• Own the end‑to‑end lifecycle (design, provisioning, upgrades, maintenance, and decommissioning) of core platform components, including: Cloud infrastructure primitives Kubernetes clusters and cluster services Networking, ingress, and service discovery Service Mesh and supporting data‑plane components • Design platform components to be resilient by default, applying SRE principles such as: Fault isolation and graceful degradation Capacity planning and saturation control Reduced operational toil and clear failure modes • Lead the design and implementation of infrastructure bootstrap orchestration, including: Automated cluster and environment provisioning Deterministic, repeatable platform bring‑up and teardown Dependency‑aware orchestration across cloud, network, and Kubernetes layers • Drive Infrastructure‑as‑Code and GitOps‑first practices to ensure: Platform components are reproducible and auditable Changes are automated, testable, and reversible Manual intervention is minimized or eliminated • Identify automation gaps and lead initiatives that reduce human effort, onboarding time, and operational risk. Apply and promote SRE operational excellence practices, including: Clear ownership and runbooks for platform components Participation in on‑call rotation as a platform reliability escalation point Incident response, post‑incident reviews, and problem management • Improve day‑2 operations by standardizing upgrade/rollback strategies and reducing MTTD/MTTR. Ensure platform operations align with security, compliance, and internal control requirements. • Collaborate with engineering teams across the organization to influence platform adoption, reliability standards, and cloud‑native best practices.

• Participate in the implementation and management of cloud infrastructure, leveraging technologies such as GCP, Terraform, Ansible, Kubernetes, and Linux. • Contribute to the automation of deployments and operational processes, ensuring the security and performance of e-commerce applications.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a full-time, remote DevOps Engineer II. The DevOps Engineer II is responsible for designing, implementing, and supporting secure, scalable CI/CD pipelines across Azure and AWS environments. This role is hands on and execution focused, partnering closely with senior engineers, application development, and infrastructure teams to improve deployment reliability, security, and operational efficiency. - Design, implement, and maintain CI/CD pipelines using Azure DevOps and AWS - Build multi-stage pipelines supporting build, test, security scanning, and deployment - Implement DevSecOps practices, including secure access management and credential handling - Integrate logging, metrics, and alerting into delivery workflows - Troubleshoot CI/CD and cloud infrastructure issues in cross-functional teams - Identify and implement automation opportunities across DevOps and ITSM processes - Provide Tier 2 production support during business hours and limited off-hours releases Qualifications - Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. - 4+ years of experience supporting CI/CD pipelines and Git-based workflows, including multi-stage build and deployment pipelines, in Azure DevOps (primary) and AWS (secondary) - 2+ years working with Infrastructure as Code (Terraform preferred) - 2+ years of experience working with containerized workloads and Kubernetes - 2+ years of experience supporting or developing production applications in a mid-to large-scale environment - Experience supporting secure, repeatable SDLC processes, including release and deployment automation - Ability to troubleshoot delivery and infrastructure issues in a cross-functional team environment Requirements - Familiarity with some or all of the technologies and concepts used in our current environment, including but not limited to: - DevOps & CI/CD - Secrets management, IAM, and least-privilege access - Failure handling, rollback strategies, and pipeline notifications - Cloud Platforms & Infrastructure - Microsoft Azure and Amazon Web Services (AWS) - Cloud networking fundamentals (virtual networks, routing, load balancing, DNS, etc) - Scripting & Automations - Bash or PowerShell - Azure CLI - kubectl Benefits - Health and wellness – PPO, HDHP, and HMO health insurance options with Cigna and Kaiser (CA employees only). - Financial incentives – competitive salaries, 401(k) matching contributions, employer-paid life and disability insurance, flexible spending and commuter accounts, and employer-matched HSA contributions. - Vacation – paid time off and personal holiday programs for work-life balance. - Volunteer time – one paid day per calendar year for community engagement. - Learning and development – support for continual learning through the Learning Excellence at Paradigm (LEAP) program.

AI System Architect This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home. 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: HPC & AI Business Unit - AI System Architect Distinguished Technologist. - AI & Machine Learning Focusing on the AI system architecture needs for customers deploying high performance computing and AI systems, the work consists of architecting, designing, developing, analyzing, troubleshooting and debugging systems, software and solutions for research and/or research development of product, services, and solutions for HPE’s portfolio. Requires a broad knowledge and application of engineering disciplines, methodologies and tools Responsibilities: - Responsible for the overall AI system architecture of in the HPC & AI Infrastructure systems Solutions within HPE Business Unit. - Develops strategy and technology roadmaps for addressing AI system architecture across multiple platforms and products in the HPC and& AI Business unit. Ability to work collaboratively with AI and system experts across the company. - Communicates strategy and technology roadmaps to executive staff, industry partners, and customers; leverages recognized technical and business expertise to influence, guide, and shape business strategy and decision making at the highest organizational levels. - Provides consultation, design input, and feedback for development and design reviews across multiple organizations and architectures. - Guides and mentors less-experienced staff members to set an example of AI system design and development innovation and excellence. - Participates in and provides input on process for selection of future technical leaders Education and Experience Required: - Bachelor's, Master's or PHD degree in Computer Science, Information Systems, or equivalent - 10+ years experience in AI & HPC technologies - Typically 15+ years total experience - Industry standards body participation preferred Knowledge and Skills: - Proven track record of delivering AI systems/solutions to solve real-world problems - Specific knowledge in AI-for-science use cases would be beneficial - Deep understanding of AI system technologies - Ability to present internally and externally on AI system architecture - Ability to work across business unit teams to deliver complex solution requirements, and drive strategic engagements - Industry expert regarding development of AI systems/solutions - History of innovation and successful deployment of solutions in the field of advanced AI systems. - Outstanding analytical and problem solving skills. - Experience in overall architecture of HPC and& AI systems. - Excellent written and verbal communication skills; mastery in English and local language. - Ability to effectively communicate architectures, design proposals, and negotiate options at the most senior organizational levels. Additional Skills: Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset 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. #unitedstates #executive Job: EngineeringJob Level: TCP_07 "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 170,000 - 412,500 in Texas The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html 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.