Staff Site Reliability Engineer

TENEX.AI; United States; Remoto; USD 180.000 - 240.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Descrizione del lavoro

TENEX.AI is seeking a Staff Site Reliability Engineer to drive the scalability, reliability, and performance of our AI-driven cybersecurity platform. You will design resilient infrastructure, automate operations, and collaborate across engineering teams to elevate production reliability.

Bring 10+ years in SRE/DevOps, cloud experience (AWS/GCP/Azure), and strong IaC, observability, and distributed systems skills. This role emphasizes collaboration and rapid delivery in a startup environment.

Competenze

• 10+ years of experience in SRE, DevOps, or software/systems engineering, managing production systems at scale.
• Public cloud experience (AWS, GCP, or Azure) with Kubernetes (EKS/GKE), networking, and storage.
• Experience with Terraform, Pulumi, or similar IaC tools for complex deployments.
• Hands-on observability: Prometheus, Grafana, ELK, Datadog for reliability decisions.
• Strong understanding of distributed systems, microservices, and event-driven architectures.

Mansioni

• Design, build, and maintain highly available, scalable, and secure infrastructure for our AI-native platform.
• Develop internal tooling to automate deployments, incident response, and capacity planning.
• Monitor performance and optimize infrastructure for low latency and high throughput AI workloads.
• Lead incident management, conduct post-mortems, and implement durable fixes.
• Drive IaC practices across cloud environments (AWS/GCP).
• Collaborate with engineering, product, and security to bake reliability into the lifecycle from concept to production.

Conoscenze

System resilience

Automation & tooling

Performance engineering

Incident management

Infrastructure as Code

Cross-functional collaboration

Communication

Leadership alignment

Analytical rigor

Formazione

Bachelor’s or Master’s degree in CS/Engineering

Certifications: CKA/CKAD, AWS/GCP Architect

Strumenti

Terraform

Pulumi

Kubernetes (EKS/GKE)

Prometheus

Grafana

ELK stack

Datadog

Descrizione del lavoro

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.