PA
PaccarDiagnostics Engineer (Test Automation, Java/ Python, QF-Test) (Pune, IN)
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Before you apply
LocationPune, IN
Typefull-time
SeniorityMid
Experience3–5 yrs
Company size10,000+ people
First seenOct 30, 2026 · 6d ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science / Electronics / Electrical / Mechatronics / Mechanical / Automotive Engineering
3 to 5 Years of technical/professional experience
Domain: Automotive – Diagnostic Test Automation
Test automation using Java and/or Python
Automated test framework development and maintenance
Experience with QF-Test or similar automation tools
Strong analytical and structured problem-solving skills
Effective verbal and written communication skills
Ability to collaborate effectively with global cross-functional teams
Structured approach to troubleshooting and issue resolution
Ability to manage assigned priorities and deliverables effectively
Ownership and continuous improvement mindset
Jenkins and CI/CD pipelines
Vehicle Diagnostics (UDS, J1939, CAN, ECU Communication)
Diagnostic simulation and troubleshooting tools
Application Lifecycle Management (ALM)
Version control tools
Skills
Java
Python
QF-Test
Jenkins
CI/CD
UDS
J1939
CAN
ALM
Version control tools
Requisition Summary:
PACCAR India is looking for a skilled Diagnostic Automation Engineer to join its dynamic team in Pune. The role focuses on supporting the automated verification and validation of vehicle diagnostic applications by developing scalable test automation solutions, enabling reliable software quality, faster validation cycles, and efficient deployment across global vehicle programs.
About the company
At PACCAR, you’ll be part of a purpose-driven organization known for engineering excellence, innovation, and a strong commitment to employee growth and well-being. We foster a collaborative, inclusive environment where your ideas are valued, your contributions make a real difference, and your career can thrive as you help build world-class products that power the future of transportation.
Job Function / Responsibilities:
•
Analyze diagnostic test application requirements and identify opportunities to improve verification efficiency through test automation.
•
Design, develop, and maintain automated test solutions for vehicle diagnostic systems and related software applications.
•
Execute automated diagnostic test suites, evaluate results, and ensure compliance with functional, performance, and quality requirements.
•
Investigate test automation failures, perform root-cause analysis, and support timely issue resolution.
•
Maintain and enhance test automation frameworks, tools, and regression test suites to improve coverage, reliability, and execution efficiency.
•
Support continuous integration and automated validation activities within the software development lifecycle.
•
Collaborate with global diagnostic, software development, validation, and engineering teams to deliver project milestones and support vehicle program objectives.
Qualification:
•
Bachelor’s degree in Computer Science / Electronics / Electrical / Mechatronics / Mechanical / Automotive Engineering
Required Skills:
•
Technical / Professional Experience Requirements: 3 to 5 Years
•
Domain: Automotive – Diagnostic Test Automation
•
Primary Skills
•
Test automation using Java and/or Python.
•
Automated test framework development and maintenance.
•
Experience with QF-Test or similar automation tools
•
Technical / Professional Experience Desired:
•
Jenkins and CI/CD pipelines.
•
Vehicle Diagnostics (UDS, J1939, CAN, ECU Communication)
•
Diagnostic simulation and troubleshooting tools.
•
Application Lifecycle Management (ALM)
•
Version control tools
Competencies and Behaviours:
•
Strong analytical and structured problem-solving skills.
•
Effective verbal and written communication skills.
•
Ability to collaborate effectively with global cross-functional teams.
•
Structured approach to troubleshooting and issue resolution.
•
Ability to manage assigned priorities and deliverables effectively.
•
Ownership and continuous improvement mindset.
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