TENEX.AI · 1 day ago
Head of Platform Engineering
San Jose, CA
Full-time
Onsite
Director/Executive
8+ years expTENEX is an AI-native, automation-first Managed Detection and Response provider, seeking a Head of Platform Engineering to lead the technical vision and execution strategy for their cybersecurity platform. The role involves overseeing platform architecture, leading engineering teams, and ensuring operational excellence in delivering AI-driven services.
Artificial Intelligence (AI)Cyber SecurityNetwork SecuritySaaS
Responsibilities
Define Platform Strategy & Architecture: Overview the entire service platform, overseeing architectural design, technology selection, and strategic planning to ensure the platform can scale to petabytes of security data and billions of daily events
Own the Platform Engineering Roadmap: Prioritize initiatives that maximize reliability, performance, security, and developer efficiency across our core systems
Lead Site Reliability Engineering (SRE): Define and driving adherence to critical Service Level Objectives (SLOs) and Service Level Indicators (SLIs), managing on-call rotations, and minimizing toil through automation
Drive Operational Excellence: Drive the platform, implementing advanced monitoring, observability (logs, metrics, tracing), automated provisioning, and disaster recovery strategies
Lead & Mentor Platform Engineering Team: Engineering managers and a diverse team of platform, data, and infrastructure engineers. Drive a culture of engineering rigor, operational ownership, and continuous improvement
Collaborate with Product Management & Security Operations: Translate new product requirements and operational needs into robust, scalable, and cost-effective platform solutions
Establish and Enforce DevSecOps Practices: Standarize CI/CD pipelines, infrastructure-as-code (IaC), security testing, and deployment mechanisms to ensure rapid, secure, and reliable software delivery
Foster Innovation: Identify and driving the adoption of new engineering methodologies and infrastructure technologies. Push the frontier—leverage cloud-native patterns, advanced data stores, and distributed computing frameworks to maintain a competitive advantage
Qualification
Required
8+ years of progressive experience in Software or Platform Engineering, including 3+ years managing multiple engineering teams or a significant platform portfolio
Proven track record of architecting, building, and operating highly scalable, distributed, and secure enterprise-grade SaaS platforms
Expertise in Site Reliability Engineering (SRE) principles, cloud-native architecture, and driving organizational process improvements in large-scale engineering environments
10+ years of experience in the cybersecurity, enterprise SaaS, or B2B technology industry
Deep expertise in scalable, distributed system architecture, microservices, and containerization (Docker, Kubernetes) in a production environment
Strong understanding of modern security technologies such as SIEM, EDR, Threat Intelligence, and the challenges of processing high-volume, real-time security event data at scale
Strong fundamentals in cloud infrastructure (AWS, GCP, or Azure), networking, and building secure and compliant (e.g., SOC 2, ISO 27001) environments
Deep understanding of modern data architecture, including real-time data pipelines, stream processing, and large-scale data warehousing/lakehouse technologies (e.g., Kafka, Spark, Flink)
Experience in defining and building the underlying infrastructure to support AI/ML model training, deployment, and monitoring (MLOps), including vector databases and feature stores
Exceptional communication, presentation, and negotiation skills, with the ability to articulate technical strategy to executive leadership, product teams, and external partners
Strong strategic thinking and analytical skills to solve complex engineering and operational problems
Proven ability to mentor, inspire, and grow senior technical talent and leadership within the organization
A strong passion for cybersecurity and a commitment to building security-first platforms and automation
Clear, concise communication skills and a bias for collaborative problem-solving
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Preferred
Prior experience in a Managed Security Service Provider (MSSP) or Managed Detection and Response (MDR) setting
Experience with graph databases or security-focused knowledge graphs
Background leading teams in high-growth startups or enterprise SaaS
Relevant certifications (e.g., cloud architecture, SRE, or security-related credentials) are a plus
Company
TENEX.AI
TENEX.AI is a cybersecurity company that utilizes AI and human expertise to help enterprises protect their digital assets.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$27MKey Investors
Crosspoint Capital PartnersAndreessen Horowitz
2025-09-11Series A· $27M
2025-01-20Seed
Leadership Team
Eric Foster
CEO
Edwin Solis
Co-Founder & Chief Revenue Officer (CRO)
Recent News
Business Observer
2026-01-06
Business Journal
2025-12-09
2025-12-02
Company data provided by crunchbase