Senior Python Test Automation Engineer

Luxoft

Karnataka

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Gym membership

Job summary

Luxoft is seeking a test automation engineer to design and maintain automated test scripts for a parking app project using OpenGL for a Japanese car OEM. You will validate end-to-end software, perform regression testing, and document results across multiple environments.

The role requires hands-on experience with automotive testing tools (CANoe, CAN/CAN FD, LIN, Automotive Ethernet) and ASPICE processes. You will collaborate in cross-functional teams and support release validation efforts.

Qualifications

  • Python with automated test frameworks and CI/CD validation experience.
  • Hands-on Vector CANoe experience for automotive validation and testing.
  • Experience with CAN, CAN FD, LIN, Automotive Ethernet, UDS diagnostics, DTC analysis and ECU flashing.
  • Experience with requirement management tools IBM DOORS or CodeBeamer.
  • Strong understanding of ASPICE SWE.4, SWE.5, SWE.6.
  • End-to-end testing and validation lifecycle including test execution, smoke, regression and re-testing.
  • Hardware-in-the-Loop (HIL) testing environments.

Responsibilities

  • Develop and maintain automated test scripts to improve efficiency, repeatability and coverage.
  • Execute end-to-end validation activities and document results accurately.
  • Run smoke tests on software releases and maintain release notes and validation evidence.
  • Report test status, progress and defects to stakeholders.
  • Participate in reviews of requirements and test cases in cross-functional meetings.
  • Manage defects using ticketing systems with tracking and closure.
  • Operate test benches including power supplies, CANoe, ECUs and hardware harnesses.
  • Ensure compliance with ASPICE SWE.6.

Skills

Python
Vector CANoe
CAN protocol
CAN FD
LIN
Automotive Ethernet
UDS diagnostics
DTC analysis
ECU flashing
IBM DOORS
CodeBeamer
ASPICE SWE.4/5/6
End-to-end testing
HIL testing
CAPL scripting
C++/C#/Java
Git
NI TestStand
QNX/Linux embedded

Tools

Vector CANoe
Git
IBM DOORS
CodeBeamer
NI TestStand

Job description

Project description

Designing View for Parking app using OpenGL technology for Japanese car OEM.

Responsibilities
  • Develop and maintain automated test scripts to improve test efficiency, repeatability, and coverage
  • Execute end-to-end software validation activities, including functional, integration, regression, re-testing, and release validation and document results accurately
  • Execute smoke tests on software releases and maintain release documentation, including release notes and validation evidence
  • Report test execution status, progress, and defects regularly to stakeholders
  • Participate in requirements and test case reviews in cross-functional meetings or individually
  • Manage defects using ticketing systems, including tracking, prioritization, follow-up, and closure
  • Operate test benches including power supplies, Vector CANoe, ECUs, and perform hardware harness modifications
  • Ensure compliance with ASPICE standards, particularly SWE.6.
SKILLS
Must have
  • Python- Experience with automated test frameworks and CI/CD validation environments.
  • Hands-on experience with Vector CANoe for automotive validation and testing
  • Experience with automotive communication protocols including CAN, CAN FD, LIN, and Automotive Ethernet, along with UDS diagnostics, DTC analysis, and ECU flashing
  • Experience with requirement management tools such as IBM DOORS or Codebeamer
  • Strong understanding of ASPICE processes (SWE.4, SWE.5, SWE.6)
  • Experience in end-to-end testing and validation lifecycle including test execution, smoke, regression, and re-testing
  • Experience in Hardware-in-the-Loop (HIL) testing environments
Nice to have
  • CAPL scripting for CAN-based test automation
  • C++ / C# / Java scripting experience
  • Version control tools such as Git
  • Experience with NI TestStand automation frameworks
  • Experience with QNX or Linux-based embedded automotive systems
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