Smart Signal QA Engineer — Python Automation & Testing

Capgemini Polska Sp. z o.o.; Poland; Hybrid; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Medical care (Medicover)

Private life insurance

Sports card

Hybrid work model

Home office package

Training & certification access

Job summary

Capgemini Engineering, a leader in engineering services, seeks a Smart Signal BP Testing Specialist to ensure the accuracy, reliability, and performance of Smart Signal Blueprints. You will tackle complex technical challenges, work with time-series data, and impact global clients across industries.

Join a collaborative, innovative team offering hybrid work, extensive training, and a supportive environment focusing on quality and continuous improvement.

Qualifications

• 5+ years of experience in software testing or QA.
• Proficiency in Python (v3.6+) for scripting and automation.
• Experience with time-series data and validating data-heavy workflows.
• Strong analytical and debugging skills; ability to communicate findings clearly.
• Knowledge of Smart Signal platforms and APM environments is a plus.

Responsibilities

• Design and execute comprehensive test plans and validation strategies for end-to-end Blueprint processes in Smart Signal.
• Work hands-on with time-series data to validate data-heavy processes and ensure data integrity.
• Develop and maintain robust Python scripts to support testing, automation, and validation across Smart Signal.
• Proactively debug complex issues and perform root-cause analyses of failing test scenarios.
• Apply QA methodologies to improve testing coverage, quality and efficiency across Blueprint cycles.

Skills

QA methodologies

Python (v3.6+)

Time-series data

Debugging

Smart Signal platforms

APM environments

Job description

Capgemini Engineering, a leader in engineering services, seeks a Smart Signal BP Testing Specialist to ensure the accuracy, reliability, and performance of Smart Signal Blueprints. You will tackle complex technical challenges, work with time-series data, and impact global clients across industries.

Join a collaborative, innovative team offering hybrid work, extensive training, and a supportive environment focusing on quality and continuous improvement.