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Protocol Intelligence
Data-driven signals on your job's competitivenessGeneralist mid-level DevOps role in Bengaluru with broad cloud and Kubernetes requirements increases competition.
Core cloud, Kubernetes, IaC skills transfer well, though security and AI/ML platform context raises domain specificity.
Explicit 5-10 years plus many mandatory cloud, Kubernetes, GitOps, and IaC skills create strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and delivery of scalable, secure SaaS platform solutions with end-to-end ownership from design to production readiness.
Drive AI-driven automation and AIOps capabilities for cloud-native infrastructure, including self-healing and validated recovery workflows.
Establish and improve CI/CD practices, Kubernetes reliability, resource management, and platform standards across AWS, Azure, and GCP environments.
Minimum Requirements
5-10 years of relevant DevOps/platform engineering experience.
Strong Linux/Unix administration skills (Red Hat or Ubuntu preferred).
Hands-on experience with AWS, Azure, and/or GCP and Kubernetes platform design and operation in SaaS or production environments.
Strong programming skills in Python and experience with Infrastructure as Code tools like Helm, Terraform, and GitOps tools (Argo CD, Flux CD).
Ideal Candidate Profile
Experienced in cloud-native platform architecture with a strategic focus on reliability, security, and scalability across multi-cloud environments.
Proven technical leadership collaborating with cross-functional teams including product, security, engineering, and SRE to deliver mission-critical projects.
Strong background in designing automated, AI-assisted CI/CD pipelines and platform observability using tools like Prometheus, Grafana, ELK, and OpenTelemetry.