SRE DevOps Automation Engineer
Hewlett Packard Enterprise
CloudGoJavaJavaScriptKubernetesPython
Job Level
Mid-LevelSenior
Tech Stack
AnsibleAWSAzureCloudDockerGoogle Cloud PlatformGrafanaGraphQLITSMJenkinsKubernetesPrometheusPythonRPAServiceNowSOAPTerraform
About the role
- In the Age of AI, Cprime reshapes operating models and rewires workflows to deliver enterprise transformation. We are your Intelligent Orchestration Partner, combining strategic consulting with industry-leading platforms to drive innovation, enhance efficiency, and shift your enterprise toward AI native thinking. For over 20 years, we've changed the way companies operate by transforming their people, processes, and technology, including partnering with 300 of the Fortune 500 companies. In this new era, Cprime helps companies unlock unprecedented speed and efficiency by embedding AI at the core of their business and infusing it into every function, process, and team.
- Role Overview:
- We are seeking an experienced Automation Engineer who will be responsible for designing, developing, and maintaining automation workflows, integrations, and platforms. The ideal candidate should have strong expertise in scripting, DevOps tools, cloud environments, and enterprise-grade automation frameworks to streamline business processes and improve operational efficiency.
Requirements
- Bachelor’s or Master’s degree in Computer Science, IT, or related field, or equivalent work experience.
- 6+ years of experience in automation engineering, DevOps, or platform integration roles.
- Strong scripting skills: Python, PowerShell, or Bash.
- Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps).
- Experience with containerization & orchestration (Docker, Kubernetes, AKS, EKS, or GKE).
- Familiarity with cloud platforms (Azure, AWS, or GCP).
- Experience with infrastructure as code (Terraform, Ansible, or equivalent).
- Knowledge of monitoring & observability tools (Prometheus, Grafana, ELK, etc.).
- Exposure to API integrations (REST, SOAP, GraphQL).
- Strong problem-solving, debugging, and troubleshooting skills. Soft Skills:
- Strong analytical and logical thinking.
- Excellent communication and collaboration skills.
- Ability to work in cross-functional teams.
- Adaptability to dynamic and fast-paced environments.
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