3 months ago
Remote, United StatesStaff+
Responsibilities
- Design, build, and maintain highly available, scalable, and secure infrastructure for the AI-native cybersecurity platform.
- Develop internal tooling and automation for deployments, incident response, and capacity planning.
- Monitor and optimize infrastructure for low-latency, high-throughput AI workloads.
- Lead incident response, conduct post-mortems, and implement lasting reliability improvements.
- Manage cloud infrastructure as code across environments such as AWS and GCP.
- Collaborate with Engineering, Product, and Security teams to incorporate reliability throughout the development lifecycle.
- Guide cross-functional technical initiatives and drive engineering practices across teams.
Requirements
- 10+ years of experience in SRE, DevOps, or software/systems engineering managing production systems at scale.
- Deep expertise with public cloud environments including AWS, GCP, or Azure, plus Kubernetes, networking, and storage services.
- Extensive experience with infrastructure-as-code tools such as Terraform or Pulumi.
- Hands-on experience with monitoring, logging, and tracing stacks such as Prometheus, Grafana, ELK, or Datadog.
- Solid understanding of distributed databases and event-driven systems.
- Proven ability to guide multi-stakeholder initiatives and influence engineering practices across teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Relevant certifications such as CKA, CKAD, or AWS/GCP Professional Cloud Architect are preferred.
- Prior cybersecurity infrastructure experience with SIEM, EDR, or SOAR is preferred.
- Experience supporting large-scale AI/ML workloads, including GPU scheduling or LLM serving optimization, is preferred.
- Familiarity with agentic workflows such as Agno and Temporal is preferred.
Benefits
- Monday through Thursday onsite with work from home on Friday at any company location.
- Competitive salary and benefits package.
- Opportunities for growth and development in AI, cybersecurity, and emerging technologies.
- Opportunity to work with AI-driven cybersecurity technologies and Google SecOps solutions.
Tech Stack
Categories
DevOpsSite Reliability
About TENEX.AI
TENEX.AI provides an AI-driven Managed Detection and Response (MDR) service that combines automated threat detection with 24/7 U.S.-based analysts for enterprises. It sells MDR subscriptions and related cybersecurity services delivered through its AI SOC platform. Founded in 2024 and headquartered in Sarasota, Florida, the privately held company reached Series B financing by 2026.