Sr Software Engineer

Wellington Management•Boston, MA
•$90,000 - $180,000•Hybrid

About The Position

Wellington Management is seeking a Senior Software Engineer to join its Investor Modeling team. The role applies technical skills to improve investment processes and involves setting technical direction and leading the design and evolution of Python-based modeling services and dashboard applications across the front end, services, and data layer. The engineer will help integrate AI-assisted development practices and emerging technologies into investor-facing workflows and tools. The role also shapes architecture, standardizes libraries and frameworks, and raises the technical bar for engineers working in the Python and dashboard space. The ideal candidate brings hands-on full-stack delivery experience and the judgment to make architectural and technology choices with minimal oversight, while mentoring others. The position is based at 280 Congress. Wellington employees work from offices four days a week and may work remotely one day a week. The stated base salary range is USD 90,000–180,000. Compensation may also include a discretionary corporate bonus and/or incentives, if eligible. The company describes a comprehensive benefits package and a flexible work environment.

Requirements

  • At least 7 years of experience designing and developing durable, impactful software solutions.
  • Comfort with SDLC tooling, including JIRA, Git, Jenkins or GitHub Actions, and AWS; demonstrated daily use of AI-assisted development tools such as GitHub Copilot or Claude Code.
  • Proficiency in Python and hands-on experience with data-oriented libraries such as pandas and NumPy, SQLAlchemy or a similar ORM, and a plotting or visualization library such as Bokeh.
  • Experience providing technical leadership, such as leading architecture or design discussions, evaluating or standardizing libraries and frameworks, or mentoring engineers.
  • Experience building and maintaining production front-end applications using React, HTML, and CSS, including consuming GraphQL and/or REST APIs.
  • Experience writing SQL and working with relational databases such as PostgreSQL or Oracle.
  • Experience working in a DevOps environment.
  • Experience with Agile methodologies and modern software development and testing practices.
  • Excellent written and verbal communication skills, including communicating effectively with technical and non-technical audiences and strong follow-through.
  • Strong analytical and problem-solving skills, with the ability to work independently and collaboratively, manage competing priorities, and deliver in a fast-paced, business-critical environment.
  • Bachelor of Science or Bachelor of Arts in Computer Science, Engineering, Mathematics, Economics, or a related field, or equivalent practical experience.

Nice To Haves

  • Hands-on Generative AI development experience.
  • Experience with NoSQL databases such as MongoDB or DocDB.
  • Prior experience in financial services or asset management.

Responsibilities

  • Design, develop, test, deploy, and support investment modeling applications across services, web, infrastructure, and back-end systems; prototype components and optimize existing systems for performance and maintainability.
  • Set technical direction for the team's Python and dashboard stack, including evaluating, standardizing, and recommending 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 across requirements, testing, and user acceptance.
  • Manage and communicate delivery timelines, provide status updates, and proactively escalate risks.
  • Author and maintain technical design and support documentation.
  • Support production systems through data quality checks, alerting, and on-call participation.

Benefits

  • Retirement plan
  • Health and wellbeing coverage
  • Dental coverage
  • Vision coverage
  • Pharmacy coverage
  • Health savings account
  • Flexible spending accounts
  • Commuter program
  • Employee assistance program
  • Life insurance
  • Disability insurance
  • Adoption assistance
  • Back-up childcare
  • Tuition/CFA reimbursement
  • Paid time off, including leave of absence, paid holidays, volunteer, sick, and vacation time
  • Discretionary corporate bonus and/or incentives, if eligible
  • Flexible work environment
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