TENEX. AI is a cybersecurity company that specializes in offering AI-driven Managed Detection and Response (MDR) services. They provide comprehensive solutions for threat management, security automation, and rapid incident response, ensuring organizations can detect and neutralize cybersecurity threats in real-time. TENEX leverages advanced AI technology to automate routine security tasks and enhance operational efficiency, allowing enterprises of all sizes to scale their cybersecurity measures and maintain robust protection against emerging threats.
April 5
πΊπΈ United States β Remote
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
AWS
Cloud
Cyber Security
Docker
Google Cloud Platform
JavaScript
Kubernetes
MySQL
Next.js
Postgres
Python
React
TypeScript
Vue.js
Go
TENEX. AI is a cybersecurity company that specializes in offering AI-driven Managed Detection and Response (MDR) services. They provide comprehensive solutions for threat management, security automation, and rapid incident response, ensuring organizations can detect and neutralize cybersecurity threats in real-time. TENEX leverages advanced AI technology to automate routine security tasks and enhance operational efficiency, allowing enterprises of all sizes to scale their cybersecurity measures and maintain robust protection against emerging threats.
β’ TENEX is a cybersecurity company leveraging advanced AI. β’ Seeking a Full Stack Engineer to build and scale our platform. β’ Collaborate with product, design, and other engineers. β’ Write clean, well-documented, and testable code. β’ Contribute to the improvement of our development processes.
β’ Solid understanding of software engineering principles and best practices. β’ Experience with at least one backend programming language such as Go, Python, or an equivalent. β’ Experience with at least one modern frontend framework such as Next.js, TypeScript, React, Vue.js, or an equivalent. β’ Experience working with relational databases such as PostgreSQL or MySQL. β’ Familiarity with cloud platforms such as GCP or AWS. β’ Ability to learn new technologies quickly and independently. β’ Strong problem-solving and analytical skills. β’ Excellent communication and collaboration skills. β’ Experience with containerization technologies like Docker and orchestration tools like Kubernetes. β’ Experience with CI/CD pipelines. β’ Exposure to AI/ML concepts and technologies, such as: β’ Prompt Engineering β’ Retrieval-Augmented Generation (RAG) β’ Supervised Fine-Tuning (SFT) β’ Vector Databases β’ Experience working in an early-stage startup environment.
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πΊπΈ United States β Remote
π΅ $125k - $150k / year
π° Private Equity Round on 2023-05
β° Full Time
π‘ Mid-level
π Senior
π§βπ» Full-stack Engineer
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