DevOps EngineerAbout the Business & Position OverviewJob ProfileKey Responsibilities Key Result Areas (KRAs)

1. Cloud Infrastructure Management
- Design, deploy, and maintain secure, scalable, and highly available cloud infrastructure across AWS, Azure, or GCP.
- Ensure optimal utilization of cloud resources while maintaining performance and cost efficiency.
- Implement disaster recovery, backup, and business continuity solutions.

Success Measure

- 99.9% infrastructure availability.
- Reduced cloud operational costs through optimization initiatives.

- CI/CD Pipeline Automation

- Build, maintain, and enhance CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, or similar tools.
- Streamline application build, testing, and deployment processes.
- Improve deployment frequency while reducing release failures.

Success Measure

- Increased deployment automation coverage.
- Reduced deployment time and manual intervention.
- Lower change failure rate.

- Containerization & Kubernetes Management

- Manage containerized application deployments using Docker and Kubernetes.
- Monitor cluster health, performance, scalability, and resource utilization.
- Optimize container orchestration and deployment strategies.

Success Measure

- High application uptime and cluster stability.
- Improved application scalability and resource efficiency.

- Monitoring, Logging & Incident Management

- Implement and maintain monitoring and observability solutions using Prometheus, Grafana, ELK Stack, or equivalent tools.
- Proactively identify and resolve performance bottlenecks and infrastructure issues.
- Participate in root cause analysis and incident resolution.

Success Measure

- Reduction in Mean Time to Detect (MTTD).
- Reduction in Mean Time to Resolve (MTTR).
- Increased system reliability and service availability.

- Automation & Scripting

- Develop automation scripts using Shell, Python, or PowerShell.
- Eliminate repetitive operational tasks through automation.
- Enhance deployment and infrastructure management efficiency.

Success Measure

- Increased automation coverage.
- Significant reduction in manual operational effort.

- Security & DevSecOps Compliance

- Implement security best practices across infrastructure and deployment pipelines.
- Manage vulnerability assessments, patching, access controls, and compliance requirements.
- Integrate security checks into CI/CD workflows.

Success Measure

- Timely remediation of security vulnerabilities.
- Compliance with organizational and industry security standards.

- System Reliability & Performance Optimization

- Ensure platform stability, scalability, and performance.
- Conduct capacity planning and performance tuning activities.
- Support high availability architecture and fault-tolerant systems.

Success Measure

- Achievement of defined SLA/SLO targets.
- Improved infrastructure performance and system reliability.

- Cross Functional Collaboration & Support

- Collaborate with Development, QA, Security, and Infrastructure teams to support application delivery.
- Provide technical guidance and troubleshoot complex production issues.
- Support technology upgrades and transformation initiatives.

Success Measure





- Successful project deliveries within timelines.
- Positive stakeholder feedback and reduced operational escalations.

- Continuous Improvement & Innovation

- Evaluate emerging DevOps tools, cloud services, and automation practices.
- Drive process improvements and operational excellence initiatives.
- Promote DevOps culture and best practices across teams.

Success Measure

- Number of improvement initiatives implemented.
- Measurable gains in deployment efficiency, reliability, and cost optimization.

- Design, implement, and maintain highly available, scalable, and secure cloud infrastructure across AWS, Azure, or GCP environments.
- Build, optimize, and manage end-to-end CI/CD pipelines using tools such as Jenkins, GitHub Actions, and Azure DevOps.
- Automate infrastructure provisioning and configuration management using Terraform, Ansible, CloudFormation, or similar IaC tools.
- Deploy, manage, and support containerized applications using Docker and Kubernetes.
- Develop automation scripts and tools using Shell, Python, or PowerShell to streamline operational processes.
- Monitor system performance, availability, and security using tools such as Prometheus, Grafana, ELK Stack, and other observability platforms.
- Troubleshoot infrastructure, deployment, networking, and application-related issues in production and non-production environments.
- Implement and maintain DevSecOps practices, including vulnerability management, compliance, and security automation.
- Collaborate with development, QA, and operations teams to improve release management and deployment efficiency.
- Ensure business continuity through backup, disaster recovery, and high availability solutions.
- Continuously evaluate and recommend improvements to infrastructure architecture, automation processes, and operational practices.

Qualification Details Essential Qualification: Required Skills & Qualifications

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- AWS, Azure, Kubernetes, or DevOps-related certifications will be an added advantage.

Preferred Qualification:

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- AWS, Azure, Kubernetes, or DevOps-related certifications will be an added advantage.

Experience Details Essential Experience:

- 5-6 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or related roles.
- Strong hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Expertise in CI/CD tools including Jenkins, GitHub Actions, and Azure DevOps.
- Experience with Infrastructure as Code (IaC) using Terraform, Ansible, CloudFormation, or equivalent tools.
- Strong experience with Docker, Kubernetes, Helm,



and container orchestration platforms.
- Proficiency in scripting and automation using Shell, Python, or PowerShell.
- Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar solutions.
- Good understanding of Linux/Windows system administration and troubleshooting.
- Strong knowledge of networking concepts including DNS, TCP/IP, VPN, Load Balancing, Firewalls, and Security Groups.
- Experience with Git-based version control systems and collaborative development workflows.
- Knowledge of microservices architecture and cloud-native application deployment.

Preferred Experience:

- 5-6 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering (SRE), or related roles.
- Strong hands-on experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Expertise in CI/CD tools including Jenkins, GitHub Actions, and Azure DevOps.
- Experience with Infrastructure as Code (IaC) using Terraform, Ansible, CloudFormation, or equivalent tools.
- Robust experience with Docker, Kubernetes, Helm, and container orchestration platforms.
- Proficiency in scripting and automation using Shell, Python, or PowerShell.
- Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or similar solutions.
- Good understanding of Linux/Windows system administration and troubleshooting.
- Strong knowledge of networking concepts including DNS, TCP/IP, VPN, Load Balancing, Firewalls, and Security Groups.
- Experience with Git-based version control systems and collaborative development workflows.
- Knowledge of microservices architecture and cloud-native application deployment.

Special Skill Essential:

- The candidate should have strong expertise in AWS, Azure, GCP, CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and Infrastructure as Code using Terraform, Ansible, or CloudFormation. Hands-on experience with Docker, Kubernetes, and containerized deployments is essential. Strong scripting skills in Shell, Python, or PowerShell and experience with monitoring tools such as Prometheus, Grafana, and ELK Stack are required. The role involves managing cloud environments, automating deployments, ensuring system availability, security, scalability, and troubleshooting infrastructure issues. Knowledge of networking, system administration, DevSecOps, and microservices architecture is highly preferred.

Preferred:

- The candidate should have strong expertise in AWS, Azure, GCP, CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and Infrastructure as Code using Terraform, Ansible, or CloudFormation. Hands-on experience with Docker, Kubernetes, and containerized deployments is essential. Strong scripting skills in Shell, Python, or PowerShell and experience with monitoring tools such as Prometheus, Grafana, and ELK Stack are required. The role involves managing cloud environments, automating deployments, ensuring system availability, security, scalability, and troubleshooting infrastructure issues. Knowledge of networking, system administration, DevSecOps, and microservices architecture is highly preferred.

Locations

- Mumbai

📌 Devops Engineer (India)
🏢 Godrej Infotech
📍 India