Staff Software Engineer

TENEX.AI is an AI-native, automation-first Managed Detection and Response provider, focused on enhancing cybersecurity through advanced threat detection and rapid response. They are seeking an experienced Staff Software Engineer to drive the technical vision and execution of their platform, ensuring reliability, scalability, and security while mentoring engineers and leading architectural decisions.

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)
• 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