DevOps Engineer (Senior/Lead) ID42216
AgileEngine.com
Office
Пловдив / Plovdiv, Bulgaria
Full Time
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
As a Cloud Data Engineer (Kubernetes/Trino), you’ll play a key role in building a scalable, secure Trino platform that enables efficient access to Azure Data Lake across multiple teams. You’ll design and deploy high-availability AKS clusters, automate infrastructure with Terraform, and integrate modern authentication and observability tools. This role offers the opportunity to shape a production-grade, multi-tenant data service in a forward-thinking, cloud-first engineering environment.
WHAT YOU WILL DO
- Deploy and scale Trino clusters on Azure AKS with HA setup;
- Configure secure access to Azure Data Lake via SQL endpoint;
- Implement multi-tenancy and workload isolation for multiple team use;
- Integrate Azure AD / modern auth for user and service identity management;
- Collaborate on observability: metrics, logs, distributed tracing;
- Troubleshoot and resolve production issues across networking, authentication, and workloads;
- Manage infrastructure automation using Azure DevOps pipelines;
- Contribute to internal governance, security review, and cost approval processes.
MUST HAVES
- 8+ years of experience in Cloud Infrastructure / DevOps Engineering;
- 5+ years of Kubernetes experience (AKS preferred) covering deployment, scaling, security, RBAC, and HA workloads;
- Strong knowledge of Azure services: AKS, Azure AD, Networking (VNet, NSG, Subnets), Storage, Key Vault, Monitoring, and Cost Management;
- Experience with SQL engines, preferably Trino, Presto, or similar distributed query engines;
- Hands-on experience with infrastructure as code (Terraform);
- Experience integrating with observability platforms (Prometheus, Grafana, Azure Monitor, or similar);
- Strong troubleshooting experience in production distributed systems;
- Experience in CI/CD pipelines with Azure DevOps;
- Upper-intermediate English level.
NICE TO HAVES
- Experience with multi-tenant service design;
- Observability / telemetry tooling expertise;
- Knowledge of data engineering / lakehouse patterns.
PERKS AND BENEFITS
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
As a Cloud Data Engineer (Kubernetes/Trino), you’ll play a key role in building a scalable, secure Trino platform that enables efficient access to Azure Data Lake across multiple teams. You’ll design and deploy high-availability AKS clusters, automate infrastructure with Terraform, and integrate modern authentication and observability tools. This role offers the opportunity to shape a production-grade, multi-tenant data service in a forward-thinking, cloud-first engineering environment.
WHAT YOU WILL DO
- Deploy and scale Trino clusters on Azure AKS with HA setup;
- Configure secure access to Azure Data Lake via SQL endpoint;
- Implement multi-tenancy and workload isolation for multiple team use;
- Integrate Azure AD / modern auth for user and service identity management;
- Collaborate on observability: metrics, logs, distributed tracing;
- Troubleshoot and resolve production issues across networking, authentication, and workloads;
- Manage infrastructure automation using Azure DevOps pipelines;
- Contribute to internal governance, security review, and cost approval processes.
MUST HAVES
- 8+ years of experience in Cloud Infrastructure / DevOps Engineering;
- 5+ years of Kubernetes experience (AKS preferred) covering deployment, scaling, security, RBAC, and HA workloads;
- Strong knowledge of Azure services: AKS, Azure AD, Networking (VNet, NSG, Subnets), Storage, Key Vault, Monitoring, and Cost Management;
- Experience with SQL engines, preferably Trino, Presto, or similar distributed query engines;
- Hands-on experience with infrastructure as code (Terraform);
- Experience integrating with observability platforms (Prometheus, Grafana, Azure Monitor, or similar);
- Strong troubleshooting experience in production distributed systems;
- Experience in CI/CD pipelines with Azure DevOps;
- Upper-intermediate English level.
NICE TO HAVES
- Experience with multi-tenant service design;
- Observability / telemetry tooling expertise;
- Knowledge of data engineering / lakehouse patterns.
PERKS AND BENEFITS
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
DevOps Engineer (Senior/Lead) ID42216
Office
Пловдив / Plovdiv, Bulgaria
Full Time
October 10, 2025