Platform Engineer (Cloud-Native AI/ML Systems Integration)
Skills
- Production experience with Kubernetes platform engineering
- Strong containerization skills (Docker, Helm, OCI)
- Hands-on Infrastructure as Code experience (Terraform, Ansible)
- CI/CD and DevSecOps pipeline development and automation
- Experience with monitoring and observability stacks (Prometheus, Grafana)
- Familiarity with data pipelines and ML-enabled system support
- Comfort operating in secure, regulated, or classified environments
Responsibilities
- Architect and operate Kubernetes platforms for AI/ML workloads
- Build and manage containerized environments using Docker and Helm
- Design and optimize data ingestion and model lifecycle pipelines
- Integrate AI/ML services into secure, mission-critical systems
- Develop and maintain Infrastructure as Code (Terraform, Ansible)
- Build and enhance CI/CD and DevSecOps pipelines (GitLab, Jenkins, GitHub Actions)
- Implement observability and monitoring (Prometheus, Grafana) for system health and performance
- Collaborate with cross-functional teams to translate requirements into deployable systems
- Operate within classified or constrained environments and adhere to security controls
Education
- Bachelor's degree in Computer Science, Software Engineering, or related field preferred
- Equivalent professional experience accepted in place of degree
- Relevant certifications (CKA, Terraform, cloud certs) are a plus
Benefits
- Paid certifications and professional development
- 401(k) with 100% match up to 6%
- Highly competitive paid time off
- Comprehensive medical, dental, and vision coverage
- Life insurance plus short- and long-term disability
- Home office and equipment plan
- Industry-leading weekly pay schedule
Average salary estimate
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