:

- AWS, Databricks and Snowflake platform engineering, including infrastructure configuration, access management, deployment, integration, operational support and troubleshooting.

- GitLab DevOps & CI/CD pipelines

, including build/test/release workflows, approvals, quality gates, deployment automation and artefact management.

- DevOps engineering fundamentals

, including release automation, workplace management, deployment strategies, infrastructure/platform support, production troubleshooting and operational readiness.

- Fundamentals of at least one programming or scripting language

, with the ability to understand code, interpret logs and errors, troubleshoot applications and pipelines, support automation, and collaborate with engineering teams on code-level diagnosis.

- Kafka fundamentals

, including topics, partitions, producers/consumers, offsets, connectivity and operational troubleshooting.

- Experience supporting data engineering and cloud platform workloads across development and production environments.

Some other highly valued skills may include:

- Experience with

AWS services such as S3, IAM and KMS, including security, access management and operational troubleshooting.

- Experience with

Databricks administration and engineering

, including workspaces, clusters, SQL warehouses,



catalogs, schemas, service principals and access controls.

- Experience with

Snowflake

, including databases, schemas, roles/RBAC, connectivity, access management and operational support.

- Experience with Oracle from an operational perspective, including connectivity, runtime troubleshooting, performance awareness and deployment impacts.

- Strong understanding of observability and monitoring

, including AppDynamics (AppD), enterprise/platform monitoring, logging and alerting.

- Good working knowledge of

JIRA, GitLab and Agile delivery practices

.

- Understanding of

API engineering concepts

, including REST, authentication/security patterns, versioning and gateway/integration fundamentals.

- Exposure to security and controls

, including vulnerability scanning, secrets management and rotation, auditability, access governance and change management.

- Exposure to automation and Infrastructure-as-Code principles

, with an ability to reduce repetitive operational activities through engineering.

- Understanding of production support and incident management

, including analysing job failures, log investigation, root-cause identification and remediation.

📌 Lead Platform/ DevOps Engineer _Exp: 10+ Years (Pune)
🏢 Atyeti
📍 Pune