As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
About the Team:
The Investments Technology – Vision Platform team builds and operates a mission‑critical system that supports portfolio construction, investment analytics, and model delivery for Invesco’s Solutions Investment Center. The platform is used across multi‑asset, quantitative, and custom investment strategies and plays a key role in how investment decisions are designed and delivered to clients. The team partners closely with investment professionals, quants, and data teams to translate complex investment workflows into scalable, secure, and reliable technology. With engineers based in Boston, Atlanta, and Hyderabad, the team focuses on strong architectural ownership, modern cloud‑native engineering practices, and continuous improvement through automation and AI‑accelerated development.
Responsibilities of the Role:
Own the Vision technical roadmap: set architectural direction, prioritize platform investments, and align with business outcomes in Asset Allocation, Custom Equities/Indexes, Global & Quant Strategies.
Lead a high‑performing engineering team: hire, mentor, and manage engineers; establish clear goals; ensure reliable, predictable delivery.
AI‑accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‑generated code.
API & data platform leadership: own domain services, API design & caching, and high‑scale ETL (e.g., Morningstar, MSCI ESG, Aladdin, Bloomberg, RIMES) with strong SLAs, observability, and governance.
Quality & reliability: raise the bar on unit/integration testing, CI/CD, rollout/rollback patterns, SLOs, on‑call hygiene, and incident postmortems.
Cloud cost & performance (FinOps): drive right‑sizing, archiving, workload scheduling, and cost observability to continuously reduce $/feature.
Security & compliance: ensure platform and AI usage adhere to enterprise security, privacy, and model‑risk standards.
Stakeholder partnership: collaborate with investment professionals, research, data, and product to translate business intent into technical outcomes.
SRE collaboration: partner with the SRE Manager on reliability, infra automation, and uniform standards across environments.
Roadmap transparency: maintain a clear backlog, delivery plan, and communication cadence to business partners and leadership.
Requirements of the Role:
10+ years in software engineering with 3–5+ years leading teams as an engineering manager or senior manager delivering cloud‑native platforms.
Proven system design expertise (distributed systems, data pipelines, eventing, caching, API patterns) and experience running mission‑critical services in production.
AI‑assisted development fluency: daily use of AI tools for coding, test generation, refactoring, documentation, and design exploration—plus the ability to evaluate/correct AI‑generated code for security, performance, and maintainability.
Hands‑on depth in Python (data/ETL frameworks, performance profiling), datastores (SQL + NoSQL), and cloud (AWS) including containerization (Docker) and CI/CD.
Track record improving observability (logging, metrics, tracing), testing culture, and release safety (feature flags, canaries, rollbacks).
Strong stakeholder communication; able to translate investment workflows into reliable, scalable technical solutions.
Experience with LLM/AI service integration (e.g., AWS Bedrock, Anthropic Claude, OpenAI APIs), retrieval/embeddings, and prompt engineering patterns in real products.
Familiarity with fin/quant data and portfolio analytics; comfort partnering with research and data science.
Background with FinOps tooling and cost‑aware architecture.
Masters in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferred
CFA, CPA, CIPM, CAIA, and/or FRM preferred, but not required.
The salary range for this position in Boston, MA is $185,000 - $195,000 year. The total compensation offered for this position includes salary and incentive pay and will vary based on skills, experience and location
Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.
The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.
Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.