Full Stack Developer – Battery Analytics Platform - Fresher

Overview

About the job:

We are looking for a highly motivated Full Stack Developer to build a scalable software infrastructure for BatteryScope. You will work across the complete technology stack from data ingestion pipelines and backend services to interactive dashboards and cloud deployment.

This role involves close collaboration with hardware engineers, data scientists, and product teams to build reliable, high-performance analytics platforms for real-world battery deployments.

Key Responsibilities:

1. Design and develop scalable backend services for battery telemetry, diagnostics, and analytics
2. Build responsive web dashboards and visualization tools for battery health insights
3. Develop APIs for communication between edge devices, cloud services, and user applications
4. Implement data pipelines for time-series battery signals and feature extraction outputs
5. Integrate machine learning inference services into production workflows
6. Design databases for high-volume sensor data storage and efficient retrieval
7. Support deployment and monitoring of cloud infrastructure
8. Collaborate with embedded and signal-processing teams for data integration and validation
9. Ensure code quality through testing, documentation, and best practices

Who can apply:

Only those candidates can apply who:

1. are Computer Science Engineering students

Salary:

₹ 4,20,000 - 8,40,000 /year

Experience:

No experience required

Deadline:

2026-04-22 23:59:59

Skills required:

HTML, CSS, JavaScript, Cloud Computing, Python, Algorithms, Django, Node.js, React, REST API, Flask and Django Rest Framework

Other Requirements:

1. Preference for candidates who can join immediately

2. Exposure to data visualization libraries such as Plotly, D3.js, or ECharts

3. Experience handling high-frequency sensor data

4. Familiarity with machine learning deployment

5. Interest in electric vehicles, batteries, or energy systems

About Company:

ThinkClock Battery Labs is an R&D-driven company focused on battery health analytics using spectroscopy techniques, namely EIS (electrochemical impedance spectroscopy), acoustic, and RF spectroscopy. We reveal the diagnostic insight about the battery health while relating the microscopic data of the battery to the observable system-level behavior with the help of the models based on physics and machine learning. ThinkClock offers lab-based battery characterization services (for performance and uniformity assessment) to cell OEMs and battery pack manufacturers. We are creating a cell benchmarking database for the commercially available cells using the lab-based characterization data to provide an independent source of truth for the system integrators. While leveraging our cell benchmarking database, we have developed a portable tool, CellScope, which can quickly assess the health of a cell using spectroscopic techniques.