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Global employer, Bangalore metro, generalist senior DevOps role with broad in-demand skills yields high competition.
DevOps and cloud skills are broadly transferable, though big-data and banking context adds moderate domain specificity.
Mandatory 10+ years and extensive cloud, Kubernetes, CI/CD, and big-data requirements make screening highly strict.
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Lead development and operational management of large-scale Big Data pipelines using Apache Spark, Hadoop, and Hive within Azure environments.
Architect and manage Kubernetes-based infrastructure (on-premise and Azure AKS), including CI/CD pipelines automation with GitHub Actions and Jenkins for over 50 microservices.
Provide technical leadership across PostgreSQL cluster management, production support, observability, and team mentorship with responsibility for system reliability and deployment readiness.
10+ years of experience in software engineering, data engineering, or DevOps roles.
Strong hands-on expertise in Apache Spark (Java/Scala), Hadoop, Hive on Azure, Kubernetes, Docker, Azure Kubernetes Service (AKS), Jenkins, GitHub Actions, Ansible, and PostgreSQL HA with automation.
Proven experience with CI/CD strategy design and implementation, infrastructure as code (Terraform), networking fundamentals related to DNS, load balancers, ingress controllers, and production support of high-availability systems.
Location: Bangalore; Full-time role; Work Experience Required: 10+ years explicitly mentioned.
Experienced technical leader capable of hands-on engineering and guiding cross-functional teams in large-scale distributed systems and cloud-native environments.
Skilled in designing scalable, maintainable infrastructure and software using software craftsmanship principles, strong architectural judgment, and automation-first mindset.
Comfortable working within Agile/DevOps processes and collaborating with distributed teams including mentoring on coding practices, DevOps, and cloud infrastructure.