Cloud & Infrastructure Engineer

Experience: 6-8 years

Location: Pune

Role Overview:

We are looking for a Cloud & Infrastructure Engineer to design, implement, operate, and secure both on-premises Linux/Kubernetes infrastructure and public cloud environments used by ML Engineers, Infrastructure Engineers, and application teams. This role combines end-to-end Kubernetes cluster lifecycle management with cloud infrastructure engineering - spanning automation, infrastructure-as-code, networking, identity and access management, security hardening, CI/CD, and cost optimization.

Key Responsibilities:

AI-Enabled Engineering

• Collaborate with Agentic AI models to optimize and streamline engineering processes (agentic optimization engineering)

Linux & Kubernetes Cluster Administration

• Manage and operate Linux-based infrastructure, services, and systems
• Own and operate Kubernetes clusters across their end-to-end lifecycle, including provisioning, configuration, maintenance, upgrades, and operational management
• Support Kubernetes administration and container-platform operations

Cloud Infrastructure

• Own and administer cloud environments and infrastructure for engineering teams
• Design, implement, and operate scalable public, private, and hybrid cloud infrastructure
• Design and implement cloud networking solutions
• Monitor and optimize cloud infrastructure performance and availability
• Perform cloud cost analysis, optimization, and ongoing cost management

Automation & Infrastructure as Code

• Automate infrastructure and operational activities across on-prem and cloud environments
• Build and manage Infrastructure as Code (IaC) using tools such as Terraform and Ansible
• Support CI/CD pipelines and cloud-based application deployments

Security & Access Management

• Apply infrastructure, platform, and cloud security controls
• Implement and manage Identity and Access Management (IAM) and Role-Based Access Control (RBAC)
• Manage permissions and ensure secure access to cloud and cluster resources
• Support security hardening of operating systems and networks
• Handle data-sensitivity and security-related configuration requirements

Collaboration

• Work with ML Engineers, DevOps Engineers, and application teams to provision required infrastructure
• Partner with engineering and infrastructure teams to maintain reliable enterprise environments
• Must be available for on-call support as needed
• Ability to collaborate effectively with Agentic AI models
• Capability to optimize repetitive processes and workflows using agentic/autonomous engineering approaches

Required Skills & Experience:

Technical Skills

• Strong Linux administration skills
• Strong Kubernetes administration and cluster lifecycle management experience; Helm knowledge preferred
• Strong experience with at least one major public cloud platform (AWS, Microsoft Azure, or GCP); exposure to multiple platforms preferred
• Experience working across public, private, and hybrid cloud environments
• Hands-on experience with Infrastructure as Code - Terraform and/or Ansible (or equivalent)
• Strong knowledge of cloud networking, IAM, RBAC, and security controls
• Experience with CI/CD pipelines and deployment processes
• Understanding of OS and network hardening
• Understanding of infrastructure security and data-sensitivity controls

Soft Skills

• Strong troubleshooting and analytical skills
• Strong sense of ownership over Kubernetes and cloud environments
• Ability to work effectively with cross-functional engineering teams
• Good communication and documentation skills

Certifications (Preferred)

• Relevant Kubernetes certifications such as CKA/CKAD
• Professional-level cloud certifications in AWS, Azure, or GCP (entry-level/foundational certifications carry less weight)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.