Hewlett Packard Enterprise
Posted 66 days agoVerified live 1d ago
AI Software developer III
Brief overview
Remote
1,149 H-1B approvalsDept. of Labor
338 green cardsCertified filings
ReactAngularHTML5CSS3SassTailwindMaterial UIAccessibility (a11y)Responsive DesignPythonFastAPIFlaskNode.jsExpressNestJSREST APIsgRPC
About the company
Hewlett Packard Enterprisehp.com
Global technology company delivering edge-to-cloud solutions.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.1,149H-1B approved
99%approval rate
268new H-1B hires
338PERM certified
$157,856median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
2023390
2024402
2025290
202667
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202385
202482
202585
202624
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
2023112
202493
2025116
202617
Top sponsored roles
Senior Cloud DeveloperCloud Developer IIISenior Systems/Software EngineerPrincipal Cloud DeveloperSenior IT Developer/Engineer
Sponsored employees from
IndiaChinaMexicoCanadaPeru
Job description
Summary
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking an AI Software Developer III to design and implement user interfaces, backend services, and integrations, ensuring high code quality and effective collaboration with team members.
Responsibilities
- Build responsive, accessible front-end UI components and pages
- Develop backend REST/gRPC APIs, business logic, and data models
- Ensure clear contracts between front-end and backend
- Implement CRUD flows, pagination, and state management
- Integrate with authentication/authorization, telemetry/analytics, and storage systems
- Consume external services: LLM endpoints, agent orchestration APIs, or RAG services (where applicable)
- Write unit/integration/e2e tests for UI and backend
- Add input validation, error handling, and observability hooks (logs/metrics/traces)
- Maintain type safety, and documentation for features
- Optimize rendering, bundle size, and API latency; add caching and retries
- Address N+1 queries, DB indexes, and query efficiency
- Participate in on-call rotations or incident triage with guidance
- Contribute to build pipelines, environment configs, and deployment manifests
- Containerize services (Docker) and follow branching/versioning best practices
- Manage feature flags, configuration, and secrets safely
- Work with designers, product, QA/ and senior engineers
- Provide clear status updates, capture decisions in ADR/design notes
- Review peer PRs; accept feedback and iterate quickly
Skills
- Bachelor's degree in computer science, engineering, data science, or closely related quantitative discipline
- Typically, 4-7 years' experience
- Build responsive, accessible front-end UI components and pages
- Develop backend REST/gRPC APIs, business logic, and data models
- Ensure clear contracts between front-end and backend
- Implement CRUD flows, pagination, and state management
- Integrate with authentication/authorization, telemetry/analytics, and storage systems
- Consume external services: LLM endpoints, agent orchestration APIs, or RAG services (where applicable)
- Write unit/integration/e2e tests for UI and backend
- Add input validation, error handling, and observability hooks (logs/metrics/traces)
- Maintain type safety, and documentation for features
- Optimize rendering, bundle size, and API latency; add caching and retries
- Address N+1 queries, DB indexes, and query efficiency
- Participate in on-call rotations or incident triage with guidance
- Contribute to build pipelines, environment configs, and deployment manifests
- Containerize services (Docker) and follow branching/versioning best practices
- Manage feature flags, configuration, and secrets safely
- Work with designers, product, QA/ and senior engineers
- Provide clear status updates, capture decisions in ADR/design notes
- Review peer PRs; accept feedback and iterate quickly
- Frameworks: React (preferred) / Angular ; modern hooks/patterns
- UI/UX: HTML5, CSS3/Sass, Tailwind/Material; accessibility (a11y), responsive design
- Languages/Frameworks: Python (FastAPI/Flask) or Node.js (Express/NestJS)
- APIs: REST/gRPC; pagination, filtering, versioning, OpenAPI/Swagger
- Data: SQL (Postgres/MySQL) and NoSQL (Mongo/Redis); ORMs (SQLAlchemy/Prisma)
- Testing: pytest/Jest; integration and contract tests
- Containers: Docker basics; compose; image optimization
- CI/CD: GitHub Actions/Azure DevOps; pipelines, artifacts, environments
- Cloud: Familiarity with cloud services (AWS/Azure/GCP) and environments
- Observability: Logs/metrics/traces; dashboarding; alerting fundamentals
- Master's degree is desirable
- React (preferred) / Angular ; modern hooks/patterns
- AI‑Integration (Nice‑to‑Have for AI Apps)
- Consume LLM/agent APIs; handle token/latency/cost controls
- Work with RAG services (vector search endpoints); understand request/response patterns
- Implement prompt/response logging and guardrails integration (basic filters)
Qualifications
Must Haves
- Bachelor's degree in computer science, engineering, data science, or closely related quantitative discipline
- Typically, 4-7 years' experience
- Build responsive, accessible front-end UI components and pages
- Develop backend REST/gRPC APIs, business logic, and data models
- Ensure clear contracts between front-end and backend
- Implement CRUD flows, pagination, and state management
- Integrate with authentication/authorization, telemetry/analytics, and storage systems
- Consume external services: LLM endpoints, agent orchestration APIs, or RAG services (where applicable)
- Write unit/integration/e2e tests for UI and backend
- Add input validation, error handling, and observability hooks (logs/metrics/traces)
- Maintain type safety, and documentation for features
- Optimize rendering, bundle size, and API latency; add caching and retries
- Address N+1 queries, DB indexes, and query efficiency
- Participate in on-call rotations or incident triage with guidance
- Contribute to build pipelines, environment configs, and deployment manifests
- Containerize services (Docker) and follow branching/versioning best practices
- Manage feature flags, configuration, and secrets safely
- Work with designers, product, QA/ and senior engineers
- Provide clear status updates, capture decisions in ADR/design notes
- Review peer PRs; accept feedback and iterate quickly
- Frameworks: React (preferred) / Angular ; modern hooks/patterns
- UI/UX: HTML5, CSS3/Sass, Tailwind/Material; accessibility (a11y), responsive design
- Languages/Frameworks: Python (FastAPI/Flask) or Node.js (Express/NestJS)
- APIs: REST/gRPC; pagination, filtering, versioning, OpenAPI/Swagger
- Data: SQL (Postgres/MySQL) and NoSQL (Mongo/Redis); ORMs (SQLAlchemy/Prisma)
- Testing: pytest/Jest; integration and contract tests
- Containers: Docker basics; compose; image optimization
- CI/CD: GitHub Actions/Azure DevOps; pipelines, artifacts, environments
- Cloud: Familiarity with cloud services (AWS/Azure/GCP) and environments
- Observability: Logs/metrics/traces; dashboarding; alerting fundamentals
Nice to Haves
- Master's degree is desirable
- React (preferred) / Angular ; modern hooks/patterns
- AI‑Integration (Nice‑to‑Have for AI Apps)
- Consume LLM/agent APIs; handle token/latency/cost controls
- Work with RAG services (vector search endpoints); understand request/response patterns
- Implement prompt/response logging and guardrails integration (basic filters)
