Lead impactful backend engineering projects for Earth Observation integration. Collaborate on innovative AI and geospatial solutions in a dynamic environment. Enjoy remote flexibility, equity, and comprehensive benefits.
Senior Backend Engineer
in Information Technology PermanentJob Detail
Job Description
Overview
- Develop and maintain backend services integrating Earth Observation providers with stable APIs.
- Design reliable systems ensuring uptime, fault tolerance, and predictable performance.
- Manage data-intensive workflows focusing on correctness and cost efficiency.
- Collaborate with cross-functional teams to translate requirements into robust solutions.
- Architect scalable systems with operational excellence in mind.
- Contribute to LLM experimentation and integration for measurable product value.
- Implement MLOps foundations for LLM-enabled services ensuring reliability and monitoring.
- Develop operational tooling for AI features ensuring production dependability.
- Design systems with secure patterns and guardrails for real-world failure modes.
Key Responsibilities & Duties
- Deliver production backend systems with a focus on reliability and observability.
- Build and maintain REST APIs using Python and relational data modeling.
- Apply engineering best practices including testing, code review, and CI/CD pipelines.
- Integrate LLMs/RAG into production systems for real product value.
- Collaborate with product teams to ensure customer-focused solutions.
- Implement geospatial data workflows using relevant tools and frameworks.
- Develop vector search and retrieval systems for efficient data handling.
- Ensure cloud-based services' reliability and scalability.
- Contribute to the Earth Observation and satellite imagery ecosystem.
Job Requirements
- Bachelor's degree in STEM, preferably Computer Science.
- 5+ years of experience in backend system development and operational excellence.
- Proficiency in Python and relational databases like Postgres.
- Experience with geospatial tools such as PostGIS and GDAL/rasterio.
- Knowledge of vector search systems and workflow orchestration tools.
- Familiarity with LLM/MLOps tooling and cloud platforms.
- Strong product instincts and commitment to clean code practices.
- Interest in Earth Observation and satellite imagery ecosystems.
- Ability to thrive in fast-paced, iterative environments.
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