---
title: Senior DevOps Engineer at Flutter Central & Eastern Europe
description: We are Flutter Central & Eastern Europe (CEE). As a proud member of the Flutter family - a global leader in sports betting and iGaming - we are building one of the Group`s most dynamic tech and produc
---

# Senior DevOps Engineer

**Company:** Flutter Central & Eastern Europe  
**Location:** Tbilisi, Georgia  
**Posted:** 2026-11-10  
**Apply by:** 2026-12-25

**Tags:** devops

[Apply / View original posting](https://www.linkedin.com/jobs/view/4488382442)

## Job description

We are Flutter Central & Eastern Europe (CEE). As a proud member of the Flutter family - a global leader in sports betting and iGaming - we are building one of the Group`s most dynamic tech and product hubs in Central and Eastern Europe. We aren`t just here to participate; we`re here to change the game. By uniting local powerhouses like MaxBet, Adjarabet.com, and Adjarabet.am, we combine deep regional expertise with the scale and strength of Flutter`s global platforms. We are setting a new standard for entertainment, responsibility, and innovation — powered by real customer signals that shape everything we build. READY TO CHANGE THE GAME? Join the Flutter Central & Eastern Europe team. This is where bold, ambitious minds build scalable platforms, drive innovation, and shape the future of iGaming in the region. Overview Of The Role Each tribe consists of squads (typically 5–8 engineers) responsible for delivering features, services, and platform capabilities within their technical domain. As a Senior DevOps Engineer , you will design, automate, and maintain the infrastructure, CI/CD, cloud orchestration, and deployment tooling that drive reliability, scalability, and engineering velocity. You will collaborate closely with software engineers, QA, architects, and product teams to ensure secure, predictable, and efficient delivery across environments. You will be hands-on — building infrastructure with Terraform, deploying workloads via Helm charts, managing Kubernetes/EKS/ECS clusters, provisioning and governing Databricks on AWS, optimizing pipelines, and improving overall engineering systems. You will also set platform standards and mentor engineers across squads on IaC, Kubernetes, and deployment practices. What You'll Do Engineering, Automation & System Ownership Design, maintain, and optimize CI/CD pipelines using GitHub Actions, Jenkins, and other automation tools. Build and manage cloud infrastructure using Terraform (IaC for AWS, VPC, ECR, networking, IAM, policies, autoscaling). Provision and manage Databricks workspaces on AWS (account-managed / Marketplace deployment) using Terraform (databricks + aws providers) — workspace creation, cross-account IAM role, S3 root bucket, and credential/storage configurations. Implement Databricks networking in a customer-managed VPC: VPC injection, subnets, security groups, PrivateLink / VPC endpoints, and secure connectivity between Databricks and AWS data services (S3, RDS, Kinesis, Glue). Configure Databricks platform governance: Unity Catalog (metastore, catalogs, external locations, storage credentials), cluster policies, instance profiles, SCIM/SSO identity federation, and secret scopes. Deploy and maintain containerized applications using: Kubernetes AWS EKS/ECS Helm charts for packaging, versioning, and rolling out workloads Implement and evolve Kubernetes standards for namespaces, ingress, RBAC, resource limits, autoscaling (HPA/VPA), and monitoring. Optimize container build pipelines (Docker, multi-stage builds, security scanning, caching). Collaborate with developers to enhance build systems, testing frameworks, and optimized deployment workflows. Use GitHub and Git-based workflows (branching, PR policies, automation triggers) to ensure code and pipeline quality. Troubleshoot issues across infrastructure, pipelines, deployments, clusters, and cloud environments. Participate in on-call rotations for production support and incident response. Ensure compliance with security, audit, and regulatory standards in infrastructure and deployments. Foster a Sustainable & Scalable Engineering Culture Contribute directly through coding, scripting, automation, Terraform modules, Helm chart creation, cluster configuration, and performance tuning. Work with tools and technologies including: GitHub, GitHub Actions, Helm, Terraform, Kubernetes, AWS EKS, AWS ECS, Jenkins, BitBucket, Grafana, Prometheus, Logstash, CloudWatch, Nginx, Kafka, Ubuntu, Databricks (on AWS), Unity Catalog and languages such as Java, JavaScript, NodeJS, PHP, Go, Groovy, Python Promote DevOps best practices: Infrastructure as Code (Terraform) Kubernetes management Reusable Helm charts and pipelines Zero-downtime deployments Automated rollbacks and progressive delivery Drive adoption of technical enablers such as: GitHub Actions workflows Protected branches, PR approvals, automated checks Terraform modules & pipelines Helm chart repositories and versioning EKS/ECS deployment automation Databricks-as-code: workspace, Unity Catalog, cluster policies, and job definitions managed via Terraform and the Databricks CLI/REST API Static analysis & security scanning Monitoring, logging & alerting using Grafana, CloudWatch, Prometheus, OpenTelemetry, and Databricks system tables / cluster & job observability, with cost controls (cluster policies, auto-termination, spot/instance-fleet strategy) Contribute to engineering documentation, playbooks, standards, and knowledge sharing. Support backlog refinement to balance feature work with infrastructure and operational improvements. Champion Quality & Continuous Improvement Participate in planning, estimation, and prioritization of DevOps and cloud infrastructure tasks. Build resilient, secure, scalable infrastructure using Terraform, Helm, and Kubernetes best practices. Improve deployment reliability, scalability, and performance across EKS/ECS clusters. Lead diagnostics, incident resolution, root cause analysis, and remediation follow-up. Collaborate with QA, Architecture, Product, and Software Engineering to ensure system quality. Ensure the Definition of Done includes documentation, tests, observability, IaC updates, and deployment validation. Promote experimentation, innovation, automation, and internal knowledge-sharing initiatives. Stakeholder Collaboration & Communication Act as a key technical partner for engineering, QA, architecture, and product teams. Communicate infrastructure changes, risks, and dependencies clearly and transparently. Participate in design reviews and architecture discussions, especially regarding cloud, Kubernetes, data platform, and deployment approaches. Ensure DevOps practices align with business, architectural, and platform objectives. What You'll Bring Experience & Technical Skills 6+ years of experience in DevOps, cloud engineering, platform engineering, or supporting modern distributed systems. Strong hands-on experience with: Terraform (modules, state management, backend configs, AWS resource provisioning) Kubernetes (deployments, services, ingress, RBAC, autoscaling, troubleshooting) AWS EKS (cluster provisioning, workload deployment, networking, scaling, security) AWS ECS (task definitions, services, Fargate, scaling, health checks) Helm (chart authoring, templating, packaging, versioning, automated deployments) Databricks on AWS (managed deployment): workspace provisioning and administration, Unity Catalog governance, cluster policies and compute management, customer-managed VPC networking, and IAM/instance-profile access to AWS data services. Terraform-driven Databricks provisioning strongly preferred. Solid experience with GitHub & GitHub Actions automation. Proficiency with CI/CD concepts, pipelines, artifact management, and automation patterns. Strong understanding of AWS cloud services and cloud-native application architectures. Experience with observability tools (Grafana, Prometheus, CloudWatch, Elasticsearch, Logstash, OpenTelemetry). Proficiency with Linux environments. Knowledge of containers, Docker, networking fundamentals, and security best practices. Experience in Agile/Scrum environments. Proficiency with Jira & Confluence. Advanced English proficiency. Personal & Professional Competencies Strong ownership, independence, and delivery mindset. Proactive problem-solving approach with a focus on stability and performance. Excellent communication and cross-team collaboration. Ability to adapt to changing priorities and operate in dynamic environments. Solid organization and time management abilities. Why choose us At Flutter CEE, people have access to vast opportunities for career growth and self-development. Our employee benefits package goes far beyond offering the minimum: We support our people in becoming their best version at work and beyond - and our benefits reflect that commitment. These are some of the benefits included in our employee package: Generous annual leave Hybrid work Individual health insurance Paid sick leave Paid maternity & paternity leave Family reward Performance & referral bonuses

---

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Overview Of The Role Each tribe consists of squads (typically 5–8 engineers) responsible for delivering features, services, and platform capabilities within their technical domain. As a Senior DevOps Engineer , you will design, automate, and maintain the infrastructure, CI/CD, cloud orchestration, and deployment tooling that drive reliability, scalability, and engineering velocity. You will collaborate closely with software engineers, QA, architects, and product teams to ensure secure, predictable, and efficient delivery across environments. You will be hands-on — building infrastructure with Terraform, deploying workloads via Helm charts, managing Kubernetes/EKS/ECS clusters, provisioning and governing Databricks on AWS, optimizing pipelines, and improving overall engineering systems. You will also set platform standards and mentor engineers across squads on IaC, Kubernetes, and deployment practices. What You'll Do Engineering, Automation & System Ownership Design, maintain, and optimize CI/CD pipelines using GitHub Actions, Jenkins, and other automation tools. Build and manage cloud infrastructure using Terraform (IaC for AWS, VPC, ECR, networking, IAM, policies, autoscaling). Provision and manage Databricks workspaces on AWS (account-managed / Marketplace deployment) using Terraform (databricks + aws providers) — workspace creation, cross-account IAM role, S3 root bucket, and credential/storage configurations. Implement Databricks networking in a customer-managed VPC: VPC injection, subnets, security groups, PrivateLink / VPC endpoints, and secure connectivity between Databricks and AWS data services (S3, RDS, Kinesis, Glue). Configure Databricks platform governance: Unity Catalog (metastore, catalogs, external locations, storage credentials), cluster policies, instance profiles, SCIM/SSO identity federation, and secret scopes. Deploy and maintain containerized applications using: Kubernetes AWS EKS/ECS Helm charts for packaging, versioning, and rolling out workloads Implement and evolve Kubernetes standards for namespaces, ingress, RBAC, resource limits, autoscaling (HPA/VPA), and monitoring. Optimize container build pipelines (Docker, multi-stage builds, security scanning, caching). Collaborate with developers to enhance build systems, testing frameworks, and optimized deployment workflows. Use GitHub and Git-based workflows (branching, PR policies, automation triggers) to ensure code and pipeline quality. Troubleshoot issues across infrastructure, pipelines, deployments, clusters, and cloud environments. Participate in on-call rotations for production support and incident response. Ensure compliance with security, audit, and regulatory standards in infrastructure and deployments. Foster a Sustainable & Scalable Engineering Culture Contribute directly through coding, scripting, automation, Terraform modules, Helm chart creation, cluster configuration, and performance tuning. Work with tools and technologies including: GitHub, GitHub Actions, Helm, Terraform, Kubernetes, AWS EKS, AWS ECS, Jenkins, BitBucket, Grafana, Prometheus, Logstash, CloudWatch, Nginx, Kafka, Ubuntu, Databricks (on AWS), Unity Catalog and languages such as Java, JavaScript, NodeJS, PHP, Go, Groovy, Python Promote DevOps best practices: Infrastructure as Code (Terraform) Kubernetes management Reusable Helm charts and pipelines Zero-downtime deployments Automated rollbacks and progressive delivery Drive adoption of technical enablers such as: GitHub Actions workflows Protected branches, PR approvals, automated checks Terraform modules & pipelines Helm chart repositories and versioning EKS/ECS deployment automation Databricks-as-code: workspace, Unity Catalog, cluster policies, and job definitions managed via Terraform and the Databricks CLI/REST API Static analysis & security scanning Monitoring, logging & alerting using Grafana, CloudWatch, Prometheus, OpenTelemetry, and Databricks system tables / cluster & job observability, with cost controls (cluster policies, auto-termination, spot/instance-fleet strategy) Contribute to engineering documentation, playbooks, standards, and knowledge sharing. 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Communicate infrastructure changes, risks, and dependencies clearly and transparently. Participate in design reviews and architecture discussions, especially regarding cloud, Kubernetes, data platform, and deployment approaches. Ensure DevOps practices align with business, architectural, and platform objectives. What You'll Bring Experience & Technical Skills 6+ years of experience in DevOps, cloud engineering, platform engineering, or supporting modern distributed systems. 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