Lead Software Engineer

Wellington Management • Boston, MA

22d • Hybrid

About The Position

We are seeking a Lead Software Engineer to design and deliver AI-enabled software solutions that directly support our Investment and Research teams. This role is focused on building robust, production-grade backend systems and platforms that integrate advanced analytics and AI capabilities into investment workflows. You will serve as a senior technical leader and hands-on engineer responsible for architecting, implementing, and scaling applications that leverage modern AI technologies while adhering to high standards of reliability, security, and performance. The ideal candidate is a strong backend engineer with platform instincts, capable of translating ambiguous business problems into well-designed systems and production-ready software. This is a high-impact role at the intersection of engineering, data, and investment research.

Requirements

• 8–12+ years of professional software engineering experience, with a strong focus on backend systems and platforms.
• Proven experience building and operating production-grade applications and platforms in Python (preferred), or similar backend languages.
• Deep understanding of API design (REST/GraphQL), microservices architecture, event-driven systems, and asynchronous processing patterns.
• Hands-on experience with AWS services such as EC2, ECS, Lambda, S3, DynamoDB, CloudWatch, IAM, and CloudFormation or Terraform. Experience with Azure is a plus.
• Experience integrating AI/ML capabilities into production systems, including: Working with LLM APIs and prompt engineering. Retrieval systems (e.g., vector databases). Model evaluation, monitoring, and governance considerations.
• Strong knowledge of data storage technologies (relational and NoSQL), caching layers, and performance optimization techniques.
• Experience implementing CI/CD pipelines and infrastructure-as-code using modern DevOps tooling.
• Familiarity with containerization (Docker) and orchestration platforms (ECS, EKS, or Kubernetes).

Nice To Haves

• Exposure to frontend technologies (e.g., React, TypeScript) is a plus, but not required.
• Experience in financial services, asset management, or capital markets is strongly preferred.
• Demonstrated ability to lead technical delivery, mentor engineers, and influence architectural direction.
• Strong systems thinking and architectural rigor.
• Ability to operate effectively in ambiguous, research-driven environments.
• Clear communicator capable of bridging technical and investment domains.
• High standards for code quality, documentation, and operational excellence.
• Pragmatic approach to applying AI—balancing innovation with reliability, compliance, and risk management.

Responsibilities

• Lead the architecture, design, and implementation of AI-enabled applications and services supporting investment and research workflows.
• Build and maintain scalable backend systems, APIs, and data pipelines that integrate AI models, LLMs, and analytics services into business processes.
• Partner directly with investment professionals, research analysts, and product stakeholders to translate complex domain requirements into robust technical solutions.
• Design cloud-native systems on AWS, ensuring strong security, scalability, cost efficiency, and operational resilience.
• Establish engineering best practices including CI/CD, automated testing, observability, infrastructure-as-code, and documentation standards.
• Drive technical design discussions, conduct code reviews, and mentor engineers to elevate overall code quality and system design maturity.
• Evaluate and incorporate emerging AI technologies (e.g., LLMs, retrieval-augmented generation, model APIs, vector databases) where appropriate, with careful attention to governance, explainability, and limitations.
• Improve and modernize existing platforms to increase performance, maintainability, and extensibility.
• Collaborate with data engineering and infrastructure teams to ensure seamless integration across systems.
• Provide strong leadership and mentorship of other members of the team

Benefits

• 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.
• 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/CFA reimbursement and 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: 501-1,000 employees