Senior Backend Engineer - Machine Learning Infrastructure

About the Role

We are seeking a Senior Backend Engineer to join our team and focus on machine learning infrastructure and reliability. This is a fully remote position, allowing you to work from anywhere within the CET timezone. As a Senior Backend Engineer, you will play a crucial role in designing and maintaining our backend systems that support large-scale machine learning platforms.

What You'll Do

• Design and maintain Django services that support ML inference workflows.
• Build high-throughput asynchronous job processing systems using queues and schedulers.
• Implement reliability patterns including retries, idempotency, rate limiting, and backpressure.
• Own the observability strategy, including metrics, tracing, logging, and alerting.
• Lead incident response and drive long-term reliability improvements.
• Collaborate with ML teams to productionize training and inference pipelines.
• Support CI/CD and infrastructure automation using Infrastructure as Code.

Requirements

• Strong Python backend engineering background.
• Proven experience running Django applications in production.
• Experience building asynchronous processing systems (Celery, RQ, Arq, or similar).
• Solid understanding of distributed systems reliability principles.
• Experience with AWS or GCP cloud environments.
• Practical Infrastructure as Code experience (Terraform or similar).

Nice To Have

• Experience operating ML infrastructure or MLOps platforms.
• Familiarity with orchestration tools (Airflow, Temporal, Prefect, Step Functions).
• Experience with observability stacks such as Prometheus, Grafana, or OpenTelemetry.
• Experience scaling Postgres or caching systems like Redis.

What We Offer

• High autonomy and strong technical ownership.
• Opportunity to solve complex distributed systems challenges.
• Work closely with ML and backend engineering teams.
• Fully remote work within the CET time zone.
• Competitive salary and benefits package.