Staff Site Reliability Engineer TENEX.AI · Remote · US · Site Reliability $160,981–$217,500 e 3mo ago

Devopsroles; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

TENEX is an AI-native MDR startup seeking a Staff Site Reliability Engineer to design resilient infrastructure for our AI-driven cybersecurity platform. You will automate operations, improve deployment processes, and collaborate across Engineering, Product, and Security to ensure reliability from concept to production.

The role demands 10+ years in SRE/DevOps, strong cloud/Kubernetes expertise, and deep experience with IaC and observability.

Qualifications

• 10+ years in SRE/DevOps or related field.
• Cloud expertise in AWS, GCP, or Azure with Kubernetes experience.
• Experience with IaC tools such as Terraform or Pulumi.
• Hands-on observability with Prometheus, Grafana, ELK, Datadog.
• Understanding of microservices and distributed systems.

Responsibilities

• Design, build, and maintain highly available, scalable infrastructure.
• Develop tooling to automate deployments, incidents, and capacity planning.
• Monitor performance and optimize for low-latency AI workloads.
• Lead incident response, post-mortems, and long-term fixes.
• Manage infrastructure via code across cloud environments (AWS, GCP).
• Collaborate with Engineering, Product, and Security to bake reliability into development.

Skills

System resilience

Automation

Performance engineering

Incident management

IaC

Observability

Distributed systems

Communication

Leadership

Analytical thinking

Education

Bachelor's or Master's degree in Computer Science or Engineering

Relevant certifications (CKA/CKAD, AWS/GCP Architect)

Tools

Terraform

Pulumi

Kubernetes (EKS/GKE)

Prometheus

Grafana

ELK/Datadog observability

Job description

Company Overview

TENEX is an AI-native, automation-first, built-for-scale Managed Detection and Response (MDR) provider. We are a force multiplier for defenders, helping organizations enhance their cybersecurity posture through advanced threat detection, rapid response, and continuous protection. Our team is composed of industry experts with deep experience in cybersecurity, automation, and AI-driven solutions. Backed by leading investors, we are rapidly growing and seeking top talent to join our mission of revolutionizing the AI-Native MDR landscape.

We're a fast-growing startup backed by industry experts and top-tier investors led by Crosspoint Capital Partners and also backed by Shield Capital, DTCP (formerly Deutsche Telekom Capital Partners), Deepwork Capital, and the Florida Opportunity Fund. Seed round led by Andreessen Horowitz (a16z). As an early employee, you'll play a meaningful role in defining and building our culture. Get in on the ground floor. We're a small but well-funded team that just raised a substantial round - joining now comes with limited risk and unlimited upside.

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.

Culture is one of the most important things at TENEX.AI-explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work.

You will Bring:

• 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.

Required Skills & Qualifications

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.

Soft Skills

• 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.

• 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.

Why Join Us?

• 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!