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Stack Engineer II​/Sr; React + Python

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Nuclearn
Full Time position
Listed on 2025-12-27
Job specializations:
  • Engineering
    Systems Engineer, AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Full‑Stack Engineer II/Sr (React + Python)
Full‑Stack Engineer II/Sr (React + Python)Why Nuclearn.ai

Nuclearn.ai 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.

Eligibility: U.S. citizenship or permanent residency (green card) is required due to DOE export compliance.

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, Atom Assist).
  • 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, Rabbit

    MQ, 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, Devon Way, Microsoft 365/Teams/One Note).
  • 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 Devon Way → 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/One Note POC to integrate new data streams into Atom Assist.
The stack you’ll touch
  • Frontend: React, JavaScript, HTML/CSS
  • Backend: Python (FastAPI)
  • Data/Infra: Postgre

    SQL, SQLite;
    Redis, Rabbit

    MQ, Celery
  • Dev Ops: Docker/Podman, Kubernetes;
    Git Hub Actions
  • Observability: Sentry, Netdata (and the dashboards you help us build)
  • Quality: PyTest, Cypress
  • Collab: Git/Git Hub
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.).
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/Devon Way; M365 integrations.
  • Performance & reliability: fewer flakes, faster jobs, clearer dashboards, calmer alerts.
Compensation & benefits
  • Base salary: $125k - $150k (
  • Equity: [–%] (meaningful ownership)
  • Benefits: Unlimited vacation, health insurance, and more
Work model & schedule
  • Full‑time, salaried
  • Mon - Fri hybrid (Wed remote) expectation is ≥80% in‑office (Phoenix HQ)
How we hire (fast, respectful, practical)
  • 20‑min intro with the founder/hiring manager to trade context and assess mutual fit
  • Practical work sample (60 - 90 min; a real task in our stack)
  • Team meet + peer programing (system design + collaboration)
    We aim to move from first chat to decision quickly
  • Ready to apply?

    If you want to apply modern AI and high‑quality software to problems that actually impact the future of clean energy, we’d love to meet you.

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