Responsibilities
- Take full ownership of DevOps initiatives, driving them from concept to execution across teams.
- Hands-on engineering and testing of the product in various capacities, focusing on AI Agent features.
- Hands-on engineering and testing of the internal agent’s framework (similar to LangChain / Haystack and others).
- Develop and maintain CI/CD pipelines to ensure efficient and reliable software delivery.
- Collaborate with developers to optimize build and deployment processes.
- Stay up-to-date with emerging DevOps technologies and best practices to continuously improve our systems.
Requirements
- 5+ years of hands-on experience as a DevOps engineer in cloud-native environments.
- 5+ years of experience in Python (we can consider less experienced engineers, who learn very quickly and are ready to work in the startup environment)
- Experience with CI/CD tools.
- Familiarity with containerization and orchestration tools.
- Experience with Generative AI
- Cybersecurity product background: worked on security-focused software or platforms.
Nice to Have
- Experience with Generative AI Agents will be a huge plus, specifically: — implementation of Generative AI Agents using Langchain / Haystack and others — implementation of RAG using LlamaIndex and other Advanced RAG frameworks — evaluation of AI Agent Performance — integration of AI Agents into Existing Systems
- Master’s or Ph.D. in Computer Science, Cybersecurity, or related fields.
- Interest or active participation in cybersecurity-related activities.
- Contributions to AI / CS/ Cybersecurity research, blogs, or whitepapers showcasing expertise.
- Experience in developing or contributing to open-source developer tools or frameworks.
