Senior Data DevOps Engineer

at  Epam Systems

We’re seeking a Senior Data DevOps Engineer to join our team and play a crucial role in shaping the future of our CVML (Computer Vision and Machine Learning) platform. If you’re an experienced engineer with a passion for innovation, this could be the perfect opportunity for you.
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.

REQUIREMENTS

• Terraform and Terragrunt Proficiency: You should be highly skilled in using these tools for infrastructure management
• Kubernetes Expertise: Deep knowledge of Kubernetes, including experience with AWS EKS and KubeSpray
• AWS Mastery: A strong command of AWS services, from network management to LoadBalancer and IAM
• Istio Understanding: Familiarity with Istio, including sidecars, mTLS (mutual TLS), and the ingress gateway
• Monitoring Skills: Experience with monitoring tools like Prometheus and Grafana
• Programming Prowess: Strong Python programming skills
• GitHub Proficiency: Familiarity with GitHub and GitHub Actions

• As a Senior Data DevOps Engineer a EPAM, you’ll be tasked with a range of responsibilities that are integral to our platform’s success. Your day-to-day tasks will include a
• Crafting Infrastructure as Code: Develop Terraform and Terragrunt configurations to efficiently manage our infrastructure. Work on GitHub Actions workflows to streamline our development processes
• Data Access Permissions: Troubleshoot and resolve data access permission issues, particularly within AWS S3 and AWS IAM
• Kubeflow Mastery: Take ownership of our Kubeflow ML pipelines, resolving issues related to CPU, memory, GPU, and permissions
• Scripting for Automation: Utilize your programming skills in Python and Golang to develop scripts for various automation tasks, contributing to the efficiency and scalability of our platform