Software Quality Assurance Engineer (Java/JS/TS and Playwright)

🏢 Summary: Development of cross-platform mobile and desktop applications that extend body-worn and in-car video systems with evidence categorization, tagging, and review features. The role covers full-cycle software development for Android, iOS, and Windows applications integrated with Digital Evidence Management Systems. Responsibilities include implementing, testing, and improving software components using modern cross-platform and native technologies. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field, Minimum 1+ year experience in mobile application development, Proficiency in at least one: Swift, Java, Kotlin, or Dart, Practical experience with cross-platform frameworks (Flutter preferred), Knowledge of design patterns, data structures, and algorithms, Experience with automated testing and CI/CD, Practical experience with Unix-based CLI tools, Proficiency with Git, Knowledge of software testing methodologies, English proficiency for technical communication 📃 Skills: Dart, Flutter, Kotlin, Java, Swift, .NET, C#, Git, CI/CD, Unix, Android, iOS, Windows, REST, HTTP, Gradle, AWS, GCP, Azure 🏢 Description: Every day first responders around the world record thousands of hours of videos and collect other critical digital evidence - essential for transparency, accountability, and ultimately, making the world a safer place. Managing this amount of digital evidence, including documentation and tagging is a tedious and time-consuming task. This is where our applications steps in, streamlining this process and allowing first responders to focus more on their primary mission. Job Description Our team is working on cross-platform applications (Android, iOS and Windows) that extend functionalities of the newest Motorola body-worn cameras and in-car video systems with features like categorization, tagging and review of the footage that allows users to perform evidentiary tasks on the go. By contributing to and complementing our Digital Evidence Management Systems (DEMS), it enables our customers, ranging from law enforcement agencies through government agencies to retailers, to have a resilient evidentiary platform that enables transparency and accountability. Your responsibilities will include design, development, testing, maintenance and improvements of the software running on both mobiles (Android and iOS) and desktop PCs (Windows). Key Responsibilities: Full-cycle software development, encompassing coding, unit, and integration testing, as well as code reviews. Participation in the analysis of new feature requirements and design proposals. Collaboration with cross-functional teams, including QA and UI/UX. Continuous improvement of the development and testing environment. Support in defect analysis and troubleshooting customer-reported issues. Key Technologies Used: Dart/Flutter: Primary language and framework for the application and tests. Kotlin (with some Java) & Swift: Used for the mobile application's native components . .net/C#: Powers a component in the desktop/Windows application variant. Development Environment & Tools: GitHub: Utilized for code repositories, CI/CD, and code reviews. AI Tools: We leverage tools like Cursor and Copilot. Equipment: Development is done on Macbooks, involving daily work with various cameras and prototype hardware. Basic Requirements Bachelor’s degree in Engineering, Computer Science or a related technical discipline, or equivalent experience. At least 1+ years of documented mobile apps programming experience Experience and proficiency in at least one of Swift/Java/Kotlin/Dart languages Experience and practical knowledge of cross-platform frameworks - ideally Flutter - and willingness to continue that journey Solid, practical knowledge of design patterns, data structures, algorithms and software design Knowledge of software engineering best practices including build environments, automated testing and CI/CD Practical experience with Unix-based CLI/shell tools Good knowledge of git tooling Knowledge of software testing methodologies and the testing life cycle English language skills at level allowing efficient communication Bonus points for: ​ Knowledge of C#/.net/JavaScript Expert skills in one the native stacks (Android/iOS/Windows) Understanding HTTP and RESTful designs (familiarity with OpenAPI is an extra plus) Knowledge of digital imaging/photography and audio/video coding Familiarity with basic networking concepts (TCP/IP, DHCP etc.) Experience with WiFi and Bluetooth protocols Knowledge of SSL/TLS protocols, certificates, mutual authentication etc. Knowledge of Gradle build tooling Experience automating manual build and delivery pipelines Prior experience automating end-to-end integration testing for mobile applications Experience with cloud platforms such as AWS, GCP and Azure

🏢 Summary: Development role focused on building and maintaining cross-platform mobile and desktop applications for digital evidence management, supporting body-worn cameras and in-car video systems. The position covers full-cycle software development, including design, coding, testing, and collaboration with QA and UI/UX teams. The goal is to enhance evidentiary workflows through robust, scalable applications on Android, iOS, and Windows. 🗂️ Requirements: Bachelor’s degree in Computer Science, Engineering or related field, Minimum 3+ years of mobile application development experience, Proficiency in at least one: Swift, Java, Kotlin or Dart, Practical experience with cross-platform frameworks, preferably Flutter, Strong knowledge of design patterns, data structures and algorithms, Experience with build environments, automated testing and CICD, Proficiency with Unix-based CLI tools, Good working knowledge of Git, Understanding of software testing methodologies and lifecycle, Ability to communicate effectively in English 📃 Skills: Dart, Flutter, Kotlin, Swift, Java, C#, NET, GitHub, CICD, Git, Unix, REST, OpenAPI, TCPIP, DHCP, WiFi, Bluetooth, SSL, TLS, Gradle, AWS, GCP, Azure 🏢 Description: Every day, first responders around the world record thousands of hours of videos and collect other critical digital evidence - essential for transparency, accountability, and ultimately, making the world a safer place. Managing this amount of digital evidence, including documentation and tagging is a tedious and time-consuming task. This is where our applications steps in, streamlining this process and allowing first responders to focus more on their primary mission. Our team is working on cross-platform applications (Android, iOS and Windows) that extend functionalities of the newest Motorola body-worn cameras and in-car video systems with features like categorization, tagging and review of the footage that allows users to perform evidentiary tasks on the go. By contributing to and complementing our Digital Evidence Management Systems (DEMS), it enables our customers, ranging from law enforcement agencies through government agencies to retailers, to have a resilient evidentiary platform that enables transparency and accountability. Your responsibilities will include design, development, testing, maintenance and improvements of the software running on both mobiles (Android and iOS) and desktop PCs (Windows). Key Responsibilities: Full-cycle software development, encompassing coding, unit, and integration testing, as well as code reviews. Participation in the analysis of new feature requirements and design proposals. Collaboration with cross-functional teams, including QA and UI/UX. Continuous improvement of the development and testing environment. Support in defect analysis and troubleshooting customer-reported issues. Key Technologies Used: Dart/Flutter: Primary language and framework for the application and tests. Kotlin (with some Java) & Swift: Used for the mobile application's native components . .net/C#: Powers a component in the desktop/Windows application variant. Development Environment & Tools: GitHub: Utilized for code repositories, CI/CD, and code reviews. AI Tools: We leverage tools like Cursor and Copilot. Equipment: Development is done on Macbooks, involving daily work with various cameras and prototype hardware. Basic Requirements Bachelor’s degree in Engineering, Computer Science or a related technical discipline, or equivalent experience. At least 3+ years of documented mobile apps programming experience Experience and proficiency in at least one of Swift/Java/Kotlin/Dart languages Experience and practical knowledge of cross-platform frameworks - ideally Flutter - and willingness to continue that journey Solid, practical knowledge of design patterns, data structures, algorithms and software design Knowledge of software engineering best practices including build environments, automated testing and CI/CD Practical experience with Unix-based CLI/shell tools Good knowledge of git tooling Knowledge of software testing methodologies and the testing life cycle English language skills at level allowing efficient communication Bonus points for: ​ Knowledge of C#/.net/JavaScript Expert skills in one the native stacks (Android/iOS/Windows) Understanding HTTP and RESTful designs (familiarity with OpenAPI is an extra plus) Knowledge of digital imaging/photography and audio/video coding Familiarity with basic networking concepts (TCP/IP, DHCP etc.) Experience with WiFi and Bluetooth protocols Knowledge of SSL/TLS protocols, certificates, mutual authentication etc. Knowledge of Gradle build tooling Experience automating manual build and delivery pipelines Prior experience automating end-to-end integration testing for mobile applications Experience with cloud platforms such as AWS, GCP and Azure

🏢 Summary: Full-time Backend Software Engineer role focused on developing and enhancing a Java-based evidence management system. The position involves implementing new backend features and improving performance, scalability, and modularity within an Agile environment. The role includes full software development lifecycle responsibilities and collaboration with distributed teams. 🗂️ Requirements: 2+ years backend software development experience, Proficiency in Java, Strong understanding of object-oriented programming, Knowledge of design patterns, Understanding of core software engineering principles, Experience with automated testing, Experience with JUnit, Experience with relational databases, Knowledge of PostgreSQL, Experience with ORM frameworks, Knowledge of Hibernate or JPA, Experience with testing and debugging, Experience working in Agile environment 📃 Skills: Java, JAX-RS, Spring, JUnit, PostgreSQL, Hibernate, JPA, SQL, Agile, Scrum, Microservices, OOP 🏢 Description: The Evidence and Devices Engineering team is responsible for Motorola Solutions’ body cameras, vehicle cameras and evidence management software leveraged in public safety and enterprise applications worldwide. We are a thriving and growing company in search of a Software Engineer to join our evidence management team in the vibrant city of Krakow, Poland. This full-time position offers the opportunity to play a significant role in the development and growth of our software engineering projects. We are seeking a talented and proactive individual who can contribute to our team’s success and foster a spirit of collaboration within the company. You will join a high-performing team of developers and will be primarily working on the backend, taking responsibility for implementing a range of new application features, as well as improving the performance, scalability, and modularity of the existing product. Responsibilities Execute the full software development lifecycle and provide support for each assigned project, adhering to company standards and expectations. Apply software development practices to produce clean, modular, scalable, and testable code for the Java backend. Apply testing and debugging methods to resolve complex software issues. Work collaboratively with local and distributed teams in an Agile environment to enhance the product. Required skills and qualifications 2+ years of hands-on backend software development (we use Java). Solid understanding of object oriented programming, design patterns, and core software engineering principles. Experience creating meaningful automated tests (we use JUnit). Knowledge of testing and debugging software issues. Experience working with relational databases (we use Postgres). Knowledge of ORM technologies such as Hibernate/JPA. Strong communication and collaboration skills. Preferred skills and qualifications Bachelor/Masters degree in Computer Science, Engineering or a related subject. Experience working with Java, JAX-RS, Spring or similar technologies. Experience with microservices architecture. Previous working experience in an Agile environment (Scrum). In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way.  Also, to reward your work, you’ll get the following: Private medical coverage, Multisport Life insurance (two annual incomes), Employee Stock Purchase Plan – 15% discount for buying Motorola’s Stock units, Employee Pension Plan – 3,5 % of the month’s gross salary, which goes to the retirement account IP Tax Relief (up to 80%) Yearly salary increase (depends on individual performance) Annual bonus (depends on company performance) Flexible working hours (usually the day starts between 7-10), 8 hours working day (30 minutes lunch break included). Hybrid work

🏢 Summary: Full-time Backend Software Engineer role focused on developing and enhancing a Java-based evidence management system. The position involves implementing new backend features and improving performance, scalability, and modularity within an Agile environment. The engineer will contribute across the full software development lifecycle, ensuring high-quality, testable code. 🗂️ Requirements: 3+ years of backend development experience with Java, Strong knowledge of object-oriented programming, Understanding of design patterns, Knowledge of core software engineering principles, Experience writing automated tests using JUnit, Experience testing and debugging software issues, Experience with relational databases, Knowledge of ORM frameworks such as Hibernate or JPA 📃 Skills: Java, JUnit, PostgreSQL, Hibernate, JPA, SQL, OOP, Agile, Debugging, Testing 🏢 Description: The Evidence and Devices Engineering team is responsible for Motorola Solutions’ body cameras, vehicle cameras and evidence management software leveraged in public safety and enterprise applications worldwide.We are a thriving and growing company in search of a Software Engineer to join our evidence management team in the vibrant city of Krakow, Poland. This full-time position offers the opportunity to play a significant role in the development and growth of our software engineering projects. We are seeking a talented and proactive individual who can contribute to our team’s success and foster a spirit of collaboration within the company. You will join a high-performing team of developers and will be primarily working on the backend, taking responsibility for implementing a range of new application features, as well as improving the performance, scalability, and modularity of the existing product. Responsibilities Execute the full software development lifecycle and provide support for each assigned project, adhering to company standards and expectations. Apply software development practices to produce clean, modular, scalable, and testable code for the Java backend. Apply testing and debugging methods to resolve complex software issues. Work collaboratively with local and distributed teams in an Agile environment to enhance the product. Required skills and qualifications 3+ years of hands-on backend software development (we use Java). Solid understanding of object-oriented programming, design patterns, and core software engineering principles. Experience creating meaningful automated tests (we use JUnit). Knowledge of testing and debugging software issues. Experience working with relational databases (we use Postgres). Knowledge of ORM technologies such as Hibernate/JPA. Strong communication and collaboration skills. Preferred skills and qualifications Bachelor/Masters degree in Computer Science, Engineering or a related subject. Experience working with Java, JAX-RS, Spring or similar technologies. Experience with microservices architecture. Previous working experience in an Agile environment (Scrum).

🏢 Summary: Frontend Developer role focused on building and maintaining responsive web applications for evidence management systems using Angular and related technologies. The position involves enhancing existing applications, implementing testing strategies, and collaborating with cross-functional teams to deliver reliable, user-friendly solutions. 🗂️ Requirements: 3+ years frontend development experience, Strong Angular experience, Proficiency in HTML5, Proficiency in CSS3, Proficiency in JavaScript, Proficiency in TypeScript, Experience with REST APIs, Experience with asynchronous programming, Familiarity with Git, Ability to debug complex issues 📃 Skills: Angular, Marionette.js, HTML5, CSS3, JavaScript, TypeScript, REST, Git, Jasmine, Karma, Cypress, Webpack, Gulp, Jenkins, WCAG, XSS, CSRF 🏢 Description: The Evidence and Devices Engineering team is responsible for Motorola Solutions’ body cameras, vehicle cameras and evidence management software leveraged in public safety and enterprise applications worldwide. Job Description You will be responsible for: Develop and maintain responsive and user-friendly web applications using Angular framework. Manage the upkeep of existing web applications employing Marionette.js guaranteeing their continued utility and effectiveness. Collaborate with cross-functional teams to gather and understand requirements, subsequently translating them into effective technical solutions. Writing and conducting unit tests, integration tests, and end-to-end tests to identify, fix bugs and ensure the reliability of the front-end code. Participate in code reviews and provide constructive feedback to peers. Stay up-to-date with the latest front-end development trends and technologies. Basic Requirements 3+ years of professional frontend development experience, with a strong focus on Angular. Proficiency in HTML5, CSS3, and JavaScript/TypeScript. Experience with RESTful APIs and asynchronous programming. Familiarity with UI/UX principles and the ability to work closely with designers to translate designs into realization. Familiarity with version control systems, preferably Git. Strong problem-solving skills and the ability to debug complex issues. Excellent communication and teamwork skills. Strong English communication skills. Nice to Have: Experience with testing frameworks Jasmine, Karma, and Cypress. Familiarity with build tools and continuous integration (Webpack, Gulp, Jenkins, etc.). Understanding of security best practices to prevent common vulnerabilities such as cross-site scripting (XSS) and cross-site request forgery (CSRF). Awareness of accessibility standards (WCAG) to ensure that web applications are usable and navigable by individuals with disabilities. ​ In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way. Also, to reward your work, you’ll get the following: Contract of Employment (UoP) Private medical coverage, Multisport Life insurance (two annual incomes), Employee Stock Purchase Plan – 15% discount for buying Motorola’s Stock units, Employee Pension Plan – 3,5 % of the month’s salary gross, which goes to the retirement account IP Tax Relief (up to 80%) Yearly salary increase (depends on individual performance) Yearly bonus (depends on company performance) Flexible working hours (usually the day starts between 7-10), 8 hours working day (30 minutes lunch break included). Hybrid work mode

🏢 Summary: Full-stack Engineer role focused on building and maintaining business-critical demo environments and applications used globally to showcase and support the platform. The position involves working across a diverse, multi-cloud stack to design, deploy, and operate scalable infrastructure and software. You will collaborate cross-functionally to deliver reliable, high-quality demo solutions and ensure operational excellence. 🗂️ Requirements: 3+ years full-stack software engineering experience, Experience with at least one programming language, Experience with a web application framework, Experience with a database technology, 2+ years with containerization and deployment tools, 2+ years in cloud-native or multi-cloud environments, Experience with Git-based source control, Experience writing automated tests, Experience with CI automation, Ability to use AI coding tools in daily workflows and validate outputs 📃 Skills: Kubernetes, Docker, Helm, GitLab, CI/CD, AWS, GCP, Azure, Git, Databases, APM, AI 🏢 Description: Demo Engineering is a full-stack software engineering and operations team. Our work helps to articulate the Datadog vision and product value to our largest prospects, customers, and conference attendees hundreds of times every week. We build and own internal systems and tools that enable various teams to create transformative product demos, quickly and easily. We make the experience of creating Datadog demos simpler, more pleasant, and more productive. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. As a Full-stack Engineer on the Demo Engineering team, you will be responsible for building and maintaining business critical demo environments and applications that Pre and Post Sales Engineering, Product Management, Marketing, Events, and Support use on a daily basis around the globe. This is a rare opportunity to work across a uniquely diverse technology stack, including all three major cloud providers and all languages supported by our APM product. What You’ll Do: Design, develop, deploy, monitor, maintain, and own business critical infrastructure and software to power the Datadog demo environment, empowering hundreds of individuals to deliver demos daily Work cross-functionally with subject matter experts in engineering teams such as data science, security, tracing, etc. to ensure that upcoming Datadog features are demo-ready and collaborate closely with product management and sales engineers to build demo solutions for all aspects of the Datadog platform Consistently ships high quality code and architecture Become a Datadog expert, understanding the platform in detail, to best deliver demo related solutions, support other Datadog employees using those solutions, and using Datadog to monitor the health of those solutions Help keep our demo solutions reliable, available, and fast by responding to on-call alerts, investigating issues, performing necessary operations, and delivering fixes Support our internal customers by helping answer questions about the demo environment, troubleshooting, tracking feature requests and bugs, escalating issues, and reporting or calling incidents when necessary Who You Are: 3+ years of experience in full-stack software engineering with experience in at least one programming language, web application framework, and database technology. 2+ years of experience with containerization and deployment tools such as Kubernetes/Docker, Helm, and Gitlab CI/CD 2+ years of experience in a cloud-native or multi-cloud environment (we use AWS, GCP and Azure) A practitioner of repeatable development processes to deliver high quality software, using Git for source control, writing tests to catch regressions, and using CI for automation. A communicative problem solver, proactively getting feedback on designs before committing to a solution. You want to work in a fast, high growth environment and you value a pragmatic approach, code simplicity and efficiency Requirement - Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output. Bonus/Plus - You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products. Datadog values people from all walks of life. We understand that not everyone will meet these requirements on day one. If you’re passionate about technology and want to grow these skills but don’t meet all of these qualifications, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our Internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$117,600—$147,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Role for an SDET focused on building test quality from scratch using Playwright and modern AI tools. The position centers on designing advanced integration, contract, and performance tests, and embedding automation into CI/CD pipelines. You will collaborate closely with developers from the discovery phase to ensure fast, stable feedback and high product quality. 🗂️ Requirements: Minimum 3 years of web test automation experience, Proficiency in Playwright, Strong TypeScript or JavaScript skills, Experience with API testing and backend service automation, Knowledge of CI/CD pipelines, Experience with GitHub Actions or similar tools, Familiarity with Charles Proxy or Proxyman 📃 Skills: Playwright, TypeScript, JavaScript, API, CICD, GitHubActions, Charles, Proxyman, Cursor, Claude, Copilot 🏢 Description: O roli : Szukamy osoby, który dołączy do zespołu, aby budować jakość “od środka”. Nie szukamy testera manualnego, lecz inżyniera (SDET), który swobodnie porusza się w Playwright i potrafi projektować zaawansowane testy integracyjne, kontraktowe oraz wydajnościowe. Staniesz się partnerem dla deweloperów, a Twoim głównym celem będzie stworzenie stabilnego i szybkiego feedbacku przy użyciu najnowocześniejszych narzędzi. Wierzymy, że wysoka jakość to wspólna odpowiedzialność, dlatego Twój wpływ na produkt zaczyna się już na etapie projektowania rozwiązań. Twoje kluczowe zadania: Budowa od zera i rozwój frameworków: Projektowanie od podstaw oraz rozwijanie zaawansowanych rozwiązań do automatyzacji testów w oparciu o Playwright . Wykorzystanie potencjału AI: Efektywne stosowanie narzędzi takich jak Cursor czy Claude Code w codziennej pracy, aby podnosić jakość kodu i przyspieszać proces tworzenia testów. Decyzyjność i automatyzacja procesów: Samodzielny wybór podejścia do automatyzacji oraz dbanie o to, by testy stanowiły integralny element procesów CI/CD . Wsparcie fazy projektowej: Aktywna współpraca z zespołem produktowym podczas fazy Discovery i pomoc w definiowaniu kryteriów akceptacji. Nasze wymagania: Minimum 3 lata doświadczenia w automatyzacji testów webowych. Biegłość w Playwright (TypeScript/JavaScript). Znajomość narzędzi diagnostycznych: Charles Proxy lub Proxyman. Doświadczenie z API: Umiejętność testowania i automatyzacji usług backendowych. Praktyczna wiedza o CI/CD: Doświadczenie z GitHub Actions lub podobnymi narzędziami. Mindset: Rozumienie, że Twoim celem jest stabilność produktu, a nie liczba napisanych testów. Praca z nami to: Najnowocześniejszy stack AI: Nie tylko pozwalamy na używanie AI, ale w pełni je finansujemy . Zapewniamy płatny dostęp do narzędzi Claude Code, Cursor oraz GitHub Copilot . Projekty bez długu technicznego: Budujemy nowe usługi i moduły od podstaw, co pozwala na wdrożenie nowoczesnych strategii testów oraz ich architektury. Kultura Engineering Excellence: Kładziemy ogromny nacisk na bezpieczeństwo naszych rozwiązań. Regularnie szkolimy się u najlepszych ekspertów w branży, takich jak Niebezpiecznik czy Sekurak . Realny wpływ: Jesteś częścią zespołu produktowego, a Twoje zdanie techniczne kształtuje sposób, w jaki dostarczamy kod. Benefity: Nowoczesny sprzęt: MacBook Pro lub Air, dodatkowy monitor oraz telefony testowe ( Android i iOS ). Wsparcie AI: Pełne finansowanie narzędzi automatyzujących pracę ( Claude Code, Cursor, Windsurf, GitHub Copilot ). Ergonomiczne stanowisko: Elektrycznie regulowane biurko oraz wygodne krzesło. Prywatna opieka i ubezpieczenie: Pakiet medyczny oraz NNW dla Ciebie, Twojej rodziny lub partnera. Sport i rekreacja: Karta MultiSport dla Ciebie i bliskiej osoby. Pełne wyżywienie: Codzienne obiady na koszt firmy , świeże owoce oraz doskonała kawa. Rozwój merytoryczny: Indywidualny budżet szkoleniowy, opieka mentora oraz techniczna biblioteczka. Kultura i integracja: Jasne rozmowy o wynikach, wyjazdy integracyjne i cykliczne spotkania zespołu. Komfortowe biuro: Klimatyzowana przestrzeń w Centrum Krakowa (10 min od Dworca Głównego) z parkingiem rowerowym i prysznicami. Wsparcie relokacyjne: Pomoc finansowa przy przeprowadzce do Krakowa. Elastyczność: Wybór między B2B a Umową o pracę , model hybrydowy oraz start pracy między 7:00 a 10:00 . Tańsza księgowość: Zniżka na usługi inFakt.pl w wysokości 300 zł netto miesięcznie . Aplikuj i twórz z nami jakość aplikacji nr 1 na polskim rynku!

🏢 Summary: Senior Data Scientist role focused on developing and validating evaluation frameworks, metrics, and statistical methodologies for autonomous vehicle performance and safety readiness. The position involves analyzing large-scale simulation and on-road data, improving testing coverage, and applying ML and statistical techniques to strengthen evaluation systems for driverless robotaxis. The role collaborates closely with engineering, safety, and simulation teams to support launch readiness and scalable autonomous system validation. 🗂️ Requirements: 5+ years of industry experience working with large datasets, Bachelor’s degree in Computer Science, Data Science, Robotics, Mathematics, Physics, Computer Engineering, or related quantitative field, Strong Python skills, Strong SQL skills, Experience with data analysis libraries, Experience applying statistical and machine learning methods, Experience with statistical analysis and hypothesis testing, Experience with causal analysis, Ability to independently drive projects from definition to results, Strong communication skills for technical findings presentation 📃 Skills: Python, SQL, AWS, Transformers, MachineLearning, DeepLearning, Statistics, Simulation, SOTIF, ISO21448, ISO26262, MLOps 🏢 Description: Mission Summary The Systems Readiness and Performance team is responsible for driving system design, verifying and validating the autonomy stack, and defining, measuring, and validating system performance targets for fully driverless IONIQ 5 robotaxis in Las Vegas. Rigorous behavioral and system performance evaluation is critical to scaling the service and achieving long-term goals. The team is seeking a Senior Data Scientist to lead initiatives that improve evaluation and testing methodologies, measure the quality and trustworthiness of the evaluation portfolio, and partner with engineering teams to monitor and strengthen the health of the evaluation ecosystem. In this role, you will lead development of evaluation methodologies and metrics that assess the quality and business relevance of solutions spanning on-road and off-board data. You will influence evaluation signals used to validate autonomy stack improvements, conduct deep-dive analyses to understand bottlenecks in current methodologies, and prototype improvements in metrics, sampling strategy, and statistical inference. What You'll Be Doing: - Lead the development of evaluation frameworks for the autonomous system using rigorous, data-driven approaches. - Collaborate with Functional Safety and Systems Engineering teams to align evaluation metrics with automotive safety standards such as SOTIF and ISO 21448. - Ensure evaluation metrics are reliable enough to support safety cases and launch readiness decisions. - Monitor evaluation metrics and incoming performance data for drift, inconsistencies, and degradation. - Drive performance analysis using statistical methods for simulation and on-road data. - Develop statistical analysis methods for AV performance data. - Partner with triage operators and simulation engineers to convert disengagements and edge cases into simulation scenarios. - Use fleet and evaluation data to identify edge cases and coverage gaps. - Build confidence in the evaluation framework through data-driven insights and communication with stakeholders. - Establish correlation between on-road and simulation data. - Analyze large datasets to solve ambiguous performance questions. - Establish self-service tooling for developers to evaluate the impact of changes. - Develop metrics, interpret trends, and investigate anomalies in simulation and on-road data. - Collaborate with developers to drive actions based on evaluation results. - Promote data-aware decision making and best practices. - Mentor engineers and foster collaboration. - Introduce ML methods for scalable performance evaluation. What You Bring: - 5+ years of industry experience solving complex problems with large datasets. - Bachelor’s or higher degree in a quantitative field; Master’s or PhD preferred. - Strong problem-solving skills. - Strong Python and SQL skills. - Experience using data analysis libraries with large datasets. - Experience applying advanced statistical and ML methods. - Experience with statistical analysis, hypothesis testing, causal analysis, and data analysis. - Ability to work independently and drive projects to actionable results. - Strong communication and interpersonal skills. - Willingness to learn and teach new statistical and ML techniques. Bonus Points: - Experience with adversarial scenario generation and closed-loop simulation environments. - Experience in autonomous driving or robotics. - Familiarity with data pipelines and distributed compute such as AWS. - Expertise in Machine Learning and Deep Learning. - Expertise in sequence modeling and probabilistic ML. - Familiarity with automotive safety standards such as ISO 26262 or ISO 21448. Benefits: - Hybrid schedule with optional fully remote work. - Medical, dental, and vision coverage. - 401k with company match. - Health savings accounts. - Life insurance. - Pet insurance. - Bonus and equity opportunities may apply. - Salary range: $149,000—$198,500 USD.

🏢 Summary: Software Development Engineer in Test (SDET) role focused on building and maintaining automated testing frameworks, enhancing CI/CD pipelines, and improving software quality in an Agile environment. The position involves API, UI, and performance testing, as well as implementing AI-assisted testing strategies and quality engineering workflows. Candidates should have strong automation, scripting, and testing experience with modern development and deployment tools. 🗂️ Requirements: 7+ years of Software Quality Assurance experience, Experience in Agile SDLC environments, Experience with Jira, Bitbucket, and Jenkins, Knowledge of Git and GitHub workflows, Experience with GitHub Actions for CI/CD automation, Experience with Selenium WebDriver, Python, Pytest, Experience with API testing tools, SQL experience, Experience with Docker and Gradle, Familiarity with AI-assisted testing tools, BS degree in Finance, Computer Science, or equivalent experience, Authorization to work without visa sponsorship 📃 Skills: Selenium, Python, Pytest, Jira, Bitbucket, Jenkins, Git, GitHub, GitHubActions, Postman, JMeter, Locust, SQL, MSSQL, Postgres, Docker, Gradle, Groovy, Ruby, SonarQube, InfluxDB, Grafana, Spring, FIX, Reuters, Morningstar, Bloomberg, Claude, AI, ML 🏢 Description: The Software Development Engineer in Test (SDET) will review functional requirements, user stories and test assets from internal stakeholders; build automated test cases, contribute to our test pipelines, and support the maintenance of the test assets as we deliver our releases to our growing client base. Responsibilities * Apply expertise in specific product areas to ensure that the product suite meets documented acceptance criteria and client quality expectations * Contribute to the expansion of our automated testing capabilities and coverage * Explore and implement AI-assisted testing strategies to enable, enhance, and augment QE team workflows and processes through skill development and agentic workflows * Evaluate and champion AI/ML tooling (e.g. test generation, defect prediction, intelligent test selection) to improve team velocity and quality coverage * Instill QA best practices on your scrum team by collaborating on test coverage * Ability to write tests from abstract requirements * Provide feedback on product performance and user experience * Participate in all aspects of the Agile SDLC; providing constructive feedback during grooming, retrospectives, and planning sessions * Configure and verify continuous build plans in Jenkins and SonarQube to ensure quality of code changes * Contribute to the review of product documentation/release notes Skills & Requirements * 7+ years of Software Quality Assurance experience, ideally with a focus in Financial Technology or related domain * Experience working in a successful Agile environment using Agile SDLC tools such as Jira, Bitbucket, and Jenkins * Foundational understanding of Git and GitHub, including pull requests, branching strategies, and code review workflows * Experience with GitHub Actions for CI/CD pipeline automation and test workflow orchestration * Coded UI Automation experience with Selenium WebDriver; Python and Pytest required * Working knowledge of a scripting language; Groovy and Ruby on Rails a plus * Experience with web service and API testing (Postman or equivalent) * Performance testing experience; JMeter or Locust.io a plus * SQL experience (MSSQL, Postgres) * Experience with containerized environments and deployment tooling (Docker, Gradle) * Familiarity with AI-assisted development and testing tools (e.g. Claude Code, AI-driven test generation, or LLM-based QA tooling) * Demonstrated ability to operate on a small team in a fast-paced environment with the ability to change directions as priorities shift * Positive attitude with a strong desire to learn, grow professionally, and have a positive impact on the company, its culture, and its products Desired Skills * Familiarity with code quality and static analysis tools such as SonarQube * Experience with monitoring and observability tooling, including APM, log collection/analysis, InfluxDB, and Grafana * Understanding of the deployment and maintenance of an N-Tier application in either manual or automated fashion * Familiarity with testing in Spring frameworks * Integration testing: inbound file processing, outbound file creation, API testing, configuration testing * Experience with Financial technologies such as FIX, IDC, Reuters, Morningstar, or Bloomberg * Ability to troubleshoot, diagnose, resolve, and explain system-level issues affecting the application * Ability to work across teams and disciplines to find equitable solutions to problems that arise * Experience applying AI/ML techniques to quality engineering challenges such as flaky test detection, risk-based test prioritization, or automated root cause analysis Education BS degree in Finance, Computer Science, or equivalent work experience. MSCS is a plus. Vestmark is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Vestmark prohibits employment discrimination on the basis of race, color, religion, gender identity, sex, sexual orientation, pregnancy, national origin, age, disability status, protected military or veteran status, and genetic information. Please note, we are unable to sponsor an employment Visa for this role. #LI-TG1 #LI-Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Vestmark takes a market-based approach to compensation to ensure we pay fairly and competitively. Compensation for this role depends on several factors such as skills, experience, qualifications, job scope and location. In addition to base salary, Vestmark offers a comprehensive total rewards package, which includes equity-based grants for all new hires, company-paid medical premiums of 90%, a competitive time-off program, and other variable compensation, if eligible. Salary range$95,000—$120,000 USD

🏢 Summary: The offer is for a Virtualization Expert responsible for designing, operating, optimizing, and automating enterprise virtualization platforms based on VMware and Dell Technologies. The role focuses on ensuring high availability, performance, and scalability of infrastructure while supporting modernization initiatives. It includes expert-level operational support and collaboration across infrastructure teams. 🗂️ Requirements: Minimum 6 years hands-on experience with VMware vSphere, Expert knowledge of vCenter and ESXi administration, Experience designing and managing enterprise virtualization platforms, Advanced hardware management knowledge, Experience integrating virtualization with storage, networking, and security, Scripting skills for automation (PowerShell, Bash, or Python), Ability to deploy, configure, and maintain VMware infrastructure, Professional working proficiency in English 📃 Skills: VMware, vSphere, vCenter, ESXi, Dell, PowerShell, Bash, Python, Virtualization, Hardware 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role We are looking for a Virtualization Expert to design, operate, optimize and automate enterprise virtualization platforms based on VMware and Dell Technologies solutions. This role is critical to ensuring the stability, performance and scalability of our infrastructure, while supporting modernization initiatives and providing expert-level operational support.You will act as a technical authority for virtualization and compute platforms, collaborating closely with infrastructure, storage, networking, and security teams. Your tasks Day-to-day management of VMware and DELL-based virtualization infrastructure – monitor system performance and troubleshoot issues, ensuring high availability and optimal performance. Deployment, configuration, and maintenance of VMware vSphere infrastructure, including ESXi hosts, vCenter Server, and firmware. Collaborate with senior engineers to design and implement virtualization solutions that meet the organization's requirements. Mentor engineers and provide technical guidance across teams Work with cross-functional teams to integrate VMware solutions with other infrastructure components and technologies. There's a lot of space to grow in Capgemini. We have rules and guidelines to follow, of course. We have a set of things we must do, of course. Yet – you can bring your own ideas here! Got a better way to handle something? Sure, if it works. Want to work on something special? Perfect, show us what your thing is! Want to just focus on work and learn things that are new to you? Sure, that's the most important part – remember still, we got your back when you want to shine! Your profile Working and design experience with VMware vSphere management (vCenter, ESXi hosts, Virtual Machines) on expert level (six years of hand-on experience) – you should know what it is, how it works, how to keep it working and how to automate it. Advanced experience with hardware management – virtualization relies upon physical equipment, after all. Willingness to learn & proactive approach – find solutions on your own (learn), listens carefully to client’s needs (listen) and keep the systems running (proactive approach). Scripting skills to help automate repetitive actions (e.g. PowerShell, Bash or Python) Working knowledge of English – you'll be using it every day to communicate and advise, you must be able to do that without problems! What You'll love about working here Well-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.