Senior DevOps Engineer

We are looking for a Senior DevOps Engineer to build and evolve the infrastructure behind Kyivstar's Big Data products. You will own the full lifecycle of our cloud and on-premises environments - from architecture and provisioning to CI/CD, observability and incident response Requirements 3+ years of experience as a DevOps Engineer. Practical experience with cloud providers (AWS preferred). Experience building CI/CD pipelines (preferably GitLab). Strong hands-on experience with Docker and Kubernetes. Practical experience with Infrastructure as Code (IaC) (preferably Terraform). Solid understanding of Unix/Linux operating systems and networking fundamentals. Strong hands-on experience with scripting languages (Bash and/or Python). Experience with relational and non-relational databases (e.g., PostgreSQL or similar). Experience with monitoring and alerting tools (e.g., Prometheus, Grafana). Proven experience working with remote/distributed teams. Experience with AI agents or AI-driven tooling is a plus. Responsibilities Implement solutions for Big Data and AI products. Design and implement CI/CD pipelines tailored for Big Data solutions. Manage and maintain AWS and on-premises infrastructure. Monitor, troubleshoot, and continuously improve system observability. Automate software deployment, monitoring, and routine operational tasks. Support staging/production environments, manage release cycles, and assist customers. We offer A unique opportunity to shape the future of Big Data products at Ukraine's leading telecom operator Work on high-impact initiatives that create value across multiple business functions Collaboration with experienced business, data and technology professionals Remote work with the possibility to visit the office Competitive salary and annual bonus Paid vacation and sick leave Flexible working hours Medical and life insurance Professional development and career growth opportunities A friendly, collaborative and innovation-driven working environment We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.