Role purposeYou'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 responsibilitiesEngineering leadershipLead 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 deliveryDesign 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 governancePut 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 capabilityHire, 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
Tech Lead (Full Stack), Vice President in Kennington employer: State Street Bank
State Street Global Technology Services is an exceptional employer that prioritises employee growth and inclusivity, offering a dynamic work environment in London. With a strong commitment to professional development, flexible work-life balance, and vibrant employee networks, we empower our team members to thrive while driving impactful change in the financial services sector. Join us to be part of a culture that values collaboration, accountability, and innovation, ensuring that every voice is heard and every contribution matters.
