Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Nov. 30, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See BOEING Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
11/14/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Nov. 30, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by SonicJobs (an advertiser on JobG8). By applying, you consent to share your data with SonicJobs and the employer. JobG8 or SonicJobs does not store or use your application data beyond facilitating the application. See BOEING Privacy Policy at and SonicJobs Privacy Policy at and Terms of Use at
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Nov. 30, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/14/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. The Boeing Company has an exciting opportunity for a Senior Software Engineer Mission Systems Software Developer (Level 5) to join Boeing Defense, Space & Security (BDS) in Daytona Beach, Florida. BDS is a global leader in the development, production, maintenance and enhancement of fixed-wing and rotary wing aircraft, commercial and government satellites, human spaceflight programs and weapons. Key markets include aeronautics, space and weapons. Core capabilities are in development, production and mission enabling upgrades of integrated solutions. BDS delivers the most digitally advanced, simply and efficiently produced and intelligently supported solutions to its customers. Daytona Beach is the company's newest state-of-the-art facility focused on engineering excellence. Florida offers no state income tax and a variety of other desirable personal and financial benefits. This position will include developing software and software tests throughout all phases of the software development life cycle (requirements, architecture, implementation, and verification). The software engineer will develop software in a Continuous Integration / Continuous Deployment (CI/CD) DevSecOps software build pipeline using an agile methodology focused on code quality, security and automation. Position Responsibilities: Develop Participates in use case development of software requirements Ability to lead activities to develop, document and maintain software architecture, requirements, algorithms, interfaces and designs for mission systems software Leads development of code and integration of complex Mission Systems software components into a fully functional software system Provides technical leadership for software projects and leads less experienced software engineers Acts as an independent set of eyes and ears for Program Managers and the customer, highlighting potential best practices on the team, as well as areas for improvement Actively participates in program activities, from initial proposal and planning to delivery Supports the identification and analysis of program/project software quality metrics to improve software quality and manage risk Basic Qualifications (Required Skills/ Experience): Bachelor's Degree Ability to acquire a U.S. Secret Security Clearance (Post-Start) 10 years of experience with full life-cycle software development, modeling, simulation, testing, and/or analysis using C, C++, C#, Python, Java, Ada, and/or Linux 10 years of experience with version control systems such as Git, ClearCase, or Subversion Preferred Qualifications (Desired Skills/Experience): 14 or more years' related work experience or an equivalent combination of technical education and experience or non-US equivalent qualifications Bachelor of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science or other technical degree Strong decision-making skills and the ability to work independently but also lead and guide smaller teams of less experienced software engineers. Team leadership experience Software development experience in a collaborative team environment using agile principles and a structured development process including code reviews and automated DevOps processes/tools Experience using team collaboration tools including Git, Bitbucket, JIRA, and Confluence Experience in software development using languages such as C, C++, Java, Ada, and/or Python Experience working on an Agile team in a collaborative environment Travel: May be required up to 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. CodeVue Coding Challenge: To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $184,450 - $249,550 Applications for this position will be accepted until Nov. 30, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation Relocation assistance is not a negotiable benefit for this position. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The Associate Director, AI Foundations Engineering will lead the engineering strategy, design, development, deployment, and ongoing optimization of our agentic AI platform and solutions. This role is responsible for building scalable, secure, and reliable AI-driven systems that transform existing products, processes, and workflows into intelligent, agentic AI experiences. As a key technical leader, the Associate Director will partner closely with product, data, architecture, security, and business teams to define platform capabilities, drive implementation excellence, and operationalize continuous improvement across the AI lifecycle. The ideal candidate brings deep expertise in AI engineering, platform architecture, and production operations, along with a strong track record of translating emerging AI capabilities into practical, high-impact business solutions. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager. There are 3 positions available. About the Role Key Responsibilities: Lead the architecture, design, and engineering delivery of the organization's agentic AI platform and related solutions. Drive the transformation of existing products, processes, and workflows into scalable agentic AI-enabled capabilities. Oversee end-to-end AI engineering operations, including development, deployment, monitoring, reliability, and continuous improvement. Partner with cross-functional stakeholders to define technical roadmaps, platform standards, and solution priorities aligned to business goals. Establish engineering best practices for AI system performance, scalability, security, governance, and maintainability. Guide the evaluation, integration, and optimization of AI models, orchestration frameworks, and supporting platform components. Build, mentor, and lead high-performing engineering teams while fostering innovation, accountability, and technical excellence. Identify opportunities to accelerate value delivery through reusable AI services, automation, and operational efficiencies. Essential Requirements: Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience. An advanced degree is a plus but not required. 5+ years of professional software engineering experience, including at least 1-2 years building applications on large language models, with at least one agentic system deployed beyond a demo. Hands-on experience building AI agents on AWS. This includes Amazon Bedrock (models, Agents, Knowledge Bases, Guardrails) and Bedrock AgentCore or comparable approaches for agent runtime, memory, tool access, and identity. Proficiency with at least one agent framework, such as Strands Agents, LangGraph, LlamaIndex, CrewAI, or a custom orchestration layer. You should be able to explain when a simple workflow beats a multi-agent design. Strong Python skills plus experience with AWS services commonly used in agent architectures: Lambda, Step Functions, ECS/EKS, API Gateway, DynamoDB, S3, and IAM. Experience with retrieval-augmented generation (RAG), including chunking strategies, embeddings, vector stores (OpenSearch, pgvector, or similar), and improving retrieval quality. Experience designing tool use and function calling so agents can connect to APIs, databases, and enterprise systems. Familiarity with Model Context Protocol (MCP) is preferred. A practical approach to evaluation and observability: test sets for agent behavior, LLM-as-judge or human review loops, tracing (CloudWatch, OpenTelemetry, LangSmith, or similar), and monitoring cost and latency. Ability to take an ambiguous business problem to a working prototype quickly, then harden it for real users with security, guardrails, error handling, and CI/CD using CDK or Terraform. Clear communication of technical tradeoffs to product and business partners, and comfort working in a small, fast-moving team. Novartis Compensation Summary: The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
11/14/2026
Full time
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary The Associate Director, AI Foundations Engineering will lead the engineering strategy, design, development, deployment, and ongoing optimization of our agentic AI platform and solutions. This role is responsible for building scalable, secure, and reliable AI-driven systems that transform existing products, processes, and workflows into intelligent, agentic AI experiences. As a key technical leader, the Associate Director will partner closely with product, data, architecture, security, and business teams to define platform capabilities, drive implementation excellence, and operationalize continuous improvement across the AI lifecycle. The ideal candidate brings deep expertise in AI engineering, platform architecture, and production operations, along with a strong track record of translating emerging AI capabilities into practical, high-impact business solutions. This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the Hiring Manager. There are 3 positions available. About the Role Key Responsibilities: Lead the architecture, design, and engineering delivery of the organization's agentic AI platform and related solutions. Drive the transformation of existing products, processes, and workflows into scalable agentic AI-enabled capabilities. Oversee end-to-end AI engineering operations, including development, deployment, monitoring, reliability, and continuous improvement. Partner with cross-functional stakeholders to define technical roadmaps, platform standards, and solution priorities aligned to business goals. Establish engineering best practices for AI system performance, scalability, security, governance, and maintainability. Guide the evaluation, integration, and optimization of AI models, orchestration frameworks, and supporting platform components. Build, mentor, and lead high-performing engineering teams while fostering innovation, accountability, and technical excellence. Identify opportunities to accelerate value delivery through reusable AI services, automation, and operational efficiencies. Essential Requirements: Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience. An advanced degree is a plus but not required. 5+ years of professional software engineering experience, including at least 1-2 years building applications on large language models, with at least one agentic system deployed beyond a demo. Hands-on experience building AI agents on AWS. This includes Amazon Bedrock (models, Agents, Knowledge Bases, Guardrails) and Bedrock AgentCore or comparable approaches for agent runtime, memory, tool access, and identity. Proficiency with at least one agent framework, such as Strands Agents, LangGraph, LlamaIndex, CrewAI, or a custom orchestration layer. You should be able to explain when a simple workflow beats a multi-agent design. Strong Python skills plus experience with AWS services commonly used in agent architectures: Lambda, Step Functions, ECS/EKS, API Gateway, DynamoDB, S3, and IAM. Experience with retrieval-augmented generation (RAG), including chunking strategies, embeddings, vector stores (OpenSearch, pgvector, or similar), and improving retrieval quality. Experience designing tool use and function calling so agents can connect to APIs, databases, and enterprise systems. Familiarity with Model Context Protocol (MCP) is preferred. A practical approach to evaluation and observability: test sets for agent behavior, LLM-as-judge or human review loops, tracing (CloudWatch, OpenTelemetry, LangSmith, or similar), and monitoring cost and latency. Ability to take an ambiguous business problem to a working prototype quickly, then harden it for real users with security, guardrails, error handling, and CI/CD using CDK or Terraform. Clear communication of technical tradeoffs to product and business partners, and comfort working in a small, fast-moving team. Novartis Compensation Summary: The salary for this position is expected to range between $145,600 and $270,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Date Posted: 2026-09-14 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Support engineering activities related to testing and troubleshooting of hardware and software Functional analysis of real world and test data; trade studies to bring advanced features to fielded system Support troubleshooting and failure data analyses, including root cause and corrective action processes and advanced use of lab or field test equipment System integration and test support, possibly including live fire test events Complete and compile detailed performance evaluations, including the use of analysis tools, such as MATLAB Support qualification of our products Sustainment/Depot returns and repair Maintain engineering specifications (DS, ARD, etc.) & drawing (Schematics & Assembly Drawings) Prepare and present results in reports and briefings to internal or external stakeholders Maintain engineering databases Participate in periodic team meetings, interface teleconference meetings, working group meetings Collaborate with cross-product teams including Chief Engineers, Program Directors and Program Managers Applying advanced logistics principles to develop complex program level concepts and plans Occasional Domestic and International Travel May Be Required. This job is posted as ONSITE, and is based at Raytheon's Tewksbury, MA facility. What You Will Learn After completion of comprehensive on-the-job training, the candidate will be a part of a team supporting Systems Engineering, Systems Integration & Test activities across the product development life cycle. Qualifications You Must Have Bachelor's degree in Electrical Engineering, Computer Engineering or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date. Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Experience with various areas of the Technical Data Package (drawings, parts lists, and electrical schematics) and experience generating/interpreting Parts List Experience reviewing and understanding system drawings Experience in understanding a generation breakdown Experience with Microsoft Office applications including Microsoft Excel and PowerPoint Supply chain familiarity Experience with or exposure to various military platforms such as ships, ground combat systems, fixed and rotary wing aircraft Experience working in a project management environment Strong interpersonal and communication skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 57,200 USD - 108,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-09-14 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Support engineering activities related to testing and troubleshooting of hardware and software Functional analysis of real world and test data; trade studies to bring advanced features to fielded system Support troubleshooting and failure data analyses, including root cause and corrective action processes and advanced use of lab or field test equipment System integration and test support, possibly including live fire test events Complete and compile detailed performance evaluations, including the use of analysis tools, such as MATLAB Support qualification of our products Sustainment/Depot returns and repair Maintain engineering specifications (DS, ARD, etc.) & drawing (Schematics & Assembly Drawings) Prepare and present results in reports and briefings to internal or external stakeholders Maintain engineering databases Participate in periodic team meetings, interface teleconference meetings, working group meetings Collaborate with cross-product teams including Chief Engineers, Program Directors and Program Managers Applying advanced logistics principles to develop complex program level concepts and plans Occasional Domestic and International Travel May Be Required. This job is posted as ONSITE, and is based at Raytheon's Tewksbury, MA facility. What You Will Learn After completion of comprehensive on-the-job training, the candidate will be a part of a team supporting Systems Engineering, Systems Integration & Test activities across the product development life cycle. Qualifications You Must Have Bachelor's degree in Electrical Engineering, Computer Engineering or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date. Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Experience with various areas of the Technical Data Package (drawings, parts lists, and electrical schematics) and experience generating/interpreting Parts List Experience reviewing and understanding system drawings Experience in understanding a generation breakdown Experience with Microsoft Office applications including Microsoft Excel and PowerPoint Supply chain familiarity Experience with or exposure to various military platforms such as ships, ground combat systems, fixed and rotary wing aircraft Experience working in a project management environment Strong interpersonal and communication skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 57,200 USD - 108,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Amazon Web Services (AWS) is seeking an exceptional individual to join the AMER Central Commissioning Team as a Commissioning Coordinator (CxC). The CxC reports directly to the Regional Manager and provides administrative project support, leads strategic initiatives, and drives process improvement for the Commissioning Engineers (CxEs) and Commissioning Managers across the organization. We thrive on operational efficiency and always insist on the highest standards. In this role, you will be responsible for facilitating program coordination for the AMER Central Commissioning team. You will be involved in the full life cycle of construction/commissioning projects within your assigned region, including activity from the start of the construction project through project execution and close out. You will work with highly-motivated experts from Engineering, Design, Construction, Procurement, Finance, and Legal to complete key deliverables required to build AWS data centers. You will coordinate with AMER CxC's from other regions to maintain consistency across the program. The successful candidate will be a strong communicator (both written and verbal), not be hindered by ambiguity or competing priorities, and have a basic understanding of data center construction, and a drive to learn and be curious. They will be detailed oriented and apply a variety of program coordination tools, methodologies, and techniques that support quick and efficient purchasing across all commissioning project types. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Managing and tracking Requests for Quotes (RFQs) - Facilitating Work Order (WO) and Change Order (CO) requests - Submitting Purchase Requests (PRs), as needed - Track Purchase Order (PO) status - Deep dive invoicing issues - Maintaining and tracking the status of contracts, budgets, and spend - Implementing and maintaining reports and dashboards - Collaborating with Procurement and external commissioning vendors to deliver operational excellence initiatives - Writing and maintaining internal and external training material and standard operating procedures (SOPs) A day in the life Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States) About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 2+ years of program or project management experience - 3+ years of maintenance planner/scheduler in industrial maintenance, manufacturing, or distribution industries experience - 3+ years of advanced Microsoft Word and Excel experience - Bachelor's degree in relevant field, or 2+ years of Amazon RME (BB/3P) full time experience - 2+ years of construction or project management, or 2+ years of vendor management experience - 4+ years of professional work experience, or experience in MS Office, with an emphasis on Excel - Bachelor degree in Construction Management, Cost Controls, Accounting, or applicable degree; experience can be substituted for degree PREFERRED QUALIFICATIONS - Knowledge of Lean principles and DMAIC methodology - Experience in requirement gathering and ability to write clear and detailed requirement document - Experience using Microsoft Projects software - Experience with material handling systems (MHS) installation, operation and maintenance - Experience working in an analytical environment with cross-functional teams - Experience working independently and collaborating effectively in a remote team environment - Experience leading prioritization of tasks, team scheduling, time management, and meeting deadlines - Experience leading process improvements - Experience working in Procore - Demonstrated ability to interpret contract terms, conditions, and exhibits as applicable to project requirements 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, OH, COLUMBUS - 55,600.00 - 97,400.00 USD annually
11/13/2026
Full time
Amazon Web Services (AWS) is seeking an exceptional individual to join the AMER Central Commissioning Team as a Commissioning Coordinator (CxC). The CxC reports directly to the Regional Manager and provides administrative project support, leads strategic initiatives, and drives process improvement for the Commissioning Engineers (CxEs) and Commissioning Managers across the organization. We thrive on operational efficiency and always insist on the highest standards. In this role, you will be responsible for facilitating program coordination for the AMER Central Commissioning team. You will be involved in the full life cycle of construction/commissioning projects within your assigned region, including activity from the start of the construction project through project execution and close out. You will work with highly-motivated experts from Engineering, Design, Construction, Procurement, Finance, and Legal to complete key deliverables required to build AWS data centers. You will coordinate with AMER CxC's from other regions to maintain consistency across the program. The successful candidate will be a strong communicator (both written and verbal), not be hindered by ambiguity or competing priorities, and have a basic understanding of data center construction, and a drive to learn and be curious. They will be detailed oriented and apply a variety of program coordination tools, methodologies, and techniques that support quick and efficient purchasing across all commissioning project types. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Key job responsibilities - Managing and tracking Requests for Quotes (RFQs) - Facilitating Work Order (WO) and Change Order (CO) requests - Submitting Purchase Requests (PRs), as needed - Track Purchase Order (PO) status - Deep dive invoicing issues - Maintaining and tracking the status of contracts, budgets, and spend - Implementing and maintaining reports and dashboards - Collaborating with Procurement and external commissioning vendors to deliver operational excellence initiatives - Writing and maintaining internal and external training material and standard operating procedures (SOPs) A day in the life Effective May 15, 2017, logical access to the AWS GovCloud region will be restricted to Amazon employees who are U.S. Citizens. (GovCloud may NOT be accessed from outside of the United States) About the team Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 2+ years of program or project management experience - 3+ years of maintenance planner/scheduler in industrial maintenance, manufacturing, or distribution industries experience - 3+ years of advanced Microsoft Word and Excel experience - Bachelor's degree in relevant field, or 2+ years of Amazon RME (BB/3P) full time experience - 2+ years of construction or project management, or 2+ years of vendor management experience - 4+ years of professional work experience, or experience in MS Office, with an emphasis on Excel - Bachelor degree in Construction Management, Cost Controls, Accounting, or applicable degree; experience can be substituted for degree PREFERRED QUALIFICATIONS - Knowledge of Lean principles and DMAIC methodology - Experience in requirement gathering and ability to write clear and detailed requirement document - Experience using Microsoft Projects software - Experience with material handling systems (MHS) installation, operation and maintenance - Experience working in an analytical environment with cross-functional teams - Experience working independently and collaborating effectively in a remote team environment - Experience leading prioritization of tasks, team scheduling, time management, and meeting deadlines - Experience leading process improvements - Experience working in Procore - Demonstrated ability to interpret contract terms, conditions, and exhibits as applicable to project requirements 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, OH, COLUMBUS - 55,600.00 - 97,400.00 USD annually
Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
11/13/2026
Full time
Senior Full Stack Developer (Java, Spring Boot, React & GCP) Overview / Summary We are seeking an experienced Senior Full Stack Developer with strong expertise in Java, Spring Boot, React, and Google Cloud Platform (GCP). The ideal candidate will have 8+ years of IT experience, strong analytical and problem-solving abilities, and experience designing, developing, and maintaining scalable enterprise applications. The candidate should be comfortable contributing to architectural decisions, collaborating with cross-functional teams, and delivering high-quality software solutions across frontend, backend, and database layers. Key Responsibilities Design, develop, and maintain scalable full-stack applications across frontend, backend, and database layers. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Build and consume RESTful microservices using Java and Spring Boot. Develop responsive frontend applications using React, Redux, or Angular, along with HTML5 and CSS. Design, develop, and support cloud-native applications using Google Cloud Platform (GCP). Work with GCP services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, Cloud Functions, Memorystore for Redis, and application monitoring tools. Implement and manage infrastructure using Terraform and Infrastructure as Code (IaC) practices. Participate in system architecture and technical decision-making. Apply Test-Driven Development (TDD), Behavior-Driven Development (BDD), regression, and performance testing practices. Implement UI and end-to-end testing using Selenium, Cypress, or Playwright. Optimize application performance through JVM tuning and profiling. Execute API load and performance testing. Ensure code quality through established development practices, automated testing, and code reviews. Collaborate with product managers and engineering teams to break down requirements into production-ready user stories. Establish development best practices to improve efficiency and minimize technical risks. Use DevOps tools such as Jenkins, Tekton, SonarQube, Checkmarx, Fossa, and GitHub to support software development and deployment. Design, implement, and maintain enterprise CI/CD pipelines using Jenkins. Support automated testing, security scanning, and build/deployment troubleshooting. Establish and maintain frontend development standards, including accessible HTML5 and responsive CSS practices. Required Qualifications 8+ years of IT experience, including at least 6 years of software development experience. Bachelor's degree. Strong programming experience in at least one language, with practical experience in two coding languages or advanced expertise in one. Hands-on experience with Google Cloud Platform (GCP), including Cloud Run, GKE, Cloud Storage, Pub/Sub, Cloud SQL, and IAM. Strong proficiency in Java, including object-oriented programming, design patterns, code optimization, and troubleshooting. Extensive experience developing production-ready applications using Spring Boot, REST APIs, dependency injection, validation, exception handling, and automated testing. Strong experience developing responsive and reusable user interfaces using React, including hooks, state management, API integration, and component testing. Experience designing, developing, documenting, and consuming RESTful APIs. Understanding of HTTP methods, status codes, authentication, authorization, pagination, versioning, and error handling. Experience with acceptance testing, translating business requirements into test scenarios, and supporting user acceptance testing (UAT). Experience with Node.js and backend service development. Advanced knowledge of HTML5, semantic markup, accessibility, and responsive web standards. Strong CSS skills, including Flexbox, Grid, media queries, and modern CSS architecture. Hands-on experience designing and maintaining Jenkins CI/CD pipelines, including declarative Jenkinsfiles, automated testing, and security integrations. Experience using GitHub for source control, branching, pull requests, code reviews, and CI/CD workflows. Experience with automated UI and end-to-end testing frameworks such as Selenium, Cypress, or Playwright. Preferred Qualifications Experience with AI-assisted development. Experience with TypeScript and Node.js. Familiarity with CI/CD pipelines and automation. Knowledge of DevOps methodologies. Experience with Unix/Linux environments and Shell scripting. Experience with Docker and Kubernetes. Working knowledge of Redis. Experience with performance testing and application optimization. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Job description OVERVIEWThe Senior Systems Administrator provides advanced server and systems support to the Service Delivery Team. This position handles escalated system infrastructure requests, complex systems administration issues, system design and implementation projects, and proactive monitoring of client environments. The Systems Administrator must possess strong server expertise combined with solid systems administration knowledge to resolve complex infrastructure challenges spanning both domains. This role collaborates with the Engineering Team for strategic guidance and works closely with project teams to deliver enterprise-grade solutions. Additionally, this position supports and mentors junior technical staff by providing technical guidance and helping others develop their skills.RESPONSIBILITIES & TASKSHELPDESK ESCALATIONS & SUPPORT Handle escalated tickets from the helpdesk team on complex network and systems issues Provide advanced troubleshooting for network infrastructure problems affecting client operations Resolve technical issues related to servers, operating systems, applications, and network connectivity Mentor junior technicians by answering high-level technical questions and providing guidance Assist other team members with network troubleshooting and onsite challenges TICKETING SYSTEM & DOCUMENTATION Use ConnectWise Manage Ticketing System to work on and resolve Helpdesk Tickets & Service Requests Manage and record all work in the ticketing system with accurate billing time and notes Maintain documentation of network designs, configurations, and procedures in ITBoost Create and update Standard Operating Procedures (SOPs) for network operations and maintenance Ensure all network changes and incidents are properly documented and communicated Split tickets with multiple issues into individual tickets for proper tracking PROJECT WORK Support the project team with network design and implementation for client deployments Support network upgrades, migrations, and infrastructure optimization initiatives Collaborate on complex multi-site and hybrid network projects COMMUNICATION, REPORTING & RISK Create and maintain documentation for on-site processes Escalate tickets requiring Service Delivery Manager support Communicate ticket status to clients at every step of the way Notify clients of any changes or outages related to their issues Identify, communicate, and mitigate potential risks to the Service Delivery Manager and clients TEAM WORK Follow the schedule provided by the Service Delivery Manager or Service Coordinator Adhere to all company security procedures and maintain vigilance for security issues Identify opportunities for improvement and make constructive suggestions for change Contribute to innovative process improvements SKILLS & ATTRIBUTESDESIRED 2+ years of hands-on experience in high-level network maintenance, configuration, and administration Great communication skills, founded in being a good listener Strong systems administration knowledge and experience with Windows Server and Azure environments Advanced knowledge of network design principles and enterprise network architectures Strong experience with SonicWall firewalls and network security appliances Experience and knowledge of working with the Microsoft 365 Platform Experience working with vendors for expedited troubleshooting of hardware and software systems Proven experience configuring and troubleshooting VPN technologies Advanced TCP/IP networking knowledge and network troubleshooting methodology Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders Exceptional attention to detail with strong organizational skills Ability to keep up with and adapt to the fast-paced IT world Ability to answer and explain high-level technical networking and systems questions clearly Experience supporting Microsoft 365 or other cloud platforms from a network and systems perspective NICE TO HAVE Experience using ticketing systems, RMM tools, and PSA software (ConnectWise Manager) Experience providing support via remote tools (Screen Connect) Experience handling technical service tickets Professional IT Certifications such as CompTIA Network+ and Security+ Client experience certifications such as Helpdesk Habits Experience working on a helpdesk or for a Managed Service Provider (MSP) / IT Support Business WHAT WE OFFER Competitive health, dental, and vision coverage An easy-going environment and culture (we all enjoy what we do) Subscription to Cybrary.it for ongoing professional development Company laptop and necessary equipment Flexible work-from-home arrangements after 90-day probationary period 401(k) retirement plan COMPENSATION $80,000 - $85,000 (commensurate with experience)
11/13/2026
Full time
Job description OVERVIEWThe Senior Systems Administrator provides advanced server and systems support to the Service Delivery Team. This position handles escalated system infrastructure requests, complex systems administration issues, system design and implementation projects, and proactive monitoring of client environments. The Systems Administrator must possess strong server expertise combined with solid systems administration knowledge to resolve complex infrastructure challenges spanning both domains. This role collaborates with the Engineering Team for strategic guidance and works closely with project teams to deliver enterprise-grade solutions. Additionally, this position supports and mentors junior technical staff by providing technical guidance and helping others develop their skills.RESPONSIBILITIES & TASKSHELPDESK ESCALATIONS & SUPPORT Handle escalated tickets from the helpdesk team on complex network and systems issues Provide advanced troubleshooting for network infrastructure problems affecting client operations Resolve technical issues related to servers, operating systems, applications, and network connectivity Mentor junior technicians by answering high-level technical questions and providing guidance Assist other team members with network troubleshooting and onsite challenges TICKETING SYSTEM & DOCUMENTATION Use ConnectWise Manage Ticketing System to work on and resolve Helpdesk Tickets & Service Requests Manage and record all work in the ticketing system with accurate billing time and notes Maintain documentation of network designs, configurations, and procedures in ITBoost Create and update Standard Operating Procedures (SOPs) for network operations and maintenance Ensure all network changes and incidents are properly documented and communicated Split tickets with multiple issues into individual tickets for proper tracking PROJECT WORK Support the project team with network design and implementation for client deployments Support network upgrades, migrations, and infrastructure optimization initiatives Collaborate on complex multi-site and hybrid network projects COMMUNICATION, REPORTING & RISK Create and maintain documentation for on-site processes Escalate tickets requiring Service Delivery Manager support Communicate ticket status to clients at every step of the way Notify clients of any changes or outages related to their issues Identify, communicate, and mitigate potential risks to the Service Delivery Manager and clients TEAM WORK Follow the schedule provided by the Service Delivery Manager or Service Coordinator Adhere to all company security procedures and maintain vigilance for security issues Identify opportunities for improvement and make constructive suggestions for change Contribute to innovative process improvements SKILLS & ATTRIBUTESDESIRED 2+ years of hands-on experience in high-level network maintenance, configuration, and administration Great communication skills, founded in being a good listener Strong systems administration knowledge and experience with Windows Server and Azure environments Advanced knowledge of network design principles and enterprise network architectures Strong experience with SonicWall firewalls and network security appliances Experience and knowledge of working with the Microsoft 365 Platform Experience working with vendors for expedited troubleshooting of hardware and software systems Proven experience configuring and troubleshooting VPN technologies Advanced TCP/IP networking knowledge and network troubleshooting methodology Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders Exceptional attention to detail with strong organizational skills Ability to keep up with and adapt to the fast-paced IT world Ability to answer and explain high-level technical networking and systems questions clearly Experience supporting Microsoft 365 or other cloud platforms from a network and systems perspective NICE TO HAVE Experience using ticketing systems, RMM tools, and PSA software (ConnectWise Manager) Experience providing support via remote tools (Screen Connect) Experience handling technical service tickets Professional IT Certifications such as CompTIA Network+ and Security+ Client experience certifications such as Helpdesk Habits Experience working on a helpdesk or for a Managed Service Provider (MSP) / IT Support Business WHAT WE OFFER Competitive health, dental, and vision coverage An easy-going environment and culture (we all enjoy what we do) Subscription to Cybrary.it for ongoing professional development Company laptop and necessary equipment Flexible work-from-home arrangements after 90-day probationary period 401(k) retirement plan COMPENSATION $80,000 - $85,000 (commensurate with experience)
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $50.00hr - $55.00hr Job Overview: The mission is to protect, provide for, and progress the software and systems behind all of the organization's services with an ever-watchful eye on their availability, latency, performance, integration, and capacity to ensure the ultimate customer experience. Requirements: Must possess strong documentation and communication skills. Demonstrate working knowledge of automation principles. Intermediate understanding of core technical concepts. Hands-on intermediate knowledge of primary skills and subjects, with advanced proficiency in at least one discipline: ITIL/ITSM Principles and Practice; Software Development Lifecycle (SDLC); Infrastructure (Unix, Windows, Mainframe) Administration; Network Architecture (Layer 1 to Layer 3); Middleware & Runtime Environments (such as J2EE/.NET/etc); Load balancers and application firewalls (WAFs); Logging and Monitoring methods, standards and tools; DevOps Concepts & Tooling; Resiliency, High Availability & Business Continuity Planning/Management; Caching Concepts & Content Delivery Networks; Configuration Management (& Infrastructure as Code); Cloud Concepts, Architecture and Platform as a Service (PaaS) Concepts. Advanced understanding of Role Based Access Controls (RBAC) and Access Management (SAML, LTPA, SSO, OAuth). Self-driven with the ability to execute necessary tasks and duties independently. Strong analytical and critical thinking skills. Advanced knowledge of Internet architecture and project delivery. Intermediate knowledge of network troubleshooting. Foundational knowledge of cryptographic services (HSMs/Certificates). Mindset and Behavior Guidelines: Sense of urgency. Customer-focused mindset with a deep understanding of key customer journeys and user experience. Effective communication across all technical and managerial levels. Curiosity and a drive for continuous learning and continuous improvement. Ability to coach and mentor team members. Willingness to embrace risk and seek simplicity. Dedication to knowledge sharing and technical writing. Strong multi-tasking abilities and comfort handling difficult conversations. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: The mission is to protect, provide for, and progress the software and systems behind all of the organization's services with an ever-watchful eye on their availability, latency, performance, integration, and capacity to ensure the ultimate customer experience. Requirements: Must possess strong documentation and communication skills. Demonstrate working knowledge of automation principles. Intermediate understanding of core technical concepts. Hands-on intermediate knowledge of primary skills and subjects, with advanced proficiency in at least one discipline: ITIL/ITSM Principles and Practice; Software Development Lifecycle (SDLC); Infrastructure (Unix, Windows, Mainframe) Administration; Network Architecture (Layer 1 to Layer 3); Middleware & Runtime Environments (such as J2EE/.NET/etc); Load balancers and application firewalls (WAFs); Logging and Monitoring methods, standards and tools; DevOps Concepts & Tooling; Resiliency, High Availability & Business Continuity Planning/Management; Caching Concepts & Content Delivery Networks; Configuration Management (& Infrastructure as Code); Cloud Concepts, Architecture and Platform as a Service (PaaS) Concepts. Advanced understanding of Role Based Access Controls (RBAC) and Access Management (SAML, LTPA, SSO, OAuth). Self-driven with the ability to execute necessary tasks and duties independently. Strong analytical and critical thinking skills. Advanced knowledge of Internet architecture and project delivery. Intermediate knowledge of network troubleshooting. Foundational knowledge of cryptographic services (HSMs/Certificates). Mindset and Behavior Guidelines: Sense of urgency. Customer-focused mindset with a deep understanding of key customer journeys and user experience. Effective communication across all technical and managerial levels. Curiosity and a drive for continuous learning and continuous improvement. Ability to coach and mentor team members. Willingness to embrace risk and seek simplicity. Dedication to knowledge sharing and technical writing. Strong multi-tasking abilities and comfort handling difficult conversations. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Job description OVERVIEWThe Network Administrator II provides advanced network engineering and systems infrastructure support to the Service Delivery Team. This position handles escalated network infrastructure requests, complex systems administration issues, network design and implementation projects, and proactive monitoring of client environments. The Network Administrator II must possess strong networking expertise combined with solid systems administration knowledge to resolve complex infrastructure challenges spanning both domains. This role collaborates with the Engineering Team for strategic guidance and works closely with project teams to deliver enterprise-grade solutions. Additionally, this position supports and mentors junior technical staff by providing technical guidance and helping others develop their skills.RESPONSIBILITIES & TASKSHELPDESK ESCALATIONS & SUPPORT Handle escalated tickets from the helpdesk team on complex network and systems issues Provide advanced troubleshooting for network infrastructure problems affecting client operations Resolve technical issues related to servers, operating systems, applications, and network connectivity Mentor junior technicians by answering high-level technical questions and providing guidance Assist other team members with network troubleshooting and onsite challenges TICKETING SYSTEM & DOCUMENTATION Use ConnectWise Manage Ticketing System to work on and resolve Helpdesk Tickets & Service Requests Manage and record all work in the ticketing system with accurate billing time and notes Maintain documentation of network designs, configurations, and procedures in ITBoost Create and update Standard Operating Procedures (SOPs) for network operations and maintenance Ensure all network changes and incidents are properly documented and communicated Split tickets with multiple issues into individual tickets for proper tracking PROJECT WORK Support the project team with network design and implementation for client deployments Support network upgrades, migrations, and infrastructure optimization initiatives Collaborate on complex multi-site and hybrid network projects COMMUNICATION, REPORTING & RISK Create and maintain documentation for on-site processes Escalate tickets requiring Service Delivery Manager support Communicate ticket status to clients at every step of the way Notify clients of any changes or outages related to their issues Identify, communicate, and mitigate potential risks to the Service Delivery Manager and clients TEAM WORK Follow the schedule provided by the Service Delivery Manager or Service Coordinator Adhere to all company security procedures and maintain vigilance for security issues Identify opportunities for improvement and make constructive suggestions for change Contribute to innovative process improvements SKILLS & ATTRIBUTESDESIRED 2+ years of hands-on experience in high-level network maintenance, configuration, and administration Great communication skills, founded in being a good listener Strong systems administration knowledge and experience with Windows Server and Azure environments Advanced knowledge of network design principles and enterprise network architectures Strong experience with SonicWall firewalls and network security appliances Experience and knowledge of working with the Microsoft 365 Platform Experience working with vendors for expedited troubleshooting of hardware and software systems Proven experience configuring and troubleshooting VPN technologies Advanced TCP/IP networking knowledge and network troubleshooting methodology Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders Exceptional attention to detail with strong organizational skills Ability to keep up with and adapt to the fast-paced IT world Ability to answer and explain high-level technical networking and systems questions clearly Experience supporting Microsoft 365 or other cloud platforms from a network and systems perspective NICE TO HAVE Experience using ticketing systems, RMM tools, and PSA software (ConnectWise Manager) Experience providing support via remote tools (Screen Connect) Experience handling technical service tickets Professional IT Certifications such as CompTIA Network+ and Security+ Client experience certifications such as Helpdesk Habits Experience working on a helpdesk or for a Managed Service Provider (MSP) / IT Support Business WHAT WE OFFER Competitive health, dental, and vision coverage An easy-going environment and culture (we all enjoy what we do) Subscription to Cybrary.it for ongoing professional development Company laptop and necessary equipment Flexible work-from-home arrangements after 90-day probationary period 401(k) retirement plan COMPENSATION $80,000 - $85,000 (commensurate with experience)
11/13/2026
Full time
Job description OVERVIEWThe Network Administrator II provides advanced network engineering and systems infrastructure support to the Service Delivery Team. This position handles escalated network infrastructure requests, complex systems administration issues, network design and implementation projects, and proactive monitoring of client environments. The Network Administrator II must possess strong networking expertise combined with solid systems administration knowledge to resolve complex infrastructure challenges spanning both domains. This role collaborates with the Engineering Team for strategic guidance and works closely with project teams to deliver enterprise-grade solutions. Additionally, this position supports and mentors junior technical staff by providing technical guidance and helping others develop their skills.RESPONSIBILITIES & TASKSHELPDESK ESCALATIONS & SUPPORT Handle escalated tickets from the helpdesk team on complex network and systems issues Provide advanced troubleshooting for network infrastructure problems affecting client operations Resolve technical issues related to servers, operating systems, applications, and network connectivity Mentor junior technicians by answering high-level technical questions and providing guidance Assist other team members with network troubleshooting and onsite challenges TICKETING SYSTEM & DOCUMENTATION Use ConnectWise Manage Ticketing System to work on and resolve Helpdesk Tickets & Service Requests Manage and record all work in the ticketing system with accurate billing time and notes Maintain documentation of network designs, configurations, and procedures in ITBoost Create and update Standard Operating Procedures (SOPs) for network operations and maintenance Ensure all network changes and incidents are properly documented and communicated Split tickets with multiple issues into individual tickets for proper tracking PROJECT WORK Support the project team with network design and implementation for client deployments Support network upgrades, migrations, and infrastructure optimization initiatives Collaborate on complex multi-site and hybrid network projects COMMUNICATION, REPORTING & RISK Create and maintain documentation for on-site processes Escalate tickets requiring Service Delivery Manager support Communicate ticket status to clients at every step of the way Notify clients of any changes or outages related to their issues Identify, communicate, and mitigate potential risks to the Service Delivery Manager and clients TEAM WORK Follow the schedule provided by the Service Delivery Manager or Service Coordinator Adhere to all company security procedures and maintain vigilance for security issues Identify opportunities for improvement and make constructive suggestions for change Contribute to innovative process improvements SKILLS & ATTRIBUTESDESIRED 2+ years of hands-on experience in high-level network maintenance, configuration, and administration Great communication skills, founded in being a good listener Strong systems administration knowledge and experience with Windows Server and Azure environments Advanced knowledge of network design principles and enterprise network architectures Strong experience with SonicWall firewalls and network security appliances Experience and knowledge of working with the Microsoft 365 Platform Experience working with vendors for expedited troubleshooting of hardware and software systems Proven experience configuring and troubleshooting VPN technologies Advanced TCP/IP networking knowledge and network troubleshooting methodology Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders Exceptional attention to detail with strong organizational skills Ability to keep up with and adapt to the fast-paced IT world Ability to answer and explain high-level technical networking and systems questions clearly Experience supporting Microsoft 365 or other cloud platforms from a network and systems perspective NICE TO HAVE Experience using ticketing systems, RMM tools, and PSA software (ConnectWise Manager) Experience providing support via remote tools (Screen Connect) Experience handling technical service tickets Professional IT Certifications such as CompTIA Network+ and Security+ Client experience certifications such as Helpdesk Habits Experience working on a helpdesk or for a Managed Service Provider (MSP) / IT Support Business WHAT WE OFFER Competitive health, dental, and vision coverage An easy-going environment and culture (we all enjoy what we do) Subscription to Cybrary.it for ongoing professional development Company laptop and necessary equipment Flexible work-from-home arrangements after 90-day probationary period 401(k) retirement plan COMPENSATION $80,000 - $85,000 (commensurate with experience)
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Technology & Platforms delivers cross-enterprise technology products, services, and capabilities to S&P Global's organizations and employees worldwide. The Developer Experience and Product Enablement function will own and evolve the enterprise product and software development lifecycle toolchain - the agentic PDLC - bringing together platforms, governance, support, productivity insights, and AI-native product management and engineering capabilities. It spans the full path from discovery and customer insight through definition, design, build, release, and in-market measurement, treating product management and engineering as one connected system rather than two adjacent toolsets. The team will operate as an enterprise hub, partnering closely with divisional CTO and product organizations and embedded practitioners to preserve business context while creating a consistent, scalable experience for both builders and the product leaders who direct them. Responsibilities and Impact: Approximately 10,000 developers across S&P Global build software on a common toolchain, and the product managers, designers, and analysts who decide what gets built work alongside them on a second, largely disconnected one. This role owns both and joins them. That toolchain is critical infrastructure for product discovery, software delivery, engineering productivity, security, resilience, and AI-native development. The role will reduce fragmentation and duplication, close the handoff gaps between product intent and shipped software, strengthen governance and support, and make developer and product experience a measurable strategic capability. Set the enterprise Developer Experience and Product Enablement strategy, product vision, roadmap, operating model, and investment priorities in partnership with the CIO leadership team, divisional CTOs, divisional heads of product, and other senior technology and product leaders. Own the full lifecycle of enterprise software development platforms and tools, including source code management, code collaboration, CI/CD, build engineering, developer environments, code quality and scanning, cloud development infrastructure, and related integrations. Own the full lifecycle of enterprise product management platforms and tools, including customer and market research repositories, idea intake and opportunity assessment, roadmapping and portfolio planning, requirements and specification authoring, design and prototyping, work management and backlog tooling, experimentation and feature management, product analytics, and voice-of-customer and feedback aggregation. Connect the two halves into a single agentic PDLC, establishing the traceable thread from customer insight to opportunity, specification, design, commit, release, and in-market outcome, so that product intent, engineering work, and measured impact reconcile in one system of record rather than in status decks. Manage the toolchain as a coherent portfolio of enterprise products, with clear customer outcomes, service levels, adoption goals, cost transparency, platform health measures, and accountable product ownership. Build a trusted partnership model with divisional CTOs, heads of product, executive sponsors, and embedded divisional practitioners to align enterprise standards with business-specific product and engineering requirements. Lead the consolidation of fragmented tooling, resources, licenses, support processes, and automation across both the product and engineering estates, reducing duplication while managing transitions without disrupting delivery. Establish a scalable support and self-service ecosystem for developers and product teams, including developer and product portals, template and artifact libraries, knowledge management, onboarding, access and license management, AI-assisted triage, and expert escalation. Own advocacy and community across both disciplines, including communities of practice, technical and product evangelism, onboarding and enablement content, craft standards for specifications and discovery practice, change communications, and structured feedback loops that earn adoption rather than mandate it. Own the innersource ecosystem, applying open-source working practice to proprietary code so that shared libraries, contribution standards, maintainer stewardship, and IP guardrails make reuse across divisions the default rather than the exception. Define and govern the enterprise approach to AI-native and agentic product development and software engineering, including approved tools, guardrails, model and data access, reusable agent workflows spanning research synthesis, specification drafting, prototype generation, code generation, and release readiness, platform integrations, experimentation, and responsible adoption. Create an enterprise measurement system for product and developer productivity and experience, including DORA metrics, cycle time from idea to release, adoption and utilization measures, tool ROI, practitioner sentiment, friction mapping, product outcome and experimentation results, and executive reporting. Build and lead a high-performing global organization across platform engineering, product management, product operations, design and research enablement, developer support, data and analytics, and forward-deployed AI engineering, with clear accountability and a strong talent strategy. Maintain strong operational rigor, security, resilience, financial management, vendor governance, and continuous improvement across the enterprise toolchain. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $220,000 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: A proven enterprise technology leader who has previously built, transformed, and operated a large-scale Developer Experience, developer platform, DevSecOps, or software engineering enablement function. Minimum of 15 years of progressive technology leadership experience, including responsibility for globally scaled engineering platforms, products, or shared services. Has held enterprise decision rights over tooling used by teams outside their own reporting line, with examples of contested standardization decisions reached alongside divisional CTOs and the trade-offs accepted on risk, cost, and developer experience. Direct ownership of modern product and software development lifecycle platforms in production, including design, source control, CI/CD, building systems, artifact management, developer environments, cloud development infrastructure, application security tooling, and platform integrations. Has owned a platform product roadmap with developers as the customer, including at least one decision to retire or deprioritize a tool that still had an installed user base. Has consolidated overlapping toolchains across multiple business units, and can speak to what was retired, what was recovered in licenses and effort, and how migrations were sequenced without interrupting delivery. Has rolled out AI-assisted development tooling to a developer population at scale, with measured adoption to show for it and defensible answers on guardrails, intellectual property, and model access. Has hired, built, and led a globally distributed organization spanning platform engineering, product management, developer support, and analytics. Excellent executive communication and stakeholder management skills, including the ability to translate technical complexity into clear business decisions, trade-offs, and measurable outcomes. Undergraduate degree required; advanced degree or equivalent relevant experience preferred. Additional Preferred Qualifications: Experience operating developer platforms in a highly regulated, security-conscious, or financial services environment. Experience designing hub-and-spoke operating models that combine enterprise platform ownership with embedded divisional engineering expertise. Has stood up a developer productivity measurement program - DORA metrics, developer sentiment research, adoption and cost data - and used its findings to change a roadmap or investment decision. Experience with enterprise platforms and integrations such as GitHub, Jira, Azure DevOps, Figma, Playwright, CI/CD systems, artifact repositories, developer portals, and API or model context protocol integration layers. Track record of using automation, self-service, data, and AI to improve developer experience and scale support without compromising quality or control. Actively maintains an external view of engineering platform and AI-assisted development practice - through vendor and peer networks, industry forums, or open-source and community participation. . click apply for full job details
Job Description Date Posted: 2026-09-14 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Support engineering activities related to testing and troubleshooting of hardware and software Functional analysis of real world and test data; trade studies to bring advanced features to fielded system Support troubleshooting and failure data analyses, including root cause and corrective action processes and advanced use of lab or field test equipment System integration and test support, possibly including live fire test events Complete and compile detailed performance evaluations, including the use of analysis tools, such as MATLAB Support qualification of our products Sustainment/Depot returns and repair Maintain engineering specifications (DS, ARD, etc.) & drawing (Schematics & Assembly Drawings) Prepare and present results in reports and briefings to internal or external stakeholders Maintain engineering databases Participate in periodic team meetings, interface teleconference meetings, working group meetings Collaborate with cross-product teams including Chief Engineers, Program Directors and Program Managers Applying advanced logistics principles to develop complex program level concepts and plans Occasional Domestic and International Travel May Be Required. This job is posted as ONSITE, and is based at Raytheon's Tewksbury, MA facility. What You Will Learn After completion of comprehensive on-the-job training, the candidate will be a part of a team supporting Systems Engineering, Systems Integration & Test activities across the product development life cycle. Qualifications You Must Have Bachelor's degree in Electrical Engineering, Computer Engineering or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date. Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Experience with various areas of the Technical Data Package (drawings, parts lists, and electrical schematics) and experience generating/interpreting Parts List Experience reviewing and understanding system drawings Experience in understanding a generation breakdown Experience with Microsoft Office applications including Microsoft Excel and PowerPoint Supply chain familiarity Experience with or exposure to various military platforms such as ships, ground combat systems, fixed and rotary wing aircraft Experience working in a project management environment Strong interpersonal and communication skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 57,200 USD - 108,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-09-14 Country: United States of America Location: US-MA-TEWKSBURY-TB2 50 Apple Hill Dr SUDBURY BLDG, Tewksbury Tb2 200 Sudbury Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do The Systems Engineering and Test Capabilities (SE&TC) Discipline organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), system performance, System Security Engineering (SSE), integration and system level testing, identifying and resolving hardware, software, and networking issues, and developing automated or operator-driven tests in support of system-level integration, verification and validation. Support engineering activities related to testing and troubleshooting of hardware and software Functional analysis of real world and test data; trade studies to bring advanced features to fielded system Support troubleshooting and failure data analyses, including root cause and corrective action processes and advanced use of lab or field test equipment System integration and test support, possibly including live fire test events Complete and compile detailed performance evaluations, including the use of analysis tools, such as MATLAB Support qualification of our products Sustainment/Depot returns and repair Maintain engineering specifications (DS, ARD, etc.) & drawing (Schematics & Assembly Drawings) Prepare and present results in reports and briefings to internal or external stakeholders Maintain engineering databases Participate in periodic team meetings, interface teleconference meetings, working group meetings Collaborate with cross-product teams including Chief Engineers, Program Directors and Program Managers Applying advanced logistics principles to develop complex program level concepts and plans Occasional Domestic and International Travel May Be Required. This job is posted as ONSITE, and is based at Raytheon's Tewksbury, MA facility. What You Will Learn After completion of comprehensive on-the-job training, the candidate will be a part of a team supporting Systems Engineering, Systems Integration & Test activities across the product development life cycle. Qualifications You Must Have Bachelor's degree in Electrical Engineering, Computer Engineering or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date. Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Experience with various areas of the Technical Data Package (drawings, parts lists, and electrical schematics) and experience generating/interpreting Parts List Experience reviewing and understanding system drawings Experience in understanding a generation breakdown Experience with Microsoft Office applications including Microsoft Excel and PowerPoint Supply chain familiarity Experience with or exposure to various military platforms such as ships, ground combat systems, fixed and rotary wing aircraft Experience working in a project management environment Strong interpersonal and communication skills What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 57,200 USD - 108,800 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. R&D Manager, Project Leadership & Software Description - HP creates technology that makes life better for everyone, everywhere. Within the Advanced Compute & Solutions BU, Workstations R&D develops high-performance computing platforms for professional, technical, and enterprise customers. The Project Leadership and Software team is central to delivering secure, reliable, and differentiated HP Z Workstation experiences across hardware, firmware, software, and operating system ecosystems. Join the business bringing the future of advanced computing to professionals worldwide. The R&D Manager for Project Leadership and Software leads teams of engineers and technical program managers responsible for workstation firmware development, Windows and Linux operating system readiness, platform software integration, and program execution for HP Z Workstations. The role manages multiple development and execution activities across product lifecycles, aligning resources, technical priorities, schedules, and business objectives to ensure successful delivery of workstation platforms. The manager drives execution from early platform architecture and bring-up through product launch, sustaining updates, and lifecycle refreshes. This includes ownership of Remote System Controller (RSC) firmware strategy and execution, Windows and Linux operating system integration and Linux certification, and end-to-end program leadership for Value Workstations. The role ensures platform readiness, customer satisfaction, and on-time delivery through close collaboration with internal engineering organizations, global original design manufacturers, silicon partners, operating system vendors, and strategic technology suppliers. This role combines people leadership, technical breadth, strategic planning, program execution, supplier management, and continuous improvement. It partners closely with Architecture, Electrical Engineering, Software Engineering, Security, Program Management, Quality, Manufacturing, Customer Support, and external development partners to assess risk, drive alignment, resolve cross-functional issues, and support product readiness. The fundamental outcome is the successful delivery of innovative workstation platforms that meet customer needs and expectations across a wide range of professional computing environments. Key Responsibilities Firmware, Operating Systems, and Platform Software Leadership Lead manageability firmware, and low-level platform software engineering teams supporting HP Z Workstation platforms. Lead Windows and Linux operating system engineering activities, including OS readiness, hardware enablement, driver integration, certification, platform optimization, security, and enterprise deployment support. Drive execution of firmware and operating system deliverables from early architecture and platform bring-up through launch, sustaining updates, and lifecycle refreshes. Establish firmware and OS development strategies, release plans, quality objectives, and execution frameworks aligned with business and platform roadmaps. Ensure platform readiness through comprehensive validation of firmware, operating system, manageability, and customer experience requirements. Drive timely identification, prioritization, root-cause analysis, and resolution of critical platform issues in partnership with engineering teams, ODMs, operating system vendors, and silicon suppliers. Champion engineering excellence through continuous improvement of development processes, automation, metrics, development velocity, and quality outcomes. Technical Program Management Leadership Lead a team of R&D Technical Program Managers responsible for cross-functional execution of workstation platform development programs. Establish program governance, execution frameworks, decision-making processes, and risk management practices supporting complex hardware and software initiatives. Drive alignment of cross-functional teams across engineering, operations, quality, manufacturing, procurement, and business organizations. Ensure program plans, milestones, dependencies, and resource requirements are clearly defined, communicated, and actively managed. Lead program reviews, executive updates, issue escalations, and decision forums to maintain schedule predictability and delivery commitments. Drive risk identification, mitigation planning, and closure across multiple concurrent platform programs. People and Organizational Leadership Provide direct and ongoing leadership for firmware engineers, operating system engineers, technical program managers, and external partners. Manage staffing and talent responsibilities including recruitment, onboarding, performance management, coaching, succession planning, and career development. Establish clear objectives, accountability, and development plans that support strong execution and continued growth of team capability. Manage team budget and resource planning. Build an engineering culture emphasizing collaboration, customer focus, technical innovation, ownership, disciplined execution, and continuous improvement. Foster effective communication and collaboration between team members, global development teams, and outsourced resources. Lead supplier and partner performance management, ensuring commitments, quality objectives, and service expectations are achieved. Develop organizational capabilities across firmware engineering, operating systems expertise, and program management disciplines to meet evolving business needs. Program and Cross-Functional Leadership Manage deliverables, schedules, costs, and resource allocation across firmware, operating system, and platform programs; identify and mitigate technical, execution, quality, and schedule risks. Ensure engineering priorities, roadmaps, timelines, and budgets align with organizational and business objectives. Represent firmware, operating systems, and program execution organizations in leadership reviews, architecture reviews, readiness assessments, and Go/No-Go decisions. Communicate status, risks, dependencies, and escalation plans to leadership teams and development partners. Partner with Architecture, Hardware, Software, Security, Quality, Manufacturing, Customer Support, and Operations teams to assess readiness and execution risk. Support customer escalations and field issues, coordinating cross-functional investigation and resolution to maintain customer satisfaction. Lead recurring and ad hoc cross-functional reviews with global stakeholders to drive alignment, execution excellence, and business outcomes. Collaborate with Microsoft, Canonical, Red Hat, silicon providers, ODMs, and other ecosystem partners to ensure platform compatibility, certification, and customer readiness. Drive strategic initiatives focused on platform security, enterprise manageability, operating system innovation, AI workstation capabilities, and future technology enablement. Education and Experience Bachelor's or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline, or commensurate work experience and demonstrated competence. Typically 10+ years of job-related experience, including relevant experience in electronics or computer hardware/software development, technical program management, or a related technical development environment. Typically 8-10 years of management or technical leadership experience, including leadership of engineering functions, teams, and delivery across organizational or geographic boundaries. Demonstrated ability to manage project elements, resources, schedules, budgets, suppliers, and technical risks. Preferred Qualifications Experience with workstation-class platforms, enterprise PCs, high-performance computing systems, or other complex computing products. Experience leading system-level functional, lifecycle validation. Experience operating at the intersection of R&D, Quality, Manufacturing, suppliers, and customer engagement. Experience working with silicon partners and global original design manufacturers. Strong written and verbal communication skills, including the ability to present complex technical topics and readiness assessments to leadership audiences and guide effective decisions. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; . click apply for full job details
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. R&D Manager, Project Leadership & Software Description - HP creates technology that makes life better for everyone, everywhere. Within the Advanced Compute & Solutions BU, Workstations R&D develops high-performance computing platforms for professional, technical, and enterprise customers. The Project Leadership and Software team is central to delivering secure, reliable, and differentiated HP Z Workstation experiences across hardware, firmware, software, and operating system ecosystems. Join the business bringing the future of advanced computing to professionals worldwide. The R&D Manager for Project Leadership and Software leads teams of engineers and technical program managers responsible for workstation firmware development, Windows and Linux operating system readiness, platform software integration, and program execution for HP Z Workstations. The role manages multiple development and execution activities across product lifecycles, aligning resources, technical priorities, schedules, and business objectives to ensure successful delivery of workstation platforms. The manager drives execution from early platform architecture and bring-up through product launch, sustaining updates, and lifecycle refreshes. This includes ownership of Remote System Controller (RSC) firmware strategy and execution, Windows and Linux operating system integration and Linux certification, and end-to-end program leadership for Value Workstations. The role ensures platform readiness, customer satisfaction, and on-time delivery through close collaboration with internal engineering organizations, global original design manufacturers, silicon partners, operating system vendors, and strategic technology suppliers. This role combines people leadership, technical breadth, strategic planning, program execution, supplier management, and continuous improvement. It partners closely with Architecture, Electrical Engineering, Software Engineering, Security, Program Management, Quality, Manufacturing, Customer Support, and external development partners to assess risk, drive alignment, resolve cross-functional issues, and support product readiness. The fundamental outcome is the successful delivery of innovative workstation platforms that meet customer needs and expectations across a wide range of professional computing environments. Key Responsibilities Firmware, Operating Systems, and Platform Software Leadership Lead manageability firmware, and low-level platform software engineering teams supporting HP Z Workstation platforms. Lead Windows and Linux operating system engineering activities, including OS readiness, hardware enablement, driver integration, certification, platform optimization, security, and enterprise deployment support. Drive execution of firmware and operating system deliverables from early architecture and platform bring-up through launch, sustaining updates, and lifecycle refreshes. Establish firmware and OS development strategies, release plans, quality objectives, and execution frameworks aligned with business and platform roadmaps. Ensure platform readiness through comprehensive validation of firmware, operating system, manageability, and customer experience requirements. Drive timely identification, prioritization, root-cause analysis, and resolution of critical platform issues in partnership with engineering teams, ODMs, operating system vendors, and silicon suppliers. Champion engineering excellence through continuous improvement of development processes, automation, metrics, development velocity, and quality outcomes. Technical Program Management Leadership Lead a team of R&D Technical Program Managers responsible for cross-functional execution of workstation platform development programs. Establish program governance, execution frameworks, decision-making processes, and risk management practices supporting complex hardware and software initiatives. Drive alignment of cross-functional teams across engineering, operations, quality, manufacturing, procurement, and business organizations. Ensure program plans, milestones, dependencies, and resource requirements are clearly defined, communicated, and actively managed. Lead program reviews, executive updates, issue escalations, and decision forums to maintain schedule predictability and delivery commitments. Drive risk identification, mitigation planning, and closure across multiple concurrent platform programs. People and Organizational Leadership Provide direct and ongoing leadership for firmware engineers, operating system engineers, technical program managers, and external partners. Manage staffing and talent responsibilities including recruitment, onboarding, performance management, coaching, succession planning, and career development. Establish clear objectives, accountability, and development plans that support strong execution and continued growth of team capability. Manage team budget and resource planning. Build an engineering culture emphasizing collaboration, customer focus, technical innovation, ownership, disciplined execution, and continuous improvement. Foster effective communication and collaboration between team members, global development teams, and outsourced resources. Lead supplier and partner performance management, ensuring commitments, quality objectives, and service expectations are achieved. Develop organizational capabilities across firmware engineering, operating systems expertise, and program management disciplines to meet evolving business needs. Program and Cross-Functional Leadership Manage deliverables, schedules, costs, and resource allocation across firmware, operating system, and platform programs; identify and mitigate technical, execution, quality, and schedule risks. Ensure engineering priorities, roadmaps, timelines, and budgets align with organizational and business objectives. Represent firmware, operating systems, and program execution organizations in leadership reviews, architecture reviews, readiness assessments, and Go/No-Go decisions. Communicate status, risks, dependencies, and escalation plans to leadership teams and development partners. Partner with Architecture, Hardware, Software, Security, Quality, Manufacturing, Customer Support, and Operations teams to assess readiness and execution risk. Support customer escalations and field issues, coordinating cross-functional investigation and resolution to maintain customer satisfaction. Lead recurring and ad hoc cross-functional reviews with global stakeholders to drive alignment, execution excellence, and business outcomes. Collaborate with Microsoft, Canonical, Red Hat, silicon providers, ODMs, and other ecosystem partners to ensure platform compatibility, certification, and customer readiness. Drive strategic initiatives focused on platform security, enterprise manageability, operating system innovation, AI workstation capabilities, and future technology enablement. Education and Experience Bachelor's or graduate degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline, or commensurate work experience and demonstrated competence. Typically 10+ years of job-related experience, including relevant experience in electronics or computer hardware/software development, technical program management, or a related technical development environment. Typically 8-10 years of management or technical leadership experience, including leadership of engineering functions, teams, and delivery across organizational or geographic boundaries. Demonstrated ability to manage project elements, resources, schedules, budgets, suppliers, and technical risks. Preferred Qualifications Experience with workstation-class platforms, enterprise PCs, high-performance computing systems, or other complex computing products. Experience leading system-level functional, lifecycle validation. Experience operating at the intersection of R&D, Quality, Manufacturing, suppliers, and customer engagement. Experience working with silicon partners and global original design manufacturers. Strong written and verbal communication skills, including the ability to present complex technical topics and readiness assessments to leadership audiences and guide effective decisions. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; . click apply for full job details
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
11/13/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
This senior-level position requires proven expertise in the configuration, commissioning, and lifecycle support of Emerson's DeltaV Distributed Control System (DCS). The Senior DeltaV Programmer will lead project execution, provide advanced troubleshooting, mentor junior staff, and serve as a key technical advisor across internal and client teams. This role blends deep hands-on technical capability with effective communication and leadership. As a Senior DeltaV Programmer, you will be responsible for designing and implementing DeltaV solutions across various industrial projects, leading system configuration efforts, developing live graphics, performing advanced troubleshooting, and supporting commissioning/startups. This role involves collaborating closely with clients, engineers, and field technicians to deliver successful outcomes. Lead programming, configuration, and optimization of Emerson DeltaV DCS systems Develop and modify live graphics, control modules, and batch strategies Perform factory acceptance testing (FAT), site acceptance testing (SAT), and on-site commissioning/startup Mentor and support junior DeltaV team members; review and approve their work Provide advanced troubleshooting and resolution of complex DCS issues Interface directly with clients, project managers, and engineering teams to align project goals and schedules Coordinate software upgrades, backup strategies, and DCS lifecycle management Document and maintain system configurations, changes, and revisions in compliance with standards Requirements 8+ years of hands-on experience with Emerson DeltaV DCS, including batch and continuous process control Strong proficiency with DeltaV Configuration Studio, Control Studio, and Live Graphics Familiarity with DeltaV SIS, AMS Device Manager, and virtualization preferred Deep understanding of process control concepts, instrumentation, and industrial communication protocols Experience with project delivery processes, including requirements definition, implementation, and validation Strong server, networking, and basic instrumentation knowledge Ability to lead technical discussions and project scopes with clients and internal teams Willing and able to travel as required Possess documentation required for travel such as a Real ID or US Passport Must have a valid driver's license with a good driving record Must be able to pass a background check; drug and alcohol screening Must be able to comply with customer site requirements for access/entry Must be legally eligible to work in the U.S. and have a stable work history. Sponsorship is not available Physical Requirements Ability to lift 25+pounds periodically See, respond, and report to possible dangerous situations and emergency scenarios Bending, walking, climbing, kneeling, sitting, and standing for extended periods in an industrial environment Comfortable with heights and able to climb stairs/ladders Wear PPE/Safety gear as required for site requirements Benefits Medical, dental, and vision benefits with company contributions Health Savings and Flexible Spending Account-healthcare/dependent care accounts Retirement plan with matching contributions Bonus and profit share opportunities Generous paid time off policy, flexible paid holidays Short & Long-term disability Company paid group life & voluntary life insurance options EAP (Employee Assistance Program) Rewarding career with growth potential and opportunities About Us Enginuity Global is a leader in electrical engineering, automation + controls, and electrical and instrumentation field services. Our expertise delivers innovative solutions to maximize client operations and minimize downtime. Whether implementing a new system or improving the existing one, Enginuity Global's approach encompasses both operations and engineering perspectives to get the most out of capital investments. Joining our team gives you experience in top-performing industrial facilities in the fastest-growing markets in the country. We are looking for self-motivated, passionate, and hard-working professionals to grow our company. Equal Employment Opportunity Enginuity Global 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. PIdc2e9d270a37-1529
11/13/2026
Full time
This senior-level position requires proven expertise in the configuration, commissioning, and lifecycle support of Emerson's DeltaV Distributed Control System (DCS). The Senior DeltaV Programmer will lead project execution, provide advanced troubleshooting, mentor junior staff, and serve as a key technical advisor across internal and client teams. This role blends deep hands-on technical capability with effective communication and leadership. As a Senior DeltaV Programmer, you will be responsible for designing and implementing DeltaV solutions across various industrial projects, leading system configuration efforts, developing live graphics, performing advanced troubleshooting, and supporting commissioning/startups. This role involves collaborating closely with clients, engineers, and field technicians to deliver successful outcomes. Lead programming, configuration, and optimization of Emerson DeltaV DCS systems Develop and modify live graphics, control modules, and batch strategies Perform factory acceptance testing (FAT), site acceptance testing (SAT), and on-site commissioning/startup Mentor and support junior DeltaV team members; review and approve their work Provide advanced troubleshooting and resolution of complex DCS issues Interface directly with clients, project managers, and engineering teams to align project goals and schedules Coordinate software upgrades, backup strategies, and DCS lifecycle management Document and maintain system configurations, changes, and revisions in compliance with standards Requirements 8+ years of hands-on experience with Emerson DeltaV DCS, including batch and continuous process control Strong proficiency with DeltaV Configuration Studio, Control Studio, and Live Graphics Familiarity with DeltaV SIS, AMS Device Manager, and virtualization preferred Deep understanding of process control concepts, instrumentation, and industrial communication protocols Experience with project delivery processes, including requirements definition, implementation, and validation Strong server, networking, and basic instrumentation knowledge Ability to lead technical discussions and project scopes with clients and internal teams Willing and able to travel as required Possess documentation required for travel such as a Real ID or US Passport Must have a valid driver's license with a good driving record Must be able to pass a background check; drug and alcohol screening Must be able to comply with customer site requirements for access/entry Must be legally eligible to work in the U.S. and have a stable work history. Sponsorship is not available Physical Requirements Ability to lift 25+pounds periodically See, respond, and report to possible dangerous situations and emergency scenarios Bending, walking, climbing, kneeling, sitting, and standing for extended periods in an industrial environment Comfortable with heights and able to climb stairs/ladders Wear PPE/Safety gear as required for site requirements Benefits Medical, dental, and vision benefits with company contributions Health Savings and Flexible Spending Account-healthcare/dependent care accounts Retirement plan with matching contributions Bonus and profit share opportunities Generous paid time off policy, flexible paid holidays Short & Long-term disability Company paid group life & voluntary life insurance options EAP (Employee Assistance Program) Rewarding career with growth potential and opportunities About Us Enginuity Global is a leader in electrical engineering, automation + controls, and electrical and instrumentation field services. Our expertise delivers innovative solutions to maximize client operations and minimize downtime. Whether implementing a new system or improving the existing one, Enginuity Global's approach encompasses both operations and engineering perspectives to get the most out of capital investments. Joining our team gives you experience in top-performing industrial facilities in the fastest-growing markets in the country. We are looking for self-motivated, passionate, and hard-working professionals to grow our company. Equal Employment Opportunity Enginuity Global 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. PIdc2e9d270a37-1529
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year 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 +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning 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, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 5, Senior Manager - Intelligent Foundations and Experiences (IFX) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field +2 years experience building production RAG pipelines (chunking, embeddings, vector indexing, graph RAG, or fine-tuning). +2 years experience leveraging Agentic patterns (Tool Calling, ReAct loops, Plan-and-Execute, Multi-Agent Collaboration). +2 years with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel) and model APIs (OpenAI, Anthropic, Bedrock, Ollama, Hugging Face). +2 year experience in building agentic AI systems and agentic workflows +2 year 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 +2 years Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning 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, 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).
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning 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, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 5 (Senior Manager, IC) In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning 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, 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).
Senior Manager, Machine Learning Engineer (People Leader) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems At least 1 year of people leadership experience Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience managing and leading an ML engineering team 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Senior Manager, Machine Learning Engineer (People Leader) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers Recruit, nurture, and retain top engineering talent Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems At least 1 year of people leadership experience Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience managing and leading an ML engineering team 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Manager, Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Plano, TX: $209,000 - $238,500 for Sr. Manager, Machine Learning Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Manager, Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning 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).
11/13/2026
Full time
Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning 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).
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning 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).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning 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).