MLOps Engineer

Role: MLOps Engineer
• Strong hands-on Python experience building reliable, maintainable production applications, REST APIs, automation scripts, and data-processing workflows, with proficiency in object-oriented programming, exception handling, unit testing, and performance optimization.
• Hands-on experience with at least one major cloud platform—AWS, Azure, or Google Cloud—and with Docker and Kubernetes, including deploying, troubleshooting, and securing applications and AI/ML workloads.
• Experience designing and operating containerized platform services on Linux, including Kubernetes deployments, configuration management, and troubleshooting across environments, with strong skills in Bash scripting, command-line tools, process and service management, networking, and log analysis.
• Experience building and maintaining secure APIs and identity-related services, including authentication, authorization, secrets management, and service-to-service integrations.
• Strong experience with Git, CI/CD tools such as GitHub Actions, and infrastructure automation using Terraform or Ansible, including automated builds, testing, security scanning, controlled deployments, and rollback procedures.
• Hands-on experience with monitoring, logging, and observability tools such as Splunk, Elasticsearch, Kibana, Prometheus, and Grafana to query logs, collect metrics, build dashboards, configure alerts, and monitor application and platform health.

Work arrangement
No