Full Stack Developer - Dimensional Management

Mercedes Benz

3 - 8 years

8 - 12 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

api python software development javascript data flow continuous integration kubernetes ci/cd vue.js artificial intelligence sql docker react.js git postgresql jenkins mysql mongodb gd ml c# github microsoft azure nosql angular node.js django flask

Work Mode

Work from Office

Job Type

Full Time

Job Description

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), Node.js, 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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