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:

o Terraform

o Kubernetes

o Azure infrastructure knowledge

o Best practices in operations and maintainability

Job Summary and Technology Stack

Trino (open-source distributed SQL engine)

Azure Kubernetes Service (AKS)

Azure DevOps

Service Launch Criteria process

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.

Azure Data Lake

· 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

Trino clusters on Azure AKS

Azure Data Lake via SQL endpoint

· Implement multi-tenancy and workload isolation for multiple team use.

Azure AD / modern auth

· Collaborate on observability: metrics, logs, distributed tracing.

· Troubleshoot and resolve production issues across networking, authentication, and workloads.

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.

Azure services

Trino, Presto, or similar distributed query engines

infrastructure as code (Terraform)

observability platforms

production distributed systems

CI/CD pipelines

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).

multi-tenant service design

· Observability / telemetry tooling expertise.

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