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Head of Platform Engineering

Job in Overland Park, Johnson County, Kansas, 66213, USA
Listing for: TENEX.AI
Full Time position
Listed on 2026-02-07
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing
Job Description & How to Apply Below

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 MDR landscape.

Role

As a Head of Platform Engineering at TENEX, you will be a strategic leader responsible for defining the technical vision, architecture, and execution strategy for our core, high-performance cybersecurity platform. You will be accountable for the scalability, reliability, security, and operational excellence of the platform that powers our AI-driven MDR services, leading the teams that build and maintain our foundational infrastructure, data pipelines, and engineering standards.

CULTURE is a key value —explore our culture deck ex.ai to see how we live it every day, with a deep emphasis on collaboration and community that in-person work delivers.

Job Responsibilities
  • Define Platform Strategy & Architecture:
    Oversee the entire service platform, architecture, technology selection, and strategic planning to 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 core systems.
  • Lead Site Reliability Engineering (SRE):
    Define and drive adherence to critical Service Level Objectives (SLOs) and Service Level Indicators (SLIs), manage on-call rotations, and minimize toil through automation.
  • Drive Operational Excellence:
    Implement advanced monitoring, observability (logs, metrics, tracing), automated provisioning, and disaster recovery strategies.
  • Lead & Mentor Platform Engineering Team:
    Manage engineering managers and a diverse team of platform, data, and infrastructure engineers. Foster engineering rigor, operational ownership, and continuous improvement.
  • Collaborate with Product Management & Security Operations:
    Translate product requirements and operational needs into robust, scalable, and cost-effective platform solutions.
  • Establish and Enforce Dev Sec Ops  Practices:
    Standardize CI/CD pipelines, infrastructure-as-code (IaC), security testing, and deployment mechanisms for rapid, secure, and reliable software delivery.
  • Foster Innovation:
    Identify and drive adoption of new engineering methodologies and infrastructure technologies. Leverage cloud-native patterns, advanced data stores, and distributed computing frameworks to maintain a competitive edge.
Required

Skills & Qualifications Platform & Engineering Leadership Expertise
  • 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.
Security & Technical Acumen
  • 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 production.
  • 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 environments (SOC 2, ISO 27001).
Data & AI/ML Platform Expertise
  • 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…
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