Senior Full Stack Developer - AI & Developer Productivity

Day-to-day you will:

Collaborate with Product, UX, QA, and Platform to translate requirements into testable, shippable increments.

Implement, test, and operate client-facing Angular frontend.

Design and implement REST/GraphQL APIs and backend business logic; ensure observability, resiliency, and performance tuning.

Integrate, evaluate, and govern AI-assisted developer tools (code generation, review helpers, test generators); validate outputs and embed guardrails.

Build and maintain CI/CD pipelines, Infrastructure-as-Code, and deployment automation.

Participate in on-call rotations and incident response; create runbooks and health checks to ensure operational readiness.

Technical Strategy & Platform Modernization — Contribute to technical planning and delivery for the APT application: translate product priorities into executable work, identify modernization opportunities, balance delivery velocity with maintainability, and collaborate with architects and platform teams to align solutions with enterprise standards.

Full Stack Development & Delivery — Architect, implement, test, and operate advisor-facing Angular frontends and backend services using Java/Spring Boot and Node.js;deliver production-ready code, automated tests (unit, integration, end-to-end), and reliable deployments.

AI-Enabled Engineering — Use and contribute to AI-assisted workflows (LLMs, code-assist tools, prompt templates, CI checks) to accelerate requirements synthesis, scaffolding, code reviews, automated test generation, and documentation while ensuring human validation, security, and traceability. Identify and socialize reusable AI capabilities (domain skills, plugins, prompts, workflows, guardrails); obtain technical leadership alignment and drive adoption for secure, consistent delivery. Continuously evaluate emerging AI technologies and identify opportunities to improve software quality, accelerate delivery, and modernize legacy platforms.Ensure alignment to established governance and best practices for responsible AI adoption, ensuring compliance with enterprise security, risk management, and software engineering standards.

API & Integration Design — Design and implement RESTful and GraphQL APIs, micro-services, and integrations with messaging (e.g., Kafka) and caching (e.g., Redis), ensuring contract-driven development and backward compatibility.

Modernization & Cloud-Native Practices — Containerize and deploy services with Docker and Kubernetes; implement CI/CD pipelines, Infrastructure-as-Code, DevSecOps practices, and platform best practices.

Observability & Performance — Instrument services for logging, metrics, and distributed tracing; analyze and tune performance to meet SLA and user experience targets.

Security & Compliance — Apply secure coding standards, implement authentication/authorization (OAuth2, OIDC, JWT), and collaborate with security and risk teams to ensure compliance.

Collaboration & Agile Delivery — Work within an Agile product team to plan, estimate, manage dependencies and risks, and deliver incremental value with regular feedback loops.

Mentoring & Knowledge Sharing — Coach and mentor peers, share patterns and playbooks, and help raise team engineering standards and productivity.

Operational Readiness — Create runbooks, health checks, and automated alerts; participate in on-call rotations and support production incidents to ensure operational excellence.