Sr DevOps Engineer, Advanced (DevOps, AWS, Kubernetes, Terraform)

Gartner
Full_timeβ€’Gurgaon, India

πŸ“ Job Overview

  • Job Title: Senior DevOps Engineer, Advanced (DevOps, AWS, Kubernetes, Terraform)
  • Company: Gartner
  • Location: Gurgaon, Haryāna, India
  • Job Type: Hybrid
  • Category: DevOps Engineer
  • Date Posted: June 21, 2025
  • Experience Level: 10+
  • Remote Status: On-site/Hybrid

πŸš€ Role Summary

  • Lead the design, deployment, and management of scalable cloud infrastructure primarily on AWS and other public cloud platforms.
  • Collaborate closely with software engineers, architects, and operations teams to support CI/CD pipelines and infrastructure as code using tools like Terraform and Jenkins.
  • Leverage expertise in Kubernetes, Python, and Terraform to drive automation and innovation in the cloud infrastructure.
  • πŸ“ Enhancement Note: This role requires a strong background in AWS, Kubernetes, and Terraform, with a focus on cloud infrastructure management and automation. Familiarity with AI/ML integration is a plus.

πŸ’» Primary Responsibilities

  • Cloud Infrastructure Management:

    • Design, deploy, and manage scalable cloud infrastructure on AWS and other public cloud platforms.
    • Ensure high availability, fault tolerance, and disaster recovery for the infrastructure.
    • Implement best practices for cloud security, compliance, and governance within the DevOps lifecycle.

  • Kubernetes Cluster Management:

    • Manage Kubernetes clusters for container orchestration and application deployments.
    • Collaborate with engineering teams to support the DevOps execution strategy for different projects.
    • Participate in capacity planning, load testing, and incident response, including 24x7 on-call rotations.

  • Automation and Tooling Development:

    • Develop and maintain automation scripts and tools using Python to streamline infrastructure management, deployment, and monitoring.
    • Research and evaluate new cloud technologies and DevOps tools to continuously improve the infrastructure and automation capabilities.

  • Collaboration and Mentoring:

    • Collaborate closely with software engineers, architects, and operations teams to support CI/CD pipelines and infrastructure as code.
    • Mentor junior engineers and promote knowledge sharing within the team.

πŸŽ“ Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant certifications (e.g., AWS Certified Solutions Architect, DevOps Engineer, CKA, CKAD) are a plus.

Experience: 7+ years of experience in IT infrastructure, cloud engineering, or DevOps roles with a strong focus on AWS and public cloud services. Proven expertise in Kubernetes cluster management and advanced proficiency in Python scripting for automation and tooling development.

Required Skills:

  • Advanced proficiency in Python scripting for automation and tooling development.
  • Solid experience with Infrastructure as Code (IaC) tools such as Terraform.
  • Strong understanding of Linux operating systems, networking, and security principles in cloud environments.
  • Experience with monitoring, alerting, and log management tools.
  • Knowledge of integrating AI/ML solutions into DevOps processes is highly desirable.

Preferred Skills:

  • AWS certifications (e.g., AWS Certified Solutions Architect, DevOps Engineer).
  • Kubernetes certifications (CKA, CKAD).
  • Experience with CI/CD tools like Jenkins, GitLab CI/CD, or equivalent.
  • Familiarity with AI/ML solutions and their integration into DevOps processes.

πŸ“Š Web Portfolio & Project Requirements

Portfolio Essentials:

  • Demonstrate experience in cloud infrastructure management, Kubernetes cluster management, and automation using Python, Terraform, and other relevant tools.
  • Showcase projects that highlight your ability to design, deploy, and manage scalable cloud infrastructure on AWS and other public cloud platforms.
  • Include examples of your problem-solving skills, such as troubleshooting issues and optimizing cloud resources to meet service level objectives.

Technical Documentation:

  • Provide documentation for your cloud infrastructure, including architecture diagrams, deployment processes, and server configuration details.
  • Include code comments and documentation that explain your approach to automation and tooling development.
  • Demonstrate your understanding of cloud security, compliance, and governance best practices by including relevant documentation in your portfolio.

πŸ’΅ Compensation & Benefits

Salary Range: INR 1,800,000 - 2,500,000 per annum (Estimated based on market standards for a Senior DevOps Engineer role in Gurgaon, India)

Benefits:

  • Competitive health, dental, and vision insurance plans.
  • Retirement savings plan with company match.
  • Generous time-off policies, including vacation, sick time, and paid holidays.
  • Employee assistance program for mental health and wellness.
  • Tuition reimbursement and professional development opportunities.
  • On-site gym, cafeteria, and other employee perks.

Working Hours: 40 hours per week, with flexible working hours and remote work options available.

🎯 Team & Company Context

Company Culture:

  • Industry: Technology and professional services.
  • Company Size: Large (21,000+ associates globally).
  • Founded: 1979.
  • Team Structure: The team consists of software engineers, architects, operations teams, and other DevOps professionals. The team follows Agile methodologies and collaborates closely to deliver results for clients.
  • Development Methodology: The team follows Agile/Scrum methodologies, with a focus on continuous integration, continuous delivery, and continuous improvement.

Company Website: Gartner

πŸ“ˆ Career & Growth Analysis

Web Technology Career Level: Senior DevOps Engineer, Advanced - This role involves leading the design, deployment, and management of scalable cloud infrastructure, with a focus on automation and innovation. The ideal candidate will have 7+ years of experience in IT infrastructure, cloud engineering, or DevOps roles, with a strong focus on AWS and public cloud services.

Reporting Structure: This role reports directly to the Cloud and DevOps Manager and collaborates closely with software engineers, architects, and operations teams.

Technical Impact: The Senior DevOps Engineer, Advanced will have a significant impact on the design, deployment, and management of the company's cloud infrastructure. Their work will ensure high availability, fault tolerance, and disaster recovery for the infrastructure, while also driving automation and innovation in the cloud infrastructure.

Growth Opportunities:

  • Technical Growth: Expand your expertise in cloud infrastructure management, automation, and AI/ML integration to take on more complex projects and challenges.
  • Leadership Development: Develop your leadership skills by mentoring junior engineers and collaborating with other teams to drive projects forward.
  • Architecture Decisions: Contribute to architecture decisions that shape the future of the company's cloud infrastructure and drive business value.

🌐 Work Environment

Office Type: Hybrid - A combination of on-site and remote work, with a focus on collaboration and flexibility.

Office Location(s): Gurgaon, India - The office is located in Cyber Park, with easy access to public transportation and nearby amenities.

Workspace Context:

  • Collaborative Workspace: The office features open-plan workspaces that encourage collaboration and communication between team members.
  • Development Tools: The team provides access to the latest development tools, multiple monitors, and testing devices to ensure optimal productivity.
  • Cross-Functional Collaboration: The team works closely with other departments, such as software engineering, architecture, and operations, to deliver results for clients.

Work Schedule: Flexible working hours and remote work options are available to accommodate individual needs and preferences.

πŸ“„ Application & Technical Interview Process

Interview Process:

  1. Technical Phone Screen: A 30-minute phone screen to assess your technical skills and understanding of the role's requirements.
  2. On-site Technical Assessment: A half-day on-site assessment, including a technical deep dive, architecture discussion, and problem-solving exercises.
  3. Behavioral Interview: A 30-minute behavioral interview to assess your cultural fit and problem-solving skills.
  4. Final Review: A final review with the hiring manager to discuss your fit for the role and the team.

Portfolio Review Tips:

  • Highlight your experience in cloud infrastructure management, Kubernetes cluster management, and automation using Python, Terraform, and other relevant tools.
  • Include examples of your problem-solving skills, such as troubleshooting issues and optimizing cloud resources to meet service level objectives.
  • Showcase your understanding of cloud security, compliance, and governance best practices by including relevant documentation in your portfolio.

Technical Challenge Preparation:

  • Brush up on your Python scripting skills, with a focus on automation and tooling development.
  • Familiarize yourself with AWS services, Kubernetes, and Terraform best practices.
  • Prepare for architecture discussions and problem-solving exercises that focus on cloud infrastructure management and automation.

ATS Keywords:

  • Programming Languages: Python, Bash, AWS CLI
  • Web Frameworks: Terraform, Kubernetes, Jenkins
  • Server Technologies: AWS, Kubernetes, Docker
  • Databases: None specified
  • Tools: AWS CloudFormation, AWS Elastic Beanstalk, AWS Lambda, AWS CloudWatch, AWS CloudTrail, AWS IAM, AWS RDS, AWS S3, AWS EC2, AWS ECS, AWS EKS, AWS Fargate, AWS Route 53, AWS Certificate Manager, AWS WAF, AWS Shield, AWS VPC, AWS Direct Connect, AWS Transit Gateway, AWS VPN, AWS Network Firewall, AWS GuardDuty, AWS Macie, AWS Inspector, AWS Secrets Manager, AWS Systems Manager, AWS OpsWorks, AWS Elastic Load Balancing, AWS Auto Scaling, AWS Elastic Container Service, AWS Elastic Kubernetes Service, AWS Elastic Load Balancing, AWS Auto Scaling, AWS Elastic Container Service, AWS Elastic Kubernetes Service, AWS Elastic Load Balancing, AWS Auto Scaling, AWS Elastic Container Service, AWS Elastic Kubernetes Service, AWS Elastic Load Balancing, AWS Auto Scaling, AWS Elastic Container Service, AWS Elastic Kubernetes Service, AWS Elastic Load Balancing, AWS Auto Scaling, AWS Elastic Container Service, AWS Elastic Kubernetes Service, AWS Elastic Load Balancing, AWS Auto Scaling, AWS 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Application Requirements

7+ years of experience in IT infrastructure, cloud engineering, or DevOps roles with a strong focus on AWS and public cloud services is required. Proven expertise in Kubernetes cluster management and advanced proficiency in Python scripting for automation and tooling development is essential.