DevOps Engineer

Responsibilities Design, maintain, and scale Azure-based infrastructure supporting production machine translation portals, LLM APIs, and backend services Build and operate containerized services with Docker, ensuring consistent environments across development, staging, and production Own GitLab CI/CD pipelines end-to-end: merge, build, test, deployment, rollback, and release coordination Deploy and operate FastAPI backend services and Vue.js frontends, including configuration, scaling, and runtime monitoring Configure and maintain Traefik as the reverse proxy layer: routing rules, SSL/TLS certificates, service discovery, and traffic policies Administer Keycloak for authentication, authorization, identity federation, and SSO across internal and customer-facing services Operate MySQL in production: schema management, backups, replication, performance tuning, and recovery procedures Implement infrastructure-as-code and environment standardization to make deployments reproducible and auditable Build observability into the platform using Grafana, centralized logging, and metrics pipelines Strengthen platform reliability, security posture, and disaster recovery procedures Manage secrets, API credentials, and secure inter-service communication Partner with ML/NLP engineers to deploy inference services, model APIs, and GPU-backed workloads Optimize cloud resource utilization and operational costs across environments Troubleshoot production incidents spanning deployment, networking, performance, and infrastructure layers Required Skill Strong production experience with Docker, GitLab CI/CD, Linux system administration, and Azure Hands-on experience deploying and operating FastAPI services and Vue.js application Solid working knowledge of Traefik, Keycloak, and MySQL in production environment Experience with Grafana, observability stacks, and centralized logging system Experience with container orchestration and service scaling pattern Solid grounding in networking, reverse proxies, SSL/TLS, and API gateway Familiarity with infrastructure-as-code tooling Track record managing production environments and release pipelines for live service Strong understanding of security best practices for APIs and cloud infrastructure Familiarity with AI/ML infrastructure, inference services, or GPU workloads is a plus Experience in localization, translation technologies, or language services is a plus Familiarity with data lakes