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Senior Software Development Engineer - Ring AI Data and QA Automation

Amazon

Senior Software Development Engineer - Ring AI Data and QA Automation

Amazon

Gdansk, POL

·

On-site

·

Full-time

·

1mo ago

Compensation

PLN 346,392 - PLN 346,392

Benefits & Perks

Annual team offsites

Health, dental, and vision coverage

Learning and development stipend

Top Tier compensation with equity

Parental leave program

Wellness benefits

Required Skills

Python

Apache Spark

Airflow

  • Join the Ring AI Data and QA Automation team in Gdańsk
  • Poland as a Senior Software Development Engineer. In this role, you will design and implement AI validation frameworks and data coordination tooling that power Ring's AI features.
    You'll leverage the latest generative AI models to build automated validation systems, develop scalable data collection and annotation pipelines, and help establish the foundation for continuous testing across Ring devices.
    This is an opportunity to shape the technical direction of a growing team while delivering high-impact solutions that directly improve AI feature quality for millions of Ring customers.
  • Key job responsibilities
  • Design, build, and maintain AI validation frameworks for automated testing of Ring device AI features
  • Build data coordination tooling for collection, annotation, and auditing workflows that support ML model development
  • Implement continuous testing solutions for initiatives including device onboarding validation, hardware stress testing, and internationalization testing
  • Create scalable automation frameworks that improve testing coverage and reliability across the AI feature portfolio
  • Partner with cross-functional stakeholders to define data requirements, quality standards, and testing strategies
  • Contribute to technical design decisions and help establish best practices for the team
    About the team
    We are a tech and ops team within Ring AI, focused on two key areas: Continuous Testing and Data Coordination Tooling. We deliver continuous testing for new device onboarding while building the tooling that powers Ring's AI/ML initiatives. We bring a proactive, can-do mindset to everything we do and work closely with stakeholders across Ring to drive testing, reliability, and data quality at scale.
    The minimum base pay salary for this position is listed below. As a total compensation company, Amazon's package may include further pay components such as a sign on payment and the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final base pay and any applicable total compensation elements depending on skills and requirements.
    Company discretionary, supplementary benefits apply subject to further terms, including pension plans, health insurance, life and disability insurance, business travel insurance, Multi Sport card, employee discount code and program (EDC/Extras), commuter benefits where applicable, and the Employee Assistance Program (private and confidential counselling and referral service to support health and well-being).
    The minimum base pay for this position is PLN 28,866 monthly.

Basic Qualifications

  • Multiple years of professional software development experience
  • Strong proficiency in more then one programming language (Typescript, Python, Java, or similar)
  • Experience building data pipelines, tooling, or infrastructure for ML/AI systems
  • Experience with test automation frameworks and continuous integration/continuous deployment practices
  • Demonstrated ability to design and deliver complex technical projects independently

Preferred Qualifications

  • Bachelor's degree in computer science or equivalent experience
  • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
    Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
    Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge