Full Stack Developer

About this role

Role summary Own architecture and delivery across multiple workstreams for Intelligent Applications . You’ll define “how we build” for forward deployed engagements—templates, standards, quality gates—and you’ll mentor and guide multiple engineers. You’ll bring observability/security to the forefront and operationalize LLM/agent delivery into repeatable, safe workflows (evals, guardrails, monitoring, human-in-the-loop where needed).

Responsibilities Lead multiple streams (UI/API/data) with clear sequencing, risks, and integration plans. Define reference architectures and standards: SOLID/MVC boundaries, error handling, testing, observability, security. Drive performance and data architecture decisions: SQL/query patterns, indexing strategy, data contracts. Create reusable accelerators: scaffolds, templates, spec/context packages, PR checklists, CI quality gates—including LLM/RAG reference modules and evaluation scaffolding.

Partner with data teams when engagements lean on Databricks or Snowflake for analytics/ML adjacency (contracts, identity, performance patterns). Operationalize CI/CD and containerization standards: pipeline guardrails, environment parity, container-first dev workflows, and release verification patterns. Coach senior + mid-level engineers; improve team throughput and quality. Partner with leadership and clients to quantify impact and adoption.

Required qualifications 6-8+ years equivalent experience or demonstrated staff-level impact. Demonstrated multi-team or multi-stream technical leadership. Strong full-stack architecture depth (React/Angular + Python services) and SQL performance leadership. Strong best-practices governance mindset (systemic standards, not preferences). Demonstrated leadership shipping production LLM systems (RAG, tool use, evaluations) and engineering governance around AI-assisted development (verification, secrets/PII, supply chain).

Preferred qualifications Experience operating in high-trust client environments and leading transformations. Experience establishing agentic engineering guardrails and templates across teams. Nice to have: Lakehouse/warehouse depth with Databricks and/or Snowflake (secure patterns, performance, operational integration with apps/APIs). Success in first 90 days Establishes/strengthens standards and reusable assets that improve delivery velocity.