Platform Engineer (Python & Kubernetes)

Nasze wymagania: 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. O projekcie: Creating a platform for our product - ML tool that says about condition of the roofs and parcels. Zakres obowiązków: 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 Oferujemy: Medical care Sport Card (MultiSport) MultiLife (mental and physical wellbeing) Attractive employee referral program Nearmap subscription (naturally)