Gartner

Senior DevOps Engineer

Gartner

full-time

Posted on:

Location Type: Office

Location: Gurgaon • 🇮🇳 India

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Job Level

Senior

Tech Stack

AWSCloudDistributed SystemsJenkinsPythonShell ScriptingTerraform

About the role

  • Collaborate with a cross-functional team of application developers, operations engineers, architects to understand complex product requirements and translate them into automated solutions
  • Collaborate with Data Scientists, ML Engineers, and Cloud Architects to optimize solutions for performance, cost, and scalability
  • Ensure best practices in cloud security, compliance, and monitoring are followed
  • Support automation of operational tasks and proactive monitoring of AI/ML workloads
  • Lead technical discussions to ensure solutions are designed for successful deployment, security, and high availability in the cloud
  • Design, implement, and maintain server, storage, network, and security infrastructure as code
  • Build reusable pipelines for application deployments
  • Write and maintain code for automating the creation of scalable/resilient systems/infrastructure with a focus on immutability and containers
  • Develop, implement, and test automated data backup and recovery, and disaster recovery procedures across multiple regions
  • Write and maintain clear, concise documentation, runbooks and operational standards including infrastructure diagrams
  • Drive Automation efforts across the organization utilizing Infrastructure as Code (IaC) using Terraform, Configuration Management, and Continuous Integration (CI)/Continuous Delivery (CD) tools such as Jenkins
  • Design and deploy scalable, highly available, and fault tolerant distributed systems
  • Continuously identify, adopt, & refine best practices
  • Educate/mentor product teams and junior engineers.

Requirements

  • MS or BS degree in computer science or related focus, or equivalent experience with 4-7 yrs in AWS cloud, infrastructure management and automation development
  • Hands-on expertise in AWS services: EKS, EMR, Lambda, IAM, S3, Step Functions, CloudWatch, Serverless services
  • Experience with Terraform (IaC) for provisioning and managing cloud resources
  • Good knowledge of CI/CD tools (Jenkins) and pipeline automation
  • Familiarity with AI/ML concepts, MLOps workflows, and cloud-based ML lifecycle management
  • Familiarity with Agentic AI concepts and experience in implementing autonomous/Agent driven AI workflows
  • Strong programming skills in Python, proficiency in Shell scripting.
Benefits
  • World-class benefits
  • Highly competitive compensation
  • Flexibility to work virtually when productive
  • Supportive community

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AWSTerraformPythonShell scriptingCI/CDInfrastructure as CodeAutomation developmentData backup and recoveryDisaster recoveryCloud security
Soft skills
CollaborationTechnical discussionsMentoringDocumentationBest practices refinement
Certifications
MS degree in computer scienceBS degree in computer science