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Lead Full Stack Engineer
State Street. Lead engineering on a multi-year programme modernizing and migrating middle-office applications to AWS .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in leading modernization and cloud migration initiatives, with a strong focus on ReactJS development, CI/CD practices, and AI integration. Proven ability to manage engineering teams, establish technical standards, and ensure quality delivery in regulated financial services environments.
Highest-signal resume keywords
ReactJS DevelopmentAWS Cloud MigrationCI/CD ImplementationAI Coding AssistantsTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
TypeScriptNodeJSDevOps PipelinesTerraformDockerKubernetesAutomated TestingLegacy Code Reverse-EngineeringComponent DesignData-Heavy Enterprise UIs
Soft Skills
CoachingKnowledge TransferCollaborationProblem-SolvingCommunication
Tools & Technologies
NpmPnpmHarnessJenkinsGitHub ActionsJestReact Testing LibraryAWS Managed ServicesSecrets ManagementObservability Tools
Certifications & Qualifications
AWS Professional-Level Certification
Industry Keywords
Financial ServicesMiddle-Office ApplicationsInvestment ServicingRegulated EnvironmentCloud Migration
Tech Stack
Tools & technologiesAWSCloudDockerGWTJenkinsJestKubernetesNode.jsReactReduxTerraformTypeScript
About the role
Key responsibilities & impact- Lead engineering on a multi-year programme modernizing and migrating middle-office applications to AWS
- Write production code primarily for ReactJS front ends, TypeScript, NodeJS, npm/pnpm, and DevOps pipelines
- Build ReactJS front ends replacing legacy desktop and GWT/PowerBuilder UIs
- Implement state management, component libraries, SSO/MFA integration, and accessibility
- Build and maintain CI/CD pipelines, infrastructure-as-code, containerization, secrets management, and observability
- Create reference implementations, templates, and starter projects for teams and AI agents
- Conduct daily code reviews, pair with engineers, and debug production issues
- Lead the modernization engineering team and establish architecture, code quality, testing, and release standards
- Own technical delivery plans, estimates, release quality, cutover, parallel runs, and handover to run teams
- Use AI tools and agents to accelerate discovery, code conversion, testing, and deployment
- Build agent workflows, prompt libraries, and codebase knowledge context
- Apply AI to reverse-engineer legacy code, generate specifications, convert code, and generate tests
- Track AI productivity and quality metrics and report outcomes to leadership
- Implement human review checkpoints, audit trails, and secure-coding gates for AI-generated code
- Ensure AI-extracted business logic is validated by subject-matter experts and reconciled before go-live
- Hire, coach, and grow a permanent full-stack engineering team
- Build AI fluency across the team and manage vendor and temporary capacity
- Ensure knowledge transfer to permanent staff
Requirements
What you’ll need- 12+ years in software engineering and still actively coding
- 5+ years leading engineering teams on modernization or cloud migration programmes
- Strong modern ReactJS skills, including hooks, TypeScript, Redux or similar, component design, Jest/React Testing Library, and data-heavy enterprise UIs
- Practical experience with CI/CD using Harness, Jenkins, or GitHub Actions
- Experience with Terraform, Docker, Kubernetes/ECS/EKS, Git workflows, automated testing, and quality gates
- AWS experience covering compute, networking, IAM, managed services, and HA/DR design
- Proven hands-on use of AI coding assistants and agents with measurable results
- Ability to read and reverse-engineer legacy code
- Experience delivering in a regulated financial services environment
- Knowledge of investment servicing or middle-office areas preferred
- Experience building MCP servers, knowledge graphs, or retrieval-augmented context for engineering agents preferred
- AWS Professional-level or equivalent certification preferred
Benefits
Comp & perks- Inclusive development opportunities
- Flexible work-life support
- Paid volunteer days
- Vibrant employee networks