DevOps Engineer, Infrastructure & Platforms
Full-time
Ricursive Intelligence
Responsibilities
- Design, build, and extend the self-managed cloud platform and infrastructure-as-code patterns using Terraform.
- Own day-to-day platform deployments across multiple environments, including performance, security, reliability, and scalability.
- Design, implement, and operate production CI/CD pipelines in GitHub Actions.
- Architect scalable AI tooling and developer experience workflows across multiple user environments.
- Build an observability stack covering pipeline health, application metrics, and ML workloads.
- Collaborate with physical design engineers and work within security and deployment restrictions.
Requirements
- Bachelor’s degree in computer science, computer engineering, electrical engineering, or a closely related technical field, or equivalent practical experience.
- At least 4 years of hands-on infrastructure or platform engineering experience with ownership of systems used by others.
- Experience owning production infrastructure-as-code architecture, including maintenance and new features.
- Experience designing and implementing production CI/CD pipelines that ship reproducible artifacts with attention to performance, scalability, and security.
- Experience with observability tooling for pipeline health and application-level metrics.
- Preferred: hands-on experience with GCP, Kubernetes, and GitHub Actions, including custom runner setups.
- Preferred: experience operating ML infrastructure for training and evaluation workloads using GPU or TPU compute.
- Preferred: familiarity with LLM observability, tracing, evaluations, and cost and latency monitoring.
- Preferred: security experience including dependency supply-chain hardening, OIDC-based authentication, least-privilege secrets, SOC 2, or penetration testing.
- Preferred: early-stage startup experience building infrastructure from zero or near-zero.
Vacancy posted 2 days ago
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