Automobile

Senior Technology Risk Analyst - Controls CoE

Job Description: The Role Are you passionate about strengthening technology controls and influencing risk outcomes at enterprise scale? Do you thrive in complex environments where your judgment and expertise directly support audit, regulatory, and certification objectives? As a Senior Technology Risk Analyst, you will play a critical role in shaping how Fidelity evaluates and strengthens technology risk management across the organization. This role offers the opportunity to lead impactful testing efforts, collaborate with senior stakeholders, and continuously improve how we manage technology risk. Core responsibilities include: Leading and executing technology risk and controls testing activities supporting audit, regulatory, and certification requirements Assessing control design and operating effectiveness across complex, distributed, cloud, and vendor hosted environments Partnering with technology, risk, and audit teams to identifying, analyzing, and escalating control gaps and emerging risks Applying advanced risk judgment and analytical thinking to solving complex control and risk challenges Contributing to improving testing methodologies, automation approaches, and documentation quality Providing guidance and informal mentorship to less experienced analysts while supporting broader testing workstreams The Expertise and Skills You Bring You bring strong experience in technology risk, controls, or audit functions within complex organizations, along with the ability to independently evaluate control effectiveness and navigate ambiguity. You have a solid foundation in technology risk frameworks and testing methodologies and are comfortable partnering with senior stakeholders across technology, audit, and compliance. You communicate clearly, apply sound professional judgment, and leverage data and analytics to drive meaningful insights. Bachelor's degree in computer science, technology, or a related field (Master's degree preferred) 5 or more years of experience in technology risk, IT, cybersecurity, cloud, analytics, or audit roles Experience performing control assessments and evaluating control maturity across diverse technology environments Working knowledge of industry frameworks such as NIST, COBIT, AICPA Trust Services Criteria, ISO 27001, HITRUST, or similar Familiarity with cloud security models (AWS, Azure, SaaS, PaaS) and GRC platforms such as Archer (preferred) Professional certifications such as CISA, CISSP, CRISC, or CISM (nice to have, not required) Note: Fidelity will not provide immigration sponsorship for this position. The Team We are part of Fidelity's Enterprise Technology Risk organization, embedded within the broader Legal, Risk, and Compliance function. Our Technology Risk Controls Testing team exists to provide independent, objective assurance over the effectiveness of technology controls protecting our clients, employees, and brand. We work closely with Corporate Audit, Enterprise Compliance, Information Security, Operational Risk, and technology and business partners across Fidelity. Our team is built on collaboration, accountability, and a relentless commitment to risk excellence. We value diverse perspectives, continuous learning, and strong partnerships that help Fidelity remain resilient in an evolving technology landscape. We are committed to fostering an inclusive culture where our people are empowered to grow, contribute, and make a meaningful impact. Certifications: Category: Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

  • Irving, TX

  • no content

Senior Technology Risk Analyst - Controls CoE

Job Description: The Role Are you passionate about strengthening technology controls and influencing risk outcomes at enterprise scale? Do you thrive in complex environments where your judgment and expertise directly support audit, regulatory, and certification objectives? As a Senior Technology Risk Analyst, you will play a critical role in shaping how Fidelity evaluates and strengthens technology risk management across the organization. This role offers the opportunity to lead impactful testing efforts, collaborate with senior stakeholders, and continuously improve how we manage technology risk. Core responsibilities include: Leading and executing technology risk and controls testing activities supporting audit, regulatory, and certification requirements Assessing control design and operating effectiveness across complex, distributed, cloud, and vendor hosted environments Partnering with technology, risk, and audit teams to identifying, analyzing, and escalating control gaps and emerging risks Applying advanced risk judgment and analytical thinking to solving complex control and risk challenges Contributing to improving testing methodologies, automation approaches, and documentation quality Providing guidance and informal mentorship to less experienced analysts while supporting broader testing workstreams The Expertise and Skills You Bring You bring strong experience in technology risk, controls, or audit functions within complex organizations, along with the ability to independently evaluate control effectiveness and navigate ambiguity. You have a solid foundation in technology risk frameworks and testing methodologies and are comfortable partnering with senior stakeholders across technology, audit, and compliance. You communicate clearly, apply sound professional judgment, and leverage data and analytics to drive meaningful insights. Bachelor's degree in computer science, technology, or a related field (Master's degree preferred) 5 or more years of experience in technology risk, IT, cybersecurity, cloud, analytics, or audit roles Experience performing control assessments and evaluating control maturity across diverse technology environments Working knowledge of industry frameworks such as NIST, COBIT, AICPA Trust Services Criteria, ISO 27001, HITRUST, or similar Familiarity with cloud security models (AWS, Azure, SaaS, PaaS) and GRC platforms such as Archer (preferred) Professional certifications such as CISA, CISSP, CRISC, or CISM (nice to have, not required) Note: Fidelity will not provide immigration sponsorship for this position. The Team We are part of Fidelity's Enterprise Technology Risk organization, embedded within the broader Legal, Risk, and Compliance function. Our Technology Risk Controls Testing team exists to provide independent, objective assurance over the effectiveness of technology controls protecting our clients, employees, and brand. We work closely with Corporate Audit, Enterprise Compliance, Information Security, Operational Risk, and technology and business partners across Fidelity. Our team is built on collaboration, accountability, and a relentless commitment to risk excellence. We value diverse perspectives, continuous learning, and strong partnerships that help Fidelity remain resilient in an evolving technology landscape. We are committed to fostering an inclusive culture where our people are empowered to grow, contribute, and make a meaningful impact. Certifications: Category: Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

  • Roanoke, TX

  • no content

Principal Engineer - Python API Development

Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Principal Engineer - Python API Development The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8 years (typically 10) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology

  • Fort Worth, TX

  • no content

Director Systems Analyst - Security Master & Pricing Engineering

Job Description: Note: Fidelity will not provide immigration sponsorship for this position. The Role The Director Systems Analyst, Security Master & Pricing Engineering role is a member of the Security Master & Pricing Engineering leadership team and a trusted partner for the Engineering Leaders. You work closely with the Group Engineering Leader, Group Product Leader, Engineering Leaders, and Product Leaders to shape the product direction, and influence the product team to consider the technical needs of the product as well as the business deliverables. You ensure incoming requests and initiatives are well defined and engage the business stakeholders, engineering, and architecture for clarity in design, capacity, planning, and execution. Your goal is to allow for predictable, consistent, and expedient delivery once work is taken up by an engineering team. The Expertise and Skills You Bring You bring extensive system and product knowledge that allows you to balance today's delivery with tomorrow's foundation. You think beyond the immediate requirements and align with the long-term technical and strategic posture for the product. You can quickly gain understanding of the components of our applications, data flows, integrations and inputs and outputs of the platform. Your product expertise is a valuable resource that is meant to be shared. You raise the collective understanding of the product, past, present, and future, you don't just bring others along but help them learn and understand the context you have gained. Clear, concise communication is leadership currency. The ideal candidate should be proactive, factual, show ease at making personal connections, be confident in leading, and constructively challenging with a dedicated approach to solving problems and overcoming obstacles. The Expertise You Have: Bachelor's degree in computer science or related technology discipline. 8 years, proven professional experience as a Systems or Product Analyst for software solutions, preference around modernizing from legacy to cloud systems. Amazon Webservices (AWS) Preferred. Experience researching, optimizing, developing, and authoring solution requirements and specifications for complex software systems. Proven experience with large datasets, data analysis, and Structured Query Language (SQL). Experience with API driven platforms, REST interfaces and Swagger. Familiarity with mainframe ecosystems and ability to navigate legacy systems, including understanding of COBOL-based applications. Excellent analytical, problem-solving, and interpersonal skills. The Skills You Bring: Ability to take business outcomes, requirements, and regulations and translate to system design and implementation. Understanding of the technology lifecycle, technical debt, and the ability to balance business outcomes with platform stability. You are a detail-oriented person with a real passion for accuracy, clarity, and elimination of ambiguity. You can rapidly assimilate business processes, goals and objectives and distill them into well-defined requirements You understand how technology can automate business processes and can effectively propose, challenge, and engage in ideation with business and technology teams in formulating software designs and solutions Good interpersonal and leadership and influencing skills (without direct authority of others) The Team We are the Brokerage Recordkeeping Technology (BRT) Security Master and Pricing team, supporting one of the key reference data systems underpinning the brokerage platform. We build, support, and enhance the technology that allows our business partners to provide the best brokerage experience in the industry. We are committed to building an enduring culture of inclusion and belonging that will attract, develop and retain a diverse workforce. Certifications: Category: Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

  • Raleigh, NC

  • no content

Principal Engineer - Python API Development

Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Principal Engineer - Python API Development The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8 years (typically 10) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology

  • Lyndhurst, NJ

  • no content

Principal Engineer - Python API Development

Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Principal Engineer - Python API Development The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8 years (typically 10) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology

  • Colleyville, TX

  • no content

Principal Engineer - Python API Development

Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Principal Engineer - Python API Development The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8 years (typically 10) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology

  • Roanoke, TX

  • no content

Principal Database Administrator

Job Description: Note: Fidelity will not provide immigration sponsorship for this position Principal Database Administrator, Workplace Investing Fidelity Investments Workplace Investing (WI) is actively seeking an experienced Database Administrator to help us drive strategic database initiatives in support of our business strategy both in the US and globally. This is a highly visible, dynamic role that will position us for the growth and scale we need as our businesses pro-actively adjust to the challenges in a highly competitive market. This role will be filled in Merrimack, NH. The Expertise We're Looking For 10 plus years performing Oracle 19c and 12g administration (SQL Server a plus) Expertise in Performance tuning, scripting and automation Expertise in Golden Gate replication on Oracle Real Application Clusters (RAC) Working hands-on knowledge/support of Postgres, Yugabyte, Aerospike, SQL MI, Snowflake a plus Significant background in solving complex technology challenges A strong background working in large-scale software projects Knowledge and expertise in cloud, hybrid cloud technology would be a real plus Our team supports a variety of complex applications serving a diverse set of businesses and customers directly. The database environments are extremely critical to our success and vitality which in turn requires a unique technical aptitude. The Purpose of Your Role As a Principal Database Administrator, you will provide technical vision and support over critical projects as part of our strategy to expand our database service offerings. You will be part of a broader team that maintains our overall technical strategy and integrated roadmap. The Skills You Bring Expertise analyzing, troubleshooting and performance tuning databases and SQL queries Expertise with Oracle Golden Gate, database replication and data movement strategies & tools Performing design evaluations/ recommendations for database migration strategies to the cloud Advanced communication skills both verbal and written Ability to operationalize solutions and ideas into standard operating procedures (SOP) The Value You Deliver Candidate must demonstrate the ability to visually present technical strategy & concepts Ensuring that technology solutions are aligned with our long-term architecture strategy Mentoring and developing more junior technical staff Your knowledge and experience expressed through insights, innovation and great ideas Certifications: Category: Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

  • Pelham, NH

  • no content

Senior Systems Services and Support Analyst

Job Description: Note: Fidelity will not provide immigration sponsorship for this position Senior Systems Services and Support Analyst The Role The Senior Systems Services and Support Analyst is part of the Mainframe Security team, a group responsible for safeguarding Fidelity's core transaction-processing platforms. These systems support essential business processes across the enterprise, so maintaining their security, stability, and performance is critical to our ability to serve customers and business partners. This role directly supports the day-to-day and long-term security needs of the mainframe environment, ensuring that identity controls, system configurations, access provisioning, and monitoring functions remain accurate, compliant, and highly reliable. The Expertise and Skills You Bring Minimum of 3 years of Top Secret Administration experience College Degree in Computer Science or another IT related field Preferred Coding/Scripting experience with JCL, Python, REXX, Unix Shell, SQL, and PHP Knowledge of Information Security Principles Preferred Experience in DevOps Knowledge of z/OS including security management with CA Top Secret Familiarity with CA Compliance Manager, CA Cleanup and CA Compliance Information Analysis products Self-starter with ability to work as part of a team as well as independently. Experience with IT troubleshooting skills Understand ITSM processes. In-depth understanding of mainframe system and the inter working components. Experience with cross platform technical skills (MVS, Cloud) Strong customer service skills, with the ability to work with development teams and individual users. Working as part of a rotational, on-call 24x7 team Forward thinking, continuous improvement mindset Provide reporting and data analysis to support the enterprise ITSM function. Develop and implement dashboards and data solutions to provide information across enterprise. Develop processes and standards and maintain KPI and process alignment. Define and continuously improve the audit process; monitor and review the execution of periodic audits. Train junior level staffing The Value You Deliver Protection of Mainframe Sensitive Customer and Corporate Data Support for critical Business Functions Compliance with Security standards Expert Access and Identity Control Operational Stability and Incident Support Preservation of a specialized skill in Mainframe Security Certifications: Category: Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

  • Merrimack, NH

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Principal Database Administrator

Job Description: Note: Fidelity will not provide immigration sponsorship for this position Principal Database Administrator, Workplace Investing Fidelity Investments Workplace Investing (WI) is actively seeking an experienced Database Administrator to help us drive strategic database initiatives in support of our business strategy both in the US and globally. This is a highly visible, dynamic role that will position us for the growth and scale we need as our businesses pro-actively adjust to the challenges in a highly competitive market. This role will be filled in Merrimack, NH. The Expertise We're Looking For 10 plus years performing Oracle 19c and 12g administration (SQL Server a plus) Expertise in Performance tuning, scripting and automation Expertise in Golden Gate replication on Oracle Real Application Clusters (RAC) Working hands-on knowledge/support of Postgres, Yugabyte, Aerospike, SQL MI, Snowflake a plus Significant background in solving complex technology challenges A strong background working in large-scale software projects Knowledge and expertise in cloud, hybrid cloud technology would be a real plus Our team supports a variety of complex applications serving a diverse set of businesses and customers directly. The database environments are extremely critical to our success and vitality which in turn requires a unique technical aptitude. The Purpose of Your Role As a Principal Database Administrator, you will provide technical vision and support over critical projects as part of our strategy to expand our database service offerings. You will be part of a broader team that maintains our overall technical strategy and integrated roadmap. The Skills You Bring Expertise analyzing, troubleshooting and performance tuning databases and SQL queries Expertise with Oracle Golden Gate, database replication and data movement strategies & tools Performing design evaluations/ recommendations for database migration strategies to the cloud Advanced communication skills both verbal and written Ability to operationalize solutions and ideas into standard operating procedures (SOP) The Value You Deliver Candidate must demonstrate the ability to visually present technical strategy & concepts Ensuring that technology solutions are aligned with our long-term architecture strategy Mentoring and developing more junior technical staff Your knowledge and experience expressed through insights, innovation and great ideas Certifications: Category: Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

  • Goffstown, NH

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Principal Engineer - Python API Development

Job Description: Note: Fidelity will not provide immigration sponsorship for this position. Principal Engineer - Python API Development The Role: As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production. You will take a hands on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads. The Expertise & Skills You Bring Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8 years (typically 10) building and operating production platforms and services at scale. Deep software engineering expertise in Python and distributed systems , with a track record of building production grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required . Familiarity with Java or Groovy is a plus. Knowledge or experience with GenAI Gateways or LiteLLM a big plus. Cloud platform leadership (AWS) -hands on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial. DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git based workflows), containerization (Docker), release governance, and multi environment promotion for ML enabled workloads. Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post mortems) for ML serving and data/feature pipelines. ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus. Cross org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes. Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units. Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production. Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services. Advance model/data observability-tooling for data and feature drift detection, prediction quality monitoring and uncertainty signals, and automated diagnostics/ explainability. Lead cross platform incident response and post mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform. Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale. Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long term platform roadmap. The Team The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale. In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Information Technology

  • Coppell, TX

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Senior Technology Risk Analyst - Controls CoE

Job Description: The Role Are you passionate about strengthening technology controls and influencing risk outcomes at enterprise scale? Do you thrive in complex environments where your judgment and expertise directly support audit, regulatory, and certification objectives? As a Senior Technology Risk Analyst, you will play a critical role in shaping how Fidelity evaluates and strengthens technology risk management across the organization. This role offers the opportunity to lead impactful testing efforts, collaborate with senior stakeholders, and continuously improve how we manage technology risk. Core responsibilities include: Leading and executing technology risk and controls testing activities supporting audit, regulatory, and certification requirements Assessing control design and operating effectiveness across complex, distributed, cloud, and vendor hosted environments Partnering with technology, risk, and audit teams to identifying, analyzing, and escalating control gaps and emerging risks Applying advanced risk judgment and analytical thinking to solving complex control and risk challenges Contributing to improving testing methodologies, automation approaches, and documentation quality Providing guidance and informal mentorship to less experienced analysts while supporting broader testing workstreams The Expertise and Skills You Bring You bring strong experience in technology risk, controls, or audit functions within complex organizations, along with the ability to independently evaluate control effectiveness and navigate ambiguity. You have a solid foundation in technology risk frameworks and testing methodologies and are comfortable partnering with senior stakeholders across technology, audit, and compliance. You communicate clearly, apply sound professional judgment, and leverage data and analytics to drive meaningful insights. Bachelor's degree in computer science, technology, or a related field (Master's degree preferred) 5 or more years of experience in technology risk, IT, cybersecurity, cloud, analytics, or audit roles Experience performing control assessments and evaluating control maturity across diverse technology environments Working knowledge of industry frameworks such as NIST, COBIT, AICPA Trust Services Criteria, ISO 27001, HITRUST, or similar Familiarity with cloud security models (AWS, Azure, SaaS, PaaS) and GRC platforms such as Archer (preferred) Professional certifications such as CISA, CISSP, CRISC, or CISM (nice to have, not required) Note: Fidelity will not provide immigration sponsorship for this position. The Team We are part of Fidelity's Enterprise Technology Risk organization, embedded within the broader Legal, Risk, and Compliance function. Our Technology Risk Controls Testing team exists to provide independent, objective assurance over the effectiveness of technology controls protecting our clients, employees, and brand. We work closely with Corporate Audit, Enterprise Compliance, Information Security, Operational Risk, and technology and business partners across Fidelity. Our team is built on collaboration, accountability, and a relentless commitment to risk excellence. We value diverse perspectives, continuous learning, and strong partnerships that help Fidelity remain resilient in an evolving technology landscape. We are committed to fostering an inclusive culture where our people are empowered to grow, contribute, and make a meaningful impact. Certifications: Category: Information Technology Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

  • Colleyville, TX

  • no content