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: ASAP  1 Client round of interviews : · Client L1: Technical evaluation – focused on o Terraform o Kubernetes o Azure infrastructure knowledge o Best practices in operations and maintainability Job Summary and Technology Stack CUSTOMER 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 kaushalraj.choudhary@latentbridge.com with subject - Cloud Data Engineer