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JobsJuniper Networks

AI SW Developer

Juniper Networks

AI SW Developer

Juniper Networks

2 Locations

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Learning Budget

Flexible Hours

Healthcare

Learning

Flexible Hours

Required Skills

React

Python

Node.js

SQL

HTML5

CSS3

REST APIs

Docker

Git

AI SW 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.

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:

We are seeking for a Full‑Stack Engineer who can be solid individual contributor and can design and implement user interfaces, backend services, and integrations end-to-end. They deliver features with high code quality, collaborate closely with seniors/leads, and demonstrate ownership of modules and tasks within a sprint. Having a good Networking knowledge

Responsibilities:

Feature Delivery (UI + API)

  • 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.

Integration & Data Handling:

  • 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).

Quality & Testing:

  • 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.

Performance & Reliability:

  • 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.

DevOps & CI/CD Hygiene

  • 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.

Collaboration & Communication:

  • 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.

Education and Experience Required:

  • Bachelor's degree in computer science, engineering, data science, or closely related quantitative discipline. Master’s degree is desirable.
  • Typically, 4-7 years’ experience.

Knowledge and Skills:

  • 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
  • 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).

#LI_Hybrid

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.

#puertorico

#networking

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.

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About Juniper Networks

Juniper Networks

Juniper Networks is a multinational corporation that develops and markets networking products including routers, switches, network management software, and network security products. The company serves service providers, enterprises, and government organizations globally.

10,001+

Employees

Sunnyvale

Headquarters

Reviews

4.0

1 reviews

Work Life Balance

4.0

Compensation

3.0

Culture

3.5

Career

4.0

Management

3.5

65%

Recommend to a Friend

Pros

Flexible internship extension opportunities

Part-time work options during school

Accommodating to student schedules

Cons

Lower compensation compared to competitors

Pay below market rate

Compensation not competitive with other tech companies

Salary Ranges

33 data points

Junior/L3

Junior/L3 · Product Consultant

3 reports

$135,053

total / year

Base

$117,437

Stock

-

Bonus

-

$118,692

$135,053

Interview Experience

8 interviews

Difficulty

3.1

/ 5

Duration

14-28 weeks

Offer Rate

38%

Experience

Positive 25%

Neutral 50%

Negative 25%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Behavioral Interview

6

Offer

Common Questions

Coding/Algorithm

Data Structures & Algorithms

Network Security

Behavioral/STAR

Technical Knowledge