Senior DevOps / Python Backend Engineer

Main tasks

• Take end-to-end ownership of internal and client-project infrastructure, including architecture, reliability, security, maintenance and continuous improvement.
• Design, deploy and operate cloud infrastructure, with a strong focus on Microsoft Azure.
• Support multiple client projects through environment setup, deployment, troubleshooting and production operations.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Provision and manage infrastructure using Terraform and Infrastructure as Code practices.
• Operate Linux systems, virtual machines, Docker workloads and Kubernetes environments.
• Configure and improve networking, private connectivity, DNS, load balancing, certificates and firewall rules.
• Implement monitoring, logging, alerting and operational runbooks.
• Define infrastructure, security and deployment standards, and create reusable modules, templates and automation.
• Contribute to Python backend development, including APIs, integrations, automation and data-processing services.
• Support the deployment and operation of GenAI applications.
• Support web scraping, browser automation and data extraction where required.
• Contribute to architectural decisions and the development of quick prototypes.

Requirements

• Deep hands-on expertise in Microsoft Azure, including the design and operation of secure, reliable and scalable environments.
• Strong DevOps and platform engineering experience.
• Experience with GitHub Actions, CI/CD, Terraform, Docker and Kubernetes.
• Strong knowledge of Linux, virtual machines, monitoring and alerting.
• Strong networking knowledge, including DNS, routing, load balancing, TLS/SSL, firewalls, VPNs and private networking.
• Good understanding of infrastructure and application security, including identity and access management, secrets management, patching and secure delivery pipelines.
• Strong Python backend skills and the ability to build production-ready services from scratch.
• Experience developing APIs, integrations, automation or data-processing services using sound software engineering practices.

Nice to have

• Experience with web scraping, browser automation or data extraction pipelines.
• Familiarity with FastAPI or similar frameworks, PostgreSQL, Redis and asynchronous workers.
• Hands-on experience with GenAI technologies such as Azure OpenAI, Azure AI Foundry, RAG, agents, vector databases and embeddings.

Other requirements

• English proficiency.
• Strong ownership mindset, autonomy and initiative.
• Ability to manage several projects simultaneously while balancing delivery speed, quality, security and reliability.
• Comfortable making technical decisions in a fast-paced environment with changing priorities.
• Strong communication skills and ability to collaborate with engineers, project teams and client stakeholders.
• Interest in GenAI and willingness to develop practical expertise in its production deployment.