Job Description

Job Summary (List Format): Mid-Level DevOps Engineer
- Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI, Azure DevOps, or Cloud Build.
- Manage and optimize Kubernetes clusters for deploying microservices.
- Develop and maintain Infrastructure as Code (IaC) using Terraform, Helm, or Ansible.
- Implement monitoring, logging, and alerting using Prometheus, Grafana, and ELK stack.
- Build and manage scalable, secure cloud infrastructure on GCP and Azure, including services like Cloud Run and Dataflow.
- Write and maintain automation scripts (Bash, Python) to increase operational efficiency.
- Troubleshoot and resolve production issues to improve system reliability, performance, and scalability.
- Enforce security best practices in CI/CD processes, cloud infrastructure, and automation.
- Collaborate with the Data Platform team to deploy and optimize AI/ML workloads.
- Support deployment and management of ML models using Kubernetes, Kubeflow, or MLflow.
- Work with AI/ML tools and frameworks (LLMs, RAG, LangChain, Hugging Face, Ollama, vLLM, etc.).
- Understand and support data pipelines and ETL workflows (Airflow, Dataflow, Databricks).
- Apply knowledge of Linux systems for infrastructure management and automation.
- Stay updated with MLOps and AI/ML infrastructure automation best practices.
- Communicate and collaborate effectively with cross-functional teams in a fast-paced environment.

Skills Required