Must have

• Python

• English (B2)

• Polish (B2)

Requirements description

You’ll be great if you have

• 6+ years professional backend experience (or equivalent impact).
• Strong Python skills with FastAPI and/or Django in production.
• Deep SQL chops with PostgreSQL (query tuning, indexes, migrations, transactional integrity).
• Asynchronous Python (async/await), task queues (Celery/RQ), event systems.
• Experience building distributed, containerized systems on AWS with Terraform.
• Proficiency with Redis (caching, queues, locks) and designing idempotent background jobs.
• Ownership mindset: you ship, monitor, and iterate; you write tests and docs by default.
• Excellent collaboration and product sense.

Nice to have

• Geospatial experience: PostGIS, Shapely/GEOS, GDAL/PROJ; tiling/geometry operations.
• Data/compute: Polars/Pandas, NumPy; report generation (PDF/CSV pipelines).
• Security & compliance best practices (authN/Z, secrets, least privilege).
• Offline-first sync, CRDTs, or merge/conflict-resolution patterns for mobile clients.
• Observability: structured logging, metrics, tracing; SLOs.

Offer description

About PastureMap

PastureMap helps ranchers plan grazing, improve soil health, and track carbon outcomes. We build tools for livestock and grazing management, forage monitoring, weather-aware plans, and sustainability reporting. If you want your code to make the land healthier and ranching more profitable, you’ll feel at home here.

The role

We’re hiring a Senior Backend Engineer to own critical services across our FastAPI/Django platform. You’ll design and scale APIs, data models, and background jobs that power ranch operations, offline-first sync, and environmental reporting. You’ll collaborate with product, data, frontend and carbon science team to ship reliable features fast.

Your responsibilities

1. Design and scale APIs (REST/JSON) in Python 3.10+ using FastAPI and understand Django where appropriate.
2. Model complex domain data (livestock, paddocks, seasons, grazing events) with PostgreSQL (+ SQLAlchemy, PostGIS must-to-have).
3. Build robust background processing (task queues, scheduling, idempotency, retries) and conflict-free offline sync for mobile clients.
4. Drive performance, security, and reliability: profiling, caching (Redis), rate limiting, pagination, observability (logs/metrics/traces).
5. Own infrastructure-as-code with Terraform; containerize with Docker and deploy on AWS (ECS, S3, VPC).
6. Maintain clean CI/CD pipelines (GitHub Workflows), code quality (type hints, pytest), and documentation.

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