Platform Engineer (Python & Kubernetes)

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Your responsibilities

• Execute software engineering tasks to support end-to-end machine learning operations, with a focus on scaling workflows for large data and distributed systems
• Design, build, and maintain MLOps systems, including microservices, queuing systems, APIs, and orchestration workflows using Python, Kubernetes, Kafka, and modern database systems.
• Implement observability tools such as Prometheus and Grafana to ensure reliability, performance, and visibility of ML systems in production
• Collaborate closely with data scientists and machine learning engineers to streamline workflows for LLM, generative AI, and Agentic AI development and deployment.
• Review architecture and implementation plans to ensure alignment with organizational goals, scalability, and best practices.
• Mentor junior and mid-level engineers, fostering a culture of collaboration, innovation, and operational excellence

Our requirements

• 5+ years of professional experience in MLOps, DevOps, or Software Engineering, with a focus on building scalable and reliable software systems.
• Proficiency in Python and Linux, with strong knowledge of designing scalable, distributed systems.
• Hands-on experience in designing, implementing, and maintaining MLOps workflows, including CI/CD pipelines, monitoring, and production optimization.
• Strong background in cloud computing (AWS/GCP), infrastructure as code (Terraform), containerization, and orchestration (Kubernetes).
• Solid understanding of modern software development practices such as test-driven development (TDD), systems thinking, and CI/CD automation.

What we offer

• Medical care
• Sport Card (MultiSport)
• MultiLife (mental and physical wellbeing)
• Attractive employee referral program
• Nearmap subscription (naturally)

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