Sr Software Engineer

Join the Investor Modeling team at Wellington Management and help evolve Python-based modeling services and dashboard applications used in investor-facing workflows. This onsite role in Boston, MA blends hands-on full-stack delivery with technical leadership, including standards for libraries, frameworks, and tooling. You will also integrate AI-assisted development practices and emerging technologies into day-to-day work while supporting production reliability through data quality checks, alerting, and on-call.

Compensation: base salary range USD 90,000 - 180,000 per year, plus eligibility for variable compensation and a discretionary Corporate Bonus with additional incentives, if eligible.

How this role supports your work

• High-value benefits including health, wellbeing, retirement, and insurance programs
• Time and support with paid time off, employee assistance program, and life and disability insurance
• Growth options with tuition/CFA reimbursement and adoption assistance
• Work model built for collaboration: employees work from offices 4 days a week with flexibility to work remotely 1 day a week

Responsibilities

• Design, develop, test, deploy, and support investment modeling applications across the full stack (services, web, infrastructure, back-end), including prototyping new components and optimizing for performance and maintainability
• Set technical direction for the team’s Python and dashboard stack, evaluating and standardizing libraries, frameworks, and tooling
• Lead design reviews and provide architectural guidance to other engineers
• Integrate AI-driven capabilities into investment applications to improve workflows and decision-making
• Partner with business analysts, QA engineers, and investment professionals through requirements, testing, and user acceptance lifecycle
• Manage and communicate delivery timelines, providing status updates and escalating risks proactively
• Author and maintain technical design and support documentation
• Support production systems through data quality checks, alerting, and on-call participation

What you bring

• 7+ years of experience designing and developing durable, impactful software solutions
• Comfort with SDLC tooling: issue tracking (JIRA), source control (Git), CI/CD (Jenkins / GitHub Actions), and AWS
• Demonstrated use of AI-assisted development tools such as GitHub Copilot and Claude Code in daily workflows
• Hands-on GenAI development experience is a strong plus
• Proficiency in Python, including data-oriented libraries such as pandas and NumPy, SQLAlchemy (or similar ORM), and a plotting/visualization library such as Bokeh
• Ability to ramp up on internal Python dashboard and internal data-access libraries during onboarding
• Experience providing technical leadership, including architecture/design discussions, evaluating and standardizing libraries and frameworks, or mentoring engineers
• Experience building production front-end applications with React, HTML, and CSS, and consuming GraphQL and/or REST APIs
• Experience writing SQL and working with relational databases such as PostgreSQL and Oracle
• Experience with NoSQL databases such as MongoDB and DocDB
• Experience working in a DevOps environment and applying Agile methodologies and modern testing practices
• Excellent written and verbal communication skills, including communicating across technical and non-technical audiences, with strong follow-through
• Strong analytical and problem-solving skills, able to work independently and collaboratively, manage competing priorities, and deliver in a fast-paced, business-critical environment
• Prior experience in financial services or asset management is preferred
• BS or BA in Computer Science, Engineering, Mathematics, Economics, or related field, or equivalent practical experience

Core stack

• Python, pandas, NumPy, SQLAlchemy, Bokeh
• React, HTML, CSS, GraphQL, REST APIs
• JIRA, Git, Jenkins, GitHub Actions, AWS
• GitHub Copilot, Claude Code, GenAI
• PostgreSQL, Oracle, MongoDB, DocDB
• DevOps, Agile

Education

BS or BA degree in Computer Science, Engineering, Mathematics, Economics, or a related field, or equivalent practical experience.

Benefits

• Comprehensive and high value benefit package
• Retirement plan
• Health and wellbeing, dental coverage, vision coverage, 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
• Paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
• Incentives, if eligible; discretionary Corporate Bonus

If you believe you can excel in this role, apply and share a chance to review your background.