Our client is looking for a Staff Software Engineer – Full Stack (Python & React) This company builds AI-powered software for the nuclear and utility industries – tools that keep critical infrastructure reliable, efficient, and safe. Our software integrates AI-driven workflow, documentation, and research automation, and is already used at 60+ nuclear reactors across North America. You'll ship production code operators and engineers rely on every day. We're growing quickly, expanding our team and our Phoenix HQ. The work is consequential: what you build helps real plants run safer and smarter. What You’ll Do: • You’ll own features end‑to‑end across a modern Python/React stack, with a heavy dose of reliability, data plumbing, and “meet the enterprise where it is” integration work. • Ship production features across React (frontend) and FastAPI (backend) that power our products (e.g., CAP AI, AtomAssist). • Design and evolve APIs and Postgres schemas for performance, correctness, and auditability (migrations, indexing/partitioning, background data corrections). • Containerize and deploy services with Docker/Podman and Kubernetes; help tune queues/workers (Redis, RabbitMQ, Celery) for throughput, reliability and idempotency. • Make data usable: build ingestion pipelines that prefer tabular sources (CSV/Excel/JSON) but gracefully handle the “we only have PDFs” reality - minimizing OCR, adding validation, and failing safely. • Integrate with customer systems common in the industry (e.g., Maximo, DevonWay, Microsoft 365/Teams/OneNote). • Own reliability: reduce noise and fix root causes identified across Sentry and Netdata; add observability, back‑pressure, retries, and circuit breakers so we never lose a record. • Collaborate with customers: join (lightweight) customer calls with utilities to understand constraints, scope integrations, and demo new capabilities. • Reality of the role: You’ll bounce between product code, schema work, a gnarly data import, a Sentry investigation, and a customer demo environment - often in the same week. Examples of problems you might own in your first 90 days • Build a DevonWay → CAP AI connector that ingests event data in tabular form, validates against our schemas, and supports safe reprocessing. • Add a “simulate, then apply” workflow for CAP automations (human‑in‑the‑loop gates, dry‑run diffs, full audit trails, easy rollbacks). • Cut a noisy Sentry class of errors by 30% by hardening a Celery task (idempotent writes, retry policy, dead‑letter queue). • Implement license entitlements & usage reporting for a fleet customer renewal (clean server‑side enforcement plus UI visibility). • Deliver a small Teams/OneNote POC to integrate new data streams into AtomAssist. What Makes You a Great Fit • Degree in CS or related field – or equivalent practical experience. • You’ve shipped production React + FastAPI and can contribute independently within ~6 weeks. • You care about correctness and safety: typed APIs, schema migrations with backfills, idempotent jobs, and tests that catch the sharp edges. • You’re comfortable with customer-facing engineering (a quick demo, a clarifying question, a pragmatic workaround). • Clear, direct communicator; kind reviewer; steady under pressure. Nice To Have (not Required) • AI/ML or data‑pipeline experience (prompting, retrieval, feature stores, vector search). • Prior startup experience. • Exposure to nuclear/utility or other safety‑critical domains (aviation, med‑device, rail, etc.). The stack you’ll shepherd • Frontend: React, JavaScript, HTML/CSS • Backend: Python (FastAPI) • Data/Infra: PostgreSQL, SQLite; Redis, RabbitMQ, Celery • DevOps: Docker/Podman, Kubernetes; GitHub Actions • Observability: Sentry, Netdata (and the dashboards you help us build) • Quality: PyTest, Cypress • Collab: Git/GitHub Impact You’ll Have (near-term roadmap) • CAP AI “toward 100% automation”: design safe guardrails (review gates, audit, simulation modes). • Data connectors: unstructured PDFs, structured feeds; resilient syncs with Maximo/DevonWay; M365 integrations. • Performance & reliability: fewer flakes, faster jobs, clearer dashboards, calmer alerts. If this is a role that interests yo If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. 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