JLL Off Campus Drive 2026 :-
JLL is hiring a Software Engineer at Benguluru. The complete details about JLL Off Campus Drive 2026 as follows.
| Job Role | Software Engineer |
| Qualification | BE, B.Tech, BS, MCA, MS, MTech or any related |
| Batch | 2026/2025/2024 or Any |
| Experience | Freshers/0-2 Years |
| Job Location | Benguluru |
Required Qualification :-You have a Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent bootcamp/self-taught experience with a portfolio demonstrating competency
Who You Are
- We’re optimizing for learning potential, solid fundamentals, and genuine engagement with engineering. You don’t need years of experience — you need to be curious, humble about what you don’t know, and eager to grow.
- You have a Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent bootcamp/self-taught experience with a portfolio demonstrating competency
- You are proficient in English, both written and verbal, sufficient for success in a remote and largely asynchronous work environment
- You have 0-2 years of professional software engineering experience, or are a recent graduate with solid foundational knowledge
- You have hands-on experience writing code in C# or Java (through academic projects, bootcamp, or personal projects) and understand the basics of how programs work
- You have some experience with React and TypeScript or are eager to learn them quickly — through academic projects, bootcamp, tutorials, or personal projects; you understand the basics of components and JSX
- You know the basics of HTML, CSS, and JavaScript — you understand how the browser works and can build simple web pages and interactive elements
- You understand the fundamentals of object-oriented programming: classes, objects, inheritance, and interfaces
- You can debug code in multiple environments: backend (logs, IDE debugger) and frontend (browser developer tools, console logs)
- You’ve written code that other people have read and reviewed — you’re comfortable receiving feedback and iterating
- You know the basics of relational databases and can write simple SQL queries (SELECT, INSERT, UPDATE); you’re learning to think about data
- You’ve worked with Git and understand the basics of version control, branching, and merging
- You can debug code systematically: read error messages, add logging, trace through code, form hypotheses about what’s wrong
- You’re genuinely curious about how things work and you ask good questions when you don’t understand something
- You’re interested in and curious about AI tools (LLMs, generative AI, agents) — you’ve probably experimented with ChatGPT, Claude, or similar tools and think about how they could be useful
- You’re open to exploring AI-centric solutions to problems and willing to experiment with new approaches that leverage AI capabilities
- You can explain what you’ve learned in writing: you’re comfortable documenting decisions, asking for help in PRs, and sharing what you discovered
- You’re reliable and follow through: you finish what you start, communicate when you’re blocked, and ask for help before getting stuck for too long
- You’re humble about what you don’t know and genuinely want to learn from more experienced engineers
- You make an effort to include others and appreciate feedback as a gift, not a criticism
What You’ll Do
Learning & Foundational Work:
- Work on small, well-scoped tasks with clear acceptance criteria: bug fixes, simple feature additions, documentation improvements (both frontend and backend)
- Get hands-on with the tools and technologies we use: C#/Java backend, React/TypeScript frontend, SQL, Git, our test frameworks, our deployment processes
- Learn how our customer-facing applications work: what AEM is, how WordPress sites are structured, how they serve customers, how frontend and backend work together
- Understand the full development lifecycle: from understanding a requirement, to writing code (frontend components and backend services), to testing, to deploying to production with safety
Frontend Development:
- Fix simple bugs in our React/TypeScript applications: layout issues, component state problems, missing features
- Implement small features: simple forms, content displays, UI improvements requested by stakeholders
- Learn React fundamentals: components, hooks, props, state management
- Debug frontend issues using browser developer tools: understand CSS problems, trace JavaScript execution
- Help improve frontend test coverage: write simple unit tests for components
- Learn how to consume backend APIs from the frontend: understand requests, responses, error handling
Backend Development:
- Help fix bugs in our C# or Java backend services: simple issues with clear reproduction steps
- Implement small backend features: API endpoints, database queries, business logic
- Learn backend fundamentals: how services are structured, how databases work, how to handle errors
- Debug backend issues: read logs, understand stack traces, trace through code
- Help improve test coverage: write simple unit and integration tests
- Learn how different systems connect: understand what the Intelligence Pod builds
Customer-Facing Site Support:
- Help maintain and support (AEM) and WordPress installations — responding to issues, fixing bugs, implementing small improvements
- Participate in code review: both receiving feedback on your code and reviewing code from peers (with guidance)
- Help with code maintenance: refactoring simple code, improving documentation, reducing technical debt
Learning Infrastructure & Integration Concepts:
- Observe and help with integration work: understand how we connect to external systems, why these connections are fragile, how errors are handled
- Learn what the broader Intelligence Pod does: building MCPs, working with agents, connecting marketing systems together
- Ask questions and document what you learn: you’re building your mental model of how these systems work
AI Exploration & Learning:
- Dedicate time to learning and experimenting with AI tools: LLM APIs (Claude, GPT, etc.), prompt engineering, understanding how agents work
- Build small personal projects and proof-of-concepts using AI: tools that solve real problems, experiments that help you understand AI capabilities and limitations
- Explore how AI can be integrated into our applications: think about where AI could improve user experience, automate tasks, or unlock new capabilities
- Learn about agent systems, multi-step reasoning, and tool use: understand what the Intelligence Pod is building and why
- Document your experiments and learnings: write up what you tried, what worked, what didn’t, and what you discovered
- Participate in code reviews and discussions about AI-centric solutions: understand how senior engineers think about AI architecture and tradeoffs
- Stay current on AI developments: follow announcements, experiment with new models/tools, and bring ideas back to the team
Development Practices:
- Write tests for code you write: unit tests on both frontend and backend, simple integration tests
- Deploy code to production (with a more experienced engineer watching/guiding the first few times)
- Debug production issues under mentorship: learn to read logs, understand error messages, trace through systems
- Participate in on-call rotation for customer-facing applications: responding to issues, escalating when needed
Growing Your Skills:
- Learn from code review: understand why experienced engineers structure code certain ways, ask questions about their decisions
- Pair program with senior engineers: watch how they debug, design, and think through problems on both frontend and backend
- Work on increasingly complex tasks as you gain confidence: from bug fixes, to small features, to contributing to larger pieces of infrastructure work
- Contribute to improving our team: documentation, test coverage, code clarity, processes that make everyone more effective
Communication & Collaboration:
- Write clear commit messages and PR descriptions
- Ask questions in team channels when you’re stuck — don’t wait until you’re frustrated
- Communicate regularly with your mentors about what you’re learning, where you’re struggling, and what you want to focus on next
- Help teammates when you can: testing code, reviewing docs, asking clarifying questions
Nice to Have:
- Academic or bootcamp projects demonstrating full-stack fundamentals (both frontend and backend)
- Experience with Git, GitHub, or similar version control in a team setting
- Familiarity with frontend testing frameworks (Jest, React Testing Library) or backend testing frameworks
- Experience with databases (PostgreSQL, MySQL) beyond just basic SQL
- Exposure to state management in React (Context API, Redux, Zustand, etc.)
- Exposure to CSS frameworks or CSS-in-JS libraries (Tailwind, styled-components, etc.)
- Exposure to backend frameworks or libraries (http://ASP.NET , Spring, etc.)
- Exposure to cloud platforms (AWS, GCP, Azure) or containerization (Docker)
- Interest in marketing technology, content management systems, or enterprise software
- Experimentation with AI tools (ChatGPT, Claude, GitHub Copilot, etc.) or interest in learning about LLMs
- Personal projects or experiments using AI APIs or tools
- Understanding of or curiosity about agent systems, prompt engineering, or generative AI
- Open source contributions or a GitHub profile showing projects you’ve worked on
JLL Off Campus Drive 2026 Application Process:-
Apply In Below Link-
Apply Link:- Click Here To Apply (Apply before the link expires)
NOTE :- Only shortlisted candidates will receive the call letter for further rounds
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