Associate Software Engineer IRC303008

Round 1: Online coding test (data structures, algorithms, basic scripting) → Round 2: Technical interview (web technologies, problem solving, project discussion) → Round 3: HR interview (fit, communication, expectations)

GlobalLogic promotes a learning‑first culture where engineers are encouraged to experiment and upskill. The company offers clear career ladders, regular internal mobility and a supportive environment that balances challenging projects with flexible schedules and remote‑work options when needed.

Candidates typically face a timed online coding test focusing on data structures, algorithms and basic JavaScript. The technical interview dives deeper into web‑scraping concepts, API handling and debugging scenarios, while the HR round assesses communication skills and cultural fit. Preparation should include hands‑on practice with browser automation tools and clear articulation of past projects.

Graduates (B.Tech/B.E/M.Tech) in Computer Science, Information Technology, Electronics & Communication or related streams; Minimum CGPA/percentage 60%; Batch year 2023‑2026; No active backlogs at the time of joining; Strong foundation in programming and web technologies.

GlobalLogic, a Hitachi Group Company, has been a leading digital engineering partner since 2000. With a presence in more than 30 cities worldwide, the firm helps Fortune‑500 brands transform their businesses through intelligent products, platforms and services. The company’s culture blends a strong engineering focus with a collaborative, open‑minded environment, encouraging employees to experiment, learn and grow. GlobalLogic’s Indian delivery centers, especially the Gurgaon hub, are known for working on cutting‑edge projects in high‑tech, media, healthcare, retail and telecom domains, giving engineers exposure to global clients and modern technology stacks. The role of Associate Software Engineer (IRC303008) is designed for fresh graduates who are passionate about web technologies and data extraction. As a member of the Web Intelligence team, you will build and maintain robust web scrapers, automate browser interactions, and ensure that extracted pricing and content data is accurate, timely and ready for downstream analytics. You will work closely with senior engineers, product managers and quality assurance teams to deliver high‑quality data pipelines for large‑scale projects. Key Responsibilities: 1. Design, develop and maintain web scrapers using JavaScript, HTML, CSS selectors and related scripting tools. 2. Implement API calls and data parsing logic to fetch and transform information from diverse sources. 3. Ensure data quality by incorporating validation, error‑handling and logging mechanisms. 4. Optimize crawling performance to handle high‑volume requests while respecting target site policies. 5. Collaborate with cross‑functional teams to understand data requirements and deliver on project timelines. 6. Conduct debugging and root‑cause analysis for any extraction failures or performance bottlenecks. 7. Write clear documentation and share knowledge with peers for reusable components. 8. Participate in code reviews and adopt best practices for clean, maintainable code. 9. Stay updated with emerging web‑scraping frameworks, browser automation tools and security considerations. 10. Contribute ideas for process improvements and automation of repetitive tasks. Tech Stack: JavaScript (ES6+), HTML5, CSS3, CSS Pre‑processors (SASS/LESS), JSON, OOP concepts, MVC frameworks, Node.js, Puppeteer/Playwright for browser automation, RESTful APIs, Git. Growth Path: Starting as an Associate Engineer, you can progress to Software Engineer, Senior Engineer, Lead Engineer and eventually Architect or Project Lead, with opportunities to move across domains or even to GlobalLogic’s international centers. Why Join GlobalLogic? The company offers exciting projects with global brands, a collaborative environment that encourages learning, flexible work‑life balance, comprehensive benefits and a strong focus on professional development through certifications, communication workshops and mentorship programs. If you are a quick learner who enjoys solving real‑world data challenges, this role provides the perfect launchpad for a rewarding engineering career.