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Mid-level Bangalore DevOps role with popular tools and niche Hadoop skills yields moderate competition.
Specialized DevOps+big-data skills transfer across sectors but require domain expertise.
Multiple mandatory technologies and explicit 5+ years make hiring filters stringent.
Design, implement, and manage automated CI/CD pipelines and containerized environments using Jenkins, GitOps, Kubernetes, and OpenShift.
Architect and support big data distributed platforms with Hadoop, Spark, and Kafka ensuring performance, scalability, and reliability.
Collaborate across development, operations, security, and infrastructure teams to optimize platform delivery, monitoring, and operational support with security and cost efficiency.
Minimum 5+ years experience in DevOps, platform engineering, infrastructure engineering, or data engineering roles.
Hands-on expertise with CI/CD pipeline design and management using Jenkins and GitOps practices.
Proven experience deploying and managing containerized applications with Kubernetes and OpenShift, and infrastructure as code with Terraform or Ansible.
Practical experience with big data technologies including Hadoop, Spark, and Kafka in distributed data architectures.
Experienced in managing cloud and on-premise containerized big data platforms with strong operational troubleshooting skills.
Skilled at cross-functional collaboration with development, security, and infrastructure stakeholders in enterprise or regulated environments.
Deep understanding of secure infrastructure, compliance, automation, monitoring, and sustainable resource optimization in complex data processing ecosystems.