Fidelity will not provide immigration sponsorship for this position.

Job Description:


The Role


As a Director, Systems Engineering within the EI DCS Infrastructure Solutions Engineering (ISE) team, you will lead the systems engineering, reporting, and AI-enabled software development that shape how Fidelity plans, builds, and operates its compute infrastructure. You will provide leadership, oversight, and direction to engineers and business partners designing compute and storage solutions to meet application and database needs, both on premises in Fidelity’s data centers (VMware, Oracle Linux Virtualization Manager (OLVM)) and in the public cloud (AWS, Azure), while following Fidelity’s strategic IT direction and approved engineered solutions.


This role blends technical leadership with hands-on technical depth. You will turn enterprise data from ServiceNow, Snowflake, Jira, and Tableau into actionable analysis for capacity planning, lifecycle and end-of-life (EOL) planning, provisioning quality, and cost optimization. You will also champion AI-assisted development, using tools such as GitHub Copilot, custom AI agents, and prompt engineering, to automate repeatable work, accelerate delivery, and raise the engineering standard across the team.


The Expertise and Skills You Bring


  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience
  • 10 plus years of technical and analytical experience in infrastructure engineering, with demonstrated achievements in server systems technologies, operating systems such as Linux and Windows, and virtualization platforms such as VMware, OLVM, and OpenStack
  • 3 plus years of experience providing technical leadership or mentoring to engineering teams, including globally distributed teams (formal people management experience is not required)
  • Proven systems analysis skills, including requirements gathering, capacity modeling, cost/benefit analysis, and turning complex data into clear recommendations.
  • Strong data and reporting skills, including SQL (Snowflake preferred), Excel, and visualization tools such as Tableau or Power BI
  • Hands-on software development experience in Python and/or PowerShell, including REST APIs, Git, and automated testing.
  • Practical experience applying AI to engineering work, such as AI coding assistants (GitHub Copilot), prompt engineering, and building agents or LLM-enabled workflows, with an understanding of responsible AI, data privacy, and security guardrails.
  • Experience with ServiceNow, Jira, and Confluence, and working knowledge of Agile/Scrum practices.
  • Hands-on understanding of DevOps practices, the software development lifecycle, and CI/CD processes
  • Knowledge of AWS and Azure common services, containerization (Docker, Kubernetes), infrastructure automation (Ansible/AWX), and cybersecurity in a hybrid cloud environment
  • Ability to think strategically, set technical direction, and manage multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication skills, with the ability to communicate with audiences ranging from engineers to senior executives.
  • Strong technical leadership, coaching, and interpersonal skills, with the ability to influence without direct authority.
  • Provide oversight of technical work, help shape sprint priorities, review designs and deliverables, and guide the team toward its delivery commitments.
  • Set technical direction and standards for engineered solutions, documentation, and automation, and drive adoption of modern engineering and AI practices across the team.
  • Audit and improve data quality and process integrity across server provisioning, CMDB, and change management workflows.
  • Query and analyze enterprise data sources (ServiceNow CMDB through Snowflake, Jira, Tableau) to produce dashboards, executive summaries, and data-driven recommendations.
  • Design, build, and maintain automation and tools in Python and PowerShell that integrate with REST APIs (ServiceNow, Jira, Confluence, Tableau, AWX/Ansible) to remove manual, repeatable work.
  • Lead AI-assisted development with GitHub Copilot and large language models (LLMs), including building custom agents, skills, instructions, and prompts that scale team productivity.

The Team


The Infrastructure Solutions Engineering (ISE) team within EI DCS designs and delivers the engineered compute solutions that host Fidelity’s applications and databases. We partner with application, architecture, and operations teams across the enterprise, and we use data, automation, and AI to deliver faster, higher-quality outcomes.

Fidelity’s Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

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.