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State Street

Holds assets for institutions and runs index funds

Technical Lead Full Stack

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

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

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, working with Architecture, Platform, Data, QE, and existing application support teams.
  • Lead the engineering side of cutover, parallel runs, and handover to run teams.
  • Design and run the programme's agentic software development lifecycle, including AI-assisted legacy-code reverse engineering, specification generation, code conversion, test generation, and documentation.
  • Select, combine, and orchestrate AI tools, including GitHub Copilot, Devin, Blitzy, 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 AI productivity and quality, including throughput, defect rates, rework, and cost per migrated application, and report outcomes to leadership.
  • Establish human-review checkpoints, audit trails, and secure-coding gates for AI-generated code in line with technology risk, information security, and model governance policies.
  • Ensure 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.
  • 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.

Desired Qualifications

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

About the Company

State Street

Holds assets for institutions and runs index funds

State Street holds and services investments for pension funds, insurers, fund companies, and other large institutions, and it also runs index funds through State Street Investment Management. It launched the first US-listed exchange-traded fund, the SPDR S&P 500 ETF Trust, in 1993, and in 1924 it became custodian of the first US mutual fund. As a custody bank, it safekeeps clients' stocks and bonds, completes their trades, calculates what their funds are worth, and lends their securities to other investors. It earns fees on the assets it services and manages, plus income from currency trading and from interest on client cash. State Street traces its roots to a bank chartered in 1792 and is based in Boston, Massachusetts.

Company size
10,001+
Company stage
IPO
Headquarters
Boston, MA
Founded
1792

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