Sr Software Engineer

Wellington Management•Boston, MA

22h•Hybrid

About The Position

Wellington Management is seeking a Senior Software Engineer to join its Investor Modeling team and apply technical skills to make investment processes more effective. The role sets technical direction and leads the design and evolution of Python-based modeling services and dashboard applications across the full stack, including front-end, services, and data layers. The engineer will also help integrate AI-assisted development practices and emerging technologies into investor-facing workflows and tools. The position combines hands-on full-stack delivery with architectural leadership. The successful candidate will shape architecture, standardize libraries and frameworks, and raise the technical bar for engineers working in the Python and dashboard space. The role involves collaborating with technology and investment professionals to solve data-driven challenges, operating with minimal oversight, and mentoring colleagues. Wellington Management offers a comprehensive benefits package and a flexible work environment. Employees work from the office four days a week and may work remotely one day a week.

Requirements

At least 7 years of experience designing and developing durable, impactful software solutions.
Comfort with SDLC tools, 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; ability to ramp up on internal Python dashboard and data-access frameworks.
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, effective communication with technical and non-technical audiences, and strong follow-through.
Strong analytical and problem-solving skills; 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 degree in Computer Science, Engineering, Mathematics, Economics, or a related field, or equivalent practical experience.

Nice To Haves

Hands-on experience developing with generative AI.
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 tools.
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 throughout 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, vision, and pharmacy coverage.
Health savings account and flexible spending accounts.
Commuter program.
Employee assistance program.
Life and disability insurance.
Adoption assistance.
Back-up childcare.
Tuition/CFA reimbursement.
Paid time off, including leave of absence, paid holidays, volunteer, sick, and vacation time.
Employees are eligible for salary, variable compensation, and benefits; other rewards may include a discretionary Corporate Bonus and/or incentives, if eligible.
Flexible work environment: four days a week in the office with flexibility to work remotely one day a week.