State Street
Tech Lead (Full Stack), Vice President
- Compensation
- $120K–$217.5K
- Location
- Quincy, Massachusetts
- Work setup
- Hybrid
- Seniority
- C level
- Employment
- Contract
- Experience
- 5+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 12+ years in software engineering, with 5+ years leading large engineering teams on complex modernization or cloud migration programmes.
- Strong hands-on background in Java/Spring Boot, microservices, REST and messaging (Kafka/IBM MQ) and AWS (ECS/EKS, IAM, networking).
- Proven, practical experience using AI coding assistants and agents in delivery, with measurable results.
- Experience migrating legacy stacks (e.g. COBOL, C/C++, PowerBuilder, Sybase) to modern platforms, including database migration to Oracle.
- Working knowledge of CI/CD and DevSecOps (Harness or similar), secrets management (Vault/CyberArk) and observability.
- Experience delivering in a regulated financial services environment with strong change and control requirements.
Nice to have
- Knowledge of investment servicing or middle-office areas: trade capture, confirmation, settlement, collateral, reconciliation, investment accounting.
- Experience building MCP servers, knowledge graphs or retrieval-augmented context for engineering agents.
- AWS Professional-level or equivalent certification.
Full description
Role purpose
You'll lead engineering on a multi-year programme to modernize and migrate a large portfolio of middle-office applications to AWS. The portfolio covers cloud-native rebuilds, like-for-like migrations and retirements. You'll own engineering delivery and the AI-augmented delivery model: using AI agents and assistants across discovery, code conversion, testing and deployment to cut cost and time. You'll keep the control and quality standards a global custodian needs.
Key responsibilities
Engineering leadership
- Lead the modernization engineering team that rebuilds critical middle office applications as cloud-native services on AWS.
- Set engineering standards for microservices, event-driven integration (Kafka/MQ), containerization (ECS/EKS) and Oracle data design.
- Own technical delivery plans, estimates and release quality, working with Architecture, Platform, Data, QE and the existing application support teams.
- Lead the engineering side of cutover, parallel runs and handover to run teams.
AI-augmented delivery
- Design and run the programme's agentic SDLC: AI-assisted reverse engineering of legacy code, spec generation, code conversion, test generation and documentation.
- Choose, combine and orchestrate AI tools (for example GitHub Copilot, Devin, Blitzy and agent frameworks) based on evidence of what works, not tool preference.
- Build reusable agent workflows, prompt libraries and knowledge context (codebase knowledge graphs, vector databases, MCP integrations).
- Track AI productivity and quality (throughput, defect rates, rework, cost per migrated application) and report outcomes to leadership.
Risk, controls and governance
- Put human review checkpoints, audit trails and secure-coding gates on all AI-generated code, in line with State Street technology risk, information security and model governance policies.
- Make sure business rules extracted by AI are checked by subject-matter experts and confirmed through reconciliation before go-live.
- Handle data classification and approved-tool usage for client and confidential data.
People and capability
- Hire, coach and grow a permanent cloud-native engineering team, and build AI fluency across the team and the wider organization.
- Manage vendor and temporary capacity, and transfer knowledge to permanent staff.
Required experience and skills
- 12+ years in software engineering, with 5+ years leading large engineering teams on complex modernization or cloud migration programmes.
- Strong hands-on background in Java/Spring Boot, microservices, REST and messaging (Kafka/IBM MQ) and AWS (ECS/EKS, IAM, networking).