DevOps & MLOps Engineer – Automation, Analytics & GenAI at Hewlett Packard Enterprise

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

DevOps, MLOps, GenAI, CI/CD, Docker, Kubernetes, Terraform, Ansible, Python, Java, Selenium, WorkFusion, AWS, Azure, GCP, MLflow

Industry

IT Services and IT Consulting

Description

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. Who We Are: 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. Job Description: 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: Key Responsibilities: 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: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #operations Job: Engineering Job Level: TCP_03 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Responsibilities

Design and maintain CI/CD pipelines for DevOps and MLOps while optimizing GenAI models for production performance and scalability. Collaborate with RPA teams to integrate automation solutions and manage infrastructure provisioning using containerization tools.