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Mid-level, metro role with a general Software Engineer title and 3–6 years increases competition.
Kubernetes, operators, and Go expertise transfer well within cloud-native and AI infrastructure firms but less elsewhere.
Explicit 3–6 years plus mandatory Kubernetes, Go/Python, operators and CI/CD skills increases shortlisting strictness.
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Develop and maintain Kubernetes-native services, controllers, and Operators to enable AI workload deployment and operations for ClusterWareAI platform.
Build and improve platform APIs, automation, CI/CD pipelines, and infrastructure tooling for scalable, reliable cloud-native solutions.
Collaborate with AI engineers and backend developers to integrate AI services and troubleshoot Kubernetes clusters and distributed applications.
Bachelor's degree in Computer Science, Engineering, or related field.
3–6 years of software engineering experience.
Strong programming skills in Go or Python; hands-on experience with Kubernetes application development.
Location: Hybrid in Bangalore, India.
Experienced in building Kubernetes Operators using Kubebuilder or Operator SDK and with GitOps tools like Helm, Argo CD, or Flux.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and infrastructure as code tools such as Terraform.
Comfortable working in a hybrid environment collaborating across AI, backend, and platform teams for complex cloud-native infrastructure.