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.

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