tenex - Staff Site Reliability Engineer
Requirements
• SRE & INFRASTRUCTURE EXPERTISE • 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. • Domain Background: Prior work in cybersecurity, specifically regarding SIEM, EDR, or SOAR infrastructure. • AI/ML Infrastructure: Experience supporting infrastructure for large-scale AI/ML workloads (e.g., GPU scheduling, LLM serving optimization). • Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS. • Strong familiarity with Agentic Workflows such as Agno, Temporal, etc.. • EDUCATION & CERTIFICATIONS • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Relevant certifications (CKA/CKAD, AWS/GCP Professional Cloud Architect, etc.) are a plus.
Responsibilities
• System Resilience: Design, build, and maintain highly available, scalable, and secure infrastructure to support our AI-native cybersecurity platform. • Automation & Tooling: Develop internal tooling and automation to streamline deployment processes, incident response, and capacity planning. • Performance Engineering: Monitor system performance and proactively identify bottlenecks, optimizing infrastructure for low-latency, high-throughput AI workloads. • Incident Management: Lead incident response efforts, conduct post-mortems, and implement long-term solutions to prevent recurring reliability issues. • Infrastructure as Code (IaC): Manage infrastructure via code, driving consistency, auditability, and scalability across our cloud environments (e.g., AWS, GCP). • Cross-Functional Collaboration: Partner with sibling Engineering teams, Product, and Security teams to ensure reliability is baked into our development lifecycle from concept to production.
Benefits
• Opportunity to work with cutting-edge AI-driven cybersecurity technologies and Google SecOps solutions. • Collaborate with a talented and innovative team focused on continuously improving security operations and system reliability. • Competitive salary and benefits package. • A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies. • If you're passionate about building resilient infrastructure, scaling AI systems, and working at the intersection of reliability and security, we encourage you to apply!
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