TENEX.AI
Staff Site Reliability Engineer
Remote, USA · Remote · Staff · Full-time · Posted Jul 13, 2026
- Experience
- 10+ years; SRE, DevOps, or Software/Systems Engineering.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
About the job
Designs and operates reliable, scalable infrastructure and operational systems for TENEX’s AI-driven cybersecurity platform.
What you'll do
- Build and maintain highly available, scalable, secure infrastructure; automate deployment, incident response, and capacity planning.
- Monitor and optimize infrastructure performance for low-latency, high-throughput AI workloads; lead incident response and post-mortems.
- Manage cloud infrastructure as code and collaborate with Engineering, Product, and Security teams to embed reliability across development.
What they ask for
- 10+ years of experience in SRE, DevOps, or Software/Systems Engineering, particularly managing production systems at scale.
- Expertise in public cloud environments (AWS, GCP, or Azure), Kubernetes, networking, and storage.
- Extensive experience with Terraform, Pulumi, or similar infrastructure-as-code tools; hands-on experience with monitoring, logging, and tracing.
- Understanding of microservices, distributed databases, and event-driven systems; strong communication, leadership, and analytical skills.
Nice to have
- Cybersecurity experience, especially SIEM, EDR, or SOAR infrastructure; or experience with large-scale AI/ML workloads.
- Familiarity with agentic workflows such as Agno or Temporal; startup or enterprise SaaS experience.
Tools
AWS, GCP, Azure, Kubernetes (EKS/GKE), Terraform, Pulumi, Prometheus, Grafana
AI focus
Supports infrastructure for an AI-driven cybersecurity platform, including performance optimization for AI workloads; AI/ML infrastructure experience such as GPU scheduling or LLM serving optimization is preferred.
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