Overview
Senior technical leader to design, engineer, automate and operate enterprise cloud and Kubernetes platforms across cloud, datacenter, manufacturing and edge environments, combining hands-on engineering with technical leadership.
What you'll do
- Design, build and operate enterprise cloud and Kubernetes platform capabilities across AWS, Azure, hybrid, on-premises and edge environments.
- Translate architectural standards into reusable engineering patterns, automation, platform services and operational capabilities.
- Lead technical design and implementation for strategic platform initiatives.
- Establish engineering best practices for platform development, deployment, lifecycle management and operational support.
- Mentor engineering teams and provide technical guidance across platform initiatives.
- Design and implement Kubernetes capabilities including cluster lifecycle management, worker node design and scaling, networking and ingress, storage integration, secrets and certificate management, platform observability, backup and recovery, and security controls and policy enforcement.
- Support deployment patterns for engineering and validation environments, production edge environments, MES/SCADA-supporting platforms and GPU-enabled workloads.
- Guide Kubernetes version management, upgrade strategies, supportability and operational readiness.
- Develop reusable infrastructure modules and deployment frameworks using Terraform and approved automation technologies.
- Implement GitOps deployment patterns using Argo CD or approved alternatives.
- Drive automation-first approaches for provisioning, configuration management, upgrades, compliance validation and operational support.
- Build repeatable deployment patterns that reduce operational effort while improving consistency and quality.
- Integrate security, compliance and operational controls into platform delivery processes.
- Implement CI/CD pipelines supporting infrastructure, platform services and Kubernetes lifecycle activities.
- Support vulnerability management, policy enforcement, secrets management and certificate management capabilities.
- Define and improve platform reliability, availability, observability, backup and recovery capabilities.
- Develop automated validation and qualification frameworks for Kubernetes releases, infrastructure profiles, storage and network integrations, security controls, platform services, edge deployments and GPU-enabled configurations.
- Contribute to platform certification and supportability programs.
- Support development of platform standards, support matrices and operational runbooks.
- Drive continuous improvement through automation, standardization, measurement and operational feedback.
- Partner with architects, security, infrastructure, operations and application teams to deliver platform capabilities.
- Participate in architecture reviews and technology evaluations, and help define engineering roadmaps and implementation plans.
What you'll need
- Bachelor's or Master's Degree with 5+ years of total experience.
- Experience in Platform Engineering, Cloud Engineering, DevOps, Site Reliability Engineering (SRE), Infrastructure Engineering or related technical disciplines.
- Strong knowledge of AWS and/or Azure cloud platforms.
- Hands-on experience with Kubernetes platforms such as Amazon EKS, Azure Kubernetes Service (AKS), OpenShift, RKE2 or equivalent enterprise Kubernetes platforms.
- Experience with Infrastructure as Code (Terraform preferred), CI/CD pipelines, GitOps, Linux administration, containers and container platforms, cloud networking and security, and observability and monitoring solutions.
- Experience implementing highly available, secure and scalable platform solutions.
- Strong troubleshooting and problem-solving skills.
- Excellent communication and collaboration skills.
Nice to have
- Experience with AWS Control Tower, Landing Zones, Account Governance and Cloud Security services.
- Experience with Argo CD, Helm and modern Kubernetes platform tooling.
- Experience with JFrog Artifactory or enterprise artifact management solutions.
- Experience with Security Hub, CloudTrail, CloudFront, Audit Manager, Azure security services and related governance tooling.
- Experience in manufacturing, edge computing, industrial or distributed platform environments.
- Experience supporting disconnected or intermittently connected environments.
- Experience with GPU-enabled infrastructure and AI/ML platforms.
- Experience with platform qualification, testing and release certification practices.
- Strong scripting and automation skills using Python, PowerShell, Bash, JavaScript or similar technologies.
- Relevant cloud, DevOps, Terraform, Kubernetes or security certifications.
Details
- Location: Bangalore, India.
- Work hours: 1 PM to 10 PM IST.
- Relocation assistance: Yes.
Read the full description and apply on the company’s own careers page.