Cloud Data Engineer

· Job Title : Cloud Data Engineer (Kubernetes / Trino)· No. of resources: 2· Location: India(Pune/Bangalore/Bhopal/Remote)· Experience Level: 8+yrs· Client interview rounds: 1· Start date: ASAP1 Client round of interviews :· Client L1:  Technical evaluation – focused ono Terraformo Kuberneteso Azure infrastructure knowledgeo Best practices in operations and maintainabilityJob Summary and Technology StackCUSTOMER intends to introduce Trino (open-source distributed SQL engine)  as a shared service to provide teams with secure, scalable access to Azure Data Lake tables via a SQL TCP endpoint .The deployment will be based on Azure Kubernetes Service (AKS) , with high availability, modern authentication, multi-tenancy support, and strong workload isolation.Integration with Azure DevOps  will drive CI/CD automation. Observability and telemetry will be key focus areas, working closely with the SRE and observability teams  to ensure production-grade reliability.The service must successfully pass CUSTOMER’s Service Launch Criteria process , including security, networking, and cloud cost reviews.The selected engineers will be responsible for:· Designing, deploying, and maintaining Trino clusters on AKS with HA and workload isolation.· Implementing authentication, authorization, and tenancy features for multi-team usage.· Ensuring seamless integration with Azure Data Lake  and internal security standards.· Collaborating with observability/telemetry teams to implement monitoring, alerting, and tracing.· Working with the SRE team to troubleshoot production issues and maintain service SLAs.· Driving compliance with internal Service Launch Criteria (security reviews, cost approvals, etc.).Key Responsibilities of the selected candidate·  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.Skills and experience:·  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.Must to have skillsets:· Kubernetes (AKS) HA deployment and operations.· Strong Azure Cloud expertise (networking, auth, storage, monitoring).· Infrastructure as Code (Terraform, Azure DevOps).· Production troubleshooting skills (networking, auth, distributed systems).Good to have skillsets· Experience with SQL engines (Trino, Presto, or equivalent).· Experience with multi-tenant service design .· Observability / telemetry tooling expertise.· Knowledge of data engineering / lakehouse patterns .Soft skills:· Strong problem-solving and troubleshooting abilities.· Ability to work independently and collaborate across multiple teams (SRE, observability, data engineering).· Clear communication and documentation skills for cross-team coordination.· Flexibility to adapt in a dynamic environment with evolving requirements.· Proactive mindset for automation, cost optimization, and security.Share your CV at with subject - Cloud Data Engineer