DevSecOps Engineer – Cloud, AI & Real‑time Platforms

About the role

We are seeking a hands‑on DevSecOps Engineer to drive deployment, automation, security and reliability across Jodo World’s cloud, SaaS, AI and real‑time communication platforms. You will work with Linux‑based environments and modern container technologies to ensure smooth operation from development through production.

Key responsibilities

• Manage Linux development, testing, staging and production environments.
• Design, build and maintain CI/CD pipelines using tools such as Gitea Runner, Jenkins, GitHub Actions or GitLab CI.
• Deploy and orchestrate applications with Docker and Docker‑Compose.
• Automate build, test, deployment, rollback, backup, restore and environment validation processes.
• Configure web‑servers (Nginx or Traefik), DNS, SSL/TLS, routing, firewalls and secure service access.
• Set up monitoring, logging, dashboards and alerts with Prometheus, Grafana and Loki.
• Support platform services including databases, Redis, MinIO, Qdrant and message brokers.
• Handle patching, hardening, secrets management, vulnerability scanning and SBOM generation.
• Create runbooks, deployment guides, recovery procedures and infrastructure documentation.

Required profile

• Strong background in Linux system administration.
• Hands‑on experience with Docker and container orchestration.
• Proven ability to build and maintain CI/CD pipelines.
• Familiarity with web‑server configuration, networking and security best practices.
• Experience with monitoring and observability tools.
• Ability to write clear documentation and automation scripts.

Required skills

• Linux
• Docker & Docker‑Compose
• CI/CD tools (Gitea Runner, Jenkins, GitHub Actions, GitLab CI)
• Nginx or Traefik
• DNS, SSL/TLS, firewall configuration
• Prometheus, Grafana, Loki
• Redis, MinIO, Qdrant, message brokers
• Scripting (bash, Python) and AI‑assisted automation tools
• Secrets management, vulnerability scanning, SBOM creation

What we offer

• Opportunity to shape the DevSecOps and AI‑operations foundation of a communication‑native platform.
• Exposure to cloud, SaaS, AI infrastructure, observability and security technologies.
• Direct ownership of production‑focused engineering work in a fast‑growing product company.