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About the Role

Lead engineering on a multi-year program to modernize and migrate a large portfolio of middle-office applications to AWS. Own engineering delivery and an AI-augmented delivery model, using AI agents and assistants across discovery, code conversion, testing, and deployment to reduce cost and time, while maintaining control and quality standards.

Responsibilities

Lead the modernization engineering team rebuilding 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, collaborating with Architecture, Platform, Data, QE, and application support teams.
Lead the engineering aspects of cutover, parallel runs, and handover to run teams.
Design and run the program's agentic SDLC, including AI-assisted reverse engineering, spec generation, code conversion, test generation, and documentation.
Select, combine, and orchestrate AI tools based on evidence of effectiveness, 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.
Implement human review checkpoints, audit trails, and secure-coding gates on all AI-generated code, adhering to technology risk, information security, and model governance policies.
Ensure business rules extracted by AI are verified by subject-matter experts and confirmed through reconciliation before go-live.
Manage data classification and approved-tool usage for client and confidential data.
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.

Requirements

12+ years in software engineering, with 5+ years leading large engineering teams on complex modernization or cloud migration programs.
Strong hands-on background in Java/Spring Boot, microservices, REST, 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.
AWS Professional-level or equivalent certification.
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.
Decisive and comfortable with ambiguity.
Credible in code reviews and with senior stakeholders.
Ability to drive adoption of new ways of working while maintaining resilience and trust.

Skills

Java/Spring Boot
Microservices
REST
Kafka/IBM MQ
AWS (ECS/EKS, IAM, networking)
AI coding assistants
AI agents
CI/CD
DevSecOps
Secrets management (Vault/CyberArk)
Observability
Investment servicing
Middle-office areas
MCP servers
Knowledge graphs
Retrieval-augmented context

Location

Hybrid

Work Type

Hybrid
Full-time

Experience Level

Senior
Lead

Education Level

AWS Professional-level or equivalent certification

Salary/Compensations

$120,000 - $217,500 Annual

Benefits

Retirement savings plan (401K) with company match
Medical, dental, and vision insurance
Basic life insurance
Long-term disability insurance
Optional additional coverages
Paid-time off (vacation, sick leave, short term disability, family care)
Employee Assistance Program
Incentive compensation (annual performance-based awards)
Tax-advantaged savings plans
Inclusive development opportunities
Flexible work-life support
Paid volunteer days
Vibrant employee networks

About the Company

Institutional investors rely on State Street to help them manage risk, respond to challenges, and drive performance and profitability.
State Street is committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
Employees benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks.

Equal Opportunity

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.
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.