Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/14/2026
Full time
Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/14/2026
Full time
Director, Machine Learning Engineer Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking a hands-on people leader for Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer people leader, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, or Java Evangelize best practices in all aspects of the engineering and modeling lifecycles Recruit, nurture, and retain top engineering talent Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 3 years of people leadership experience At least 8 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 5 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience managing and leading an engineering team 3+ years of experience architecting and designing resilient, large-scale, production machine learning systems from data preparation, to model training, and inference 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 7+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models Ability to communicate complex technical concepts clearly to a variety of audiences Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Experience hiring and developing high-performing ML engineers with an inspiring leadership style Highly developed interpersonal, presentation, and communications skills Driving impacts in the ML industry through conference presentations, papers, blog posts, open source contributions or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Director, Machine Learning Engineer New York, NY: $293,600 - $335,100 for Director, Machine Learning Engineer San Francisco, CA: $293,600 - $335,100 for Director, Machine Learning Engineer San Jose, CA: $293,600 - $335,100 for Director, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
SK hynix memory solutions America Inc.
San Jose, California
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.
11/14/2026
Full time
Job Description Job Description About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. About the Team: At SK hynix, our team's dedication to advancing enterprise SSD technologies through rigorous PCIe NVMe validation and testing has established us as industry leaders. Our focus on system-level tests, feature validation, and meticulous bug analysis underpins the reliability of our products. With expertise in testing and debugging embedded systems, we ensure that our enterprise PCIe NVMe SSD products meet the highest standards. Key Responsibilities Oversee the progress of testing, identify potential issues, and report findings to ensure compliance with design specifications, as well as with customer standards and requirements. Collaborate closely with other teams, including SOC, FW, and HW, to address and resolve product challenges. Implement coordinated efforts to debug system issues, ensuring seamless integration and reliability. Foster open communication channels to facilitate efficient problem-solving and enhance the overall product quality. Provide customer support. Address customer inquiries, resolve issues, and ensure customer satisfaction by maintaining clear communication and prompt responses. Requirements: Education and Experience: Bachelor of Science in Computer Science, Computer Engineering with 10+ years of storage-related experience, OR M.S. in CS, CE, or related field with 7+ years of storage-related experience is required. Technical Skills: Proficient in PCIe protocol, NVMe, and NAND is required. Knowledge of Linux Kernel and drivers is a plus. Strong understanding of storage architectures and system-level debugging is also beneficial. Experience with bus analyzers and trace evaluation tools is required. Programming Proficiency: Strong proficiency in programming languages such as python, C and C++ is required. COMPENSATION: $150,000/yr - $210,000/yr REGARDING COMPENSATION: SK hynix memory solutions America Inc. offers you the opportunity to apply your skills to exciting projects while working with innovative teams. Our compensation package is complimented by a generous benefits package including medical, dental, vision, life insurance and a company 401(k) match, as well as cafeteria, onsite gym and much more. If you are motivated by technical challenges, we offer a collaborative work environment that encourages career growth. The salary offered to a selected candidate will be tailored based on several factors, including the location, job grade, relevant knowledge, skills, and experience. We also take into account the internal equity among our current team members to ensure fairness and competitiveness.
Mantis Security Corporation
Adams Run, South Carolina
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
11/14/2026
Full time
Job Description Job Description Description: Mantis Security is seeking software engineers with systems programming expertise and a strong background in database engineering. This role focuses on understanding how database engines and core services work internally, reading source code, examining network communications, and modifying software to support mission requirements. Candidates should be able to move beyond queries, schemas, and application interfaces to understand how a database processes requests, exchanges data, and interacts with other components. The work involves tracing behavior through unfamiliar codebases and protocols, identifying where changes belong, and understanding their effects across an integrated technology stack. This role is full time on-site. What You'll Do Develop, maintain, test, and deploy secure, scalable applications and services using C, C++, Rust, Go, Java, Python, or Node.js. Apply systems programming principles, particularly in C, C++, and Rust, to develop performant and reliable software components. Develop software supporting process creation, monitoring, control, and inter-process communication. Build concurrent and multithreaded applications using appropriate synchronization, signal handling, memory management, and resource-control techniques. Design, implement, and troubleshoot networked applications using sockets, client-server architectures, and applicable network protocols. Analyze database engine source code, communication protocols, request and response formats, serialization, and packet layouts to support development and integration. Trace requests through database engine code to identify processing logic, integration points, and the effects of proposed modifications. Develop relational data-storage solutions using Structured Query Language (SQL), including data modeling, query development, performance tuning, and access control. Develop and integrate graph database solutions supporting relationship-based data modeling, analysis, and retrieval. Work across relational databases, graph databases, object storage, and search/indexing engines, including technologies such as PostgreSQL, Redis, RxDB, Neo4j, Amazon S3, and Elasticsearch. Refactor and modernize existing services, including transitioning functionality from Python to other implementation languages where appropriate. Develop and maintain Infrastructure as Code (IaC) to provision, configure, and manage infrastructure through repeatable, version-controlled workflows. Deploy, monitor, and troubleshoot cloud-hosted software, including dependencies on compute, storage, networking, identity, and security services. Integrate applications with identity providers to support authentication, authorization, federation, single sign-on, and identity-aware access control. Implement OpenID Connect (OIDC) integrations, including token validation, claims processing, client registration, redirect flows, session management, and secure API access. Incorporate Zero Trust Architecture principles into software designs, including interactions among policy decision, administration, information, and enforcement components. Collaborate with cybersecurity, infrastructure, data, and mission stakeholders to integrate security controls, cryptographic protections, logging, monitoring, and auditability throughout the software development lifecycle. Produce and maintain software designs, interface specifications, deployment procedures, configuration baselines, security implementation details, and operational support materials. Requirements: Basic Qualifications Bachelor's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Typical experience: 10 years of professional software engineering experience. Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with the ability to obtain a Counterintelligence (CI) Polygraph. Prior experience supporting the Intelligence Community. Experience applying programming concepts in a professional or academic setting. Experience applying modern software development methodologies, such as Agile, DevOps, or DevSecOps, in a professional or academic setting. Hands-on systems programming experience in one or more of C, C++, or Rust, with the ability to work across additional languages and runtimes as needed. Experience with operating-system interfaces, process management, inter-process communication, concurrency, and multithreaded application development. Understanding of synchronization primitives, signal handling, memory management, and resource management. Experience developing or troubleshooting socket-based applications and client-server communications. Experience with database engine internals, network protocol development, or comparable source-code and low-level systems analysis. Ability to navigate unfamiliar source code, trace execution and data flows, and assess how changes affect performance, interoperability, concurrency, and security. Experience with relational database design, SQL, query optimization, and database access controls. Understanding of graph database concepts and their application to relationship-based data. Experience developing infrastructure automation and deploying or supporting software in cloud environments. Experience integrating applications with identity services using OIDC and applying authentication and authorization controls. Understanding of Zero Trust Architecture concepts, including Policy Decision Points (PDPs), Policy Administration Points (PAPs), Policy Information Points (PIPs), and Policy Enforcement Points (PEPs). Strong troubleshooting, technical documentation, and collaboration skills. Agile Developer certification or Certified Scrum Developer certification. CompTIA Security+ or higher-level cybersecurity certification. We are looking for experienced engineers who want to understand how systems work, can reason through complex code and communications, and are comfortable making changes below the application layer. Candidates who meet the basic qualifications do not need experience with every technology listed under desired qualifications. Depth in systems programming and database engineering, paired with the ability to learn adjacent technologies, is what matters most. Desired Qualifications Advanced education: Master's degree in a quantitative field such as engineering or mathematics. Relevant fields include Electrical Engineering, Computer Engineering, Computer Science, Information Technology, and Information Systems. Database engineering: Experience with PostgreSQL and Neo4j, including database design, administration, performance optimization, and application integration. Protocol engineering: Experience interpreting packet captures, working with binary message formats, developing protocol parsers, or modifying database clients, drivers, extensions, or engine code. Infrastructure automation: Experience using Terraform and Ansible for cloud infrastructure provisioning, configuration management, and application deployment. Cloud and platform engineering: Experience deploying and maintaining applications and infrastructure in Amazon Web Services (AWS), including AWS GovCloud, Kubernetes, Red Hat OpenShift, and environments subject to Department of Defense Impact Level 5 requirements. Identity platforms: Experience with PingFederate, Keycloak, Radiant Logic, SailPoint, Secret Server, or Okta; experience migrating identity providers and adapting application code is especially useful. Public Key Infrastructure (PKI): Experience implementing certificate lifecycle management, key management, certificate validation, and cryptographic service integrations. Cryptographic interfaces: Experience using PKCS to integrate applications with cryptographic tokens, Hardware Security Modules (HSMs), or other secure key-storage mechanisms. Modern cryptography: Experience implementing, evaluating, or integrating cryptographic algorithms, including Module-Lattice-Based Key-Encapsulation Mechanism (ML-KEM). Data protection and service integration: Experience with Trusted Data Format (TDF), Go-based security services, enterprise service integration, or serialization technologies such as Protocol Buffers.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Business Systems Analysis Join our IT Boundary Applications & Analytics team as an IT Manager - Business Systems Analysis and lead a talented team of Business Systems Analysts who help turn complex business needs into effective technology solutions. You'll develop and empower your team, strengthen BSA practices, and partner across Business and IT to support critical applications, modernization efforts, and strategic technology initiatives that move the business forward. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Lead, coach, and develop Business Systems Analysts; set expectations, allocate work, provide feedback, and build capability across requirements, process analysis, facilitation, and business customer management. Manage delivery of the IT strategy and roadmap for the BSA function, providing vision and guidance aligned with business goals, demand priorities, and technology strategy. Guide the development and standardization of business analysis processes, policies, templates, quality standards, governance practices, and performance metrics. Ensure consistent elicitation, analysis, documentation, communication, validation, and approval of functional and non-functional requirements. Partner with business and IT leaders to understand strategic objectives, assess demand, prioritize initiatives, define timelines, and resolve dependencies and risks. Oversee analysis of business processes, user needs, costs, benefits, system requirements, organizational impacts, and solution alternatives. Optimize the design, development, operation, and support of IT systems by ensuring requirements are complete, traceable, feasible, and aligned with business outcomes. Lead customer workshops and multi-functional discussions to clarify needs, evaluate trade-offs, gain alignment, and support sound decisions. Oversee change-impact analysis, system demonstrations, training support, implementation readiness, and escalated production issue analysis. Organize technical and business reports, portfolio metrics, recommendations, and status updates for management and key team members. Promote effective collaboration among Business, Product, Architecture, Engineering, Quality, Operations, Security, Data, and project teams. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 7+ years of progressive business analysis, systems analysis, product delivery, or related technology experience, including leadership of people, teams, or complex analysis work. Bachelor degree in Information Systems, Computer Science, Business, Engineering, or a related field, or equivalent relevant experience. Experience leading requirements elicitation, process analysis, solution evaluation, impact assessment, documentation, and stakeholder approval across sophisticated initiatives. Solid understanding of business analysis practices, software development lifecycle methodologies, demand management, testing, implementation, and production support. Experience establishing standards, improving processes, managing priorities, and using metrics to improve analysis quality and delivery outcomes. Demonstrated ability to coach and develop analysts and communicate effectively with technical and non-technical audiences at all organizational levels. Strong leadership, facilitation, analytical, problem-solving, presentation, documentation, and multi-functional collaboration skills. Experience managing a Business Systems Analysis, Business Analysis, or related technology function in an enterprise environment. Experience with application modernization, process transformation, portfolio planning, or large-scale technology initiatives. Experience with business process modeling, requirements-management tools, Agile product delivery, and data-informed performance metrics. Relevant business analysis, product, Agile, project management, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information
11/14/2026
Full time
This job is with Ferguson, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Posting: Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in. IT Manager - Business Systems Analysis Join our IT Boundary Applications & Analytics team as an IT Manager - Business Systems Analysis and lead a talented team of Business Systems Analysts who help turn complex business needs into effective technology solutions. You'll develop and empower your team, strengthen BSA practices, and partner across Business and IT to support critical applications, modernization efforts, and strategic technology initiatives that move the business forward. Location: This is a Hybrid role based out of our HQ location in Newport News, VA, in accordance with our Flex schedule; 3 days office / 2 days remote. Duties and Responsibilities: Lead, coach, and develop Business Systems Analysts; set expectations, allocate work, provide feedback, and build capability across requirements, process analysis, facilitation, and business customer management. Manage delivery of the IT strategy and roadmap for the BSA function, providing vision and guidance aligned with business goals, demand priorities, and technology strategy. Guide the development and standardization of business analysis processes, policies, templates, quality standards, governance practices, and performance metrics. Ensure consistent elicitation, analysis, documentation, communication, validation, and approval of functional and non-functional requirements. Partner with business and IT leaders to understand strategic objectives, assess demand, prioritize initiatives, define timelines, and resolve dependencies and risks. Oversee analysis of business processes, user needs, costs, benefits, system requirements, organizational impacts, and solution alternatives. Optimize the design, development, operation, and support of IT systems by ensuring requirements are complete, traceable, feasible, and aligned with business outcomes. Lead customer workshops and multi-functional discussions to clarify needs, evaluate trade-offs, gain alignment, and support sound decisions. Oversee change-impact analysis, system demonstrations, training support, implementation readiness, and escalated production issue analysis. Organize technical and business reports, portfolio metrics, recommendations, and status updates for management and key team members. Promote effective collaboration among Business, Product, Architecture, Engineering, Quality, Operations, Security, Data, and project teams. Adhere to Company compliance and Health, Safety and Environment (HSE) policies, procedures, and requirements. Maintain regular and reliable attendance. Perform other duties as assigned. Qualifications and Requirements: 7+ years of progressive business analysis, systems analysis, product delivery, or related technology experience, including leadership of people, teams, or complex analysis work. Bachelor degree in Information Systems, Computer Science, Business, Engineering, or a related field, or equivalent relevant experience. Experience leading requirements elicitation, process analysis, solution evaluation, impact assessment, documentation, and stakeholder approval across sophisticated initiatives. Solid understanding of business analysis practices, software development lifecycle methodologies, demand management, testing, implementation, and production support. Experience establishing standards, improving processes, managing priorities, and using metrics to improve analysis quality and delivery outcomes. Demonstrated ability to coach and develop analysts and communicate effectively with technical and non-technical audiences at all organizational levels. Strong leadership, facilitation, analytical, problem-solving, presentation, documentation, and multi-functional collaboration skills. Experience managing a Business Systems Analysis, Business Analysis, or related technology function in an enterprise environment. Experience with application modernization, process transformation, portfolio planning, or large-scale technology initiatives. Experience with business process modeling, requirements-management tools, Agile product delivery, and data-informed performance metrics. Relevant business analysis, product, Agile, project management, technology, or leadership certification. At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more! - Pay Range: - $7,568.91 - $13,247.76 - Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles. - This role is Bonus or Incentive Plan eligible. - Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements. - The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability. Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity. Equal Employment Opportunity and Reasonable Accommodation Information
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform for enterprise wealth managers and private banks. As Senior Solutions Architect, you will be the technical bridge between that platform and the institutions we serve, combining deep investment and portfolio domain knowledge with hands-on technical skill. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our Product, Engineering, and Sales teams, and support client implementation teams through their integration journey. The first three to six months: Some of what you can expect early on: Building depth in our platform, its data model, and its integration surface Getting to know our clients, their systems, and how their data reaches us Working with Sales on live opportunities, joining client conversations and technical discovery as you build context Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Architect and support proof-of-concept implementations, translating client requirements into integration designs Run technical discovery with prospective clients to understand their portfolio, performance, and data requirements, and partner with Sales to address technical questions Provide hands-on technical support to client implementation teams, troubleshooting integration issues and advising on API and MCP usage Shape the structure and standards for our technical documentation, covering implementation guides, API references, data models, and integration patterns, and work with the team to keep it accurate and current Design reference architectures, sample code, and integration accelerators that reduce time to value for client onboarding Translate domain models such as positions, transactions, performance, and fees into clear integration guidance for client engineering teams Collaborate with Product and Engineering to channel client feedback and influence roadmap priorities Stay current on platform capabilities, releases, and roadmap so you can advise clients on what is coming Contribute to the knowledge base and self-service resources that help clients move faster on their own Build and maintain detailed knowledge of Avaloq and other core banking systems that feed data into our platform Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Clients integrate with us over our APIs and through the Model Context Protocol (MCP). Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers. Qualifications 10+ years in financial services technology, with strong domain expertise across investment and trading platforms, portfolio data, performance calculation, fee mechanics, and rebalancing Proven architecture experience: data architecture, solution design, and translating complex domain models into efficient implementations Experience with event-driven, API-first architectures and modern integration patterns Solid programming and scripting ability for building demos, accelerators, and integration examples. We are language-agnostic; Rust, TypeScript, or Python all work here A track record of producing clear technical material for varied audiences, from client engineers to executives Exceptional communication skills: present and demo to technical and executive audiences, and bridge business, product, and engineering Experience supporting enterprise clients through complex implementations, ideally in banking or wealth management It would be a real bonus if you have: Hands-on experience with AWS or another major cloud platform Experience with core banking systems, whether Avaloq or a comparable platform Experience defining documentation standards or information architecture for a technical product Experience with AI-assisted engineering and documentation tools Familiarity with GIPS, performance attribution methodologies, or regulatory reporting in wealth management Additional Information This role will require regular travel to Switzerland as well as regular travel to client site as the role grows We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
11/14/2026
Full time
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform for enterprise wealth managers and private banks. As Senior Solutions Architect, you will be the technical bridge between that platform and the institutions we serve, combining deep investment and portfolio domain knowledge with hands-on technical skill. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our Product, Engineering, and Sales teams, and support client implementation teams through their integration journey. The first three to six months: Some of what you can expect early on: Building depth in our platform, its data model, and its integration surface Getting to know our clients, their systems, and how their data reaches us Working with Sales on live opportunities, joining client conversations and technical discovery as you build context Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Architect and support proof-of-concept implementations, translating client requirements into integration designs Run technical discovery with prospective clients to understand their portfolio, performance, and data requirements, and partner with Sales to address technical questions Provide hands-on technical support to client implementation teams, troubleshooting integration issues and advising on API and MCP usage Shape the structure and standards for our technical documentation, covering implementation guides, API references, data models, and integration patterns, and work with the team to keep it accurate and current Design reference architectures, sample code, and integration accelerators that reduce time to value for client onboarding Translate domain models such as positions, transactions, performance, and fees into clear integration guidance for client engineering teams Collaborate with Product and Engineering to channel client feedback and influence roadmap priorities Stay current on platform capabilities, releases, and roadmap so you can advise clients on what is coming Contribute to the knowledge base and self-service resources that help clients move faster on their own Build and maintain detailed knowledge of Avaloq and other core banking systems that feed data into our platform Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Clients integrate with us over our APIs and through the Model Context Protocol (MCP). Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers. Qualifications 10+ years in financial services technology, with strong domain expertise across investment and trading platforms, portfolio data, performance calculation, fee mechanics, and rebalancing Proven architecture experience: data architecture, solution design, and translating complex domain models into efficient implementations Experience with event-driven, API-first architectures and modern integration patterns Solid programming and scripting ability for building demos, accelerators, and integration examples. We are language-agnostic; Rust, TypeScript, or Python all work here A track record of producing clear technical material for varied audiences, from client engineers to executives Exceptional communication skills: present and demo to technical and executive audiences, and bridge business, product, and engineering Experience supporting enterprise clients through complex implementations, ideally in banking or wealth management It would be a real bonus if you have: Hands-on experience with AWS or another major cloud platform Experience with core banking systems, whether Avaloq or a comparable platform Experience defining documentation standards or information architecture for a technical product Experience with AI-assisted engineering and documentation tools Familiarity with GIPS, performance attribution methodologies, or regulatory reporting in wealth management Additional Information This role will require regular travel to Switzerland as well as regular travel to client site as the role grows We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
LexisNexis Legal & Professional
Horsham, Pennsylvania
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
11/14/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities Confluent's Cloud Networking team is responsible for making connectivity to and from Confluent Cloud reliable, scalable, secure, cost-efficient, and simple to use - across Kafka, Flink, Connectors, Data Governance, and Tableflow, on AWS, Azure, and GCP. As Staff PM for Cloud Networking, you will own the platform strategy for how enterprises connect to Confluent Cloud. This is not a feature-level role - you will define the architecture of our networking product surface across all clouds and connection models, set the multi-year roadmap, and operate as a co-decision-maker alongside engineering leadership on the technical direction of the platform. You will work across all networking connection types - PrivateLink, VNet peering, Transit Gateway, Private Service Connect, and egress optimization - and drive alignment across engineering, field, and executive stakeholders on what we build and why. What You Will Do: • Own the platform strategy for Confluent Cloud Networking across AWS, Azure, and GCP, defining the north star, multi-year roadmap, and sequencing of bets that balance customer connectivity needs, cost efficiency, security posture, and engineering leverage. • Define frameworks and standards that other PMs, designers, and engineers use to evaluate networking decisions, including connection model selection criteria, cost attribution models, security control frameworks, and launch readiness standards. • Drive architectural decisions in partnership with engineering leadership, weighing trade-offs between user experience, cost, and operational complexity. • Expand scope and create optionality by identifying adjacent areas the team should move into, such as network observability, cost transparency tooling, and next-generation isolation models, and building the business case for investment. • Develop the product team by mentoring Senior PMs, providing feedback on product documents and roadmap thinking, and raising the bar on customer research and decision-making. • Build senior stakeholder alignment across product, engineering, sales, field, legal, and security organizations, then present the platform vision to executive leadership to secure organizational investment. Develop compelling business cases, clearly communicate trade-offs, and earn commitment for multi-year platform bets. • Define and own success metrics at the platform level, connecting technical milestones to business outcomes including revenue, retention, attach rates, and infrastructure cost efficiency. • Engage directly with strategic customers and prospects, representing the product roadmap with credibility in technical conversations with enterprise CTOs, architects, and network engineers. Required Skills • 8+ years of product management experience, with at least 3 years owning a cloud infrastructure, platform, or networking product. • Demonstrated track record of setting product strategy and roadmap at a platform or portfolio level, not just feature-level delivery. • Deep fluency in cloud networking concepts, including PrivateLink, VNet peering, Transit Gateway, Private Service Connect, DNS, security groups, CIDR/IP management, and the trade-offs across AWS, Azure, and GCP. • Experience owning products that serve enterprise customers with complex compliance, security, and connectivity requirements. • Proven ability to partner with engineering leadership as a co-decision-maker on architectural direction, rather than simply translating engineering output. • Strong analytical foundation with the ability to model unit economics, build business cases with cost and risk sensitivity, and measure platform health through leading and lagging indicators. • Practices AI-native product management by using AI tools as a true thought partner throughout the product lifecycle, including research, prioritization, specification writing, and analytics. Demonstrates sound judgment on when to use, override, and validate AI-generated outputs, while also designing products, features, and APIs that are composable, observable, and easy for AI agents and automation to consume. • Experience developing Product Managers and raising the bar on product thinking through direct mentorship, feedback, and team processes. Preferred Skills • Experience with Envoy, Service Mesh, DNS, and Kubernetes networking. • Familiarity with Terraform, API-first development, infrastructure-as-code workflows, and the networking automation practices used by enterprise engineering teams. • Exposure to network traffic metering, data transfer billing attribution, cost transparency tooling, or pricing and packaging strategy for cloud infrastructure products, including defining packaging tiers, price points, and commercial models for enterprise buyers. • Experience operating in a product-led growth (PLG) or usage-based pricing environment. • MBA degree is a plus. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role We're looking for a Staff Software Engineer I to lead the design and delivery of core control-plane infrastructure that powers Confluent Cloud. In this role, you will own highly technical projects across multiple services and teams, shaping the architecture and reliability of our cloud platform. You'll combine deep distributed systems expertise with strong execution and cross-team leadership, identifying high-leverage problems and driving them from idea to durable impact. What You Will Do Own end-to-end architecture and delivery of complex control-plane systems (APIs, controllers, orchestration workflows, and data models) that support Confluent Cloud products. Lead open-ended technical initiatives by taking ambiguous problems, clarifying requirements, defining the approach, and driving execution across teams and services. Raise the bar on reliability and operations by building resilient systems with strong observability, clear SLOs, runbooks, and safe rollout and rollback patterns. Collaborate across organizations, including Cloud Platform, Kafka, Compute, Security, Traffic, SRE, and others, to align on designs, trade-offs, and long-term platform direction. Mentor and unblock engineers at multiple levels, provide high-quality design and code reviews, and help grow the broader engineering team. Continuously improve the developer experience for our control-plane stack through tooling, automation, CI/CD, and test strategy enhancements that reduce toil and increase velocity. Influence technical strategy within your domain by identifying high-impact opportunities, proposing roadmaps, and helping prioritize work aligned with business goals. Contribute to engineering culture through documentation, design reviews, and knowledge sharing, including internal talks, wikis, and external content where appropriate. Required Skills Experienced builder: Typically 6+ years of software engineering experience, with a strong track record of delivering complex backend or distributed systems to production. Distributed systems & cloud expert: Deep hands-on experience with one or more of the following: Distributed systems design (consistency models, failure modes, data modeling, and scalability). Cloud platforms (AWS, GCP, or Azure) and cloud-native architectures. Kubernetes or similar orchestration platforms. Strong systems and coding skills: Proficiency in one or more of Go, Java, or Scala, with the ability to work across services, infrastructure, and automation. Architect and executor: Ability to define end-to-end designs, break work into milestones, de-risk early, and deliver high-quality solutions on schedule. Operationally rigorous: Strong understanding of SLOs, failure modes, observability, and incident response, with a focus on designing for safe change and graceful degradation. Great communicator: Ability to write clear design documents, articulate trade-offs effectively, and lead technical discussions with diverse stakeholders, including engineers, product managers, and leadership. Leader without authority: Proven experience leading cross-team initiatives, influencing technical direction beyond immediate ownership, and helping other engineers grow and succeed. Values-aligned: Committed to customer impact, reliability, long-term maintainability, and team success, with a focus on building durable solutions rather than simply shipping features. Preferred Skills Experience building control-plane systems, including APIs, operators/controllers, metadata services, and provisioning or orchestration workflows. Background working with Apache Kafka or other streaming and data systems. Experience designing and operating multi-region, high-availability, or disaster recovery architectures. Experience working on security-sensitive infrastructure, including identity, certificates, secrets management, mTLS, policy enforcement, or compliance-driven environments. Contributions to open-source projects, technical blogs, conference presentations, or other forms of technical thought leadership in relevant domains. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About Confluent Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square? That's the power of data in motion in action-giving organizations instant access to the massive amounts of data that is constantly flowing throughout their business.At Confluent, we're building the foundational platform for this new paradigm of data infrastructure. Our cloud-native offering is designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can create a central nervous system to innovate and win in a digital-first world.We're looking for self-motivated team members who crave a challenge and feel energized to roll up their sleeves and help realize Confluent's enormous potential. Chart your own path and take healthy risks as we solve big problems together. We value having diverse teams and want you to grow as we grow-whether you're just starting out in your career or managing a large team, you'll be amazed at the magnitude of your impact. About the Role As a Software Engineer on the Compute Platform team, you will be a key technical leader in building and evolving our next-generation, multi-tenant, cloud-native compute substrate that powers all of Confluent Cloud's diverse workloads. Our platform orchestrates workloads across thousands of Kubernetes clusters globally across all cloud service providers, providing a unified abstraction layer for scheduling, lifecycle management, and operational excellence. You'll work on critical systems including: Multi-Cluster Workload Orchestration: Build the control plane that manages workload placement, lifecycle, and state across multiple Kubernetes clusters per region Platform APIs & Abstractions: Design and evolve APIs that provide clean abstractions for polyglot workload management across diverse compute needs Cloud Platform Integration: Build and optimize deep integrations with the broader Confluent Cloud platform for seamless end-to-end operations Multi-Tenancy & Security: Implement and enhance workload isolation, network policies, and secure execution environments Observability & Operations: Drive operational excellence through monitoring integration, automated health checks, and self-healing capabilities As a senior technical leader, you think strategically and help drive end-to-end technical delivery from customer experience to scaling internal operations. You leverage your expertise in cloud-native distributed systems to take our platform to the next level while ensuring high availability, reliability, and security for our largest enterprise customers. What You Will Do Own features end to end for the Compute Platform, such as multi-cluster orchestration, workload placement, and security architecture Design and implement platform APIs and Kubernetes operators using Go to support evolving workload requirements Deliver high-impact initiatives in areas such as workload scheduling, disruption management, network isolation, rolling update strategies, and cross-cluster resource management Lead technical design reviews and drive architectural decisions across organizational boundaries Mentor and grow other engineers on the team through code reviews, pairing, and technical guidance Own operational aspects including availability, reliability, performance monitoring, emergency response, and disaster recovery for our global compute infrastructure Required Skills 5+ years of experience delivering scalable software solutions Proven track record of leading the delivery of large-scale, highly available, low-latency systems Deep expertise in Kubernetes including controller development, operator patterns, and multi-cluster architectures Strong proficiency in Go with experience building production-grade distributed systems Experience with multi-tenant platform architectures and security isolation patterns Track record of working collaboratively across teams including product management, SRE, and other engineering teams Preferred Skills Experience with observability tools and operational excellence practices Experience with multi-cloud environments (AWS, GCP, Azure) and cloud-provider integrations Track record of providing technical leadership and mentorship A smart, humble, and empathetic attitude with a strong sense of teamwork Drive and excitement about the challenges of a fast-paced, innovative software environment Familiarity with gRPC, Protobuf, and API design for internal platform services Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Date Posted: 2026-09-15 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Systems Engineering and Test Capabilities (SE&TC) offers the opportunity to design, develop, and integrate innovative solutions across the full systems engineering lifecycle. Working in a highly collaborative environment, engineers partner with multidisciplinary teams, subject matter experts, Chief Engineers, Chief Technologists, and customers to ensure complex systems are designed, integrated, and perform reliably from the first mission to every mission in support of the warfighter. Based in Tucson, Arizona, SE&TC supports a portfolio spanning domains from the seabed to space. Programs include Ship-Launched Effectors such as Standard Missile and Tomahawk , Surface-Launched Effectors such as Javelin and Coyote , Air-Launched Effectors such as AMRAAM and StormBreaker , as well as advanced technologies including hypersonic and space systems. As a Senior Systems Engineer, you will contribute directly to successful hardware or software requirements and integration for both fielded and development missile systems. This includes managing system and subsystem requirements, providing Systems Engineering technical oversight during integration and test activities, participating in verification and validation efforts for the system, and providing expertise in troubleshooting and failure investigations. Your responsibility would span the entire Systems V to include concept development, system architecture, technical trade studies, functional analysis and decomposition, requirements development and maintenance, system verification, obsolescence, production, and system maintenance. You would be responsible for cross team collaboration, sharing program process knowledge, mentoring engineers, and working with the technical and program leads to execute program tasks. What You Will Do Update, maintain, and improve requirements and requirements documentation for development and production efforts, including but not limited to software and hardware subsystems Create and manage systems architecture, requirements, interface definitions and description documents, system integration, and system verification using Cameo by collaborating with multiple product team leads and Subject Matter Experts (SMEs) to obtain necessary design information Participate in technical conversations with the customer Work with suppliers and the Supply Chain organization for procured items managed through the role of Responsible Engineering Authority (REA) for that assembly Lead verification and validation efforts, ensuring all requirements are being assessed during Verification and Qualification testing Conduct trade studies and present results to customers Work closely with the Software and Hardware teams and Chief Engineer on a variety of technical tasks Help to onboard, mentor, and guide team members using core Systems Engineering skills Provide technical expertise in development, integration, troubleshooting and failure investigations Lead Systems Verification Reviews with the Chief Engineer, Lead Systems Engineer, and Integrated Product Team Leadership Work closely with the Systems, Software, Configurable Logic, Hardware and Test teams on a variety of technical tasks Become the knowledgeable and 'go-to' Systems Engineer for the program Support Statistical Process Control assessments in the factory and as part of hardware verification of missile sections and launch platforms as well as at higher level assemblies Facilitate knowledge transfer within and across Integrated Product Teams and Cross Product Teams to include Cross-Functional collaboration and coordination Lead peer reviews and formal release of Contract Data Requirements Lists (CDRLs) and Technical Data Package (TDP) documents Support test equipment software integration and verification for system test Support system performance analysis Qualifications You Must Have Typically requires a Bachelor's Degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and a minimum of 5 (five) years of relevant experience. Experience in software, firmware or configurable logic, hardware, integration, and/or test Experience in one or more of the following areas: Model-Based Systems Engineering (MBSE); requirements development; requirements management; requirements verification; CONOPS management; and system architecture. Qualifications We Prefer Top Secret Clearance Experience presenting analytical and technical presentations Experience using Agile framework development methods / processes Experience with Automation and/or Digital Engineering Experience in the Defense Industry and specifically with military systems; tactics, techniques, and procedures, as well as Department of Defense customer infrastructure experience Experience with RTX products or related technologies is strongly valued. Experience evaluating and mitigating technical risks Experience working with multi-disciplinary technical and/or engineering teams Experience in Systems Engineering on a missile program Software or Firmware Verification and Qualification testing experience Ability to perform trade studies to optimize system performance Experience with Change Control Board (CCB), and document release experience (engineering and formal release) Experience creating and linking requirements, architecture, and verification artifacts in Cameo Experience with system and sub-system level requirements development, design and documentation of system level software architecture Experience with DOORS, Cameo and/or Common Product Data Management (cPDM) Learn More & Apply Now! This position is onsite in Tucson, AZ. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity . click apply for full job details
11/14/2026
Full time
Date Posted: 2026-09-15 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 805 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Systems Engineering and Test Capabilities (SE&TC) offers the opportunity to design, develop, and integrate innovative solutions across the full systems engineering lifecycle. Working in a highly collaborative environment, engineers partner with multidisciplinary teams, subject matter experts, Chief Engineers, Chief Technologists, and customers to ensure complex systems are designed, integrated, and perform reliably from the first mission to every mission in support of the warfighter. Based in Tucson, Arizona, SE&TC supports a portfolio spanning domains from the seabed to space. Programs include Ship-Launched Effectors such as Standard Missile and Tomahawk , Surface-Launched Effectors such as Javelin and Coyote , Air-Launched Effectors such as AMRAAM and StormBreaker , as well as advanced technologies including hypersonic and space systems. As a Senior Systems Engineer, you will contribute directly to successful hardware or software requirements and integration for both fielded and development missile systems. This includes managing system and subsystem requirements, providing Systems Engineering technical oversight during integration and test activities, participating in verification and validation efforts for the system, and providing expertise in troubleshooting and failure investigations. Your responsibility would span the entire Systems V to include concept development, system architecture, technical trade studies, functional analysis and decomposition, requirements development and maintenance, system verification, obsolescence, production, and system maintenance. You would be responsible for cross team collaboration, sharing program process knowledge, mentoring engineers, and working with the technical and program leads to execute program tasks. What You Will Do Update, maintain, and improve requirements and requirements documentation for development and production efforts, including but not limited to software and hardware subsystems Create and manage systems architecture, requirements, interface definitions and description documents, system integration, and system verification using Cameo by collaborating with multiple product team leads and Subject Matter Experts (SMEs) to obtain necessary design information Participate in technical conversations with the customer Work with suppliers and the Supply Chain organization for procured items managed through the role of Responsible Engineering Authority (REA) for that assembly Lead verification and validation efforts, ensuring all requirements are being assessed during Verification and Qualification testing Conduct trade studies and present results to customers Work closely with the Software and Hardware teams and Chief Engineer on a variety of technical tasks Help to onboard, mentor, and guide team members using core Systems Engineering skills Provide technical expertise in development, integration, troubleshooting and failure investigations Lead Systems Verification Reviews with the Chief Engineer, Lead Systems Engineer, and Integrated Product Team Leadership Work closely with the Systems, Software, Configurable Logic, Hardware and Test teams on a variety of technical tasks Become the knowledgeable and 'go-to' Systems Engineer for the program Support Statistical Process Control assessments in the factory and as part of hardware verification of missile sections and launch platforms as well as at higher level assemblies Facilitate knowledge transfer within and across Integrated Product Teams and Cross Product Teams to include Cross-Functional collaboration and coordination Lead peer reviews and formal release of Contract Data Requirements Lists (CDRLs) and Technical Data Package (TDP) documents Support test equipment software integration and verification for system test Support system performance analysis Qualifications You Must Have Typically requires a Bachelor's Degree in a Science, Technology, Engineering, or Mathematics (STEM) discipline and a minimum of 5 (five) years of relevant experience. Experience in software, firmware or configurable logic, hardware, integration, and/or test Experience in one or more of the following areas: Model-Based Systems Engineering (MBSE); requirements development; requirements management; requirements verification; CONOPS management; and system architecture. Qualifications We Prefer Top Secret Clearance Experience presenting analytical and technical presentations Experience using Agile framework development methods / processes Experience with Automation and/or Digital Engineering Experience in the Defense Industry and specifically with military systems; tactics, techniques, and procedures, as well as Department of Defense customer infrastructure experience Experience with RTX products or related technologies is strongly valued. Experience evaluating and mitigating technical risks Experience working with multi-disciplinary technical and/or engineering teams Experience in Systems Engineering on a missile program Software or Firmware Verification and Qualification testing experience Ability to perform trade studies to optimize system performance Experience with Change Control Board (CCB), and document release experience (engineering and formal release) Experience creating and linking requirements, architecture, and verification artifacts in Cameo Experience with system and sub-system level requirements development, design and documentation of system level software architecture Experience with DOORS, Cameo and/or Common Product Data Management (cPDM) Learn More & Apply Now! This position is onsite in Tucson, AZ. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity . click apply for full job details
Date Posted: 2026-10-13 Country: United States of America Location: US-IA-CEDAR RAPIDS- C Ave NE BLDG 130 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. The Senior Principal Systems Engineer Algorithms position will be a key driver of the development, integration and product ionization of the Joint Precision Approach & Landing System (JPALS) Airborne Algorithms (AA) within the Precision Landing Engineering organization. The program is looking for a Subject-Matter-Expert in Model Based Development of Airborne Algorithms with experience interfacing with multidisciplinary teams of engineers. The ideal candidate comes with experience in the complete toolset and the entire systems engineering lifecycle. What You Will Do • Define and decompose requirements related to airborne algorithms • Test algorithms and models for the JPALS program, as well as developing rapid automation of testing • Provide architecture-level insight and direction for and formulate conceptual designs for the design of high assurance airborne algorithms • Be Involved in all technical aspects of driving a design from paper to the field • Solve complex problems in flight dynamics, aviation, advanced mathematics and physics • Incorporate and champion the use of groundbreaking Model-Based Systems Engineering Development Tools • Perform Verification and Validation to the highest levels of Rigor of the systems on which you work • Conduct analysis for system trouble shooting and analysis to include a basic ability to debug software • Participate in the full System Engineering Lifecycle from Requirements Capture to Verification and Documentation Qualifications You Must Have • Experience in the entire MathWorks tool set, including but not limited to: Matlab, Simulink, Polyspace, Embedded Coder, Requirements toolbox, Stateflow, Design Verifier • Experience in reading and developing algorithm descriptions, mathematical expressions and derivations, matrix manipulations, outlier analysis, and system level analysis • Expertise of standards and objectives in the following certification rigors: DO-178, ARP, and MIL-STD-882E • Experience in Vector-Based Testing • Experience performing high-rigor software assurance verification activities such as Margin Analysis, Data dictionary, Link Analysis, MCDC, and others • Previous exposure to fielded Precision Approach and Landing Algorithms • Experience in Code Optimization and Auto-generation experience • Proficient in reading and developing algorithm descriptions, mathematical expressions and derivations, matrix manipulations, outlier analysis, and system level analysis • Experience in the systems engineering discipline • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience Qualifications We Prefer • Background in Advanced Mathematics or Physics • Experience performing Cost/Benefit analysis of prospective new tools and infrastructure • Proficient in performing data analysis and problem solving (e.g. anomaly investigation) What We Offer • Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection • Birth, adoption, parental leave benefits • Carrot Health to hormonal health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives, wellness rewards program • Doctor on Demand, virtual doctor visits • Bright Horizons, child and elder care services • Teladoc Medical Experts, second opinion program • This position is eligible for relocation assistance • And more! Learn More & Apply Now! Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. Employee Referral Eligible As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/14/2026
Full time
Date Posted: 2026-10-13 Country: United States of America Location: US-IA-CEDAR RAPIDS- C Ave NE BLDG 130 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. The Senior Principal Systems Engineer Algorithms position will be a key driver of the development, integration and product ionization of the Joint Precision Approach & Landing System (JPALS) Airborne Algorithms (AA) within the Precision Landing Engineering organization. The program is looking for a Subject-Matter-Expert in Model Based Development of Airborne Algorithms with experience interfacing with multidisciplinary teams of engineers. The ideal candidate comes with experience in the complete toolset and the entire systems engineering lifecycle. What You Will Do • Define and decompose requirements related to airborne algorithms • Test algorithms and models for the JPALS program, as well as developing rapid automation of testing • Provide architecture-level insight and direction for and formulate conceptual designs for the design of high assurance airborne algorithms • Be Involved in all technical aspects of driving a design from paper to the field • Solve complex problems in flight dynamics, aviation, advanced mathematics and physics • Incorporate and champion the use of groundbreaking Model-Based Systems Engineering Development Tools • Perform Verification and Validation to the highest levels of Rigor of the systems on which you work • Conduct analysis for system trouble shooting and analysis to include a basic ability to debug software • Participate in the full System Engineering Lifecycle from Requirements Capture to Verification and Documentation Qualifications You Must Have • Experience in the entire MathWorks tool set, including but not limited to: Matlab, Simulink, Polyspace, Embedded Coder, Requirements toolbox, Stateflow, Design Verifier • Experience in reading and developing algorithm descriptions, mathematical expressions and derivations, matrix manipulations, outlier analysis, and system level analysis • Expertise of standards and objectives in the following certification rigors: DO-178, ARP, and MIL-STD-882E • Experience in Vector-Based Testing • Experience performing high-rigor software assurance verification activities such as Margin Analysis, Data dictionary, Link Analysis, MCDC, and others • Previous exposure to fielded Precision Approach and Landing Algorithms • Experience in Code Optimization and Auto-generation experience • Proficient in reading and developing algorithm descriptions, mathematical expressions and derivations, matrix manipulations, outlier analysis, and system level analysis • Experience in the systems engineering discipline • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 10 years prior relevant experience or an Advanced Degree in a related field and minimum 7 years of experience Qualifications We Prefer • Background in Advanced Mathematics or Physics • Experience performing Cost/Benefit analysis of prospective new tools and infrastructure • Proficient in performing data analysis and problem solving (e.g. anomaly investigation) What We Offer • Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection • Birth, adoption, parental leave benefits • Carrot Health to hormonal health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives, wellness rewards program • Doctor on Demand, virtual doctor visits • Bright Horizons, child and elder care services • Teladoc Medical Experts, second opinion program • This position is eligible for relocation assistance • And more! Learn More & Apply Now! Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. Employee Referral Eligible As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities As a Senior Software Engineer II on the Fleet Management Unified Deployment team, you will play a key role in building and evolving the systems that manage the lifecycle of Confluent software across Confluent Cloud. Our platform orchestrates deployment, upgrades, recovery, and operational management across thousands of environments globally and across all major cloud providers, providing a unified control plane for safe, scalable, and consistent service operations. You'll work on critical systems including: • Unified Deployment Control Plane: Build and evolve the control plane that manages software rollout, upgrades, recovery, and lifecycle operations across large multi-cloud fleets. • Fleet Lifecycle Orchestration: Develop systems that coordinate placement, maintenance, state transitions, and recovery workflows for services running across Confluent Cloud. • Platform APIs & Abstractions: Design and enhance APIs that provide clean abstractions for deployment workflows, service lifecycle management, and fleet-wide operational controls. • Cloud Platform Integration: Build and optimize integrations with the broader Confluent Cloud platform to enable seamless end-to-end operations across AWS, GCP, and Azure. • Multi-Tenancy & Security: Implement and strengthen isolation, security controls, and safe operational boundaries across deployment and runtime management systems. • Observability & Operations: Drive operational excellence through monitoring, automated health checks, remediation workflows, and self-healing capabilities. This job can be performed from anywhere in the US Required Skills • 6+ years of experience delivering scalable software solutions. • Deep expertise in Kubernetes, including controller development, operator patterns, and multi-cluster architectures. • Strong proficiency in Go, with experience building production-grade backend or platform services. • Experience with fleet-wide lifecycle management, deployment orchestration, or cloud infrastructure automation. • Experience running production services in cloud environments, with strong knowledge of reliability, networking, and security fundamentals. • Proven ability to independently own significant technical projects and collaborate effectively across teams. Preferred Skills • Experience with multi-tenant platform architectures and security isolation patterns. • Familiarity with gRPC, Protobuf, and API design for internal platform services. • Demonstrated track record of mentorship and technical leadership. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/14/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
