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Tech Stack
Tools & technologiesAnsibleAzureCloudDockerGoogle Cloud PlatformGrafanaJenkinsKubernetesLinuxOpenShiftPrometheusPython
About the role
Key responsibilities & impact- Design, build, and maintain enterprise DevOps platforms supporting software development and infrastructure teams
- Develop and manage CI/CD pipelines using Jenkins, Azure DevOps, or similar tools
- Implement Infrastructure as Code using Ansible or equivalent technologies
- Automate application deployment, infrastructure provisioning, configuration management, patching, and operational workflows
- Drive continuous improvement in deployment speed, reliability, security, and operational efficiency
- Support enterprise data center infrastructure, including virtualized environments, compute, storage, networking, and backup solutions
- Manage Linux-based environments supporting business-critical applications
- Integrate on-premises systems with cloud platforms for hybrid operations
- Participate in infrastructure lifecycle management, upgrades, patching, disaster recovery testing, and capacity planning
- Deploy, automate, and support AI/ML infrastructure platforms and services
- Support model training, inference, experimentation, and deployment environments
- Manage infrastructure for generative AI, LLMs, AI copilots, vector databases, and AI orchestration frameworks
- Establish monitoring, security, compliance, and reliability standards for AI solutions
- Design, deploy, and support workloads across Microsoft Azure and Google Cloud Platform
- Manage and optimize hybrid cloud environments, governance, security, identity management, cost optimization, and operational practices
- Troubleshoot complex platform issues with cloud vendors and internal teams
- Develop cloud migration, modernization, and platform engineering strategies
- Design and support containerized application platforms using Kubernetes, OpenShift, AKS, EKS, or GKE
- Manage cluster administration, networking, security, scalability, and operational health
- Implement monitoring, logging, and observability solutions
- Support production systems for availability, performance, and resiliency
- Participate in incident management, root cause analysis, problem management, and on-call rotations
- Develop operational runbooks and support procedures
- Apply Site Reliability Engineering principles
- Ensure compliance with security policies, audit requirements, and regulatory standards
- Support disaster recovery, business continuity, and resiliency initiatives
Requirements
What you’ll need- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
- 7+ years of experience in DevOps, Infrastructure Engineering, Cloud Engineering, or Platform Operations
- Experience supporting both on-premises infrastructure and cloud-based environments
- Extensive hands-on experience with Jenkins administration, pipeline development, automation, and integration
- Experience with CI/CD platforms such as Jenkins and Azure DevOps
- Experience implementing Infrastructure as Code using Ansible
- Strong Linux administration experience
- Hands-on experience with Kubernetes, Docker, and container orchestration platforms
- Experience supporting Azure or GCP environments
- Strong scripting and automation skills using PowerShell, Python, Bash, or similar languages
- Experience with enterprise monitoring tools such as Grafana, Prometheus, or Azure Monitor
- Strong troubleshooting, problem-solving, and communication skills
- Background check may be required
- Preferred: Multi-cloud experience across Azure and GCP
- Preferred: Azure DevOps Engineer Expert, Azure Solutions Architect, or related certifications
- Preferred: Experience managing large-scale hybrid cloud transformations
- Preferred: Knowledge of platform engineering and self-service infrastructure models
- Preferred: Experience supporting retail, distribution, supply chain, or large-scale customer-facing platforms
Benefits
Comp & perks- Bonus pay eligibility
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Flexible and accommodating work environment
- Continuous learning and growth environment
- Inclusive workplace