Full Stack Developer | Bangalore

Candidates typically face three rounds: an initial coding test, a technical interview covering system design and architecture, followed by an HR round. The coding round focuses on Python/Go, data structures, and problem‑solving speed. The technical interview delves into distributed systems, networking concepts, and AI/ML basics. Interviewers value clean code, clear communication, and a growth mindset. Preparation tips include practicing coding on platforms like LeetCode, building small projects, and reviewing networking fundamentals.

Round 1: Technical (Coding & System Design) → Round 2: Technical (Architecture & Design) → Round 3: HR

HPE fosters a collaborative environment where ideas are encouraged and innovation is rewarded. Employees benefit from structured career paths, continuous learning opportunities, and a healthy work‑life balance that supports both professional growth and personal well‑being.

Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field (B.E./B.Tech./M.E./M.Tech./M.Sc./B.Sc.). Minimum 60% in qualifying exam or equivalent GPA. 1–2 years of professional experience in software development. No backlogs allowed. Candidates must be eligible for employment in India and able to work onsite in Bangalore.

Hewlett Packard Enterprise (HPE) is a global leader in enterprise IT, providing cutting‑edge solutions in cloud, edge, storage, networking and AI. With a presence in over 170 countries, HPE empowers businesses to transform digitally and build resilient infrastructures. The company is known for its culture of innovation, customer‑centricity and a strong focus on sustainability and ethical practices. The Full Stack Developer role in Bangalore is part of HPE’s Network Performance Monitoring, Automation & AI/ML team. The position is onsite, full‑time, and targets freshers or early‑career professionals with 1–2 years of experience. The developer will design, build and maintain user interfaces and backend services that power network monitoring dashboards, troubleshooting tools and AI‑driven automation. The role blends front‑end development, distributed systems engineering, and AI/ML analytics to deliver reliable, scalable solutions for global customers. Key Responsibilities: 1. Design and develop responsive UI components using modern frameworks. 2. Build and optimize backend services in Python or Go. 3. Implement distributed micro‑services that handle large volumes of network telemetry. 4. Integrate with databases (SQL/NoSQL) for efficient data storage and retrieval. 5. Collaborate with network engineers to translate monitoring requirements into software features. 6. Develop AI/ML models for anomaly detection and predictive maintenance. 7. Automate deployment pipelines using Docker, Kubernetes, Helm, Ansible and Jenkins. 8. Participate in code reviews, unit testing and performance tuning. 9. Troubleshoot production issues and propose remediation strategies. 10. Contribute to product road‑map discussions and technical documentation. Tech Stack: Python, Go, React/Vue/Angular, REST/GraphQL APIs, Docker, Kubernetes, Helm, Ansible, Jenkins, SQL/NoSQL, OpenStack, AI/ML libraries (scikit‑learn, TensorFlow), network monitoring tools. Growth Path: Entry‑level developers can progress to Senior Software Engineer, Lead Engineer, and eventually Technical Architect or Product Manager roles. HPE offers continuous learning through internal certifications, mentorship programs, and exposure to global projects. Why Join HPE? The company offers competitive compensation, a collaborative work environment, and opportunities to work on industry‑leading products that impact millions of users worldwide. Employees enjoy a healthy work‑life balance, flexible work arrangements, and a culture that rewards innovation and excellence.