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.