The Role Design, develop, deploy, and maintain scalable backend services, APIs, and frontend applications. Own projects from architecture through monitoring, collaborate with product and design teams, participate in technical and code reviews, troubleshoot complex issues, and improve engineering practices. The role focuses on secure, reliable systems across cybersecurity, AI, and distributed systems while providing technical guidance to peers. Summary Generated by Built In 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

—explore our culture deck at culture.tenex.ai to witness how we embody it, prioritizing the irreplaceable collaboration and community of in-person work. We are seeking a Senior Software Engineer to join our core engineering team. You will take ownership of major product and infrastructure initiatives, working across the stack to build scalable, reliable, and secure systems. In this role, you'll balance being a strong individual contributor with providing technical guidance to peers, ensuring high standards in code quality, design, and execution. You'll collaborate closely with product and design teams, making key technical decisions and helping define how our platform evolves. This is an opportunity to work on challenging engineering problems in security, AI, and distributed systems, while growing into a leadership position as the company scales. For candidates who embody the rare "10x of 10x" talent, we offer the flexibility of fully remote work. If you are an exceptional, unrivaled force in this role and prefer not to relocate at this time, we encourage you to apply for this remote-first position. Please be aware that the competition for these remote roles is exceptionally fierce, and the standards for selection are significantly higher.

Job Responsibilities:

Design, develop, and deploy scalable backend services and APIs. Build and maintain intuitive and performant frontend applications. Take ownership of projects end-to-end, from architecture through deployment and monitoring. Collaborate with product, design, and other engineers to define and implement new features. Write clean, maintainable, and testable code. Participate in design reviews and code reviews, raising the bar for engineering quality. Troubleshoot complex issues across the stack and ensure system reliability. Contribute to improving engineering processes, tools, and team practices. Stay current with emerging technologies and bring new ideas to the team.

Qualifications Required:

5+ years of professional software engineering experience. Strong understanding of software engineering principles and best practices. Proficiency in at least one backend language such as Go, Python, or equivalent. Experience with at least one modern frontend framework (React, Next.js, TypeScript, or similar). Strong experience with relational databases (PostgreSQL, MySQL, or equivalent). Familiarity with cloud platforms such as GCP or AWS. Proven ability to take ownership of complex projects and deliver them end-to-end. Excellent problem-solving, communication, and collaboration skills. Desired (While experience in all is not required, any of the following would be a plus): Experience with containerization technologies like Docker and orchestration tools like Kubernetes. Experience with CI/CD pipelines. Exposure to AI/ML concepts and technologies, such as: Prompt Engineering Retrieval-Augmented Generation (RAG) Supervised Fine-Tuning (SFT) Vector Databases Experience working in an early-stage startup environment. Education & Certifications Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). GCP certifications such as Professional Cloud Developer or Professional Data Engineer 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. Competitive salary and benefits package. A culture of growth and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies. If you're passionate about combining cybersecurity expertise with artificial intelligence and have experience with Google SecOps and Chronicle, we encourage you to apply! We practice pay transparency and reward performance. Offers reflect equity, experience, skills, education, and certifications. Base salary for this position in

San Jose:

$120,000 - $170,000 Read Full Description Skills Required 5+ years of professional software engineering experience Strong understanding of software engineering principles and best practices Proficiency in at least one backend language such as Go or Python, or equivalent Experience with at least one modern frontend framework such as React, Next.js, or TypeScript Strong experience with relational databases such as PostgreSQL or MySQL Familiarity with cloud platforms such as GCP or AWS Ability to own complex projects and deliver them end-to-end Excellent problem-solving, communication, and collaboration skills Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience Experience with Docker and Kubernetes Experience with CI/CD pipelines Exposure to AI/ML concepts and technologies, including prompt engineering, RAG, SFT, or vector databases Experience in an early-stage startup environment GCP certification such as Professional Cloud Developer or Professional Data Engineer Experience with Google SecOps and Chronicle View all jobs at

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