Cloud Automation Engineer

Job Summary

We are seeking an experienced Cloud Automation Engineer to design, develop, and implement

automated solutions for managing and scaling our infrastructure. As a Cloud Engineer, you will

leverage your software engineering skills to build tools, frameworks, and pipelines that

streamline infrastructure provisioning, configuration, deployment, and monitoring. Youll partner

closely with SREs, DBREs, CloudOps, and application teams to ensure Reliability, Scalability,

Resilience, Security, Cost optimization and Operational Excellence.

Key Responsibilities

• Infrastructure Automation

Design, implement, and maintain Infrastructure as Code (IaC) solutions using tools such

as Terraform, CRD, Pulomi, to automate Infra provisioning and management.

• CI/CD, Deployment & Orchestration

Build & Manage CI/CD framework, platforms & pipelines (e.g., Github Actions, JenkinsX,

GitLab, ArgoCD) for infrastructure and applications deployments, ensuring seamless and

safe delivery processes across environments.

• Hybrid Cloud Management

Automate across hybrid cloud (e.g., AWS, Azure, GCP) ensuring consistency, scalability,

and security.

• Monitoring & Observability

Develop automation for monitoring setup, alerting, and self-healing/fault response,

integrating with tools like Prometheus, Grafana, Observe or NewRelic.

• Operational Excellence

Improve infrastructure reliability by automating routine maintenance, patching, and

backup processes.

• Collaboration & Support

Work with application, platform, and SRE teams to define requirements, develop

solutions, and hand off automation to operations

• Documentation & Best Practices

Create and maintain comprehensive documentation for automation workflows,

infrastructure patterns, and runbooks; contribute to developing Cloud engineering best

practices.

Requirements

• Bachelor’s degree in computer science, Engineering, or related field (or equivalent

practical experience).

• 10+ years of experience in infrastructure software engineering, systems engineering, or

Reliability Engineering roles.

• Infrastructure as Code: Strong hands-on experience in Terraform, Pulumi, CRD etc.

• Proficiency in Coding languages (Go or Python).

• Experience with container management and orchestration (Docker, Kubernetes, Helm).

• Working knowledge of CI/CD pipelines, version control (Git), and related tooling.

• Observability as Code: Good knowledge with monitoring, logging, and alerting stacks.

• Solid understanding of networking, security, and troubleshooting.

• Strong troubleshooting skills and a passion for automation and process improvement.

• Excellent communication skills and ability to work in a collaborative team environment.

• Exposure to hybrid/multi-cloud architectures.

• Background in performance tuning, cost optimization, or incident response automation.