Infrastructure Automation Engineer

# 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)
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