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

Solid 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)

📌 Forward Deployed Engineer (FDE) (Pune)
🏢 Emergys
📍 Pune