188 jobs found

Job Description Job Description Join our Team as a Traveling Telecommunications Tower Technician Are you looking for a challenging and rewarding career in the telecommunications industry? Do you have a passion for working at great heights and a desire to expand your technical skills? If so, Capital Tower & Communications, Inc. is looking for individuals like you to join our team as a Traveling Telecommunications Tower Technician. About Us: Capital Tower & Communications, Inc. is a leading provider of telecommunications services in the USA. With over 30 years of experience, we specialize in tower installation, maintenance, and repair for a wide range of clients, including wireless carriers, government agencies, and private businesses. Our team of skilled technicians and engineers are dedicated to delivering high-quality solutions that meet the needs of our customers. At Capital Tower & Communications, Inc., we are committed to excellence in everything we do, from our customer service to our workmanship. Join us and be a part of a company that is shaping the future of telecommunications. What WE ask of YOU: Being a tower climber can be a very rewarding and worthwhile career, but it takes a unique skillset and even more of a unique personality. These are some physical and mental attributes that some of the most successful Tower Technicians have. You are physically able to climb to heights in excess of 300 feet daily You can work in all weather conditions year-round You have some construction and/or electrical experience You enjoy working with your hands You enjoy constant travel and willing to live life on the road 6-Week Travel rotations followed by a 7-10 day break. (Travel expenses covered) Job Responsibilities: Follow all safety rules and regulations Install/replace/repair antenna system equipment Distribute/pick-up/organize tools and materials Install/modify/mount & platform Identify/fix problems using test equipment Work with a team Perform tower structure inspection Climbing and working on communications towers for the purpose of installing, replacing, and repairing antenna systems equipment performs tower maintenance under close supervision. The basic use and care of hand tools and mechanical equipment. Distribute, pick up and organize tools and materials. Ability to read site plans and tower drawings. The hazards associated with tower climbing, construction equipment, and working on or near energized lines and equipment. Training/Certifications At Capital Tower provide the very best services to our customers, so we want our employees to have the ability to be the very best at what they do. Once hired, we provide all the training and online courses listed (at no expense to the employee). We give our employees the tools and services to grow within the company which includes: Competent Climber/Rescuer Competent Rigger OSHA 10 & OSHA 30 First Aid/AED/CPR RF Awareness Hazard Communications Bloodborne Pathogens Capstan Hoist/Base Mounted Hoist/Ginpole Principals Kaleus/Anritsu/Exfo Training At Capital Tower & Communications, Inc., we are committed to providing our employees with opportunities for growth and development in a supportive and collaborative work environment. We offer competitive benefits and training programs to help you succeed in your career. Join us in helping to connect communities and drive innovation in the telecommunications industry. Competitive Compensation Health Insurance (Starting the 1st of the month after a 60-day waiting period) Dental and Vision Insurance (company provides group plan, Employee pays 100%) Paid Time off (Vacation Pay is given after 1 year of employment) Overtime Pay Per diem $100/day $2000 Sign-on bonus (Paid out after 6 Months of continuous employment) Employee Referral Award Program The End of the year bonus Christmas Bonus Performance bonuses 100% Paid Travel Company provides safety equipment and training About Us: Capital Tower & Communications, Inc. is a leading provider of telecommunications services in the USA. With over 30 years of experience, we specialize in tower installation, maintenance, and repair for a wide range of clients, including wireless carriers, government agencies, and private businesses. Our team of skilled technicians and engineers are dedicated to delivering high-quality solutions that meet the needs of our customers. At Capital Tower & Communications, Inc., we are committed to excellence in everything we do, from our customer service to our workmanship. Join us and be a part of a company that is shaping the future of telecommunications.

Description: The Commercial Roofing General Manager will provide leadership to position the company at the forefront of the industry. Develop a strategic plan to advance the company's mission and objectives and to promote revenue, profitability and growth as an organization. The Commercial Roofing General Manager oversee company operations to insure production efficiency, quality, service, and cost-effective management of resources. This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. But, this job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position. Job Functions: Develop a strategic plan to advance the company's mission and objectives and to promote revenue, profitability, and growth as an organization. Oversee company operations to insure production efficiency, quality, service, and cost-effective management of resources. Plan, develop, and implement strategies for generating resources and/or revenues for the company. Approve company operational procedures, policies, and standards. Review activity reports and financial statements to determine progress and status in attaining objectives and revise objectives and plans in accordance with current conditions. Evaluate performance of executives for compliance with established policies and objectives of the company and contributions in attaining objectives. Serve as a representative of the company, displaying courtesy, tact, consideration, and discretion in all interaction. Contribute to a positive work environment and ensure a successful solution process. Meet with the Presidents to review the operations and performance of the company. Interface with the clients, negotiate contracts, and provide business development. Provide leadership to ensure goals are attained and the Company's principals are maintained. Requirements: Five years minimum of commercial roofing industry experience in management is a must with emphasis on all facets of the business including but not limited to customer relations, extensive knowledge of roofing materials, techniques and requirements. Bachelor Degree in Engineering, Construction Management or related field is preferred, but not required. Other critical skills include planning & organizing; team-building, problem identification/resolution, multi-tasking, follow-through skills to bring tasks to closure in a timely manner, priority setting, and having a sense of urgency in accomplishing tasks in a timely manner. Satisfactory computer skills - including Internet Explorer, Microsoft Outlook, Microsoft Excel, Microsoft Word, PowerPoint, and Internet. Superb communication skills Sound problem assessment and problem-solving skills Sound judgment and ability to make decisions Well organized; Adept at planning work and managing time Extreme attention to detail and high level of accuracy Strong Initiative Superior Integrity Adaptability Willingness to learn PIf75684e2f6-

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 5 (GenAI Platform, Agentic Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 5 (GenAI Platform, Agentic Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting complex AI systems Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience architecting and integrating heterogeneous AI systems - including rule-based, retrieval-augmented, and generative components - into unified production pipelines Experience defining and enforcing standards for ethical AI deployment, including explainability, fairness, and human-in-the-loop review processes Demonstrated ability to balance model performance and operational cost through dynamic inference strategies and model compression Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for AI Engineer 5 McLean, VA: $229,900 - $262,400 for AI Engineer 5 New York, NY: $250,800 - $286,200 for AI Engineer 5 San Francisco, CA: $250,800 - $286,200 for AI Engineer 5 San Jose, CA: $250,800 - $286,200 for AI Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada . click apply for full job details

AI Engineer 4 (AI Foundations, LLM Customization and Finetuning) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The AWS Migration Lead/Principal Cloud Architect leads client engagements in the design and build of scalable next-generation cloud architectures. DUTIES AND RESPONSIBILITIES: Lead the technical planning and delivery of client engagements for Migrations and Modernizations to AWS for Government and Defense Industrial Base (DIB) customers. Provide thought leadership around scalable next-generation cloud architecture experience and guidance to clients Lead cross-functional implementation teams to deliver cloud modernization solutions to clients Lead and provide technical coaching; including delivery oversight, to a growing team of cloud engineers Evaluate libraries, tools, and services for suitability Write Infrastructure as Code (IaC) in multiple frameworks to create independent, transferrable components at an appropriate level, taking into account different aspects of a stack and how to build stability and security into them. Help clients get work done smarter with automation and code Drive more complex projects and contribute to the detailed idea space effectively Learn, coach, and share knowledge and skills with other TrekFed team members Lead re-platforming and refactoring efforts for existing systems Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Be a technical team advocate, ensuring clear direction and efficient execution Perform code reviews, provide feedback, and pair when beneficial Keep an eye out for opportunities to support our clients in even greater ways Contribute to blog posts and attend events periodically, as asked Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned Requirements: REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 8 years of general IT experience (programming, hardware, software, etc); or 10 years of general IT experience (programming, hardware, software, etc) 3-5+ years of experience with Amazon Web Services 3+ years code-defined infrastructure experience 3+ years Continuous Integration and Deliver (CI/CD) experience 3+ years experience with Cloud Native patterns with services like AWS Lambda 3-5+ years experience architecting and building scalable, automated infrastructure Demonstrated experience working in a consultative, client-facing consulting role Have worked with Agile Project Management or other project management work methodologies. Must be a U.S. Citizen PREFERRED QUALIFICATIONS: AWS Associate and/or Professional Level Certifications 3-5+ years of programming and/or familiarity utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Expert experience in large-scale enterprise IT environments Able to demonstrate effective verbal and written communication skills Demonstrated documentation and presentation skills Previous or current experience with Federal / Government stakeholders, contractors, and solution providers Familiarity with newer ATO strategies such as Fast Track or Continuous ATO Willingness to apply for and obtain a U.S. Govt security clearance COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Persuasiveness: The ability to effectively present and argue one's own ideas and opinions, as well as influence others to adopt a certain viewpoint or take a specific action. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Leadership: The ability to guide and inspire a team to achieve a common goal. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Business development: The ability to identify and pursue new business opportunities, including the ability to generate leads, build relationships, and close deals. PHYSICAL AND MENTAL REQUIREMENTS: Continuous mental and/or visual attention required Requires the ability to remain stationary for long periods of time Regularly communicates to various people inside and outside of the organization Regular reading and analysis are required WORK AUTHORIZATION/SECURITY CLEARANCE REQUIREMENTS: Must be a US Citizen Able to obtain a Secret Security Clearance a plus

Job DescriptionJob DescriptionDescription: SUMMARY/OBJECTIVE OF THE JOB: The AWS Migration Lead/Principal Cloud Architect leads client engagements in the design and build of scalable next-generation cloud architectures. DUTIES AND RESPONSIBILITIES: Lead the technical planning and delivery of client engagements for Migrations and Modernizations to AWS for Government and Defense Industrial Base (DIB) customers. Provide thought leadership around scalable next-generation cloud architecture experience and guidance to clients Lead cross-functional implementation teams to deliver cloud modernization solutions to clients Lead and provide technical coaching; including delivery oversight, to a growing team of cloud engineers Evaluate libraries, tools, and services for suitability Write Infrastructure as Code (IaC) in multiple frameworks to create independent, transferrable components at an appropriate level, taking into account different aspects of a stack and how to build stability and security into them. Help clients get work done smarter with automation and code Drive more complex projects and contribute to the detailed idea space effectively Learn, coach, and share knowledge and skills with other TrekFed team members Lead re-platforming and refactoring efforts for existing systems Prepare work for team members of varying levels of experience, defining stories and task type work Contribute to internal IP and open source development Participate in delivery efforts using Agile or other work methodologies Build relationships with vendors and partners Engage with clients including presentations, technical decisions, and education opportunities Learn, research, and stay up to date on best practices and evolutionary capability in the Amazon Web Services (AWS) cloud Be a technical team advocate, ensuring clear direction and efficient execution Perform code reviews, provide feedback, and pair when beneficial Keep an eye out for opportunities to support our clients in even greater ways Contribute to blog posts and attend events periodically, as asked Occasional travel may be required to meet stakeholders, kick off new projects, attend conferences, and attend company functions. Other duties as assigned Requirements: REQUIRED QUALIFICATIONS: Bachelor's degree in Information Technology, Computer Science, or a related field and 8 years of general IT experience (programming, hardware, software, etc); or 10 years of general IT experience (programming, hardware, software, etc) 3-5+ years of experience with Amazon Web Services 3+ years code-defined infrastructure experience 3+ years Continuous Integration and Deliver (CI/CD) experience 3+ years experience with Cloud Native patterns with services like AWS Lambda 3-5+ years experience architecting and building scalable, automated infrastructure Demonstrated experience working in a consultative, client-facing consulting role Have worked with Agile Project Management or other project management work methodologies. Must be a U.S. Citizen PREFERRED QUALIFICATIONS: AWS Associate and/or Professional Level Certifications 3-5+ years of programming and/or familiarity utilizing Python, Node.js, Typescript, GoLang, Java, C#, or other similar languages Expert experience in large-scale enterprise IT environments Able to demonstrate effective verbal and written communication skills Demonstrated documentation and presentation skills Previous or current experience with Federal / Government stakeholders, contractors, and solution providers Familiarity with newer ATO strategies such as Fast Track or Continuous ATO Willingness to apply for and obtain a U.S. Govt security clearance COMPETENCIES: Communication: The ability to effectively convey information, ideas, and instructions to individuals or groups, both verbally and in writing. Time Management: The ability to effectively plan and organize one's own time in order to meet deadlines, prioritize tasks, and make the most efficient use of time. Self-Management: The ability to manage one's own emotions, thoughts, and behavior in different situations. Building Work Relationships: The ability to establish and maintain positive and productive relationships with colleagues, clients, and other stakeholders. Problem Analysis: The ability to identify, understand, and analyze problems in order to find solutions. Persuasiveness: The ability to effectively present and argue one's own ideas and opinions, as well as influence others to adopt a certain viewpoint or take a specific action. Technical expertise: The ability to understand, apply, and stay current with the knowledge, concepts, and practices in a specific field or industry. Leadership: The ability to guide and inspire a team to achieve a common goal. Planning: The ability to set goals, develop action plans, and effectively allocate resources in order to achieve desired outcomes. Business development: The ability to identify and pursue new business opportunities, including the ability to generate leads, build relationships, and close deals. PHYSICAL AND MENTAL REQUIREMENTS: Continuous mental and/or visual attention required Requires the ability to remain stationary for long periods of time Regularly communicates to various people inside and outside of the organization Regular reading and analysis are required WORK AUTHORIZATION/SECURITY CLEARANCE REQUIREMENTS: Must be a US Citizen Able to obtain a Secret Security Clearance a plus

Are you excited about the intersection of security, encryption and literally every internet connected device in the world? We're looking for a technical Product Manager to help define the next evolution of public-key infrastructure (PKI), helping our customers easily secure their websites, APIs and devices with digital certificates that just work. Our organization owns everything "certificates" for Amazon - from AWS Certificate Manager (ACM) for certificate management (TLS and other X.509 certs), to AWS Private Certificate Authority (PCA) for private certificate issuance and AWS Signer for code signing. Our services help customers create, manage, and deploy digital certificates based on strong cryptography and public key infrastructure (PKI) best practices. We are at a pivotal moment for the certificates space - Post Quantum requirements are around the corner, certificate usage has expanded to secure everything from IoT devices to AI agent workloads, and content signing is in huge demand to protect original work. The ACM team is looking for a strong technical Principal Product Manager with an interest in information security and identity can help define and drive the vision for our space as we continue to innovate and grow. As a Principal Product Manager for the Certificates organization you will: - Understand our customers inside and out - Invent on behalf of customers - Develop product strategy and vision and translate it into creative, high quality, simple features - Make the business decisions that grow the adoption and usage of our services and accelerate the growth of our overall security business - Set prices, target the right customers, and focus our investments in the right areas - Work closely with the engineering teams to design, schedule and deliver in an agile environment to deliver products to market - Launch new features and make sure our sales, marketing, and PR teams are telling the most compelling story The successful candidate will be a tenacious, ambitious, self-starter with a passion for secure cloud computing and who can serve as a strong advocate for our developer, corporate, and consumer customers. You will have proven analytical capabilities, strong persuasive writing skills, Internet business experience, and the tenacity to develop ideas independently and thrive in a fast-paced start-up environment. You must have a deep understanding of customer needs, the competitive landscape, be able to translate customer needs into features and pricing models, and to deliver an unparalleled customer experience. BASIC QUALIFICATIONS - 7+ years of working as a Technical Product Manager experience - 5+ years of technical (software development, network development, IT, other related) experience - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Do you have 2+ years of experience with public-key infrastructure (PKI) technologies? Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 181 000.00 USD annually

Req ID: 383115 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Principal Cloud Architect - AWS & Service Activation Hybrid Irving, TX or Charlotte, NC to join our team in Irving, Texas (US-TX), United States (US). Please Note: This hybrid role requires onsite client support 2-3 days weekly in either Irving, TX or Charlotte, NC. Candidates must be located within commuting distance of one of these offices. Applications from candidates outside these areas may not be considered. Position Summary We are seeking a Principal Cloud Engineer to architect design, build, and operate a secure, scalable, and highly automated multi-cloud platform leveraging Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. As a key technical leader, you will drive the evolution of our multi-cloud engineering, enabling resilient, cloud-native services that support mission-critical enterprise workloads. This role requires deep expertise in cloud architecture, infrastructure as code (IaC), and distributed systems engineering, with a strong focus on Terraform-driven automation and principal engineering standardization. The ideal candidate brings strong Kubernetes, IAM, networking, and policy management experience, along with a disciplined approach to security, reliability, and cost optimization. Key Responsibilities: Principal Engineering, Design & Architecture Architect, engineer, and implement scalable, secure, and resilient cloud solutions across GCP and AWS, with Azure as a plus. Engineer multi-region, highly available architectures aligned with enterprise standards and best practices. Infrastructure Automation & IaC Lead engineering, adoption, and development of Terraform-based infrastructure as code, ensuring consistency, compliance, and reusability. Build and maintain modular Terraform frameworks for provisioning cloud infrastructure. Integrate IaC into CI/CD pipelines to enable fully automated provisioning and deployment workflows. Containerization & Kubernetes Platforms Direct knowledge and engineering leveraging Kubernetes platforms (EKS, GKE) and associated ecosystems. Implementation of container orchestration best practices including scaling, observability, and security. Identity, Access & Security Governance Experienced working knowledge architecting and designing robust IAM strategies across GCP and AWS including least-privilege access models. Implement policy frameworks for access control, resource governance, and regulatory compliance. Networking & Connectivity Direct knowledge and experience architecting, designing, and engineering cloud networking solutions including VPC/VNet design, routing, peering, VPNs, and private connectivity. Ensure secure, high-performance connectivity between cloud environments and on-premises systems. Policy Management & Governance Deep understanding of policy management, policy-as-code frameworks to ensure consistent governance of resources, tagging strategies, and compliance controls. Collaboration with governance, policy, and security teams to ensure cloud environments meet enterprise and regulatory standards. Modernization & Mentorship Champion cloud-native and principal engineering engineering best practices across the organization. Drive the evolution of principal engineering practice by incorporating infrastructure-as-code (IaC) principles. Mentor junior engineers and provide technical leadership for complex cloud initiatives. Serve as an escalation point for critical cloud infrastructure and principal engineering issues. Ideal experience to have for this role: Cloud Platforms & Architecture Extensive firsthand experience with AWS and GCP in large-scale enterprise environments. Strong expertise in cloud architecture, including high availability, disaster recovery, and multi-region design. Deep understanding of cloud-native services and distributed systems principles. AWSControl tower and landing Zones. Infrastructure as Code & Automation Advanced proficiency in Terraform for infrastructure provisioning and lifecycle management. Experience designing reusable modules and managing Terraform state at scale. Familiarity with CI/CD tooling and Git-based workflows. Kubernetes & Container Platforms Strong experience with Kubernetes (EKS, GKE) and container ecosystems. Knowledge of Helm, service meshes, and container security best practices. Identity & Access Management (IAM) Deep understanding of IAM concepts in AWS and GCP, including roles, policies, and federation. Experience implementing RBAC and least-privilege access models at scale. Networking & Core Infrastructure Strong knowledge of cloud networking concepts: VPCs, subnets, routing, load balancing, DNS, and hybrid connectivity. Experience designing secure network architectures across multi-cloud and hybrid environments. Policy Management & Governance Direct experience with policy enforcement frameworks and governance models in AWS and GCP. Familiarity with policy-as-code tools and compliance automation practices. Required Qualifications: 8+ years of experience in cloud infrastructure, principal engineering, and/or cloud architecture roles. Hands-on expertise with AWS and GCP in enterprise environments, including high availability, disaster recovery, and multi-region architectures. Strong experience with Terraform, Infrastructure as Code (IaC), reusable modules, and automated CI/CD deployments. Proven experience designing and supporting Kubernetes platforms (EKS, GKE) and containerized environments. Deep knowledge of IAM, RBAC, least-privilege access models, and cloud security best practices. Strong understanding of cloud networking, including VPCs, routing, load balancing, DNS, VPNs, and hybrid connectivity. Experience implementing cloud governance, policy enforcement, compliance controls, and policy-as-code frameworks. Experience with AWS Control Tower and Landing Zone architectures. Highly Preferred Qualifications: 8-10+ years of experience engineering infrastructure in multi-cloud environments. Experience with cloud-native technologies and container platforms such as Kubernetes, Red Hat OpenShift, EKS, and GKE. Experience operating in highly regulated environments with knowledge of data privacy, compliance frameworks, and disaster recovery. Experience with principal engineering engineering, Internal Developer Platforms (IDPs), and self-service cloud models. Knowledge of FinOps practices and cloud cost optimization strategies. Experience with Azure and enterprise multi-cloud architectures. Familiarity with Helm, service meshes, and container security best practices. Relevant certifications such as AWS Certified Solutions Architect, Google Professional Cloud Architect, CKA, or CKAD. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the location of the successful candidate. For candidates in either of these locations, the starting pay range is $150,450k - $200k. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries . click apply for full job details

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the "12 Angry Seniors." Their mission continues to guide everything we do. Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults. Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity. At SCAN, we believe scale should strengthen-not dilute-our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve. The Job Design the foundation that makes intelligent systems scale for our enterprise. The AI & Cloud Architect defines and governs the architecture that powers SCAN's AI and automation capabilities, from model hosting and vector databases to API orchestration and MCP servers. This role bridges infrastructure and innovation, ensuring that every AI and cloud solution is built on secure, performant, and reusable patterns. The Architect brings a holistic view to enable experimentation while maintaining enterprise standards for reliability, governance, and compliance. You Will: Architectural Design & Strategy Define the end-to-end reference architecture for AI and data/storage systems across Azure AI Foundry, Azure AI Services, Azure AI Search, Azure Databricks/Fabric, and Snowflake. Design integration blueprints for RAG workflows, data pipelines, agentic frameworks, and our enterprise GPT solution. Establish standards for model deployment, versioning, prompt management, and telemetry within Azure AI Foundry. Infrastructure & Platform Enablement Build and maintain scalable cloud environments for model training, evaluation, and inference. Oversee vector database design (Azure AI Search or equivalent) and integration with Snowflake/Fabric data hubs. Implement high-availability, cost-optimized compute and storage strategies for AI workloads. Partner with IT Security to ensure alignment with HIPAA, Responsible AI, and internal compliance requirements. Orchestration & Automation Design pipelines and event-driven architectures using Azure Functions, Logic Apps, and API Management. Automate ingestion and evaluation processes for Document Intelligence, AI Search, and other Azure AI Services. Integrate monitoring, audit, and feedback loops to ensure operational transparency and continuous improvement. Governance & Collaboration Lead architecture reviews and guide solution teams to adhere to Responsible AI and data-management standards. Define metadata, lineage, and model registry conventions for consistent tracking and reuse. Collaborate with engineering, analytics, and business teams to align technical designs with strategic outcomes. Serve as a key contributor to the AI Architecture Review Board and cloud optimization initiatives. Innovation & Thought Leadership Evaluate emerging Azure and open-source technologies to extend SCAN's AI capabilities (e.g., Foundry SDKs, agent frameworks, vector databases, knowledge graphs). Prototype new integration patterns for multi-agent collaboration, knowledge management, and semantic data discovery. Coach engineers on architectural best practices and help shape the long-term technical roadmap. Your Qualifications: Deep Expertise in Azure Ecosystem Proficiency in Azure AI Foundry, Azure AI Services (Language, Vision, Speech, Content Understanding), Azure AI Search, Azure ML, Databricks, and Fabric. Familiarity with model registries, MLOps, and deployment frameworks (CI/CD, containers, APIs). Architectural Design & Integration Proven ability to design scalable, secure, and modular cloud architectures for AI and data workloads. Strong understanding of network design, IAM, data governance, and enterprise integration patterns. AI Engineering Foundations Knowledge of LLM architectures, retrieval-augmented generation, embedding pipelines, and evaluation frameworks. Experience enabling RAG and multi-agent applications through Azure AI Foundry and related SDKs. Data & Metadata Strategy Understanding of data modeling, knowledge graphs, and semantic search design. Ability to define data contracts, metadata taxonomies, and lineage tracking for AI solutions. Responsible AI & Compliance Mindset Demonstrated commitment to secure, auditable, and explainable AI design. Familiarity with healthcare data standards (HIPAA, CMS, PHI/PII protection) and SCAN's Responsible AI framework. Collaboration & Leadership Adept at influencing cross-functional stakeholders and translating architecture into actionable guidance. Comfortable working in a fast-evolving environment balancing experimentation with operational rigor. Strong written and verbal communication skills for technical and executive audiences. We seek Rebels who are curious about AI and its power to transform how we operate and serve our members. Actively support the achievement of SCAN's Vision and Goals. Other duties as assigned. What's in it for you? Base Pay Range: $200,000 to $260,000 annually An annual employee bonus program Robust Wellness Program Generous paid-time-off (PTO) 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days Excellent 401(k) Retirement Saving Plan with employer match Robust employee recognition program Tuition reimbursement An opportunity to become part of a team that makes a difference to our members and our community every day! We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now! At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Principal Network Engineer, you will work cross-functionally to plan the growth of Roblox's global production network to support rapid user growth. In this role, you are responsible for Engineering and Architecture of Roblox Backbone and Edge Network. You will ensure that we are making the right investments with our global expansion to provide a great experience for all our users worldwide. We run services and a hosting platform with some unique complexities, so this role is an opportunity for the experienced network engineer to take on new challenges in addition to applying their existing expertise. You Will: Serve as a Principle Engineer for Roblox's Backbone Network. Drive future design, deployment, and operations for Roblox's large-scale Network Infrastructure. Engage in design, qualification, and validation of new technologies, and ensure new technologies are deployable at scale and are safely operable. Collaborate with the Network Tooling Team to automate workflows and improve telemetry, observability, and alerting. Work with net tools to automate existing workflows and improve our telemetry and alerting framework. Participate in on-call rotation to support the global network infrastructure 24x7. You Have: 8+ years of work experience responsible for designing, deploying and operating large-scale networks. 5+ years of work experience designing and managing large scale Backbone and Edge Networks Experience configuring and troubleshooting routing and switching protocols (BGP, IS-IS, MPLS, RSVP-TE,). Working knowledge of network protocols (TCP/UDP, DHCP, DNS) and experience with IPv4 and IPv6. Experience working in a multi-vendor environment with hands-on experience with networking hardware. Experience in at least one programming language like Python, Go, C/C++ is a plus. A track record of successful collaboration with multidisciplinary teams. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $295,250-$345,040 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

Overview: Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit . Job Description Summary: The Principal Embedded Software Engineer develops high performance solutions for resource constrained targets. Develops next-generation resilient and fault tolerant software solutions in the application domains of undersea, terrestrial, air, hypersonics and space. The Engineer is involved in the full software development life cycle. Job Description: Duties/Responsibilities • Evaluates requirements, proposes solutions, explores design trades to support a design. • Designs algorithms using modern theory and proven techniques. • Develops embedded software based on prototype algorithms with supervision. • Analyzes designs to demonstrate performance and functionality. • Develops and executes software tests to check compliance with requirements. • Evaluates results to establish problem causes and develop solutions for inefficient or problems. • Prepares technical data, procedures, reports, drawings, manuals, and other required documentation. • Drive solutions to complex problems with limited direction - contribute to requirements development and architecture solution ideation. • Responsibility for subset of engineering scope. • Identifies program/system-level technical risks and develop and execute mitigation strategies. • Actively mentor less experienced engineers. • Performs other duties as assigned. Skills/Abilities • Excellent development and troubleshooting skills on embedded targets. • Excellent knowledge of OS coding techniques IP protocols interfaces and hardware subsystems. • Expertise in software development for real-time systems. • Mastery of high level development languages (e.g. C/C++, Rust) • Excellent organizational skills and attention to detail. • Strong analytical and problem-solving skills. • Knowledge of software configuration management tools defect tracking tools and peer review processes. • Excellent time management skills with the proven ability to meet deadlines. • Excellent verbal and written communications skills. • Experience with UML/SysML. • Experience with in-circuit emulators, JTAG debuggers and laboratory test equipment. Education Requires a bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering. Experience Requires 10-15 years experience in Software Engineering or related. Additional Job Description: Applicants selected for this position will be required to obtain and maintain a government security clearance. Secret clearance is preferred. Connect With Draper for Future Opportunities! If you don't find the right posting in our Career Opportunities, you may submit your resume for future consideration. Job Location - City: Cambridge Job Location - State: Massachusetts Job Location - Postal Code: The US base salary range for this full-time position is $75,000.00 - $275,000.00 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement's approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits. Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact .

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role You will be the technical leader for Digital Identity at SoFi under the Sofi Technology Solution Group: the platform group that powers identity, authorization, and entitlements for every product and every member across the company. Digital Identity runs Tier-0 infrastructure: the highest criticality rating at SoFi. Every product line, banking, lending, investing, credit cards, crypto depends on these platforms to know who a member is, what they're entitled to, and what they're authorized to do. When these platforms are down, SoFi is down. You'll define the technical strategy for this group. You'll architect solutions for complex, ambiguous problems: multi-person access patterns, cross-organizational platform convergence, and data integrity at financial-services scale. You'll build the engineering processes and culture that let a lean team operate Tier-0 infrastructure with confidence. And you'll push the boundaries of how we build, leveraging AI to accelerate development, prototype faster, and experiment with approaches that would have been impractical two years ago. What You'll Own Platform Technical Strategy Digital Identity operates multiple Tier-0 platforms spanning identity resolution, entitlement management, and fine-grained authorization. You own the technical strategy across all of them: setting the architectural direction, executing and leading designs, and ensuring the platforms evolve as a coherent system rather than independent services. Complex Authorization Architecture SoFi is expanding into scenarios where multiple people interact with shared financial resources: across business, family, and custodial contexts. You'll design the unified platform architecture that handles these patterns at scale: consistent access models, compliance-grade audit trails, and enforcement of regulatory requirements. This is one platform problem with many product surfaces. Cross-Organization Platform Convergence SoFi operates and integrates with multiple technology organizations with overlapping identity and authorization infrastructure. You'll lead the architectural vision for convergence: a shared platform primitives that multiple organizations consume while preserving the flexibility each product line needs. This requires navigating competing priorities, different technical stacks, and organizational boundaries. Operational Excellence & Data Integrity Tier-0 financial platforms demand more than uptime. You'll architect the verification and reconciliation systems that prove these platforms are correct: automated integrity checks, drift detection, and self-healing mechanisms. You'll establish the operational processes, incident response standards, and reliability practices that let the team ship with confidence and sleep at night. Engineering Culture & Team Uplift You'll raise the bar for how this team builds software. That means establishing rigorous design review processes, defining engineering standards that compound over time, mentoring senior ICs into technical leaders, and creating the feedback loops that turn incidents into prevention. You're not just the best engineer on the team: you're the reason the whole team gets better. Strategic Investment Identification You won't just execute on the roadmap handed to you. You'll identify the next set of high-leverage technical investments: where the platforms should go, what capabilities are missing, which emerging patterns (in authorization, in AI, in infrastructure) should be adopted before the business asks for them. What We're Looking For Required: Distributed systems architecture at scale. You've designed and shipped platforms that other engineering teams depend on: not just consumed services, but built them. You understand the failure modes of event-driven systems, eventual consistency, and cross-service data integrity. You've made hard tradeoffs between consistency, availability, and latency in production. Technical leadership with accountability built in. You don't just design systems: you design systems that prove they're correct. Reconciliation mechanisms, audit trails, integrity guarantees, automated verification. You've built infrastructure where "trust but verify" is architecture, not process. AI fluency and innovation. You actively use AI to build, prototype, and experiment. You've integrated AI-assisted development into your workflow and can articulate where it accelerates engineering and where it introduces risk. You push teams to adopt AI-native approaches to development not as a novelty, but as a competitive advantage in velocity and experimentation. Group-level influence and execution. You've driven technical strategy across multiple teams. You've navigated ambiguity where business goals were clear but the right technical problems to solve were not. You've represented your organization's technical direction to peer groups and senior / executive leadership. Engineering culture builder. You've established processes, standards, and practices that made entire teams more effective and not just shipped features yourself. You care about design review rigor, operational readiness, on-call excellence, and mentoring senior engineers into technical leaders. Ownership of outcomes, not just systems. You measure your work by what it enabled such as products shipped, risks eliminated, teams unblocked and not by the complexity of what you built. Preferred: Experience building identity & authorization platforms especially in multi-tenant or consumer-facing contexts. Familiarity with relationship-based access control models, fine-grained authorization systems, or identity federation infrastructure. Experience in financial services or regulated industries where compliance, audit trails, and data integrity are architectural requirements, not afterthoughts. Track record of platform convergence: merging or unifying infrastructure across acquisitions, subsidiaries, or organizations with different technical stacks. What This Isn't: This is not a role for someone who wants to write code in a corner. You'll spend significant time on architecture, cross-team alignment, design reviews, and mentorship. You will write code and drive credibility with your depth but the highest-leverage output is the technical direction you set, the engineering culture you build, and the engineers you develop. Why This Role? Scope. Digital Identity is horizontal infrastructure. Every product at SoFi depends on your platforms. A design decision you make affects millions of members. Hard problems. Multi-person financial authorization, cross-org platform convergence, data integrity at Tier-0 scale. These aren't optimizations: they're greenfield architecture for a company-wide platform. Visibility. Tier-0 means executives know when you ship and when you don't. Impact is not abstract here. Build + Lead. Deep distributed systems work and Group-level technical leadership. You'll build both muscles, every week. You'll architect systems and build the team's engineering culture in equal measure. AI-forward engineering. We're not waiting for the industry to figure out how AI changes platform engineering. You'll help define that for Digital Identity, using AI to move faster, experiment more, and build systems that would have been impractical with traditional approaches alone. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities . click apply for full job details

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role You will be the technical leader for Digital Identity at SoFi under the Sofi Technology Solution Group: the platform group that powers identity, authorization, and entitlements for every product and every member across the company. Digital Identity runs Tier-0 infrastructure: the highest criticality rating at SoFi. Every product line, banking, lending, investing, credit cards, crypto depends on these platforms to know who a member is, what they're entitled to, and what they're authorized to do. When these platforms are down, SoFi is down. You'll define the technical strategy for this group. You'll architect solutions for complex, ambiguous problems: multi-person access patterns, cross-organizational platform convergence, and data integrity at financial-services scale. You'll build the engineering processes and culture that let a lean team operate Tier-0 infrastructure with confidence. And you'll push the boundaries of how we build, leveraging AI to accelerate development, prototype faster, and experiment with approaches that would have been impractical two years ago. What You'll Own Platform Technical Strategy Digital Identity operates multiple Tier-0 platforms spanning identity resolution, entitlement management, and fine-grained authorization. You own the technical strategy across all of them: setting the architectural direction, executing and leading designs, and ensuring the platforms evolve as a coherent system rather than independent services. Complex Authorization Architecture SoFi is expanding into scenarios where multiple people interact with shared financial resources: across business, family, and custodial contexts. You'll design the unified platform architecture that handles these patterns at scale: consistent access models, compliance-grade audit trails, and enforcement of regulatory requirements. This is one platform problem with many product surfaces. Cross-Organization Platform Convergence SoFi operates and integrates with multiple technology organizations with overlapping identity and authorization infrastructure. You'll lead the architectural vision for convergence: a shared platform primitives that multiple organizations consume while preserving the flexibility each product line needs. This requires navigating competing priorities, different technical stacks, and organizational boundaries. Operational Excellence & Data Integrity Tier-0 financial platforms demand more than uptime. You'll architect the verification and reconciliation systems that prove these platforms are correct: automated integrity checks, drift detection, and self-healing mechanisms. You'll establish the operational processes, incident response standards, and reliability practices that let the team ship with confidence and sleep at night. Engineering Culture & Team Uplift You'll raise the bar for how this team builds software. That means establishing rigorous design review processes, defining engineering standards that compound over time, mentoring senior ICs into technical leaders, and creating the feedback loops that turn incidents into prevention. You're not just the best engineer on the team: you're the reason the whole team gets better. Strategic Investment Identification You won't just execute on the roadmap handed to you. You'll identify the next set of high-leverage technical investments: where the platforms should go, what capabilities are missing, which emerging patterns (in authorization, in AI, in infrastructure) should be adopted before the business asks for them. What We're Looking For Required: Distributed systems architecture at scale. You've designed and shipped platforms that other engineering teams depend on: not just consumed services, but built them. You understand the failure modes of event-driven systems, eventual consistency, and cross-service data integrity. You've made hard tradeoffs between consistency, availability, and latency in production. Technical leadership with accountability built in. You don't just design systems: you design systems that prove they're correct. Reconciliation mechanisms, audit trails, integrity guarantees, automated verification. You've built infrastructure where "trust but verify" is architecture, not process. AI fluency and innovation. You actively use AI to build, prototype, and experiment. You've integrated AI-assisted development into your workflow and can articulate where it accelerates engineering and where it introduces risk. You push teams to adopt AI-native approaches to development not as a novelty, but as a competitive advantage in velocity and experimentation. Group-level influence and execution. You've driven technical strategy across multiple teams. You've navigated ambiguity where business goals were clear but the right technical problems to solve were not. You've represented your organization's technical direction to peer groups and senior / executive leadership. Engineering culture builder. You've established processes, standards, and practices that made entire teams more effective and not just shipped features yourself. You care about design review rigor, operational readiness, on-call excellence, and mentoring senior engineers into technical leaders. Ownership of outcomes, not just systems. You measure your work by what it enabled such as products shipped, risks eliminated, teams unblocked and not by the complexity of what you built. Preferred: Experience building identity & authorization platforms especially in multi-tenant or consumer-facing contexts. Familiarity with relationship-based access control models, fine-grained authorization systems, or identity federation infrastructure. Experience in financial services or regulated industries where compliance, audit trails, and data integrity are architectural requirements, not afterthoughts. Track record of platform convergence: merging or unifying infrastructure across acquisitions, subsidiaries, or organizations with different technical stacks. What This Isn't: This is not a role for someone who wants to write code in a corner. You'll spend significant time on architecture, cross-team alignment, design reviews, and mentorship. You will write code and drive credibility with your depth but the highest-leverage output is the technical direction you set, the engineering culture you build, and the engineers you develop. Why This Role? Scope. Digital Identity is horizontal infrastructure. Every product at SoFi depends on your platforms. A design decision you make affects millions of members. Hard problems. Multi-person financial authorization, cross-org platform convergence, data integrity at Tier-0 scale. These aren't optimizations: they're greenfield architecture for a company-wide platform. Visibility. Tier-0 means executives know when you ship and when you don't. Impact is not abstract here. Build + Lead. Deep distributed systems work and Group-level technical leadership. You'll build both muscles, every week. You'll architect systems and build the team's engineering culture in equal measure. AI-forward engineering. We're not waiting for the industry to figure out how AI changes platform engineering. You'll help define that for Digital Identity, using AI to move faster, experiment more, and build systems that would have been impractical with traditional approaches alone. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities . click apply for full job details