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TENEX.AI is an AI-native, automation-first Managed Detection and Response (MDR) provider backed by leading investors including Andreessen Horowitz, Crosspoint Capital Partners, Shield Capital, and others. The company is rapidly growing and seeking a Software Engineer II to join the core engineering team as an early employee.
In this role, you will design, develop, and deploy scalable backend services and APIs while building responsive frontend applications. You'll work across the full technology stack, collaborating closely with product, design, and other engineers to define and implement new features. Responsibilities include writing clean, well-documented, testable code; participating in code reviews; troubleshooting full-stack issues; and contributing to improvements in development processes and tools. You'll stay current with emerging technologies and proactively identify and solve technical challenges.
As an early team member, you'll have meaningful input into key technical decisions and help define engineering culture. The company emphasizes collaboration and values individuals who are proactive problem-solvers eager to learn and adapt in a fast-paced environment. For exceptional candidates, fully remote work is available; however, the company notes that competition for remote roles is fierce and selection standards are significantly higher.
REQUIREMENTS:
- 3–5 years of professional software engineering experience
- Experience with at least one backend programming language (Go, Python, or equivalent)
- Experience with at least one modern frontend framework (Next.js, TypeScript, React, Vue.js, or equivalent)
- Experience with relational databases (PostgreSQL or MySQL)
- Familiarity with cloud platforms (GCP or AWS)
- Ability to learn new technologies quickly and independently
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
DESIRED QUALIFICATIONS:
- Experience with containerization (Docker) and orchestration (Kubernetes)
- CI/CD pipeline experience
- Exposure to AI/ML concepts: prompt engineering, RAG, supervised fine-tuning, vector databases
- Early-stage startup experience
- GCP certifications (Professional Cloud Developer or Professional Data Engineer)
