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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
Job Description QA Automation Engineer - 0-3 Years / Freshers Welcome Location: Chicago, IL, United States Workplace Type: On-site Employment Type: Full-time Seniority Level: Entry Level Job Summary We are looking for a motivated QA Automation Engineer to join our quality engineering team. This opportunity is suitable for recent graduates, entry-level candidates, and professionals with 0-3 years of experience who are interested in software testing and test automation. The ideal candidate should have a basic understanding of software testing concepts and programming, with an interest in developing automated test scripts and improving software quality. Fresh graduates are welcome to apply. Key Responsibilities Develop and maintain automated test scripts for software applications. Execute functional, regression, integration, and API testing. Identify, document, and track software defects. Analyze test results and communicate issues to development teams. Create and maintain test cases and test scenarios. Support automation testing using Selenium or similar frameworks. Perform manual testing when required. Participate in regression and release testing. Work with developers and QA team members to resolve defects. Assist in improving test automation coverage. Validate application functionality across different environments. Prepare testing reports and documentation. Participate in Agile/Scrum ceremonies. Support continuous improvement of QA processes. Required Qualifications Bachelor's or Master's degree in: Computer Science Information Technology Computer Engineering Software Engineering Information Systems or a related technical field. 0-3 years of experience in QA/testing. Fresh graduates are welcome to apply. Basic understanding of software testing concepts. Basic programming knowledge. Understanding of SDLC and STLC. Good analytical and problem-solving skills. Strong attention to detail. Required Skills Software Testing QA Testing Test Automation Selenium Java SQL Manual Testing Regression Testing API Testing Test Case Development Preferred Skills Python JavaScript Playwright Cypress REST API Postman JUnit TestNG Git GitHub Jenkins CI/CD Agile/Scrum Jira Soft Skills Analytical Thinking Problem Solving Communication Team Collaboration Attention to Detail Time Management Critical Thinking Willingness to Learn Adaptability Education Bachelor's or Master's Degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, Information Systems, or a related technical field. Experience 0-3 Years Freshers / Recent Graduates Welcome
11/11/2026
Full time
Job Description QA Automation Engineer - 0-3 Years / Freshers Welcome Location: Chicago, IL, United States Workplace Type: On-site Employment Type: Full-time Seniority Level: Entry Level Job Summary We are looking for a motivated QA Automation Engineer to join our quality engineering team. This opportunity is suitable for recent graduates, entry-level candidates, and professionals with 0-3 years of experience who are interested in software testing and test automation. The ideal candidate should have a basic understanding of software testing concepts and programming, with an interest in developing automated test scripts and improving software quality. Fresh graduates are welcome to apply. Key Responsibilities Develop and maintain automated test scripts for software applications. Execute functional, regression, integration, and API testing. Identify, document, and track software defects. Analyze test results and communicate issues to development teams. Create and maintain test cases and test scenarios. Support automation testing using Selenium or similar frameworks. Perform manual testing when required. Participate in regression and release testing. Work with developers and QA team members to resolve defects. Assist in improving test automation coverage. Validate application functionality across different environments. Prepare testing reports and documentation. Participate in Agile/Scrum ceremonies. Support continuous improvement of QA processes. Required Qualifications Bachelor's or Master's degree in: Computer Science Information Technology Computer Engineering Software Engineering Information Systems or a related technical field. 0-3 years of experience in QA/testing. Fresh graduates are welcome to apply. Basic understanding of software testing concepts. Basic programming knowledge. Understanding of SDLC and STLC. Good analytical and problem-solving skills. Strong attention to detail. Required Skills Software Testing QA Testing Test Automation Selenium Java SQL Manual Testing Regression Testing API Testing Test Case Development Preferred Skills Python JavaScript Playwright Cypress REST API Postman JUnit TestNG Git GitHub Jenkins CI/CD Agile/Scrum Jira Soft Skills Analytical Thinking Problem Solving Communication Team Collaboration Attention to Detail Time Management Critical Thinking Willingness to Learn Adaptability Education Bachelor's or Master's Degree in Computer Science, Information Technology, Computer Engineering, Software Engineering, Information Systems, or a related technical field. Experience 0-3 Years Freshers / Recent Graduates Welcome
Job Description About the Company Our client is looking for a hands-on engineering leader to guide the modernization of legacy applications into AI-ready enterprise platforms. This role blends team leadership with active technical work: you will manage a small group of engineers, shape platform architecture, and turn the organization's AI strategy into a practical roadmap that delivers scalable, reliable systems. Responsibilities Lead and develop a full-stack team of employees and contractors, setting engineering standards, practices, and priorities Own application architecture and technology choices, lead design and code reviews, and work through complex technical problems Mentor developers through hands-on example, building prototypes and proofs of concept that establish patterns for the team to scale Work with business analysts to deliver secure, maintainable, production-ready solutions Translate enterprise AI strategy into platform roadmaps, and define the AI/ML and agentic operations approach, including tooling and standards Collaborate with data, security, and infrastructure teams on end-to-end AI architecture covering compute, model lifecycle, and deployment Lead build-vs.-buy decisions, platform and tool evaluations, and cost/performance tradeoffs Design and scale cloud infrastructure on Azure and Snowflake, balancing near-term needs with long-term growth Experience Bachelor's degree in computer science, software engineering, IT, or a related field, or equivalent experience 5+ years of software development and architecture experience on production applications Track record of leading, mentoring, and setting technical direction for engineering teams, including across distributed groups Strong skills in Python, React, TypeScript, C#, .NET/ASP.NET Core, REST APIs, and SQL and/or PostgreSQL Solid grasp of architecture, security, CI/CD, scalability, and observability Knowledge of AI/ML ecosystems and of designing MLOps and AIOps frameworks at enterprise scale Comfort working through ambiguity and presenting technical ideas clearly to senior and executive (VP/SVP) audiences MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.
11/11/2026
Full time
Job Description About the Company Our client is looking for a hands-on engineering leader to guide the modernization of legacy applications into AI-ready enterprise platforms. This role blends team leadership with active technical work: you will manage a small group of engineers, shape platform architecture, and turn the organization's AI strategy into a practical roadmap that delivers scalable, reliable systems. Responsibilities Lead and develop a full-stack team of employees and contractors, setting engineering standards, practices, and priorities Own application architecture and technology choices, lead design and code reviews, and work through complex technical problems Mentor developers through hands-on example, building prototypes and proofs of concept that establish patterns for the team to scale Work with business analysts to deliver secure, maintainable, production-ready solutions Translate enterprise AI strategy into platform roadmaps, and define the AI/ML and agentic operations approach, including tooling and standards Collaborate with data, security, and infrastructure teams on end-to-end AI architecture covering compute, model lifecycle, and deployment Lead build-vs.-buy decisions, platform and tool evaluations, and cost/performance tradeoffs Design and scale cloud infrastructure on Azure and Snowflake, balancing near-term needs with long-term growth Experience Bachelor's degree in computer science, software engineering, IT, or a related field, or equivalent experience 5+ years of software development and architecture experience on production applications Track record of leading, mentoring, and setting technical direction for engineering teams, including across distributed groups Strong skills in Python, React, TypeScript, C#, .NET/ASP.NET Core, REST APIs, and SQL and/or PostgreSQL Solid grasp of architecture, security, CI/CD, scalability, and observability Knowledge of AI/ML ecosystems and of designing MLOps and AIOps frameworks at enterprise scale Comfort working through ambiguity and presenting technical ideas clearly to senior and executive (VP/SVP) audiences MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.
Job Description Full-time Role and US Citizen / GC Holder required. Must have Skills Python or Java Node.js React AWS services serverless architecture AWS Glue AWS Aurora Terraform GitLab HCLTech is looking for a highly talented and self- Senior Developer - Full Stack Full time role) to join it in advancing the technological world through innovation and creativity. Must have Skills Python or Java Node.js React AWS services serverless architecture AWS Glue AWS Aurora Terraform GitLab Key Responsibilities Core Technical Skills Strong proficiency in Python or Java Solid experience with Node.js Strong hands-on experience with React Deep understanding of AWS services and cloud application design Experience with serverless architecture Experience with AWS Glue and data integration/feed pipeline technologies Experience working with AWS Aurora Practical experience with Terraform Strong knowledge of GitLab , including CI/CD pipelines and code management Additional Skills Experience using Kiro or similar AI-assisted development platforms Familiarity with modern software engineering practices, including: RESTful API design Microservices Event-driven architecture Automated testing Secure coding practices Performance tuning and scalability Ability to debug, analyze logs, and resolve production issues efficiently Strong collaboration and communication skills Pay Range Minimum: 95000 Pay Range Maximum: 130000 HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
11/11/2026
Full time
Job Description Full-time Role and US Citizen / GC Holder required. Must have Skills Python or Java Node.js React AWS services serverless architecture AWS Glue AWS Aurora Terraform GitLab HCLTech is looking for a highly talented and self- Senior Developer - Full Stack Full time role) to join it in advancing the technological world through innovation and creativity. Must have Skills Python or Java Node.js React AWS services serverless architecture AWS Glue AWS Aurora Terraform GitLab Key Responsibilities Core Technical Skills Strong proficiency in Python or Java Solid experience with Node.js Strong hands-on experience with React Deep understanding of AWS services and cloud application design Experience with serverless architecture Experience with AWS Glue and data integration/feed pipeline technologies Experience working with AWS Aurora Practical experience with Terraform Strong knowledge of GitLab , including CI/CD pipelines and code management Additional Skills Experience using Kiro or similar AI-assisted development platforms Familiarity with modern software engineering practices, including: RESTful API design Microservices Event-driven architecture Automated testing Secure coding practices Performance tuning and scalability Ability to debug, analyze logs, and resolve production issues efficiently Strong collaboration and communication skills Pay Range Minimum: 95000 Pay Range Maximum: 130000 HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. A candidate's pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year How You'll Grow At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
Job Description Define and evolve the long-term data architecture and technical standards across teams and platforms Design and oversee highly scalable, resilient, and cost-efficient data systems using cloud technologies (e.g., AWS) Make principled tradeoffs between AWS-managed services and open technologies (e.g., Spark, Flink, Iceberg) to ensure long-term scalability and maintainability. Lead complex, cross-domain data initiatives that span multiple teams, systems, and business functions Serve as a technical authority and escalation point for complex data engineering challenges and architectural decisions Establish best practices for data quality, reliability, observability, security, and governance across the organization Drive alignment on data modeling, batch and real-time integration patterns, and platform usage to reduce duplication and technical debt Partner with engineering, analytics, and business leaders to translate strategic goals into technical data solutions Mentor senior engineers and influence technical growth through design reviews, architecture forums, and technical guidance Use an AI-first approach to mitigate systemic risks, improve engineering productivity focusing on automation and operational efficiency Balance near-term delivery with long-term platform health, scalability, and sustainability Your Experience, Skills & Competencies Bachelor's degree in related field Computer Science, Information Systems, Computer Engineering or equivalent experience Minimum of 8+ years of experience in data engineering, software engineering, or platform engineering roles. Proven experience designing and evolving large-scale, cloud-based data platforms in AWS. Experience leading cross-team, multi-system data initiatives with long-term architectural impact Demonstrated ownership of mission-critical production data systems Experience influencing technical direction across teams without direct people management Expert-level knowledge of cloud data architectures and AWS data services Advanced data modeling and data warehousing design expertise. Acts as a trusted technical authority, guiding architectural decisions, mentoring senior engineers, and influencing outcomes across teams. Strong programming skills (Python, SQL, and/or Spark) Deep understanding of distributed systems, performance tuning, and scalability Infrastructure-as-code, CI/CD, and automation expertise. Ability to design scalable, fault-tolerant, and cost-efficient data architectures Strong understanding of distributed systems, data partitioning, and performance tuning Expertise in data quality, observability, and reliability practices Knowledge of data governance, security, and compliance best practices Strong debugging and root-cause analysis skills across data pipelines and cloud infrastructure. Designing for reliability, observability, fault tolerance, and cost efficiency at scale Implementing organization-wide standards for data quality, security, and governance Identifying and reducing technical debt across data platforms Experience applying AI/GenAI in production to engineering workflows, automation, data quality, or developer productivity Demonstrates key competencies to include managing complexity, valuing differences, and cultivating innovation PAY RANGE : Pay Range : $75-$80/hr W2 Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc. Equal Employment Opportunity (EEO): HireRising is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. How to Apply: Submit your resume
11/11/2026
Full time
Job Description Define and evolve the long-term data architecture and technical standards across teams and platforms Design and oversee highly scalable, resilient, and cost-efficient data systems using cloud technologies (e.g., AWS) Make principled tradeoffs between AWS-managed services and open technologies (e.g., Spark, Flink, Iceberg) to ensure long-term scalability and maintainability. Lead complex, cross-domain data initiatives that span multiple teams, systems, and business functions Serve as a technical authority and escalation point for complex data engineering challenges and architectural decisions Establish best practices for data quality, reliability, observability, security, and governance across the organization Drive alignment on data modeling, batch and real-time integration patterns, and platform usage to reduce duplication and technical debt Partner with engineering, analytics, and business leaders to translate strategic goals into technical data solutions Mentor senior engineers and influence technical growth through design reviews, architecture forums, and technical guidance Use an AI-first approach to mitigate systemic risks, improve engineering productivity focusing on automation and operational efficiency Balance near-term delivery with long-term platform health, scalability, and sustainability Your Experience, Skills & Competencies Bachelor's degree in related field Computer Science, Information Systems, Computer Engineering or equivalent experience Minimum of 8+ years of experience in data engineering, software engineering, or platform engineering roles. Proven experience designing and evolving large-scale, cloud-based data platforms in AWS. Experience leading cross-team, multi-system data initiatives with long-term architectural impact Demonstrated ownership of mission-critical production data systems Experience influencing technical direction across teams without direct people management Expert-level knowledge of cloud data architectures and AWS data services Advanced data modeling and data warehousing design expertise. Acts as a trusted technical authority, guiding architectural decisions, mentoring senior engineers, and influencing outcomes across teams. Strong programming skills (Python, SQL, and/or Spark) Deep understanding of distributed systems, performance tuning, and scalability Infrastructure-as-code, CI/CD, and automation expertise. Ability to design scalable, fault-tolerant, and cost-efficient data architectures Strong understanding of distributed systems, data partitioning, and performance tuning Expertise in data quality, observability, and reliability practices Knowledge of data governance, security, and compliance best practices Strong debugging and root-cause analysis skills across data pipelines and cloud infrastructure. Designing for reliability, observability, fault tolerance, and cost efficiency at scale Implementing organization-wide standards for data quality, security, and governance Identifying and reducing technical debt across data platforms Experience applying AI/GenAI in production to engineering workflows, automation, data quality, or developer productivity Demonstrates key competencies to include managing complexity, valuing differences, and cultivating innovation PAY RANGE : Pay Range : $75-$80/hr W2 Pay range offered to a successful candidate will be based on several factors, including the candidate's education, work experience, work location, specific job duties, certifications, etc. Equal Employment Opportunity (EEO): HireRising is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. How to Apply: Submit your resume
Job Description About the job A leading quantitative hedge fund is seeking a Senior Infrastructure Software Engineer to design and build the core platforms powering its global research and trading environment. You'll work on technically challenging problems across distributed systems, compute, networking, developer infrastructure, and large-scale automation. Rather than simply operating infrastructure, you'll build the software and platforms that make critical systems faster, more scalable, and more reliable. What You'll Bring Strong software engineering experience with one or more languages such as Python and/or C++. Deep understanding of Linux systems and production infrastructure Experience designing and building large-scale infrastructure, platforms, or distributed systems Strong knowledge of systems design, networking, concurrency, or distributed computing Experience developing software and automation that improves scalability, performance, and reliability Ability to solve complex technical problems across multiple layers of the infrastructure stack Nice to Have Background within a quantitative trading firm, leading technology company, or high-growth startup Experience with Kubernetes, Docker, cloud platforms, or large-scale compute environments Experience building internal platforms, developer tooling, orchestration, or infrastructure automation Exposure to high-performance computing, storage, networking, or performance optimization On Offer Market-leading compensation and benefits High-ownership, engineering-first culture Complex technical problems with significant scope and scale Direct impact on business-critical research and trading infrastructure Apply or get in touch for more information!
11/11/2026
Full time
Job Description About the job A leading quantitative hedge fund is seeking a Senior Infrastructure Software Engineer to design and build the core platforms powering its global research and trading environment. You'll work on technically challenging problems across distributed systems, compute, networking, developer infrastructure, and large-scale automation. Rather than simply operating infrastructure, you'll build the software and platforms that make critical systems faster, more scalable, and more reliable. What You'll Bring Strong software engineering experience with one or more languages such as Python and/or C++. Deep understanding of Linux systems and production infrastructure Experience designing and building large-scale infrastructure, platforms, or distributed systems Strong knowledge of systems design, networking, concurrency, or distributed computing Experience developing software and automation that improves scalability, performance, and reliability Ability to solve complex technical problems across multiple layers of the infrastructure stack Nice to Have Background within a quantitative trading firm, leading technology company, or high-growth startup Experience with Kubernetes, Docker, cloud platforms, or large-scale compute environments Experience building internal platforms, developer tooling, orchestration, or infrastructure automation Exposure to high-performance computing, storage, networking, or performance optimization On Offer Market-leading compensation and benefits High-ownership, engineering-first culture Complex technical problems with significant scope and scale Direct impact on business-critical research and trading infrastructure Apply or get in touch for more information!
This job is with Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices. About the Role: You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions. Responsibilities of the Role: Managing application and data integration platforms using AWS Cloud Components Building robust data pipeline using modern data engineering practice in a Cloud architecture Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards Responsible for Data availability /enablement for business reporting and analytics within the SLA Create and manage data, applications and technology architecture documentation and design artifacts Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc. Requirements of the Role: 5-7 years of experience in data modeling, data warehousing, and big data architectures 5-7 years of experience of Amazon cloud (AWS)- S3, RDS, Lambda, Glue, SNS, Terraform etc. 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT) 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have Strong experience with databases such as Snowflake Postgres, Aurora, Athena Strong programming experience with Python, Linux/bash scripting, Ansible Experience using GitHub, Bit Bucket, or other code repository solution Understanding and knowledge of Automated code Deployments CI/CD BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
11/11/2026
Full time
This job is with Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices. About the Role: You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions. Responsibilities of the Role: Managing application and data integration platforms using AWS Cloud Components Building robust data pipeline using modern data engineering practice in a Cloud architecture Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards Responsible for Data availability /enablement for business reporting and analytics within the SLA Create and manage data, applications and technology architecture documentation and design artifacts Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc. Requirements of the Role: 5-7 years of experience in data modeling, data warehousing, and big data architectures 5-7 years of experience of Amazon cloud (AWS)- S3, RDS, Lambda, Glue, SNS, Terraform etc. 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT) 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have Strong experience with databases such as Snowflake Postgres, Aurora, Athena Strong programming experience with Python, Linux/bash scripting, Ansible Experience using GitHub, Bit Bucket, or other code repository solution Understanding and knowledge of Automated code Deployments CI/CD BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
This job is with Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
11/11/2026
Full time
This job is with Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Job Description Job Description Divergent is building the new industrial age. Every day, our teams design, manufacture, and assemble advanced systems for some of the world's most demanding industries. Our integrated engineering and manufacturing platform transforms complex designs into production-ready solutions, helping customers move faster, build smarter, and deliver critical systems when they matter most. Divergent is a qualified Tier 1 supplier to global automotive OEMs and supports leading U.S. aerospace and defense companies. Join us and help push the boundaries of what can be built. Purpose We are seeking a talented and motivated Software Developer to join our Robotics & AI Software team. In this role, you will have the opportunity to work closely with experienced automation and software engineers to develop and implement innovative algorithms for task and motion planning plus computer vision in robotic systems. As a key member of our team, you will contribute to the design, development, and testing of software solutions aimed at enhancing the efficiency and reliability of robotic software algorithms. This involves symbolic task planning, robot kinematics, collision detection, optimization, and computer vision. The Role Develop and maintain software development best practices to ensure high-quality code, efficient testing, and timely releases. Collaborate with other teams to ensure that our software integrates seamlessly with other software products. Collaborate with senior engineers to understand project requirements and contribute to the development of software solutions for robot task and motion planning. Design, implement, and optimize algorithms within our planning framework, leveraging your programming skills and understanding of robotics principles. Assist in the integration and testing of computer vision software to ensure robustness and performance in real-world scenarios. Document your work, including code, algorithms, user manuals, and procedures, to support knowledge sharing and future development efforts. Stay updated on advancements in robot planning algorithms and technologies, and contribute fresh ideas and insights to the team. Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Bachelor's in Computer Science, Robotics, or related field with 5+ years of professional experience. Proficient in programming languages such as C++ and Python. Strong knowledge of data-structures, algorithms, and design pattern. Fundamental understanding of industrial robotics including manipulator kinematics & dynamics, robot trajectory generation, and communications protocols. Expertise with search algorithms, optimization methods, and constraint satisfaction. Experience with open source robotic planning and manipulation software packages such as MoveIt and ROS. Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams, including product managers & owners, engineers, and internal customers Preferred Qualifications Master's or Ph.D. in Computer Science, Robotics, or related field with 3+ years of professional experience. Understanding of computer vision libraries such as OpenCV and PCL. Experience using programming languages such as C#, TypeScript. Explored using Generative AI in robotics. Strong publication record and/or open source contributions in the field of robotics. Work Environment Hybrid Compensation At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E05 - E06 as evaluated through our interview process. E05 / Senior: $141,380 -$194.390 E06 / Staff: $163,270 - $224,500 Pay Range $141,380-$224,500 USD What We Offer Our Regular, Full-Time Employees: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent 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 characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.
11/11/2026
Full time
Job Description Job Description Divergent is building the new industrial age. Every day, our teams design, manufacture, and assemble advanced systems for some of the world's most demanding industries. Our integrated engineering and manufacturing platform transforms complex designs into production-ready solutions, helping customers move faster, build smarter, and deliver critical systems when they matter most. Divergent is a qualified Tier 1 supplier to global automotive OEMs and supports leading U.S. aerospace and defense companies. Join us and help push the boundaries of what can be built. Purpose We are seeking a talented and motivated Software Developer to join our Robotics & AI Software team. In this role, you will have the opportunity to work closely with experienced automation and software engineers to develop and implement innovative algorithms for task and motion planning plus computer vision in robotic systems. As a key member of our team, you will contribute to the design, development, and testing of software solutions aimed at enhancing the efficiency and reliability of robotic software algorithms. This involves symbolic task planning, robot kinematics, collision detection, optimization, and computer vision. The Role Develop and maintain software development best practices to ensure high-quality code, efficient testing, and timely releases. Collaborate with other teams to ensure that our software integrates seamlessly with other software products. Collaborate with senior engineers to understand project requirements and contribute to the development of software solutions for robot task and motion planning. Design, implement, and optimize algorithms within our planning framework, leveraging your programming skills and understanding of robotics principles. Assist in the integration and testing of computer vision software to ensure robustness and performance in real-world scenarios. Document your work, including code, algorithms, user manuals, and procedures, to support knowledge sharing and future development efforts. Stay updated on advancements in robot planning algorithms and technologies, and contribute fresh ideas and insights to the team. Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Bachelor's in Computer Science, Robotics, or related field with 5+ years of professional experience. Proficient in programming languages such as C++ and Python. Strong knowledge of data-structures, algorithms, and design pattern. Fundamental understanding of industrial robotics including manipulator kinematics & dynamics, robot trajectory generation, and communications protocols. Expertise with search algorithms, optimization methods, and constraint satisfaction. Experience with open source robotic planning and manipulation software packages such as MoveIt and ROS. Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes). Excellent communication and collaboration skills. Ability to work effectively with cross-functional teams, including product managers & owners, engineers, and internal customers Preferred Qualifications Master's or Ph.D. in Computer Science, Robotics, or related field with 3+ years of professional experience. Understanding of computer vision libraries such as OpenCV and PCL. Experience using programming languages such as C#, TypeScript. Explored using Generative AI in robotics. Strong publication record and/or open source contributions in the field of robotics. Work Environment Hybrid Compensation At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E05 - E06 as evaluated through our interview process. E05 / Senior: $141,380 -$194.390 E06 / Staff: $163,270 - $224,500 Pay Range $141,380-$224,500 USD What We Offer Our Regular, Full-Time Employees: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent 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 characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/11/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations
11/11/2026
Full time
Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations
Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations
11/11/2026
Full time
Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations
Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations
11/11/2026
Full time
Job Description Job Description About Runware Runware is the AI inference platform that builds and operates its own infrastructure, end to end. One API gives developers access to image, video, audio, 3D and language models, and our Sonic Inference Engine runs them on hardware we designed ourselves: custom servers, custom boards and a closed-loop, water-free cooling system, packed into Sonic Inference Pods - roughly 1 MW of liquid-cooled GPU compute in a 20-foot container that can be sited wherever power is cheap and available. This is why infrastructure at Runware is the product, not a cost center. Our edge is that we run inference 30-90% cheaper per GPU-hour than our peers, and that edge is earned in the data center: in how fast we can stand up a new site, how tightly we run our fleet, and how little downtime our customers ever see. More than 20 billion requests have run through the platform for over a million developers, with customers such as Wix, Quora, Freepik and Higgsfield building production applications on top of it. We raised a $50M Series A led by Dawn Capital, with Comcast Ventures, Speedinvest, Insight Partners and a16z speedrun participating, and we are now building out a global network of pods across the US and Europe. We need someone to own how that network is operated. The Role As Network Architect, you'll own the design, build, and operation of the network that moves every inference request through Runware: the GPU cluster fabric inside our data centers, the backbone and edge that deliver results to customers, and the cloud and hybrid connectivity that ties partner capacity into one platform. Runware's product is latency. The network is where a large share of that latency, and of our cost per request, is decided, and today there is no single owner for it. You'll be that owner. This is a senior, hands-on architecture role with significant authority and no direct reports to start. You'll report to Risto Haukioja, Head of AI Infrastructure. You'll set the network strategy, design and build the systems yourself, define how they are operated and capacity-planned, and lead through design authority across Infrastructure, Platform, and ML Engineering. You've run high-performance teams before, and you'll shape the standards and hiring plan for network engineering as the footprint grows. We expect you to use AI tooling as a core part of how you work, so that one architect can produce what a small team used to. What you'll do Own the network architecture end to end. Define the target architecture and multi-year roadmap for Runware's data center fabric, backbone and edge, and cloud and hybrid connectivity, and make the design decisions that trade off latency, throughput, cost, and resilience. Design and build the GPU cluster fabric. Architect spine-leaf fabrics for multi-node inference and training: 400G/800G Ethernet, RoCEv2 and InfiniBand, lossless transport, congestion control, and topology choices that keep east-west traffic from becoming the bottleneck. Deliver inference to customers fast and reliably. Own the backbone and edge: multi-region interconnect, transit and peering strategy, anycast and traffic steering, DDoS and edge security posture, and the path that gets every response to the customer with as few milliseconds as possible. Connect cloud, bare metal, and partner capacity into one platform. Design VPC, VPN, and private interconnect across hyperscalers, bare-metal providers, and colocation sites so new capacity can be brought online quickly and operated consistently. Build network operations, not just networks. Define how the network is monitored, changed, and repaired: telemetry and observability, change management, incident runbooks, and on-call practices that hold up at scale. Stand up what doesn't exist yet. Run capacity planning. Build the models that forecast bandwidth, port, and interconnect needs from product growth, and turn them into procurement and build plans with lead times that match the business, not the other way round. Automate the network. Treat network configuration as code: IaC, intent-based provisioning, automated validation and rollback, and telemetry-driven remediation, so the network can grow without a proportional growth in people. Accelerate your own output with AI. Use AI tools throughout your work (design exploration, configuration generation, log and telemetry analysis, documentation, automation code) and set the standard for how the wider infrastructure team does the same. Lead through design authority. Set network standards, review designs across Infrastructure, Platform, and ML Engineering, mentor engineers, and define the hiring plan and operating model for network engineering as the footprint grows. Own vendor and carrier relationships. Evaluate and select hardware, optics, carriers, and interconnect partners, and negotiate for performance and cost. Requirements 15+ years in network engineering and architecture, including at least 5 years as the design authority for large-scale production networks at a cloud provider, hyperscaler, CDN, HPC/AI infrastructure company, or carrier. Hands-on. You still design, configure, and troubleshoot networks yourself, and you've built data center, backbone, and cloud networks from the ground up, not just inherited them. Deep, current expertise in modern data center networking: spine-leaf Clos fabrics, EVPN/VXLAN, BGP at scale, 400G/800G Ethernet, RoCEv2 and lossless Ethernet (PFC, ECN, DCQCN), and InfiniBand for GPU clusters. Strong backbone and edge experience: multi-region interconnect, transit and peering, anycast, traffic engineering, and DDoS mitigation, with a track record of measurably reducing customer-facing latency. Cloud and hybrid networking across at least two hyperscalers plus bare-metal or colocation environments: VPC design, private interconnect (Direct Connect, ExpressRoute, Cloud Interconnect or equivalent), and VPN at scale. Experience designing and running network operations: observability, change management, incident response, and on-call, with the judgement to know what to build first when starting from little. Proven capacity planning: you've built forecasting models that turned product growth into bandwidth, port, and interconnect plans, and you've run the procurement cycles that followed. Network automation as a working practice, not an aspiration: Python or Go, IaC for network config, CI-style validation, and streaming telemetry. You use AI to accelerate your own output. You can show how AI tooling is part of how you design, write configuration and automation code, analyse telemetry, and document, and you expect it to multiply what you ship. Experience leading high-performance engineering teams: you've hired, set standards, and run teams that delivered under pressure, and you lead well through influence when you have no direct reports. Strong ownership and comfort in a fast-moving, ambiguous environment where you identify the problems, create clarity, and drive the work to done. Based in, or with full working overlap with, US Pacific time. Strong Differentiators Experience networking large GPU clusters for AI inference or training (NVIDIA Spectrum-X, Quantum InfiniBand, NCCL tuning, GPUDirect RDMA), and an opinion on Ethernet versus InfiniBand backed by production numbers. Hands-on with modern network operating systems and disaggregated hardware: SONiC, Cumulus, Arista EOS, Junos, or NVIDIA Cumulus/Spectrum platforms. Experience with Ultra Ethernet, 800G and 1.6T optics, co-packaged optics, or other emerging fabric technologies. Experience running peering and transit for a latency-sensitive product, including ASN management, route optimisation, and IXP presence. Experience with eBPF, DPDK, SmartNICs/DPUs, or kernel-bypass networking on the host side. Prior work at a startup or scale-up where you built the network function from zero. Public contributions: RFCs, open-source network tooling, conference talks, or published post-mortems. Benefits We're a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they're followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready and stronger than ever for the next leap. Generous paid time off: vacation, sick days, public holidays Meaningful stock options: share in the upside you create Flexible hours: own your schedule outside core collaboration blocks Family leave: paid maternity, paternity, and caregiver time Company retreats: twice-yearly gatherings in inspiring locations
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
11/11/2026
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 WarpStream is an Apache Kafka compatible data streaming platform built directly on top of object storage with zero local disks. It's delivered to customers as a BYOC-style offering. The WarpStream team is responsible for this product offering from top to bottom, and as a Senior Engineer you'll do everything from working on the storage engine running in the Agents, improving the scalability of our multi-tenant control plane, implementing new features like transactions, active-active multi-regions clusters, and even write some HTML/Javascript for our developer console. We're a small team of < 15 engineers, so you'll be expected to work across the entire stack from bashing bits at the network level to making sure our UI provides a great developer experience. You will have an opportunity to solve complex distributed systems problems at scale. You will build services that can operate across different cloud service providers like AWS, GCP, and Azure. You'll be on-call for all of it. The WarpStream team is fully remote and geographically distributed, currently we have engineers in: Spain, France, Canada, Ireland, and the USA. What You Will Do: Independently drive execution of complex technical projects end to end. Build mission-critical backend services that deliver value to our customers. You will play a crucial role in architecting, designing, developing and operationalizing high performance, scalable, reliable and resilient services. Troubleshoot and debug technical issues inside a deep and complex technical stack that includes microservices, containers, and virtualization. Ensure operational readiness of the services and meet the availability and performance SLA commitments to our customers. Required Skills 5+ years industry experience designing, building, scaling and supporting backend systems in production with a solid grasp on good software engineering practices such as code reviews, deep focus on quality, and documentation Strong programming and algorithmic skills. Proficiency in a major programming language, e.g. Java, Go, C / C++, Python, etc Deep curiosity and enthusiasm for distributed systems and storage systems Strong focus on project delivery and communication skills Experience in driving operational excellence for large production services A strong sense of customer centricity, teamwork, technical leadership and mentorship and are excited about team and company success Preferred Skills Proven track record of delivering large-scale, highly available, high quality systems Hands-on technical expertise in large scale systems engineering or distributed systems On-call experience handling critical systems 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.
