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Tier-1 brand, generalist DevOps title, metro location, and broad skill requirements drive high competition.
Enterprise multi-cloud and SaaS focus increases domain specificity, limiting cross-industry transferability moderately.
Explicit 7+ years, Azure preference, and multiple mandatory infra tools make screening highly strict.
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Architect and build the foundational, scalable, multi-tenant SaaS infrastructure and platform for Ema's AI products.
Automate provisioning, deployment, and configuration management using tools like Terraform, Ansible, Kubernetes, and develop CI/CD pipelines with GitHub Actions or Cloud Build.
Ensure system reliability, performance, and security focusing on public cloud environments (AWS, Azure, GCP) and infrastructure resilience (Kubernetes, Helm, Istio).
Bachelor's or Master's degree in Computer Science or related field.
7+ years of experience in Infrastructure Engineering or similar role, preferably with Azure.
Experience designing and deploying scalable SaaS solutions on public cloud platforms (AWS, Azure, GCP).
Work mode: Hybrid role with expectation to work from office three days a week in Bangalore, India.
Experienced in building cloud-native infrastructure from scratch in fast-paced early-stage startup environments with high velocity demands.
Proficient in Kubernetes, Terraform, Helm, Istio and CI/CD pipeline optimization.
Familiar with multi-cloud architectures, automation of infrastructure tasks, and working with distributed systems and machine learning infrastructure.