Full Stack Developer

2 days ago

Bengaluru, Karnataka, India Mercedes Benz Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Key Responsibilities:

  • Design, develop, and maintain full-stack applications that visualize and manage engineering and test data.
  • Develop front-end dashboards and interfaces for real-time monitoring, model predictions, and reporting (e.g., equipment health, performance trends).
  • Collaborate with mechanical engineers and data scientists to integrate predictive and simulation models into production-ready tools.
  • Set up and manage databases (SQL/NoSQL) for structured storage of sensor, test, and simulation data.
  • Support software architecture decisions ensuring scalability, reliability, and maintainability of engineering applications.
  • Implement and maintain DevOps/MLOps practices, including version control, CI/CD pipelines, and cloud deployment.
  • Host and create technical forums to foster collaboration between software and mechanical engineering teams.

Required Skills and Experience:

  • Mechanical Domain: Understanding of CAD, GD&T, and tolerance simulations (preferred).
  • Programming Languages: C#, Python (FastAPI, Flask, Django), , JavaScript, C++.
  • Frontend Development: React, Vue, or Angular.
  • Databases: PostgreSQL, MySQL, or MongoDB.
  • Software Architecture: Strong understanding of API design, data flow, and scalable systems.
  • Data Handling: Experience working with engineering/scientific data such as CSV files, time series, and sensor logs.
  • DevOps Tools: Git, Docker, GitHub Actions/GitLab CI/Jenkins, basic Kubernetes or cloud deployment.
  • Soft Skills: Strong collaboration and communication in multidisciplinary teams; ability to think innovatively and bridge mechanical and digital engineering concepts.
  • Experience Range: 3-8 years in software development, preferably in the mechanical/automotive domain.

Educational Qualifications:

  • Bachelors / Masters degree in Mechanical Engineering, Computer Science, Mechatronics, or a related discipline.
  • Additional certifications (if any): Cloud (AWS/Azure), DevOps, or Full-Stack Development certifications are desirable.

Preferred Qualifications (Good to Have):

  • Familiarity with automotive or mechanical engineering workflows, especially tolerance management and simulation data.
  • Experience integrating AI/ML models or predictive analytics tools into production systems.
  • Exposure to global collaboration environments and agile methodologies.
  • Knowledge of Daimler systems, data structures, or internal engineering tools (preferred but not mandatory).

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