Location: United States, Remote
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Do you want to help bring PlayStation technology to a worldwide audience? Are you passionate about securing infrastructure that constantly pushes the boundary of the gaming industry? Are you ready to work with innovative technology, forward-thinking engineers, and a passionate security team? If so, join us!
The role is a senior-level application security position combining strong technical expertise with leadership, initiative, and collaboration. You will provide strategic mentorship and hands-on support in designing, implementing, and testing secure solutions that strengthen PlayStation products and services.
As a technical leader within Product Security, you’ll guide practices and influence multiple teams to embed security throughout the software development lifecycle.
Key Responsibilities
Lead security initiatives across the SDLC and improve development practices through scalable automation.
Conduct and guide threat modeling and security requirements early in design phases.
Partner with developers, architects, and product managers to align business goals with security needs.
Lead security architecture and code reviews for distributed systems.
Perform hands-on testing to identify risks and drive remediation with vulnerability and incident response teams.
Advance the Product Security strategy through multi-functional initiatives and cultural influence.
Balance business and security risks through technically grounded, pragmatic recommendations.
Translate lessons learned into reusable organizational assets that enhance overall security posture.
Mentor engineers and practitioners, promoting secure-by-default thinking and shared accountability.
Demonstrate proactive leadership, coordinating teams to deliver measurable security and business impact.
Qualifications
7+ years in information security and 3+ years in software development.
Bachelor’s degree or equivalent in Computer Science, Information Security, or related field.
Effective communication and leadership abilities; capable of influencing technical and non-technical collaborators including management.
Dedicated and proactive, finding opportunities and leading initiatives independently.
Deep understanding of enterprise and cloud-native architectures and their secure design.
Expertise in network and web protocols (TCP/IP, TLS, HTTPS, OAuth 2.0, OpenID Connect) and common attack vectors.
Proven expertise in guiding security development and code evaluations and providing actionable, risk-based recommendations.
Skilled in multiple programming languages (e.g., Java, C/C++, JavaScript, Python) and mitigating vulnerabilities such as OWASP Top 10.
Experience integrating SAST, DAST, and dependency scanning into CI/CD pipelines.
Familiar with Agile, DevOps, and modern delivery practices.
Hands-on experience with cloud technologies (AWS, Azure, GCP, Kubernetes, service mesh, CDN) including secure configuration and identity management.
Desired Experience
Strong analytical and problem-solving skills with an attacker perspective — able to anticipate and simulate real-world attacks.
Experience in penetration testing, automated testing, or testing frameworks (JUnit, pytest, REST Assured, Playwright).
Security certifications preferred (GIAC, OSCP, CEH, CISSP, CCSP, or equivalent).
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click
here
to learn more.
This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below.
$177,300
—
$265,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Задачи:
— Автоматизация тест-кейсов
— Сопровождение и поддержка существующих автотестов в актуальном состоянии
— Запуск автотестов и анализ отчетов
— Модернизация и оптимизация фреймворка автоматизации тестирования
— Работа с документацией (Confluence, Swagger, ТестОпс)
Требования:
— Коммерческий опыт автоматизации тестирования веб-приложений (SOAP, REST) на языке Python от 1 года
— Знание теории и методик тестирования ПО
— Знание и применение ООП и основных паттернов проектирования в автоматизации тестирования
— Знание HTTP, REST, SOAP и клиент-серверной архитектуры, микросервисной архитектуры
— Знание SQL (на уровне join)
— Опыт разработки автотестов (pytest + requests + allure)
— Опыт работы с Git
— Опыт использования CI/CD GitLab
— Опыт работы с брокерами сообщений Kafka, ActiveMQ
— Опыт работы с системами логирования Kibana, Grafana
— Опыт работы Docker, K8s (будет плюсом)
— Работа с 1C (будет плюсом)
Условия:
— Официальное трудоустройство в аккредитованную IT-компанию
— ДМС
— Удаленный формат работы (предоставляем технику, если нужно)
— Возможности обучения и развития за счет компании
— Можно работать из офиса в СПб с современным дизайном и лучшими видами на Финский залив, зонами отдыха с выходом на крыше
УдалённоmiddleГеография найма не уточнена, офис: Санкт-Петербург
Location: Warsaw, Poland
On behalf of
FinTech Client #
9, SD Solutions is looking for a
talented
QA
Engineer (Manual & Automation)
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Test new features by hand, deeply: exploratory testing of long, multi-role flows (pricing, eligibility, documents)
Build and own automation: Playwright + TypeScript E2E and API tests, running in CI
Keep the suite trustworthy: hunt down flaky tests, maintain selectors and test data, keep regression fast
Own the release: run the QA board, test plans and regression, and give the go/no-go before every deploy
Investigate production issues: use Sentry, Datadog, and PostHog to find the error, the logs, and the user session, reproduce it, and hand developers a ticket they can fix right away
Requirements:
3–5 years in QA, with real, recent experience in both manual and automated testing
Hands-on test automation with Playwright in TypeScript or JavaScript
Comfortable with Git and CI (GitHub Actions or similar)
API testing experience (Postman, pytest or similar) and solid SQL to verify data directly in the database
A sharp eye for business-logic edge cases: states, roles, calculations, and flows that break halfway
Understanding of how a financial company works: money flows, compliance, and why one wrong number matters
Clear test plans, test cases and bug reports that a developer can act on without a follow-up question
Daily use of AI tools in QA work (Claude Code, Cursor, Copilot or similar) to write tests, generate data and find gaps
Detail-obsessed, and knows which details matter to the business
Confident saying “not ready,” and explaining why calmly, with evidence
Strong team player who works with developers, not against them
Proven remote work: has tested and shipped for years from a home office, communicates in writing by default, and does not need someone nearby to stay unblocked
Excellent English, written and live
Organized, independent, and quick to learn a complex domain
Advantages:
US mortgage industry experience
Built QA from scratch: planned how to cover a platform (test strategy, flows, regression scope) and ran it in Jira and Confluence
Performance testing (k6)
Security testing basics
Python
About the company:
A direct marketplace for whole-loan mortgage transactions, providing lenders and investors with smarter pricing, automated eligibility assessment, and end-to-end transaction management — built to modernize an industry still heavily reliant on manual processes. The R&D team is based in Israel and works closely with colleagues in the US. This is a fully remote, long-term B2B contractor role paid in EUR, with real ownership of QA processes, tools, and standards.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
- Покрывать критические процессы: запуск задач, авторизацию, публикацию, получение результатов, повторные попытки и обработку ошибок. - Выстраивать автоматизированные smoke- и regression-проверки после изменений в коде.
-Разрабатывать и поддерживать новые возможности платформы с учётом высоких нагрузок и безопасности данных. -Создавать чат-боты и SmartApps, интегрируя их с системами заказчиков.
-Проектирование и реализация новых API, а также модификация и улучшение уже существующих. -Создание web интерфейсов с нуля, а также модификации и улучшения существующих.
Location: Canada, Waterloo, ON
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Sr. Software Development Engineer In Test, ML/AI
At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences.
We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference!
Overview
We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects.
What you’ll do
Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components.
Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows.
Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios.
Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness.
Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java.
Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation.
Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution.
Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems.
Improve automation reliability, reduce flakiness, and optimize execution efficiency.
Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows.
Collaborate across teams to establish scalable quality standards, tooling, and guidelines.
Required qualifications
Bachelor’s degree in Computer Science or equivalent
5+ years of experience as an SDET or QE engineer focused on backend and distributed systems.
Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences.
Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows.
Strong experience testing RESTful APIs, microservices, and distributed architectures.
Proficiency in Python, Java, JS or similar languages for automation development.
Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium.
Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.).
Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker).
Familiarity with databases, monitoring, and observability tools.
Strong understanding of SDLC, Agile methodologies, and release processes.
Excellent problem-solving, debugging, and communication skills.
Preferred qualifications
Experience validating ML outputs using statistical analysis or scenario-based testing approaches.
Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.).
Prior work in content moderation ML, security, fraud detection, or adversarial ML.
Experience testing high-scale, low-latency online services.
Experience with Databricks or similar ML platform tooling.
Familiarity with Node.js, React, or modern frontend technologies.
Experience testing mobile, console, or other non-PC platforms.
What sets you apart
Strong combination of automation engineering and delivery ownership.
Ability to drive quality across complex cross-functional initiatives.
Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions.
Proven risk management and dependency coordination skills.
Ability to influence engineering teams and promote quality guidelines.
Passion for scalable, reliable, and maintainable automation systems.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$114,900
—
$172,300 CAD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Москва
Мы в поиске опытного AI разработчика для участия в проектировании и реализации единой корпоративной агентной платформы.
Платформа должна предоставлять пользователю единую точку взаимодействия с различными информационными системами и бизнес-процессами. Главный агент должен понимать намерение пользователя, использовать контекст диалога, планировать выполнение задачи, привлекать специализированных агентов и инструменты, объединять результаты и при необходимости запрашивать подтверждение пользователя.
Обязанности
**Будущему коллеге предстоит не только заниматься LLM, но и построить полноценную программную платформу вокруг них:**
• главный агент-оркестратор;
• специализированные агенты;
• реестр инструментов;
• управление контекстом и состоянием;
• межагентное взаимодействие;
• интеграция с корпоративными системами;
• безопасность;
• наблюдаемость;
• тестирование качества;
• отказоустойчивость.
Роль предполагает hands-on участие.
Требования
**Опыт :**
• От 3 лет коммерческой backend-разработки.
• Опыт технического проектирования распределённых систем.
• Практический опыт работы с LLM и агентными системами.
• Желателен хотя бы один агентный или LLM-продукт, доведённый до пилотной либо промышленной эксплуатации.
• Опыт технического лидерства или владения архитектурой крупного модуля.
• Умение работать в условиях неполных требований и постепенно формировать целевую архитектуру.
• Способность общаться как с разработчиками, так и с владельцами бизнес-процессов.
**Проектирование:**
• Практический опыт разработки LLM-агентов и agentic workflows.
• Понимание различий между агентом, инструментом, workflow, multi-agent системой и обычным чат-ботом.
• Опыт реализации supervisor/orchestrator-архитектуры.
• Планирование и декомпозиция сложных пользовательских задач.
• Выбор специализированного агента или инструмента.
• Реализация взаимодействия между агентами.
• Параллельное выполнение независимых задач.
• Управление состоянием долгоживущих сценариев.
• Работа с краткосрочной и долгосрочной памятью.
• Контроль циклов, timeout, retry и fallback.
• Разрешение конфликтующих результатов нескольких агентов.
• Human-in-the-loop и запрос подтверждения перед критичными действиями.
• Защита от бесконтрольного поведения и необоснованных действий агентов.
**Межагентское взаимодействие:**
• типизированные сообщения между агентами;
• контракты задач и результатов;
• делегирование задач;
• общий и изолированный контекст агентов;
• очереди и приоритеты задач;
• синхронное и асинхронное взаимодействие;
• передачу управления между агентами;
• трассировку цепочки выполнения;
• предотвращение зацикливания;
• повторное выполнение и идемпотентность;
• обработку частичной недоступности агентов и инструментов
**Python + Backend:**
• Сильное знание Python.
• Async/await и конкурентное выполнение.
• FastAPI, Pydantic, pytest.
• Проектирование API и типизированных контрактов.
• Модульная и гексагональная архитектура.
• Интеграция нового функционала в существующие системы.
• REST, gRPC, WebSocket или Server-Sent Events.
• Очереди сообщений и фоновые задачи.
• Работа с долгоживущими и асинхронными процессами.
• Понимание микросервисной архитектуры и модульных монолитов.
• Умение проектировать систему без жёсткой зависимости от конкретной LLM или фреймворка.
Условия
* комфортный современный офис: Москва, ул. Вавилова 19
* офисный формат работы на период испытательного срока, после ИС - возможен гибрид
* ежегодный пересмотр зарплаты, структура дохода: оклад + годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* программа адаптации и помощь руководителя на старте (для Junior позиций)
* расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
Основные задачи: подготовка инструментов и тестовых данных, проведение нагрузочного тестирования ТКС, БО, сервисов и подсистем платформы ASTS, сбор и анализ результатов. Требования: Более 5 лет опыта в разработке и тестировании.
Мы ищем инженера по автоматизации тестирования в команду разработки продукта для мониторинга сети. Чем предстоит заниматься: Написание и поддержка фреймворка автоматизированных тестов на Python (PyTest);
Senior QA Компания: Новэлект Локация: РФ (строго) Формат работы: Удаленно Зарплата: 235 000–260 000 net (ИП, СЗ) Основные задачи Задачи, связанные с подготовкой (включая инструменты и тестовые данные), проведением нагрузочного тестирования ТКС, БО, сервисов и подсистем платформы ASTS, сбором и анализом результатов.
Автоотклики