Staff Site Reliability Engineer

Job Responsibilities

• Design, build, and maintain highly available, scalable, and secure infrastructure to support our AI-native cybersecurity platform.
• Develop internal tooling and automation to streamline deployment processes, incident response, and capacity planning.
• Monitor system performance and proactively identify bottlenecks, optimizing infrastructure for low-latency, high-throughput AI workloads.
• Lead incident response efforts, conduct post-mortems, and implement long-term solutions to prevent recurring reliability issues.
• Manage infrastructure via code, driving consistency, auditability, and scalability across our cloud environments (e.g., AWS, GCP).
• Partner with sibling Engineering teams, Product, and Security teams to ensure reliability is baked into our development lifecycle from concept to production.

Required Skills & Qualifications

• Core Engineering: 10+ years of experience in SRE, DevOps, or Software/Systems Engineering, particularly in managing production systems at scale.
• Cloud Infrastructure: Deep expertise in public cloud environments (AWS, GCP, or Azure) and managing services such as Kubernetes (EKS/GKE), networking, and storage.
• Infrastructure as Code: Extensive experience with tools like Terraform, Pulumi, or similar technologies to manage complex infrastructure deployments.
• Observability: Hands-on experience with monitoring, logging, and tracing stacks (e.g., Prometheus, Grafana, ELK, Datadog) to drive data-informed reliability decisions.
• Distributed Systems: Solid understanding of microservices architecture, distributed databases, and event-driven systems.
• Communication: Clear, concise communication skills and a bias for collaborative problem-solving.
• Leadership Alignment: Proven track record of guiding multi-stakeholder initiatives and influencing engineering practices across teams.
• Analytical Rigor: Strong problem-solving, debugging, and analytical skills, especially in high-pressure environments.

Nice-to-have Domain Background

• Prior work in cybersecurity, specifically regarding SIEM, EDR, or SOAR infrastructure.
• Experience supporting infrastructure for large-scale AI/ML workloads (e.g., GPU scheduling, LLM serving optimization).

Culture

We prioritize the irreplaceable collaboration and community of in-person work. Explore our culture deck at culture.tenex.ai.

Location

This role will require Monday - Thursday onsite in any of our locations. WFH Friday.