Lead Software Engineer

About Us

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

About the Role

Lead Software Engineer

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.

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

Qualifications

• 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).
• 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.

Preferred Attributes

• 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.

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 120,000 - 225,000
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/CFA reimbursement 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.