Staff Site Reliability Engineer

TENEX.AI

Staff Site Reliability Engineer responsible for designing resilient infrastructure and automating operational workflows in developing effective cybersecurity solutions. Join a fast-growing, AI-native MDR provider.

Posted 7/14/2026full-timeCalifornia • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable, secure cloud infrastructure, with a strong focus on automation, performance engineering, and incident management. Proven ability to collaborate across teams and drive reliability in AI-native cybersecurity platforms.

Highest-signal resume keywords

10+ Years Experience in SRE, DevOps, or Software EngineeringDeep Expertise in AWS, GCP, or AzureExtensive Experience with Terraform or PulumiHands-On Experience with Prometheus, Grafana, or ELKStrong Problem-Solving and Analytical Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Infrastructure as CodePerformance EngineeringIncident ManagementCloud Infrastructure ManagementDistributed Systems UnderstandingAI/ML Infrastructure SupportAutomation DevelopmentMonitoring and ObservabilityCapacity PlanningMicroservices Architecture

Soft Skills

Clear Communication SkillsCollaborative Problem-SolvingLeadership in Multi-Stakeholder Initiatives

Tools & Technologies

Kubernetes (EKS/GKE)PrometheusGrafanaELKDatadogTerraformPulumiAgentic WorkflowsSIEMEDR

Industry Keywords

CybersecurityAI-Native PlatformsHigh-Impact EngineeringStartup MentalityEnterprise SaaS

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityDistributed SystemsGoogle Cloud PlatformGrafanaKubernetesMicroservicesPrometheusTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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 is nice-to-have.
AI/ML Infrastructure: Experience supporting infrastructure for large-scale AI/ML workloads (e.g., GPU scheduling, LLM serving optimization) is nice-to-have.
Startup Mentality: Background driving high-impact engineering initiatives in high-growth startups or enterprise SaaS is nice-to-have.
Strong familiarity with Agentic Workflows such as Agno, Temporal, etc. is nice-to-have.

Benefits

Comp & perks

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