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Eaton Corporation Senior DevOps Engineer in Hadapsar, India

What you’ll do:

Experienced senior DevOps Engineer to lead and elevate our cloud infrastructure, DevOps practices, and site reliability engineering initiatives. The ideal candidate will have a proven track record of managing cloud platforms, container orchestration, modern CI/CD workflows, and automation solutions. This role requires a balance of technical depth, leadership skills, and collaboration across teams. The position is designed for those who thrive in a hybrid work environment and are excited to tackle complex infrastructure challenges.

"Key Responsibilities:

• Cloud Infrastructure: Architect, deploy, and maintain scalable Azure cloud-based infrastructures.

• Kubernetes & Containers: Design, deploy, and manage Kubernetes clusters and containerized environments with an emphasis on high availability, fault tolerance, and scalability.

• CI/CD Pipeline Management: Lead the design and implementation of modern CI/CD pipelines using platforms like Github Actions, Azure Devops, Jenkins, or similar.

• Infrastructure as Code (IaC): Develop and manage infrastructure automation using tools such as Terraform, Ansible, and other IaC solutions to ensure consistency, scalability, and agility.

• DevOps Optimization: Extend solutions to optimize cloud infrastructure and DevOps workflows, driving continuous improvements.

• Performance & Cost Optimization: Continuously optimize cloud infrastructure for performance, cost efficiency, and security, ensuring sustainable scalability.

• Troubleshooting: Troubleshoot and resolve complex infrastructure and application issues, minimizing downtime and ensuring high system reliability.

• Scripting & Automation: Develop and maintain scripts and automation tools in Bash/Shell, Python, or Go to streamline operations.

• Networking & Security: Apply networking fundamentals (DNS, firewalls, load balancing, virtual networks, private endpoints) to improve system architecture and ensure security compliance.

• Collaboration & Mentorship: Collaborate with cross-functional teams to enhance developer productivity, system reliability, and operational efficiency. Mentor and guide team members, promoting best practices in DevOps and cloud operations.

• Compliance & Monitoring: Ensure infrastructure and systems adhere to security, compliance, and monitoring standards, with a focus on proactive management.

Qualifications:

B.E. (10+6 Years)

6-8 Years

• 6 to 8 years in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).

Skills:

Azure DevOps, DevSecOps

Excellent communication skills and the ability to work with various cultures across the globe

• Proven experience in deploying and managing large-scale cloud infrastructure on Azure, AWS, or GCP.

• Kubernetes and containerization technologies (Docker, Helm, etc.)

• Strong experience with modern CI/CD tools like Github actions, Azure Devops, Jenkins, or similar platforms.

• Proficiency in scripting languages such as Bash/Shell and programming languages like Python or Go.

• Hands-on experience with Terraform and Ansible for infrastructure automation and configuration management.

• Solid understanding of Linux administration and networking principles (DNS, firewalls, load balancing, Vnet etc.).

• Expertise in cloud performance optimization, cost control, and security best practices.

• Ability to drive cloud, performance and cost and DevOps optimizations.

• Excellent problem-solving and troubleshooting abilities, particularly in large-scale and distributed systems.

• Exceptional communication and collaboration skills, able to work across teams and geographies.

• Strong leadership abilities with a focus on mentoring and fostering a culture of continuous improvement.

• Adaptable to a hybrid work environment, balancing remote and office-based work.

• Passionate about learning and staying up to date with emerging technologies in the DevOps and cloud ecosystem.

• Certification in Azure Cloud would be added advantage.

• Experience with observability tools like Dynatrace, Prometheus, Grafana, ELK stack, or Datadog.

• Familiarity with microservices and service mesh technologies.

• Proven experience in leading large-scale migration or cloud transformation projects."

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