Tech Lead (Full Stack), Vice President

State Street • Quincy, MA

6d • Hybrid

About The Position

State Street is seeking a Tech Lead (Full Stack) to lead engineering for a multi-year programme modernizing and migrating a large portfolio of middle-office applications to AWS. The portfolio includes cloud-native rebuilds, like-for-like migrations, and application retirements. The role owns engineering delivery and an AI-augmented delivery model that uses AI agents and assistants throughout discovery, code conversion, testing, and deployment, while maintaining the control and quality standards required of a global custodian.

The role leads a team rebuilding critical middle-office applications as cloud-native AWS services; establishes engineering standards; and owns technical plans, estimates, release quality, cutover, parallel runs, and handover to run teams. It also designs and operates the programme's agentic software development lifecycle, develops reusable agent workflows and knowledge context, and measures AI productivity and quality. The Tech Lead establishes review checkpoints, audit trails, secure-coding gates, business-rule validation, data classification, and approved-tool usage in line with State Street policies.

The position hires, coaches, and develops a permanent cloud-native engineering team, builds AI fluency, manages vendor and temporary capacity, and transfers knowledge to permanent staff. The role is hybrid, with a minimum of four days in the office, and the stated hours are 8:00 AM to 5:00 PM. The listed annual salary range is $120,000 to $217,500.

Requirements

• 12 or more years of software engineering experience.
• 5 or more years leading large engineering teams on complex modernization or cloud migration programmes.
• Strong hands-on background in Java, Spring Boot, microservices, REST, messaging such as Kafka or IBM MQ, and AWS, including ECS/EKS, IAM, and networking.
• Practical experience using AI coding assistants and agents in delivery, with measurable results.
• Experience migrating legacy stacks such as COBOL, C/C++, PowerBuilder, or Sybase to modern platforms, including database migration to Oracle.
• Working knowledge of CI/CD and DevSecOps, such as Harness or similar, secrets management such as Vault or CyberArk, and observability.
• Experience delivering in a regulated financial services environment with strong change and control requirements.

Nice To Haves

• Knowledge of investment servicing or middle-office areas, including trade capture, confirmation, settlement, collateral, reconciliation, or investment accounting.
• Experience building MCP servers, knowledge graphs, or retrieval-augmented context for engineering agents.
• AWS Professional-level or equivalent certification.

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 using Kafka or MQ, containerization using ECS or EKS, and Oracle data design.
• Own technical delivery plans, estimates, and release quality in collaboration with Architecture, Platform, Data, QE, and existing application support teams.
• Lead engineering for cutover, parallel runs, and handover to run teams.
• Design and operate the programme's agentic SDLC, including AI-assisted legacy-code reverse engineering, specification generation, code conversion, test generation, and documentation.
• Select, combine, and orchestrate AI tools and agent frameworks based on evidence of effectiveness.
• Build reusable agent workflows, prompt libraries, and knowledge context, including codebase knowledge graphs, vector databases, and MCP integrations.
• Track and report AI productivity and quality, including throughput, defect rates, rework, and cost per migrated application.
• Establish human-review checkpoints, audit trails, and secure-coding gates for AI-generated code in accordance with technology risk, information security, and model governance policies.
• Ensure AI-extracted business rules are checked 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 wider organization.
• Manage vendor and temporary capacity, and transfer knowledge to permanent staff.

Benefits

• 401(k) retirement savings plan with company match.
• Insurance coverage including basic life, medical, dental, vision, long-term disability, and optional additional coverages.
• Paid time off including vacation, sick leave, short-term disability, and family-care responsibilities.
• Access to an Employee Assistance Program.
• Incentive compensation, including eligibility for annual performance-based awards, with certain sales-role exceptions.
• Eligibility for certain tax-advantaged savings plans.
• Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed