Senior Platform Engineer

Wellington Management • Boston, MA

9d • Hybrid

About The Position

We’re seeking a hands-on engineer to help build and support infrastructure for our Generative AI (GenAI) enablement initiative. This role will initially focus on developing the centralized Model Context Protocol (MCP) server and contributing to the buildout of the AI Gateway—core components of our GenAI infrastructure. You’ll work closely with the Platform Engineering team, which provides the foundational platform services, and collaborate daily with the GenAI guild to support adoption and experimentation. This is not an AI modeling or research role, but a pragmatic full-stack DevOps engineering position focused on infrastructure, tooling, and enablement. This position requires a high level of collaboration and interaction with technology teams across the department, and an ability to deliver in a fast-paced and evolving environment. The individual must be a self-starter with the ability to multi-task and work on a variety of assignments with people at all levels of the organization.

Requirements

• Experience with Python and basic full-stack development.
• Familiarity with AWS services (EC2, IAM, CloudFormation) and SSO integration.
• Comfortable working in a DevOps-style role focused on infrastructure and tooling.
• Strong communication skills and a collaborative mindset.
• Ability to work effectively in a fast-evolving environment with emerging technologies.

Nice To Haves

• Exposure to GenAI platforms or IDE integrations (e.g., GitHub Copilot).
• Experience working with enablement or developer experience teams.
• Familiarity with MCP or other GenAI solutions and platforms.

Responsibilities

• Contribute to evolving GenAI infrastructure components such as centralized MCP server, agent orchestration frameworks, AI Gateway, prompt engineering utilities/toolchains etc.
• Work with the GenAI guild to identify practical use cases for GenAI tools, support onboarding sessions, office hours, internal demos, contribute to shared documentation, FAQs, and enablement playbooks.
• Partner with the Platform Engineering team to build out the centralized GenAI infrastructure.
• Assist engineering teams in experimenting with GenAI tools and environments.
• Troubleshoot integration issues and support early adopters.
• Own and maintain lightweight applications that demonstrate GenAI tool usage.
• Use Python and scripting tools to automate configuration, deployment, and monitoring tasks.
• Provide feedback to platform and strategy teams on tool performance, developer experience, and adoption blockers.

Benefits

• Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement an d paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees