DevOps & MLOps Engineer – Automation, Analytics & GenAI

DevOps & MLOps Engineer – Automation, Analytics & GenAI This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

HPE Operations is our innovative IT services organization. It provides the expertise to advise, integrate, and accelerate our customers’ outcomes from their digital transformation. Our teams collaborate to transform insight into innovation. In today’s fast paced, hybrid IT world, being at business speed means overcoming IT complexity to match the speed of actions to the speed of opportunities. Deploy the right technology to respond quickly to market possibilities. Join us and redefine what’s next for you. What you’ll do:

Design, implement, and maintain CI/CD pipelines for DevOps, MLOps, and automation workflows. Deploy, monitor, and optimize ML and GenAI models in production environments for performance, scalability, and reliability. Develop and enhance live automation and analytics projects, ensuring minimal disruption to operations while improving efficiency. Optimize GenAI solutions and workflows for accuracy, performance, and cost efficiency. Collaborate with RPA teams (WorkFusion, Selenium, Java, Python) to integrate and enhance automation solutions with enterprise applications. Implement containerization and orchestration using Docker, Kubernetes, or equivalent technologies. Automate infrastructure provisioning and management using Terraform, Ansible, or CloudFormation. Troubleshoot production issues, perform root-cause analysis, and implement permanent fixes. Partner with analytics, data engineering, and business teams to enable data-driven decisions. Document processes, conduct knowledge-sharing sessions, and mentor junior team members. what you need to bring : 6–10 years of experience in DevOps, MLOps, or related roles in enterprise environments. Strong hands-on experience with RPA technologies such as WorkFusion, Automation Anywhere, or UiPath. Proficient in Selenium, Java, and Python for automation development and testing. Experience in CI/CD tools like Jenkins, GitLab CI, or Azure DevOps. Hands-on with containerization and orchestration: Docker, Kubernetes, Helm, etc. Experience in deploying, optimizing, and enhancing ML/GenAI solutions, including frameworks like TensorFlow, PyTorch, or Hugging Face. Working knowledge of cloud platforms (AWS, Azure, GCP) and cloud-native services for automation, analytics, and AI/ML workloads. Familiarity with enterprise applications (Salesforce, SAP, ServiceNow, etc.) and integrating automation solutions. Strong problem-solving, debugging, and troubleshooting skills for live systems. Excellent collaboration, communication, and mentoring skills. Exposure to MLOps pipelines: MLflow, Kubeflow, or TFX. Experience in monitoring and logging frameworks: Prometheus, Grafana, ELK stack, or equivalent. Hands-on experience with GenAI model fine-tuning, optimization, or prompt engineering. Familiarity with Agile/Scrum methodologies and collaborative DevOps practices. Additional Skills: Cross Domain Knowledge, Design Thinking, Development Fundamentals, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX) What We Can Offer You: