Job Description
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
Senior Software Engineer
POSITION
We are seeking a Senior 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 hands-on engineer responsible for 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
- 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.
- Implement cloud-native systems on AWS, ensuring strong security, scalability, cost efficiency, and operational resilience.
- Follow engineering best practices including CI/CD, automated testing, observability, infrastructure-as-code, and documentation standards.
- Participate in technical design discussions, conduct code reviews 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.
Qualifications
- 5–10+ 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
- 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.
- 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.
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 [email protected].
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 80,000 - 150,000This 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.
VEVRAA Federal Contractor.
We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.
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
Senior Software Engineer
POSITION
We are seeking a Senior 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 hands-on engineer responsible for 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
- 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.
- Implement cloud-native systems on AWS, ensuring strong security, scalability, cost efficiency, and operational resilience.
- Follow engineering best practices including CI/CD, automated testing, observability, infrastructure-as-code, and documentation standards.
- Participate in technical design discussions, conduct code reviews 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.
Qualifications
- 5–10+ 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
- 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.
- 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.
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 [email protected].
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 80,000 - 150,000This 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.
VEVRAA Federal Contractor.
We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.
About Wellington Management
For almost 100 years, we have chosen to do things differently, including the way we structure our ownership model, organization, and investment platform. Critically, we know that the best investment ideas are found when a diverse workforce is encouraged to bring forward unique perspectives.
Wellington Management is one of the world’s largest independent investment management firms, serving as a trusted adviser to over 2,400 clients in more than 60 countries. We manage more than US$1 trillion for pensions, endowments and foundations, insurers, family offices, fund sponsors, global wealth managers, and other clients. As a private partnership whose only business is investment management, we are able to align our long-term views and interests with those of our clients.
We offer comprehensive investment management capabilities that span nearly all segments of the global capital markets, including global equity, fixed income, currency, commodity, alternatives, and private markets. Leveraging more than 900 investment professionals located in offices around the world, we combine independent insights across asset classes, skill sets, and investment disciplines to uncover ideas for our clients, because we believe collaboration is a rare, repeatable competitive edge.
This independent structure and collegial culture are two of the main reasons investment professionals join Wellington Management — and stay for their entire careers.
For current open opportunities, please visit www.wellington.com/joinus
We are an equal opportunity employer and are committed to having a diverse workforce.
Please visit http://www.wellington.com to learn more about our firm.
Important disclosure: https://www.wellington.com/en/important-disclosure
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