Jeen.AI empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.
Why Join us?:
This role includes hands-on work with government, defense, and security organizations in Israel and across global markets.
Take part in building cutting-edge AI infrastructure from the ground up.
As a DevOps Engineer, you'll play a key role in deploying our platform directly at customer sites, influencing implementation across diverse environments.
This is a unique opportunity to take ownership of complex, hands-on deployments, work across multiple cloud providers, and lead system automation in real-world production scenarios.
Join us to tackle real technical challenges and grow in a fast-moving, high-impact environment.
Responsibilities:
- Installing and deploying our platform in customer environments
- Independently determine and develop architectural approaches and solutions
- Build automated deployment and testing environments
- Manage performance bottlenecks and continuously improve the security and resilience of our platform
- Act as a knowledge source for other team members
- Management horizon for team leadership
- Work with cloud platforms such as GCP, Azure, or AWS
- Use scripting and automation tools to streamline infrastructure processes
Requirements:
- At least 3 years of experience as a DevOps Engineer
- Proven hands-on experience with microservices. Docker, Kubernetes, and OpenShift
- Experience working in a multi-cloud environment (AWS / GCP / Azure)
- Knowledge of build/release systems, CI/CD pipelines (GitHub Actions/Jenkins)
- Scripting/programming skills with Python/Bash
- Experience with PostgresDB
- Understanding of monitoring tools such as Grafana, Prometheus, and other monitoring technologies
- High problem-solving skills, along with the ability to work independently
Preferred Qualifications
- Security Clearance
- Experience with PostgresDB
- Familiarity with monitoring technologies
- Background in AI/ML infrastructure