Staff Software Engineer

TENEX is an AI-native, automation-first Managed Detection and Response provider focused on advanced threat detection, rapid response, and continuous cybersecurity protection. The Staff Software Engineer will drive the technical vision and execution of a reliable, scalable, and secure platform by leading architecture, developing distributed systems, guiding technical decisions, mentoring engineers, and contributing directly to the codebase.

Responsibilities:

• Own and drive architectural decisions for core systems and services, balancing speed, scalability, and security
• Lead design and development of distributed backend systems, APIs, and integrations
• Provide technical leadership across the stack, from backend services to frontend applications
• Mentor, coach, and up-level engineers through code reviews, design discussions, and pairing
• Collaborate with product, design, and leadership to shape technical roadmaps
• Identify and address cross-cutting concerns such as observability, reliability, and performance
• Champion engineering best practices, ensuring code quality, testing, and maintainability
• Stay ahead of industry trends in AI, automation, and security, bringing innovative approaches into our platform

Requirements:

• 7+ years of professional software engineering experience, including leadership in designing and scaling complex systems
• Strong foundation in software engineering principles and distributed systems
• Expertise in at least one backend language such as Go, Python, or equivalent
• Experience with modern frontend frameworks (React, Next.js, TypeScript, or similar)
• Proficiency with relational databases such as PostgreSQL or MySQL
• Experience with cloud platforms (GCP, AWS, or equivalent)
• Demonstrated ability to lead technical direction and mentor other engineers
• Excellent communication, collaboration, and problem-solving skills
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• This role will require Monday - Thursday onsite in any of our locations. WFH Friday
• 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
• GCP certifications such as Professional Cloud Developer or Professional Data Engineer are a plus