AI Software Developer
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.
Job Description:
We are seeking for a Full‑Stack Engineer as an individual contributor who delivers well-scoped tasks across the Application, follows established patterns, and steadily builds proficiency in testing, performance, and security. They work closely with more senior engineers, demonstrating reliability, learning agility, and ownership of modules assigned within a sprint.
Contributes to the success of HPE by translating customer requirements and industry trends into AI/ML products, solutions, and systems improvement projects.
Responsibilities:
Feature Implementation (UI + API)
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Builds UI components and pages using established design systems and patterns.
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Implements backend endpoints (CRUD, pagination, filters) and basic business logic.
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Maintains clean API contracts: request/response types, error structures, and HTTP status codes.
Data & Integration
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Wire up state management and data fetching; handle retries and error states.
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Integrate authentication/authorization flows and basic role checks.
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Consume internal/external services (e.g., LLM endpoints, orchestration APIs) under guidance.
Quality & Testing Hygiene
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Write unit and integration tests for UI and backend modules.
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Add validation, error handling, and logging hooks for observability.
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Follow linting, type safety, and code style guidelines; keep docs up to date.
Performance & Reliability Basics
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Optimize UI rendering (memoization, keying), reduce bundle bloat (tree-shaking).
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Avoid N+1 queries, use indexes where applicable, and apply simple caching patterns.
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Participate in bug triage; provide clear repro steps and fix prioritization with guidance.
DevOps & CI/CD Fundamentals
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Contribute to build pipelines (tests, static checks), environment variables, and configs.
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Containerize services using Docker; understand image layering and .dockerignore basics.
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Use feature flags safely; handle secrets via managed mechanisms (never hard-code).
Collaboration & Communication
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Work with designers, product, QA/SRE, and senior engineers; seek clarifications early.
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Share status succinctly; document decisions and assumptions in ADRs/design notes.
Education and Experience Required:
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Bachelor's degree in computer science, engineering, data science or closely related quantitative discipline.
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Typically, 2-4 years’ experience.
Knowledge and Skills:
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Frameworks: React (preferred) / Angular ; modern hooks/patterns.
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UI/UX: HTML5, CSS3/Sass, Tailwind/Material; accessibility (a11y), responsive design.
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Languages/Frameworks: Python (FastAPI/Flask) or Node.js (Express/NestJS);
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APIs: REST/gRPC; pagination, filtering, versioning, OpenAPI/Swagger.
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Data: SQL (Postgres/MySQL) and NoSQL (Mongo/Redis); ORMs (SQLAlchemy/Prisma).
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Testing: pytest/Jest; integration and contract tests.
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Containers: Docker basics; compose; image optimization.
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CI/CD: GitHub Actions/Azure DevOps; pipelines, artifacts, environments.
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Cloud: Familiarity with cloud services (AWS/Azure/GCP) and environments.
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Observability: Logs/metrics/traces; dashboarding; alerting fundamentals.
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AI‑Integration (Nice‑to‑Have for AI Apps)
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Consume LLM/agent APIs; handle token/latency/cost controls.
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Work with RAG services (vector search endpoints); understand request/response patterns.
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Implement prompt/response logging and guardrails integration (basic filters).
#LI-Hybrid
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
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.
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Job:
Engineering
Job Level:
TCP_02
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.
