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Full stack Engineer

Bosch Group

Skills

Required

  • software development
  • Java 8+ / Python
  • Django
  • Flask
  • FastAPI
  • React
  • Angular
  • Vue.js
  • PostgreSQL
  • MySQL
  • MongoDB
  • Azure
  • Docker
  • Kubernetes
  • junit

Preferred

  • cloud environments
  • CI/CD pipelines
  • automated deployments
  • infrastructure design principles
  • data analysis
  • visualization
  • modeling
  • ML
  • Java
  • JavaScript

We are seeking a highly motivated and experienced Junior Full Stack Developer with a strong focus on Java / Python to join our dynamic Engineering team. In this role, you will be instrumental in developing and maintaining cutting-edge applications that support our initiatives and engineering efforts. You will collaborate closely with Architects, Senior engineers, and product managers to translate complex requirements into robust, scalable, and user-friendly solutions.

About Bosch Group

6+ Yrs

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Responsibilities

  • This position offers the opportunity to contribute to impactful projects, work with the latest technologies, and shape the future of technological innovation and research-driven solutions.
  • Full Stack Development: Develop, and maintain high-quality web applications and services using Java / Python and related frameworks (e.g., Springboot, Django, Flask, FastAPI).
  • Develop and maintain robust and scalable RESTful APIs.
  • Build and maintain user-friendly and responsive front-end interfaces using modern JavaScript frameworks (e.g., React, Angular, Vue.js).Write clean, well-documented, and testable code.
  • Perform QC activities on one or more web-based applications.
  • Debug and troubleshoot issues across software application(s), ensuring timely resolution.
  • Work closely with Senior Engineers, and Product Managers to understand requirements and translate them into technical specifications.
  • Communicate effectively with both technical and non-technical audiences.
  • Contribute to team knowledge sharing and documentation efforts.

Requirements

  • Bachelor's degree in computer science, Software-Engineering, or a related field.
  • Experience:3: - 6 years of professional software development experience 3+ years of experience with Java 8+ / Python and related web frameworks (Springboot, SpringMVC, Django, Flask, FastAPI).
  • Strong experience with front-end development using modern JavaScript / Typescript frameworks (React, Angular, Vue.js, HTML, CSS3)Experience designing and developing RESTful APIs.
  • Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Experience working in an agile development environment.
  • Technical Skills - Proficient in Java 8+ / Python programming language.
  • Strong understanding of web development principles and best practices.
  • Solid understanding of data structures and algorithms.
  • Experience with testing frameworks (e.g., junit, pytest, unittest).
  • Familiarity with version control systems (Git).Experience working on Linux OS Soft Skills - Excellent communication, interpersonal, and collaboration skills.
  • Strong problem-solving and analytical skills.Ability to work independently and as part of a team.
  • Passion for learning and staying up to date with the latest technologies.

Preferred

  • Experience deploying and maintaining applications in cloud environments (AWS, Azure, GCP).Familiarity with CI/CD pipelines for automated deployments, containerization (docker) and Kubernetes Understanding of scalable and reliable infrastructure design principles.
  • Ability to build tools for data analysis, visualization, and modeling.
  • Exposure to integrating ML algorithms or models into applications Interest in exploring novel solutions to complex technical problems.
  • Awareness of coding standards, best practices, and emerging technologies.
  • Experience with specific research domains (e.g., machine learning, data science, scientific computing).