Staff Site Reliability Engineer

TENEX.AI

3d • Hybrid

About The Position

As a Staff Site Reliability Engineer at TENEX, you will be a key technical driver responsible for ensuring the scalability, reliability, and performance of our AI-driven cybersecurity platform. You will play a crucial role in designing resilient infrastructure, automating operational workflows, and shaping the future of our production environments while collaborating across engineering teams to drive technical excellence.

Requirements

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

Nice To Haves

• 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).
• Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS.
• Strong familiarity with Agentic Workflows such as Agno, Temporal, etc..
• Relevant certifications (CKA/CKAD, AWS/GCP Professional Cloud Architect, etc.) are a plus.

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.

Benefits

• Competitive salary and benefits package.
• A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior