We are looking for an experienced Cloud DevOps Engineer with a strong background in Google Cloud Platform (GCP) to join our team. The ideal candidate will bring deep experience in modern DevOps practices, infrastructure as code, container orchestration, and distributed systems. You will play a key role in designing, developing, migrating and maintaining cloud-native solutions and infrastructure, including migrating Databricks jobs and enabling marketplace product deployments.
Key Responsibilities
Design and implement scalable infrastructure solutions across GCP
Migrate applications from the Azure platform to GCP
Manage and deploy resources using Terraform, ensuring infrastructure is codified, version-controlled, and repeatable
Lead the containerization and orchestration of services using Kubernetes
Support and optimize the deployment of marketplace products such as Apache Pulsar and Aerospike
Handle Databricks job migrations, ensuring smooth transition with minimal impact on performance
Work closely with engineering and data teams to integrate and support PostgreSQL/SQL and distributed NoSQL databases
Develop and manage CI/CD pipelines for fast, reliable deployments
Collaborate on building capabilities around campaign management using GCP tools and APIs
Monitor, troubleshoot, and improve system performance, scalability, and reliability
Required Qualifications
Strong experience with Azure or GCP cloud platforms with knowledge of GCP good to have.
Proficiency in Terraform and infrastructure as code practices
Solid hands-on experience with Kubernetes and container-based deployments
Working knowledge of Apache Pulsar and/or similar messaging systems
Experience with distributed NoSQL databases such as Aerospike
Strong skills in PostgreSQL or general SQL
Experience in Databricks, especially around job migration
Familiarity with GCP campaign management capabilities through APIs and integrations
Solid scripting or programming skills (Python, Bash, etc.)
Preferred Qualifications
Certification in Azure, GCP, or Kubernetes (CKA, CKAD, etc.)
Experience with CI/CD tools (GitLab CI, Jenkins, etc.)
Familiarity with monitoring and logging tools (Prometheus, Grafana, Stackdriver)
Previous experience in a high-scale, data-intensive environment
Work Location: Bengaluru (Hybrid)
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