SRE Platform Software Engineer – Early Career, Temporary

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Develop, test, and implement features for essential SRE platform components, which encompass collection agents, telemetry pipelines, alert systems, and cluster health services.

• Execute infrastructure and application updates utilizing GitOps methodologies, declarative configurations, and automated CI/CD pipelines.

• Monitor, evaluate, and enhance system metrics, logs, and traces to maintain high availability across GPU infrastructure.

• Engage in learning and participate in the on-call rotation for services managed by the team.

• Create comprehensive runbooks and incident post-mortem reports.

• Produce unit, integration, and end-to-end tests to ensure platform reliability prior to production deployment.

• Collaborate with senior engineers to transform architect-approved designs into production-ready code.

• Assist in operating critical services utilized by other teams, cloud groups, and tenants.

• Ensure infrastructure remains drift-free through the Plugin Framework and established operational practices.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field (or equivalent practical experience/internships).

• 0–2 years of practical software development experience.

• Proficient in Go (preferred), Java, or Rust.

• Strong scripting capabilities in Python or Bash.

• Solid foundational understanding of data structures, algorithms, object-oriented design, and concepts of distributed systems, including APIs, concurrency, and networking basics.

• Hands-on experience with Docker, Kubernetes, and Linux fundamentals through coursework, personal projects, open-source contributions, or internships.

• Experience in writing unit and integration tests for personal code.

• Strong technical writing abilities for documenting design decisions, runbooks, and clear Pull Request descriptions.

• Previous internship or project experience with Kubernetes Operators, Helm, or GitOps tools such as ArgoCD or Flux is a significant advantage.

• Familiarity with time-series databases or observability tools such as Prometheus, OpenTelemetry, Grafana, or Loki is a strong plus.

• Basic knowledge of hardware, GPU/AI infrastructure like NVIDIA DCGM and CUDA, or concepts related to high-performance computing is a strong plus.

• Familiarity with infrastructure-as-code tools such as Terraform or Ansible is a plus.

🏝️ Benefits

• Full-time employment.

• Mentored on-call rotation and early-career development in collaboration with senior engineers.

• Equal employment opportunities and a commitment to non-discrimination.