Jobs → Engineering → DevOps Engineer

DevOps Engineer

Gannguly Sales RecruiterUnited StatesSENIORPosted 11d ago
AWSDataAI PlatformsDevOpsplatform engineeringinfrastructure engineeringsite reliability engineeringAWS DevOpscloud networkingsecurityarchitectureproduction operationsAWS infrastructure-as-codeAWS CloudFormationTerraformOpenTofuPythonBash/Shell scriptingLinuxUnixCI/CDGitHub ActionsGitLab CI/CDHarnessArgo CDJenkinsGitHubGitLabAzure DevOpsKubernetesSnowflakedbtAirflowMLOpsGenAIAI-assisted engineering toolsobservabilitytroubleshootingincident responseoperational documentationOIDCworkload identity federationenterprise secretscredential management
About the Role We are looking for a DevOps Engineer to join our team. This role focuses on building scalable backend systems and supporting data platforms. Key Responsibilities • Design and implement RESTful APIs • Lead code reviews and mentor junior developers • Collaborate with product team on technical requirements • Support data platforms and workloads using Snowflake, dbt, and Airflow • Implement security and compliance controls in change-controlled or regulated environments Requirements • 10+ years of experience in DevOps, platform engineering, infrastructure engineering, or site reliability engineering • 5+ years of hands-on AWS DevOps or platform engineering experience • 5+ years of AWS infrastructure-as-code experience, including AWS CloudFormation and Terraform/OpenTofu • 5+ years of Python programming for automation and tooling, along with Bash/Shell scripting in Linux/Unix environments • 5+ years of CI/CD engineering experience using technologies such as GitHub Actions, GitLab CI/CD, Harness, Argo CD, Jenkins • 5+ years working with GitHub, GitLab, or Azure DevOps repositories • 5+ years supporting Kubernetes and containerized application orchestration • Experience deploying data platforms and workloads using Snowflake, dbt, and Airflow • Working knowledge of MLOps for machine learning and/or GenAI • Practical experience with AI-assisted engineering tools • Strong observability, troubleshooting, incident response, and operational documentation skills • Excellent communication and collaboration skills • Ability to work independently, manage competing priorities, and deliver with minimal supervision

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