Job 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). 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. Preferred 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. Success measures (first 12–18 months) An AI-augmented delivery model running across the programme, with productivity gains measured against a baseline. Modernization releases delivered to plan, with no material production incidents at cutover. A permanent engineering team in place, able to run and evolve the new cloud-native platform. No audit or control findings related to how AI is used in delivery. Leadership attributes You make decisions and are comfortable with ambiguity. You re credible both in code reviews and in front of senior stakeholders. You ll drive adoption of new ways of working while keeping State Street s bar for resilience and trust. Work Requirement Hybrid with minimum 4 days in office 8:00 AM to 5 PM Salary Range: $120,000 - $217,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit hrportal.ehr.com . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Must-haves

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).
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-haves

Preferred Knowledge of investment servicing or middle-office areas: trade capture, confirmation, settlement, collateral, reconciliation, investment accounting.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsaigojavarestci/cd

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k