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Urgent! Cloud Data Engineer Job | LatentBridge

Cloud Data Engineer



Job description

· 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.

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