# Infrastructure Automation Engineer

> Weekday AI · Hyderabad, India · Full-time · Posted 2026-07-13

**Salary:** INR 1,400,000–3,300,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of Weekday’s clients  
Salary range: Rs 1400000 - Rs 3300000 (ie INR 14 - 33 LPA)**

  
Min Experience: 6+ years  
Location: Hyderabad  
JobType: full-time

We are looking for an experienced **Infrastructure Automation Engineer** with **6–11 years of professional experience** in designing, automating, and managing modern cloud infrastructure. The ideal candidate will have deep expertise in **Kubernetes**, **Infrastructure Automation**, and **AI Agent** technologies, with a passion for building scalable, resilient, and self-healing infrastructure platforms. You will play a critical role in streamlining infrastructure operations, improving deployment reliability, and enabling engineering teams through automation-first practices.

In this role, you will collaborate with software engineers, platform teams, DevOps professionals, and security stakeholders to build highly available infrastructure that supports mission-critical applications. You will leverage automation frameworks, container orchestration platforms, and intelligent AI-driven operational tools to improve system efficiency, reduce manual intervention, and accelerate software delivery.

## Requirements

### Key Responsibilities

-   Design, implement, and maintain scalable infrastructure automation solutions across cloud and hybrid environments.
-   Build, manage, and optimize Kubernetes clusters for high availability, security, and performance.
-   Develop automation workflows for infrastructure provisioning, configuration management, and deployment pipelines.
-   Integrate AI Agent capabilities to automate infrastructure operations, monitoring, incident response, and system optimization.
-   Implement Infrastructure as Code (IaC) practices to ensure consistent, repeatable, and version-controlled infrastructure deployments.
-   Collaborate with engineering teams to improve application deployment strategies and operational efficiency.
-   Monitor infrastructure health, troubleshoot production issues, and implement proactive improvements.
-   Automate system maintenance, scaling, backups, disaster recovery, and operational tasks.
-   Ensure infrastructure adheres to security, compliance, and governance standards.
-   Participate in architecture discussions and recommend improvements for platform scalability and reliability.
-   Create technical documentation, automation playbooks, and operational runbooks.
-   Mentor junior engineers and promote automation best practices across engineering teams.

### Required Skills

### Must-Have Skills

-   Strong expertise in **Kubernetes**, including cluster deployment, administration, networking, storage, scaling, and troubleshooting.
-   Proven experience building and maintaining **Infrastructure Automation** solutions using Infrastructure as Code and automation frameworks.
-   Hands-on experience working with **AI Agent** technologies to automate infrastructure management, operational workflows, or intelligent system monitoring.
-   Strong understanding of cloud infrastructure, distributed systems, networking, and containerized environments.
-   Experience implementing CI/CD pipelines and deployment automation.
-   Proficiency in scripting using Python, Bash, or similar automation languages.
-   Strong troubleshooting, performance tuning, and infrastructure optimization skills.
-   Experience with monitoring, logging, and observability platforms.
-   Excellent analytical, communication, and collaboration skills.

### Good-to-Have Skills

-   Experience as a **Linux Administrator**, including system configuration, performance tuning, user management, networking, and security.
-   Hands-on experience with **Ansible** for configuration management and infrastructure automation.
-   Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
-   Experience with GitOps methodologies and container security practices.
-   Knowledge of service mesh technologies, infrastructure monitoring, and disaster recovery planning.
-   Exposure to DevSecOps and compliance automation.

### Qualifications

-   Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
-   **6–11 years** of experience in infrastructure engineering, DevOps, platform engineering, or infrastructure automation.
-   Demonstrated experience managing production-scale Kubernetes environments and implementing enterprise-grade automation solutions.
-   Strong understanding of cloud-native architecture and modern infrastructure management practices.

### What We Offer

-   Opportunity to work on cutting-edge cloud-native infrastructure and AI-driven automation initiatives.
-   Exposure to large-scale distributed systems and modern platform engineering practices.
-   Collaborative engineering culture focused on innovation, automation, and continuous improvement.
-   Competitive compensation, comprehensive benefits, and professional development opportunities.
-   A high-impact role with opportunities to influence infrastructure strategy and technical direction.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/F2F38E2369/apply)

---
Powered by [Workable](https://www.workable.com)