





Mid-level DevOps in Mumbai, generalist title and metro location drive high applicant competition.
Cloud, Kubernetes, and CI/CD skills are widely transferable across industries.
4+ years and mandatory expertise in Python, Kubernetes, cloud, and CI/CD make screening highly selective.
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Support development and deployment of Software-as-a-Service products from Heka.ai focused on Data Science business.
Manage cloud architecture, containerization, orchestration (Kubernetes), and cost optimization for data workloads.
Develop backend automation tools and CI/CD pipelines, contributing to technology and governance decisions for scaling data projects.
Engineering degree with 4+ years of relevant DevOps experience.
Proficient in Python and containerization technologies like Docker; experience with Kubernetes or similar orchestration tools.
Experience with cloud services (AWS, GCP, or Azure) and CI/CD automation tools.
Fluency in English (written and oral).
Experienced in supporting Data Science and Data Engineering projects with cloud-native DevOps practices.
Capable of managing containerized data workloads with Kubernetes in production environments.
Strong backend scripting/programming skills (Python) for automation and microservices development.