обновлено 5 дней назад
Software Quality Intelligence Engineer (AI)
246 800 - 377 000PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Quality Intelligence Engineer (AI): Validating telemetry, events, logs, crash reports, and analytics pipelines for collaboration devices with an accent on data accuracy, software reliability, and quality analytics. Focus on designing automated validation tools, investigating regressions and customer issues, and applying AI to root cause analysis and release readiness.
Location: Krakow or Warsaw, Poland. Hybrid working model with 3 days per week in the office.
Salary: PLN 246,800–377,000 per year, depending on location, experience, skills, and business needs.
Company
develops collaboration devices and software used worldwide, with a focus on improving teamwork, productivity, equality, and sustainability.
What you will do
- Design and execute manual and automated tests for software telemetry, events, logs, crash reports, and analytics.
- Validate end-to-end data flows from collaboration devices through analytics pipelines to dashboards.
- Analyze telemetry, system logs, and field data to identify quality trends, regressions, and improvement opportunities.
- Investigate customer issues with engineering teams, perform root cause analysis, and validate software fixes.
- Develop automation tools, scripts, and dashboards for anomaly detection and software quality monitoring.
- Provide data-driven insights for release readiness, software stability, reliability, and customer impact.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
- 5+ years of experience in Software QA, Software Analytics, or Software Development.
- Strong knowledge of software development and testing methodologies.
- Experience validating software on Android or Linux-based systems and analyzing logs, telemetry, and software behavior.
- Proficiency in SQL and Python for data analysis, validation, automation, or scripting.
- Strong analytical, debugging, problem-solving, and communication skills.
Nice to have
- Experience with Android development or testing, embedded Linux, telemetry and observability platforms, or crash analytics tools.
- Familiarity with Snowflake, BigQuery, Databricks, CI/CD, DevOps, Jira, or defect management systems.
- Experience with statistical analysis, trend analysis, AI-assisted debugging, analytics, or collaboration products.
- Familiarity with Tableau, Power BI, Grafana, or similar data visualization platforms.
Culture & Benefits
- Hybrid work environment with flexibility depending on the team or department.
- Comprehensive benefits aligned with local market practices and country policies.
- Support for physical, financial, emotional, intellectual, and social wellbeing.
- Inclusive workplace focused on collaboration, diversity, equality, and sustainability.
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