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. Culture is one of the most important things at TENEX.AI tenex.xn--aiexplore-189d our culture deck at culture.tenex.ai culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work. As a Platform Engineer, AI & Security at TENEX, you work alongside our engineering team to expand how our platform connects with and operates across the security ecosystem. You combine software development with hands-on experience deploying enterprise security products to give engineers reliable integrations, representative environments, and reusable tooling for developing and validating new capabilities. You will write software, deploy and configure security technologies, and understand how those products behave in practice from their APIs and authentication models to their configuration requirements and operational constraints. Your work will help engineering teams build and test capabilities across a broad range of security products and enterprise use cases. You will: - Deploy, configure, and maintain security products across cloud, AI security, network, endpoint, and identity domains to support engineering development and validation. - Write and maintain software that connects with security vendor APIs, automates product setup, and makes integrations repeatable. - Build reusable tooling for provisioning, configuration, testing, and troubleshooting across a diverse security technology ecosystem. - Develop representative configurations and workflows that reflect how security products are deployed and used in enterprise environments. - Partner with engineers building AI-driven capabilities to make security product functionality accessible, testable, and well understood. - Investigate vendor APIs, permissions, data models, and product behavior; document integration requirements, limitations, and edge cases. - Build automated checks that verify connectivity, configuration, and expected behavior as vendor products and TENEX capabilities evolve. - Diagnose integration failures and distinguish between issues in TENEX software, vendor products, and environment configuration. - Maintain technical documentation and implementation examples that help engineering teams build on your work. Must-Haves: - 3+ years of experience in software engineering, security engineering, or a related technical field, including substantial hands-on software development. - Demonstrated ability to write maintainable software in Python or another general-purpose language, using version control, automated testing, and code review. - Experience building API integrations and troubleshooting authentication, authorization, data exchange, and system behavior. - Hands-on experience deploying and configuring multiple security products within an enterprise or for enterprise customers. - Working knowledge of security technologies such as SIEM, EDR, SOAR, cloud security, network security, and identity platforms, with depth in one or more areas. - Experience automating infrastructure or application configuration and maintaining reliable technical environments. - Ability to learn unfamiliar products, work through incomplete documentation, and turn findings into reusable software and clear technical guidance. - Strong collaboration skills and the ability to translate practical security requirements into engineering work. Nice-to-Haves: - A software developer background, particularly building integrations, backend services, or developer tooling. - Experience in customer engineering, solutions engineering, or technical consulting spanning multiple enterprise security products. - Experience integrating AI applications or agents with external tools and APIs, including permissions and validation of tool actions. - Experience with infrastructure as code and configuration automation using tools such as Terraform or Ansible. - Experience with containers, cloud infrastructure, CI/CD, and automated integration testing. - Familiarity with enterprise security products such as CrowdStrike Falcon, Microsoft Defender for Endpoint, SentinelOne, and Palo Alto Networks Cortex XDR, as well as security data platforms and pipeline technologies such as Google SecOps, Logstash, OpenTelemetry, Bindplane, or Cribl. - Relevant cloud or security certifications. Required Skills & Qualifications: EDUCATION & CERTIFICATIONS: - Bachelor’s degree in Computer Science, or a related field (or equivalent experience). 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. - Competitive salary and benefits package. - A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.

Requirements

Must-haves

Deploy, configure, and maintain security products across cloud, AI security, network, endpoint, and identity domains to support engineering development and validation.
Write and maintain software that connects with security vendor APIs, automates product setup, and makes integrations repeatable.
Build reusable tooling for provisioning, configuration, testing, and troubleshooting across a diverse security technology ecosystem.
Develop representative configurations and workflows that reflect how security products are deployed and used in enterprise environments.
Partner with engineers building AI-driven capabilities to make security product functionality accessible, testable, and well understood.
Investigate vendor APIs, permissions, data models, and product behavior; document integration requirements, limitations, and edge cases.
Build automated checks that verify connectivity, configuration, and expected behavior as vendor products and TENEX capabilities evolve.
Diagnose integration failures and distinguish between issues in TENEX software, vendor products, and environment configuration.
Maintain technical documentation and implementation examples that help engineering teams build on your work.
3+ years of experience in software engineering, security engineering, or a related technical field, including substantial hands-on software development.
Demonstrated ability to write maintainable software in Python or another general-purpose language, using version control, automated testing, and code review.
Experience building API integrations and troubleshooting authentication, authorization, data exchange, and system behavior.
Hands-on experience deploying and configuring multiple security products within an enterprise or for enterprise customers.
Working knowledge of security technologies such as SIEM, EDR, SOAR, cloud security, network security, and identity platforms, with depth in one or more areas.
Experience automating infrastructure or application configuration and maintaining reliable technical environments.
Ability to learn unfamiliar products, work through incomplete documentation, and turn findings into reusable software and clear technical guidance.
Strong collaboration skills and the ability to translate practical security requirements into engineering work.
Bachelor’s degree in Computer Science, or a related field (or equivalent experience).

Nice-to-haves

A software developer background, particularly building integrations, backend services, or developer tooling.
Experience in customer engineering, solutions engineering, or technical consulting spanning multiple enterprise security products.
Experience integrating AI applications or agents with external tools and APIs, including permissions and validation of tool actions.
Experience with infrastructure as code and configuration automation using tools such as Terraform or Ansible.
Experience with containers, cloud infrastructure, CI/CD, and automated integration testing.
Relevant cloud or security certifications.

Application prep

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Keywords to mirror

aipythonapici/cd

Platform: ashby
Effort: quick

Benefits

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Vision