Senior Platform Engineer

Job description

About the Role

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.
 

Key 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.
 

Keys to the Position

DevOps Engineering Expertise: Proven experience in a DevOps-style role focused on infrastructure, tooling, and enablement—ideally supporting emerging technologies like Generative AI.

Python Proficiency: Strong hands-on experience with Python for scripting, automation, and lightweight application development.

Cloud Infrastructure Knowledge: Familiarity with AWS services (e.g., EC2, IAM, CloudFormation) and SSO integration; able to contribute to decisions around authentication, hosting, and deployment architecture.

Platform Enablement Mindset: Demonstrated ability to build centralized infrastructure and reusable components (e.g., MCP server, AI Gateway) that accelerate development across multiple teams.

Collaboration & Communication: Excellent interpersonal and communication skills; comfortable working cross-functionally with platform teams, engineering guilds, and early adopters to support onboarding, troubleshooting, and enablement.

Standardization & Scalability Focus: Passion for creating standardized, secure, and scalable solutions that reduce duplication and improve developer experience across the organization.

GenAI Exposure (Nice to Have): Familiarity with GenAI tools or IDE integrations (e.g., GitHub Copilot) and experience supporting developer experimentation and adoption.

Location Flexibility: Preferred location is Boston or Needham, with flexibility depending on candidate fit and team needs.

NYC will work as well.


 

Qualifications

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 Have

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.

Not sure you meet 100% of our qualifications?

That’s ok.

If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background.

We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law.

If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at .

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry.

We strive to pay employees fairly and competitively across all levels and roles.

Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits.

The base salary range for this position is:

USD 80,000 - 180,000

This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education.

This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.

Base salary is only one component of Wellington’s total compensation approach.

Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible.

In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally.

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/CFAreimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)

We believe that in person interactions inspire and energize our community and are essential to our culture.

In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week.

We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.

Required Skill Profession

Computer Occupations