Python and CAPL Test Automation Developer (TK69SI RM 4349)

Source-Right; Pune District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Source-Right in Pune, India is seeking an experienced CANoe Test Automation Developer with strong expertise in automotive validation, ECU communication testing, and automation framework development. You will design and implement scalable test automation for ECU validation and vehicle integration testing, using Python, CAPL, CANoe, and related tools.

The role requires hands-on experience with automotive protocols, UDS diagnostics, and AUTOSAR, with CI/CD integration, and collaboration across

Qualifications

• Hands-on experience with CANoe, CAPL, and Python.
• Strong understanding of OOP concepts.
• Expertise in ECU validation & test automation framework development.
• Experience with automotive protocols CAN / CAN FD, LIN, FlexRay, Automotive Ethernet, UDS Diagnostics, AUTOSAR.

Responsibilities

• Design, develop, and maintain automated test frameworks for ECU validation and diagnostics.
• Develop test automation solutions using Python, CAPL, Cucumber/Gherkin, and KDT frameworks.
• Perform validation of ECUs across CAN, CAN FD, LIN, FlexRay, and Automotive Ethernet networks.
• Create and execute automated test cases for UDS diagnostics and AUTOSAR-based systems.
• Integrate automation frameworks with CI/CD tools such as Jenkins and Azure DevOps.
• Analyze test results, debug issues, and support root cause analysis.
• Collaborate with cross-functional teams for vehicle integration and system validation activities.

Skills

CANoe

CAPL

Python

OOP

Test Automation

CI/CD

Diagnostics

Vehicle Integration

Tools

CANoe

CANalyzer

vTESTstudio

CANape

Trace32

DLT Viewer

XIL API

Cucumber

Gherkin

KDT

Job description

Position: Python and CAPL Test Automation Developer (TK69SI RM 4349)

MANDATORY SKILLS- Testing – Verification Validation

PREFERRED SKILLS- Testing – Verification Validation

Job Overview

We are looking for an experienced CANoe Test Automation Developer with strong expertise in automotive validation, ECU communication testing, and automation framework development. The ideal candidate should have hands‑on experience in Python, CAPL, CANoe, and automotive network protocols, with a proven track record in designing and implementing scalable test automation solutions for ECU validation and vehicle integration testing.

Key Responsibilities

• Design, develop, and maintain automated test frameworks for ECU validation and diagnostics.
• Develop test automation solutions using Python, CAPL, Cucumber/Gherkin, and KDT frameworks.
• Perform validation of ECUs across CAN, CAN FD, LIN, FlexRay, and Automotive Ethernet networks.
• Create and execute automated test cases for UDS diagnostics and AUTOSAR-based systems.
• Integrate automation frameworks with CI/CD tools such as Jenkins and Azure DevOps.
• Analyze test results, debug issues, and support root cause analysis.
• Collaborate with cross-functional teams for vehicle integration and system validation activities.

Required Skills

• Strong experience in CANoe, CAPL, and Python Programming
• Good understanding of Object-Oriented Programming (OOPs)
• Expertise in ECU Validation & Test Automation Framework Development
• Hands‑on experience with:
• CANoe, CANalyzer, vTESTstudio
• CANape, Trace32, DLT Viewer
• XIL API
• Cucumber, Gherkin, BDD, KDT
• Experience with automotive protocols:
• CAN / CAN FD
• LIN
• FlexRay
• Automotive Ethernet
• UDS Diagnostics
• Good knowledge of AUTOSAR Architecture
• Experience in HIL Testing environments
• Exposure to Jenkins and Azure DevOps

Preferred Qualifications

• Experience in automotive domain validation and integration testing.
• Strong analytical and debugging skills.
• Excellent communication and stakeholder management skills.