DevOps Engineer
Apex Systems Inc
Hey Everyone,
Pat from Apex Everforth here, coming to you with an exclusive role for a Devops engineer speacializing in GCP. This is a contract to hire position, sponsorship will not be offered now or in the future, and conversion has to full time doesn't come with immigration support. I can pay 50-55/hr on w2. As always if you apply my ai assistant riley will give you a call but if you are the best fit for this spot send your resume to [email protected] for direct communication with me!DevOps Engineer Location: 4 days hybrid in Northwestern Arkansas Role Overview We are seeking a DevOps Engineer to support our demand forecasting and MLOps teams. This role involves enhancing our data pipelines, which include feature creation, model training, and consumption. The position will contribute to the data pipeline, backend software engineering, DevOps, and quality components of our systems that integrate with upstream and downstream supply chain and replenishment processes. Key Responsibilities
- Own and maintain CI/CD pipelines across multiple engineering teams using tools such as GitHub Actions or Cloud Build.
- Manage GCP infrastructure utilizing Terraform and other infrastructure-as-code tools.
- Administer GKE clusters, containerized workloads, and Kubernetes infrastructure.
- Support MLOps pipeline needs, including model deployment workflows and container registry management.
- Implement and maintain monitoring, alerting, and observability tooling like Cloud Monitoring and Grafana.
- Drive reliability engineering practices, including defining SLOs, managing incident response, and creating runbooks.
- Manage secrets, IAM policies, and platform security configurations.
- 3+ years of experience in a DevOps or platform engineering role.
- Hands-on experience with GCP services such as GKE, Cloud Build, Artifact Registry, Cloud Storage, and IAM.
- Proficiency in Terraform or equivalent infrastructure-as-code tooling.
- Strong administration skills in Kubernetes, including deployment, scaling, networking, and RBAC.
- Experience building and maintaining CI/CD pipelines.
- Solid scripting ability in Python, Bash, or a similar language.
- Experience supporting ML/AI workloads, including model serving infrastructure and GPU provisioning.
- GCP Professional DevOps Engineer or Cloud Architect certification.
- Familiarity with ArgoCD, Helm, or GitOps workflows.
- Experience in retail or with high-transaction-volume systems.
Vacancy posted 18 hours ago
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