Senior Full-Stack Python Engineer Strategic Warning AI
Listed on 2026-07-18
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Software Development
Python
Location: New York
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Anadyr Horizon
Remote
About the jobLocation: Fully Remote but must have UK/EU work authorization
Type: Full-time contractor, with a path to conversion to salaried role + equity
Reports to: Chief Scientific Officer (until Head of Engineering is hired)
Compensation: $8,000 USD/month contractor rate
Background Screening: Required per client + legal obligations
Anadyr Horizon builds Strategic Warning AI — technology designed to help governments and institutions see crises before they happen and prevent escalation.
You’ll be engineering the backbone of a system used by analysts, operators, and real‑world decision‑makers navigating high‑pressure environments.
We’re assembling a founding engineering team — just three people — to turn prototypes into production systems that shape global outcomes.
If you’ve ever wanted to say "I built the infrastructure behind a new category of intelligence software", this is that moment.
What You’ll Do- Build and maintain FastAPI services that power agentic simulations and data pipelines.
- Design PostgreSQL schemas, optimize queries, and manage migrations.
- Deploy and monitor workloads on AWS with CI/CD and infrastructure‑as‑code practices.
- Set up observability with metrics, logs, traces, error handling, privacy‑safe analytics.
- Collaborate on system design from concept to production.
- Contribute to engineering standards: code review, testing, linting, typed Python, rollback plans.
- Proficient in Python and SQL with strong back‑end fundamentals.
- Experience with Linux and building/consuming APIs.
- Ability to learn new technologies quickly (AWS cloud).
- Docker experience for local development and deployment.
- Strong communication skills and ability to explain technical concepts clearly.
- Familiarity with React and Next.js is a bonus.
- Emphasis on backend depth over front‑end specialization.
- 3–5+ years shipping production web applications with ownership from design to deploy.
- Backend depth in Python:
FastAPI or Flask, async fundamentals, Pydantic, SQL/PostgreSQL mastery. - Comfort building and maintaining React+Type Script views.
- Dev Ops proficiency:
Docker, CI/CD, AWS services. - Observability and reliability: metrics, logs, traces, SLO/SLA thinking.
- Privacy‑safe product analytics/UX telemetry.
- Security‑mindful habits: least‑privilege IAM, secrets management, auditability.
- Clear written English, remote collaboration in EU time zones.
- Infrastructure‑as‑Code (Terraform/Cloud Formation).
- Observability tools (Open Telemetry, Prometheus, Grafana).
- ML serving experience.
- Experience with simulation‑heavy or data‑intensive apps.
- Security & compliance practices.
- Early influence: shape stack and culture.
- Mission with consequence: code helps prevent crises.
- Serious craft: typed Python, build lasting systems.
- Autonomy & trust: minimal bureaucracy.
- Periodic stand‑up (~15 minutes, late afternoon/evening CET).
- Deep work blocks for building, testing, design notes.
- Weekly engineering planning (60–90 min).
- Release/retro touchpoints: ship reviews, metrics, runbooks.
- Short take‑home or working session.
- 60 min technical conversation (Python, SQL, architecture).
- Founder conversation.
- Offer.
- Help build a decision engine similar to the Cuban Missile Crisis era.
- Join a team that anticipated Ukraine conflict dynamics early.
- Ship quickly, learn relentlessly, impact deep‑tech systems.
We move fast, operate as one aligned team.
We value integrity, amity, excellence.
Preferred Skills- Python
- SQL
Location: Remote (CA, IL, MA, & NY preferred)
Schedule: Full‑time Co‑op (Jan–Jun)
Reports to: Chief Scientific Officer
Works closely with: Operations & Engineering teams
About the RoleThe Executive Assistant serves as a partner to the leadership team, providing high‑level administrative and operational support that ensures the smooth functioning of the CSO’s executive activities. This role requires strategic communication skills and a proactive mindset to anticipate needs, as well as manage complex priorities.
What you’ll do- Calendar & logistics: manage schedule,…
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