Back End engineer at Bosch Group

Bangalore, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, Digital Twins, Microservices, APIs, Kubernetes, Docker, Event-Driven Architectures, Kafka, MQTT, Predictive Models, Anomaly Detection, Time-Series Forecasting, Cloud Deployment, AWS, Azure, GCP

Industry

Software Development

Description

Company Description 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. Job Description Roles & Responsibilities : We are looking for a Back end engineer to join our Industrial Digital Twin Solutions team. The role will focus on developing AI/ML models, data pipelines, and analytics frameworks to simulate, predict, and optimize industrial systems in a digital twin environment. You will work closely with cloud architects, IoT engineers, and domain experts to transform raw industrial data into actionable insights that drive efficiency, reliability, and innovation. Qualifications Educational qualification: Bachelor’s/Master’s in Computer Science, Data Science, or related fields. Experience in backend development and/or data science. Strong skills in Python, Java/Go/Node.js for backend APIs. Experience with cloud-native platforms (AWS, Azure, GCP). Proficiency in databases: SQL, NoSQL, and time-series DBs (TimescaleDB, InfluxDB). Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Experience : Fresher can also apply Mandatory/requires Skills : Backend Engineering for Digital Twins Design and implement cloud-native microservices for ingesting, processing, and storing real-time IoT and simulation data. Build scalable APIs to expose digital twin data and analytics to applications, dashboards, and external systems. Ensure low-latency, high-availability deployments using Kubernetes, Docker, and cloud-native orchestration. Work with event-driven architectures (Kafka, MQTT, Azure Event Hub, AWS Kinesis). Data Science & Analytics Develop and deploy predictive models, anomaly detection, and optimization algorithms for digital twins. Implement time-series forecasting, sensor fusion, and ML-based system behavior modeling. Collaborate with simulation teams to integrate physics-based + AI hybrid models. Support streaming analytics pipelines using Spark, Flink, or cloud-native equivalents. Cloud Deployment & Integration Deploy solutions on AWS, Azure, or GCP cloud platforms. Work with IoT cloud services (Azure Digital Twins, AWS IoT TwinMaker, Siemens MindSphere, PTC ThingWorx). Integrate with visualization tools (PowerBI, Grafana, Unity/Unreal for 3D digital twin dashboards). Ensure security, compliance, and scalability of cloud-hosted digital twin services. Preferred Skills : Exposure to digital twin platforms (Azure Digital Twins, AWS TwinMaker, Dassault 3DEXPERIENCE). Familiarity with 3D visualization, AR/VR, or simulation data pipelines. Knowledge of MLOps & DevOps (CI/CD pipelines for ML models and backend services). Experience in edge-to-cloud integration for IoT data pipelines. Legal Entity: Bosch Global Software Technologies Private Limited

Responsibilities

The role focuses on developing AI/ML models, data pipelines, and analytics frameworks to simulate, predict, and optimize industrial systems within a digital twin environment. Responsibilities include designing and implementing cloud-native microservices for data ingestion and building scalable APIs to expose digital twin data and analytics.