Terraform/Kubernetes developer
Listed on 2026-02-28
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IT/Tech
Location: Michigan () |
Employment Type: Full Time - 40 hours per week |
Job Level: T4 |
Work Preference: Onsite at work location address |
Job Code: 240225
Skills Required:
Design, automate and manage a highly available and scalable cloud deployment that allows development teams to deploy and run their services. Collaborating with engineering and Architects teams to evaluate and identify optimal cloud solutions, also leveraging scalability, high-performance and security. Modernize existing on-prem solution and improving existing systems. Extensively automated deployments and managed applications in GCP. Developing and maintaining cloud solutions in accordance with best practices.
Ensuring efficient functioning of data storage and processing functions in accordance with company security policies and best practices in cloud security. Collaborate with Engineering teams to identify optimization strategies, help develop self-healing capabilities. Experience in developing a strong observability capabilities. Identifying, analysing, and resolving infrastructure vulnerabilities and application deployment issues. Regularly reviewing existing systems and making recommendations for improvements.
Skills Preferred:
N/A
Experience
Required:
- Proven work experience in designing, deploying and operating mid to large scale public cloud environments.
- Professional Certification is an advantage. Public Cloud >> GCP is a good to have.
- Experience in package, config and deployment management via Helm, Customize, ArgoCD. Proven work experience in provisioning Infrastructure as Code (IaC) using Terraform Enterprise or community edition.
- Proven work experience in writing custom terraform providers/plug-ins with Sentinel Policy as Code Strong knowledge in Github, Dev Ops (Tekton is an advantage).
- Should be proficient in scripting and coding, that include traditional languages like Python, GoLang,Java, JS and Node.js.
- Extensive knowledge and hands-on experience in Grafana and Prometheus micro libraries.
- Exposure to Cloud Monitoring and logging. Experience with distributed storage technologies like NFS, HDFS, Ceph, S3 as well as dynamic resource management frameworks (Mesos, Kubernetes, Yarn) Experience with automation tools should be a priority
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