Senior DevOps Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking a Senior DevOps Engineer to lead the end-to-end development of our data platform, drive the design of scalable cloud-native architectures, and mentor engineers while fostering a culture of technical excellence and continuous improvement. Responsibilities Develop our data platform built on Databricks & Kubernetes from end to end Integrate new data sources such as test automation results, deployments, and vulnerabilities Utilize data sources to build accurate and reliable metrics through automated processes Contribute to the design and implementation of a scalable data platform architecture on Azure Participate in the larger enablement community and help improve processes every day Apply an "open-source and build yourself" mentality within a corporate environment through innersourcing Architect and implement CI/CD pipelines, robust scrapers, automation scripts, and Infrastructure as Code templates to streamline deployment processes Optimize performance, reliability, and cost-efficiency of data pipelines and analytics workloads Coach and mentor engineers to foster technical excellence, code quality, and knowledge sharing Communicate complex technical concepts clearly to both technical and non-technical stakeholders Requirements 3+ years of relevant professional experience in data engineering, data warehousing, and software development, preferably in large-scale or complex environments Understanding of modern data architectures and the ability to design scalable, maintainable, and future-proof solutions aligned with business goals Hands-on experience with cloud platforms, particularly Azure, including designing and deploying cloud-native data solutions Proficiency in DBT, Python, and Terraform Proficiency in GitHub Actions, Databricks, and Go Skills in SQL and the ability to select and advocate for the right tools for the job Expertise in optimizing performance, reliability, and cost-efficiency of data pipelines and analytics workloads Experience architecting CI/CD pipelines, robust scrapers, automation scripts, and Infrastructure as Code templates Passion for navigating and thriving in complex, ambiguous environments with a proactive approach to problem-solving Strong architectural vision and the ability to contribute to the technical roadmap Proven track record of coaching and mentoring engineers Excellent communication skills to translate technical concepts for varied audiences We offer Full access to cutting-edge tools and technologies Competitive compensation depending on experience and skills All-around Social package: professional & soft skills training, medical & family care programs, sports Free English classes Unlimited access to LinkedIn learning solutions Continuous experience exchange with experts and professionals worldwide Friendly team and comfortable working environment Engineering, corporate, and social events within and outside the Company Flexible working schedule Opportunities for self-realization