Jeen.AI empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights -- deployed across any cloud or on-premise environment. Trusted by government, defense, and enterprise organizations shaping tomorrow's technological landscape.

Why Join Us?

You won't be managing dashboards from a desk. As a DevOps Engineer at Jeen.AI, you'll deploy a production AI platform directly into customer environments -- from Azure AKS clusters to air-gapped OpenShift installations in high-security settings. You'll own the full deployment lifecycle across government, defense, and enterprise organizations in Israel and global markets.

This is a rare opportunity to build and scale real AI infrastructure from the ground up: architecting GitOps pipelines, automating multi-cloud provisioning, and solving the hard problems that come with deploying complex microservices platforms into diverse, constrained environments.

Responsibilities

• Deploy and operate our AI platform across customer environments, including cloud (Azure, AWS, GCP) and on-premise/air-gapped Kubernetes and OpenShift clusters
• Design and maintain Helm charts, ArgoCD ApplicationSets, and GitOps workflows for multi-environment delivery (dev, staging, production)
• Build and improve CI/CD pipelines using GitHub Actions -- including multi-platform Docker image builds, automated security scanning (Trivy), and ArgoCD sync triggers
• Manage secrets lifecycle using External Secrets Operator and Azure Key Vault across cloud and on-premise deployments
• Own infrastructure-as-code with Terraform for Azure, AWS, and GCP resource provisioning
• Operate and tune stateful workloads: PostgreSQL, RabbitMQ, Redis, and MinIO across environments with varying storage capabilities (NFS, local, managed)
• Maintain and extend the observability stack -- Prometheus, Grafana, Loki, Tempo, and OpenTelemetry -- to ensure platform reliability and performance
• Drive automation for air-gapped deployment workflows, including offline archive creation and local registry management
• Identify and resolve performance bottlenecks, harden security posture, and improve platform resilience

Requirements

• 3+ years of experience as a DevOps Engineer in a production environment
• Strong hands-on experience with Kubernetes and Docker, including Helm chart development and management
• Experience deploying and operating workloads on at least one major cloud provider (Azure preferred; AWS or GCP also valued)
• Proficiency with CI/CD pipelines -- GitHub Actions preferred, Jenkins also relevant
• Solid scripting skills in Python and/or Bash
• Experience operating PostgreSQL, including backup, scaling, and troubleshooting in Kubernetes
• Understanding of GitOps principles and tools such as ArgoCD
• Familiarity with monitoring and observability tooling (Prometheus, Grafana, Loki, or equivalent)

Preferred Qualifications

• Security clearance (or eligibility to obtain one)
• Experience with OpenShift, including Security Context Constraints (SCCs) and enterprise deployment patterns
• Hands-on experience with air-gapped or disconnected environment deployments
• Familiarity with secrets management tools (External Secrets Operator, Azure Key Vault, HashiCorp Vault)
• Experience with Terraform for multi-cloud infrastructure provisioning
• Background in AI/ML infrastructure -- LLM serving, vector databases (pgvector), or embedding pipelines
• Experience with message brokers (RabbitMQ) and caching layers (Redis) in production