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Applications open Full-Time Job

IT Engineer,Software,Entry

Keysight Technologies

  • Gurugram, India
  • Competitive Package
  • 0-2 Years
  • Posted Yesterday
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About the role

Overview

Keysight is a mission-critical design enablement partner for organizations solving the world’s most complex engineering challenges. With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets. Learn more about what we do.

At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future. Here, you'll find opportunities to do your best work, take your career further, and thrive in an award-winning culture. Learn more about our benefits.

Responsibilities

We are seeking a motivated and curious Entry-Level Full Stack Developer to join our engineering team and help build next-generation web and AI-powered solutions. The ideal candidate will have foundational experience in React.js, Next.js, Python, and Django, along with an interest in Generative AI, and Large Language Models (LLMs). You will work with experienced engineers to develop web applications, AI assistants, and intelligent workflows that enhance business productivity and user experience.

Key Responsibilities

Full Stack Application Development

  • Design, develop, and maintain scalable web applications using React.js, Next.js, Redux, JavaScript/TypeScript, and Django/Python.
  • Build responsive, user-friendly interfaces and robust backend APIs.
  • Develop and enhance application features based on business requirements.

AI & Generative AI Development

  • Assist in developing AI-powered features such as chatbots, copilots, intelligent search, and workflow automation.
  • Integrate applications with Large Language Models (LLMs) and AI services such as Azure OpenAI, OpenAI, Anthropic, or similar platforms.
  • Support implementation of Retrieval-Augmented Generation (RAG) solutions using enterprise data sources.
  • Work with vector databases and embeddings for intelligent search and knowledge retrieval.
  • Participate in AI model evaluation, prompt engineering, and testing activities.

Collaboration & Agile Development

  • Collaborate with product managers, UX designers, data engineers, and senior developers to deliver solutions.
  • Participate in Agile ceremonies including sprint planning, stand-ups, and retrospectives.
  • Contribute ideas for improving application functionality and user experience.

Code Quality & Testing

  • Write clean, maintainable, and well-documented code following engineering best practices.
  • Perform unit, integration, and end-to-end testing.
  • Troubleshoot, debug, and resolve application issues.

Performance, Security & Reliability

  • Assist in optimizing application performance and scalability.
  • Follow secure coding practices and application security guidelines.
  • Support monitoring and observability initiatives for deployed applications.

Documentation

  • Maintain technical documentation for applications, APIs, AI integrations, and development processes.
  • Document architecture, troubleshooting procedures, and implementation details.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
  • 0-2 years of experience (including internships, academic projects, or personal projects).
  • Knowledge of:
  • React.js
  • Next.js
  • JavaScript/TypeScript
  • Python & Django
  • REST APIs
  • HTML5, CSS3
  • Git/GitHub
  • SQL databases

AI/ML Knowledge

  • Basic understanding of:
  • Generative AI concepts
  • Large Language Models (LLMs)
  • Prompt Engineering
  • AI Assistants and Chatbots
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases and Embeddings (preferred)

Preferred Qualifications

  • Experience delivering AI productivity transformations at enterprise scale
  • Familiarity with agent frameworks (MCP, LangGraph, AutoGen, CrewAI, Semantic Kernel, etc.)
  • Experience with AI tools and observability
  • Background in enterprise transformation programs

Careers Privacy Statement*Keysight is an Equal Opportunity Employer.*

Eligibility & process

Who can apply

Employment type: Full-time

Skills & stack

Python JavaScript TypeScript SQL React Next.js Redux HTML5

Selection process

Details are shared by the recruiter after shortlisting.

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Python, JavaScript, TypeScript, SQL, React, Next.js, Redux, HTML5) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Keysight Technologies Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join Keysight Technologies as a IT Engineer,Software,Entry?
Highlight Keysight Technologies's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Keysight Technologies Competitive Package
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