Title: Senior Data DevOps Engineer Location: Remote in Georgia Job Description: We are looking for a proactive and detail-oriented Senior Data DevOps Engineer with strong experience in cloud infrastructure and automation, particularly within Google Cloud Platform (GCP). The ideal candidate is passionate about building scalable, secure and reliable systems, and is comfortable working in a fast-paced, collaborative environment. You should have a strong ownership mindset, the ability to streamline operations through automation, and the judgment to balance speed with stability. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities - Design, implement and manage cloud infrastructure on GCP using Infrastructure as Code (IaC) principles - Development and maintenance of Terraform modules for environment provisioning and standardization - Use of Ansible for configuration management and system automation - Build, optimize and maintain CI/CD pipelines using Jenkins to support efficient software delivery - Management and security of GCP services, including IAM roles, networking configurations and access controls - Administration of BigQuery environments, ensuring performance, cost optimization and data governance - Management of Google Cloud Storage (GCS) buckets, including lifecycle policies, access control and security best practices - Deployment and operation of data processing workloads using GCP Dataproc (Spark jobs) - Collaboration with engineering, data and product teams to support reliable and scalable platform operations - Monitor system performance, troubleshoot issues and implement improvements to enhance reliability and efficiency - Contribution to best practices, documentation and continuous improvement of DevOps processes Requirements - 4+ years of experience in DevOps, Cloud Engineering or related roles - Expertise in Terraform for infrastructure provisioning and Ansible for configuration management and automation - Proficiency in building and maintaining CI/CD pipelines using Jenkins - Solid experience with Google Cloud Platform (GCP), including IAM and networking - Background in administering BigQuery and managing large-scale data environments - Skills in GCS bucket management, including lifecycle and security configurations - Familiarity with GCP Dataproc and Spark job deployment/operations - Understanding of cloud security, scalability and reliability principles - Good problem-solving skills and ability to work independently under general direction - Strong communication and collaboration skills - English proficiency at B2 level or higher Nice to have - Experience with Looker or similar BI/reporting tools - Exposure to data engineering workflows or analytics platforms We offer/Benefits We connect like-minded people - Delivering innovative solutions to industry leaders, making a global impact  - Enjoyable working environment, whether it is the vibrant office or the comfort of your own home  - Opportunity to work abroad for up to two months per year  - Relocation opportunities within our offices in 55+ countries - Corporate and social events    We invest in your growth - Leadership development, career advising, soft skills and well-being programs  - Certifications, including GCP, Azure and AWS</li> - Unlimited access to LinkedIn Learning and Udemy - Free English classes with certified teachers  We cover it all - Participation in the Employee Stock Purchase Plan  - Monetary bonuses for engaging in the referral program  - Comprehensive medical & family care package    - Five trust days per year (sick leave without a medical certificate)    - Benefits package (sports activities, a variety of stores and services) EPAM Georgia is a team of innovators united by a passion for technology. The dynamic and inclusive culture we embrace helps positively impact our communities, clients, and employees. Here you will collaborate with multi-national teams, contribute to numerous cutting-edge projects, deliver the most creative solutions, and have an opportunity to learn. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.

• Lead the design, development and operation of large-scale, secure observability systems • Collaborate with internal teams on industry thought leadership • Attend regular internal practice community meetings • Complete client case studies and learning material (blogs, media material) • Build out material to contribute to the Digital Transformation practice • Attend internal itD networking events (in person and virtual)

• Troubleshoot system issues using logs, diagnostics, and monitoring tools • Develop and maintain automation scripts using PowerShell and Bash • Design and manage CI/CD pipelines for continuous integration and deployment • Configure and maintain web servers (IIS) and support application hosting environments • Deploy, manage, and scale applications in Azure Kubernetes Service (AKS) • Build and maintain Docker images, Docker files, and containerized environments • Implement and maintain monitoring, logging, and observability solutions (Grafana, Prometheus, ELK, etc.) • Collaborate with development teams to ensure smooth release cycles and reliable deployments • Contribute to improving system architecture and adopting best DevOps practices

• Lead and grow our SRE team of ~10 engineers, including hiring, retention, career development, and performance management across multiple time zones (US, HK, NZ). • Build strategic partnerships with product engineering pillars — shifting SRE from reactive, ticket-based support to proactive co-ownership of reliability outcomes. • Scale our multi-tenant infrastructure to support new customer onboarding and growing patient populations. • Own cloud cost management and FinOps practices, building frameworks that balance cost control with reliability and performance. • Champion developer self-service and platform engineering. Build self-service capabilities so product teams can manage routine operations without filing SRE tickets. Establish SLOs/SLIs for critical services and improve alert quality so every page is meaningful. • Ensure the SRE team is fully leveraging AI tooling in their workflows — using tools like Claude Code for IaC generation, log analysis, root cause investigation, and automating repetitive work — at the same level as the rest of engineering.