Full Stack Developer, Blend

• 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)

Desirable

• 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)
• 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
• Success in first 90 days:
• Establishes/strengthens standards and reusable assets that improve delivery velocity
• Leads a multi-stream delivery track with strong quality and stakeholder trust
• Reduces recurring issues via systemic fixes (tests, observability, templates)