Senior Forward Deployed Engineer (React/Angular + Python + SQL)

Blend360•Columbia, MD

About The Position

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com Own client workstreams from discovery through delivery. You’ll translate ambiguous goals into buildable plans, ship thin-slice outcomes rapidly, and harden them into production-ready solutions with quality, security, and observability. You’ll set patterns others can follow and actively use AI-assisted engineering safely (catching hallucinations, strengthening tests, and accelerating migrations/refactors).

Requirements

6+ years equivalent production experience (or strong demonstrated senior-level impact).
Strong React/Angular architecture and testing discipline.
Strong Python service design, testing, and debugging at production scale.
Advanced SQL: windows/CTEs/joins, performance tuning, explain plans, indexing intuition.
Demonstrated leadership: mentoring, ownership, and stakeholder communication.

Nice To Haves

Prior FDE/consulting/embedded engineering experience.
Experience building reusable reference implementations and delivery accelerators.
Experience improving CI/CD pipelines and Dockerized dev environments across teams.
Strong security/compliance awareness (OWASP; secure-by-default patterns).

Responsibilities

Lead discovery-to-delivery cycles: scope, milestones, acceptance criteria, and risk management.
Design and implement scalable UI architecture (React/Angular) and reliable Python services/APIs.
Drive SQL performance work: window functions/CTEs, indexing strategy, query plan analysis, correctness guarantees.
Establish team patterns: review checklists, testing standards, “definition of done,” and reusable components.
Lead delivery hardening: CI/CD reliability, build/test automation, environment parity, and container-first local dev patterns.
Improve observability: logs/metrics/traces and production debugging playbooks.
Coach engineers on SOLID/MVC boundaries, DRY/KISS tradeoffs, and safe refactors.
Lead AI-first workflows: spec + context packages, prompt patterns, verification gates, and regression tests.