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Software Engineer Internship

GE Healthcare

Bengaluru, Karnātaka, India, 560066

Location: Bengaluru, Karnātaka, India, 560066
Job type: Internship
Experience: Internship
Work mode: On-site

Job Details	Information
Job Title	Software Engineer Internship
Role	Intern
Company	GE Healthcare
Job ID	R4039959
Location	Bengaluru, Karnātaka, India, 560066
Category	Digital Technology / IT
Experience	Internship
Employment Type	Internship
Work Mode	On-site
Primary Skill	WebSockets, typescript, PostgreSQL, HTML, MySQL, CSS, Java, Docker, JavaScript, Angular, Linux, Git, Spring Boot
Category	Digital Technology / IT
Relocation Assistance	No
Degree Requirement	B.Tech or M.Tech in Computer Science Engineering, AI/ML
Academic Performance	70% or 7 CGPA aggregate in the current degree
Backlogs	No active backlogs at the time of application
Work Arrangement	Willing to work in GE HealthCare premises during the internship
Posted Date	Nov 2, 2026

About this role

The intern works on projects in the next Monitoring solutions Software/ systems / test /Reliability Engineering teams.

GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

Internship Overview – AI‑Enabled Engineering

We are looking for enthusiastic and motivated AI‑enabled Engineering Interns to join our Systems engineering team. This internship offers hands-on experience in building intelligent, scalable, and cloud‑ready applications using Java Spring Boot, Angular, WebSockets, Docker, Linux, and modern front-end technologies—augmented by AI-assisted development practices, automation, and data-driven decision making.

Interns will work in a real-world Systems engineering environment, leveraging AI tools and best practices to improve developer productivity, software quality, and system reliability.

Responsibilities

Assist in designing and developing AI‑enabled full-stack applications using Spring Boot (backend) and Angular (frontend).
Build and integrate RESTful APIs and real-time communication using WebSockets.
Apply AI-assisted coding and debugging tools to accelerate development and improve code quality.
Develop user-centric, responsive web interfaces using HTML, CSS, and JavaScript.
Work in Linux-based environments for application development, testing, and deployment.
Implement and manage Docker-based containerized deployments to ensure scalability and portability.
Support intelligent automation for testing, deployment, and monitoring (CI/CD exposure).
Debug, analyze, and troubleshoot technical issues using structured problem-solving approaches.
Collaborate in agile ceremonies and contribute to engineering discussions driven by data and insights.
Follow best coding practices and maintain well-documented, maintainable, and testable code.
Willing to work on any projects as assigned based on fitment and business need.

Requirements

Experience: Internship

Strong programming fundamentals in Java with familiarity in Spring Boot.
Knowledge of Angular or modern JavaScript/TypeScript frameworks.
Basic understanding of real-time systems (WebSockets or event-driven architectures).
Hands-on experience with Linux commands and shell scripting.
Proficiency in HTML, CSS, and JavaScript for front-end development.
Understanding of RESTful services and backend–frontend integration.
Basic exposure to Docker and containerization concepts.
Strong analytical thinking and problem-solving skills.
Curiosity and eagerness to learn AI-assisted engineering practices.
Effective communication and teamwork skills.
Experience with Git and version control workflows (Preferred).
Familiarity with database systems such as MySQL or PostgreSQL (Preferred).
Exposure to CI/CD pipelines, automation, or cloud-native concepts (Preferred).
Awareness of AI tools for software engineering (Preferred).
B.Tech or M.Tech in Computer Science Engineering, AI/ML.
70% or 7 CGPA aggregate in the current degree.
No active backlogs at the time of application.

Skills & technologies

Key skills

WebSockets typescript PostgreSQL HTML MySQL CSS Java Docker JavaScript Angular Linux Git Spring Boot

How to apply

Job ID: R4039959

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