Вакансии

-Анализ документации, разработка и прохождение тест-кейсов. -Создание и актуализация тестовой модели.

Location: Москва Нам нужен опытный DevOps-инженер, который сможет построить и автоматизировать всю инфраструктуру: от развертывания виртуальных машин до отказоустойчивых CI/CD-конвейеров. Обязанности ### Вам предстоит: * проектировать, разворачивать и поддерживать облачную/on-prem инфраструктуру (AWS/GCP/Azure или другие) * настраивать виртуальные машины, кластеры (Kubernetes, OpenShift), балансировку нагрузки (HAProxy, LBOSSE), мониторинг и логирование * создавать и оптимизировать CI/CD-пайплайны (GitLab CI/CD, Jenkins и др.), поддерживать релизный процесс, DevSecOps * автоматизировать процессы с помощью Terraform, Ansible или аналогичных инструментов * обеспечивать безопасность инфраструктуры (IAM, VPC, Secrets Management, сетевые политики) * настраивать мониторинг и алертинг (Prometheus, Grafana, ELK) * работать с базами данных, бэкапами, disaster recovery * оптимизировать производительность и стоимость инфраструктуры. Требования ### Что для нас важно: * опыт от 5 лет в DevOps/SRE/Infrastructure * глубокие знания Linux, сетей, безопасности * опыт с облачными провайдерами  * опыт с контейнерами и оркестрацией (Docker, k8s)  * автоматизация CI/CD (GitLab CI, Jenkins) * обязательный опыт настройки nginx * умение работать с нуля и принимать архитектурные решения * опыт в базах данных PostgreSQL * опыт работы с IMDG (Ignite, Hazelcast) * знание Python/Bash/Go для автоматизации * понимание назначения и принципа работы брокеров сообщений (kafka/rabbitmq или других), опыт установки и настройки * инструментальное владение AI для анализа, генерации и автоматизации. Условия ### Мы предлагаем: * комфортный современный офис * офисный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * 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.

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.

webAI is looking for a Senior DevOps Engineer to design, build, and scale secure infrastructure for AI workloads across cloud and edge environments.

Обязанности Написание и поддержка автотестов на Java. Проведение ручного, интеграционного и регрессионного тестирования.

-Развивать архитектуру mobile test automation (Python/Pytest/Appium): проектировать и рефакторить ключевые компоненты фреймворка, участвовать в принятии архитектурных решений, проводить code review. -Автоматизировать тестирование Android/iOS клиентов и игрового сервера (UI, API, геймплейные сценарии).

• Ручное тестирование и валидация изменений кода, сгенерированных агентной/автоматизированной системой на основе транскриптов поддержки (чат/голос). • Проведение exploratory testing и проектирование подробных тест‑сценариев для сложных изменений.

Ищем DevOps-инженера, который сделает сборку и развёртывание быстрыми, а работу сервисов стабильной. – CI/CD (GitLab CI, Jenkins).

– Опыт коммерческой разработки на Angular от 3 лет, опыт руководства задачами или небольшими командами.

3+ года функционального тестирования. 3+ года автоматизации качества.

In this role, you will own automated test suite development and maintenance across Oracle ERP Cloud (Fusion) and Salesforce, with a focus on Tosca-based regression and progression testing. Run Oracle ERP Cloud and Salesforce QA automation suites for all quarterly patch upgrades end-to-end.

Location: Bangalore At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary We are seeking a Sr SDE – CI/CD & Developer Productivity Engineering to strengthen engineering delivery pipelines, code quality automation, and developer workflows across the Reltio platform. This is a hands-on engineering role focused on Bitbucket, Jenkins, and Argo CD; consistent SonarQube quality and security checks in CI and local development; and reliable Codecov-based code coverage reporting and governance. The engineer will improve pipeline speed, stability, maintainability, and the clarity of quality gates across teams. The ideal candidate has 6–9 years of software engineering, build/release engineering, DevOps, or developer tooling experience and can collaborate with development, QE, DevOps, and security teams in a Kubernetes-based, multi-cloud environment (AWS, Azure, GCP). Job Duties and Responsibilities CI/CD Pipeline Engineering Design, implement, troubleshoot, and optimize CI/CD workflows using Bitbucket, Jenkins, and Argo CD. Improve pull-request validation, build performance, deployment reliability, pipeline observability, and failure triage. Build reusable pipeline templates, shared libraries, and automation to standardize engineering workflows across repositories. Support GitOps-based Kubernetes deployments, environment configuration, release promotion, and safe rollback practices. Implement secure management of pipeline credentials, permissions, and service integrations. SonarQube Integration & Code Quality Integrate SonarQube analysis and quality gates into Bitbucket pull requests and Jenkins pipelines, including branch and PR reporting. Enable and document developer-local analysis workflows, including scanners, IDE integration, and parity with CI checks. Maintain quality profiles, rule configurations, exclusions, and quality-gate policies in collaboration with engineering and security. Troubleshoot analysis failures, false positives, coverage ingestion, and performance bottlenecks; help teams remediate findings. Ensure policy exceptions follow approved review and audit processes. Codecov & Coverage Engineering Integrate Codecov with automated test pipelines and pull-request workflows across relevant repositories. Configure coverage upload, report aggregation, status checks, thresholds, and meaningful coverage-delta reporting. Improve reliability and accuracy of coverage data across unit and integration tests, languages, and parallel CI jobs. Define practical coverage governance and help teams interpret coverage gaps without treating coverage percentage as a substitute for test quality. Engineering Enablement & Collaboration Create dashboards and reporting for build health, pipeline duration, quality-gate outcomes, and coverage trends. Partner with QE, development, DevOps, and security teams to drive adoption, resolve issues, and document standards. Automate repetitive maintenance and support self-service troubleshooting for developers. Skills You Must Have Professional Experience 5–9 years of relevant software engineering, DevOps, build/release engineering, or developer tooling experience. Hands-on experience owning or significantly improving CI/CD pipelines used by multiple engineering teams. Experience supporting distributed microservices and containerized workloads. Technical Skills Strong hands-on knowledge of Bitbucket Git workflows, pull requests, webhooks, and repository permissions. Strong Jenkins experience: declarative pipelines, shared libraries, agents, parallel execution, credentials, and troubleshooting. Practical Argo CD and GitOps experience with Kubernetes deployments, synchronization, drift detection, and rollback. Hands-on SonarQube administration/integration: scanners, quality gates, quality profiles, PR decoration, and local developer analysis. Experience integrating Codecov or equivalent coverage reporting with CI, including coverage artifacts, status checks, and coverage thresholds. Scripting or programming proficiency in Python, Bash, Java, or Groovy; ability to debug build and test tooling. Working knowledge of Kubernetes, Docker/container builds, Linux, networking, secrets management, and cloud environments (AWS, Azure, GCP). Understanding of secure SDLC, access control, code quality metrics, and CI/CD security practices. Skills That Are Nice to Have Experience with Java/Maven/Gradle-based repositories and multi-module builds. Experience with SonarQube security rules, Snyk, or other SAST/SCA tools. Experience tuning large-scale Jenkins infrastructure and optimizing test parallelism or caching. Experience with Terraform, Helm, Prometheus/Grafana, and deployment observability. Experience defining developer productivity metrics and enabling self-service engineering platforms. Strong documentation, collaboration, and cross-team technical communication skills. What Success Looks Like in This Role CI/CD pipelines are faster, more reliable, and easier for engineers to diagnose and maintain. SonarQube checks are consistently enforced in CI and reproducible through supported local developer workflows. Codecov reporting is accurate, actionable, and integrated into pull-request quality decisions. Teams have reusable pipeline standards, clear documentation, and reduced manual effort. Quality and security gates provide trustworthy signals without unnecessary delivery friction. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Sofia, Bulgaria; Yerevan, Armenia; Podgorica, Montenegro CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high-volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. Check out our website for more information: https://cloudlinux.com/ Imunify360 is CloudLinux's security suite for Linux web servers: real-time and background malware scanning, automated cleanup, a WAF, runtime PHP protection (Proactive Defense), a database malware scanner, and IP reputation. It runs on hosting providers' shared, VPS, and dedicated servers, so new web-malware campaigns land on our fleet early. We sit on one of the largest labeled corpora of live web-server malware in the industry: files, verdicts, cleanup outcomes, and analyst decisions collected from production hosting servers every day. It already drives our signatures, heuristics, and ML models, and there is far more to get out of it. We are looking for a Senior ML Engineer who will turn that data into detection that ships — classifiers, LLM-assisted triage and generated signatures — and keep exploring new ML/LLM methods against it, measured by the product's false-negative and false-positive rates, not by notebook accuracy. Our dataset focuses on web malware — PHP, JavaScript, HTML phishing kits, infected WordPress and Joomla plugins and themes, database injections — with the context around each file. What you'll work with: Malware samples from production servers, with verdicts and analyst decisions Years of signatures and detection rules Customer-reported false negatives and false positives Runtime behavior of code on live sites Web-attack traffic File metadata and how files spread across servers Cleanup outcomes, including what came back What you will do: The goal is 10x more malware detected at the same or lower false-positive rate. Hand-written rules and faster pipelines will not get there; models trained on our data might. Decide which files on a server deserve a closer look, within tight CPU and memory budgets Tell malicious code from benign at fleet scale and a sensible cost per file Generate detection signatures automatically from new campaigns Catch malware that only looks malicious in context, such as phishing pages and script injections Route each file to the right detection engine Make cleanup precise so sites stay clean afterwards Prove each model improves detection before it ships How we work: You get an experimentation track, GPUs, and a direct line to leadership; in return, you bring numbers, not opinions. Remote-first, async across UTC−5 to UTC+8. Decisions are written down (ADR-Lite) and public by default. Hardware follows evidence: Each training direction starts with dedicated GPUs on our own bare metal; leadership has committed to fund more when the case is made with data. Agentic engineering: Claude and Codex are the default tools, wired to GitLab, Jenkins, Redash, Jira, and Slite through MCP servers. We look at how engineers work with agents — context, specificity, review quality — not only at output. Close to ground truth: You work daily with malware analysts, detection and infrastructure engineers, and the rest of our ML team. Ship gates: No model or build goes out if it raises false positives or false negatives on our past-error sets. Blameless post-mortems within 24 hours. What you'll deliver: You own the path from raw samples to a model in production, and the numbers that prove it helped. First month: A first model trained on production data and measured against today's engines — suspicious-file triage or a metadata model. The evaluation harness in place: splits by time and campaign so families don't leak, and a regression set from past FPs and FNs. By month 3: Several models in production: some in shadow mode building evidence, some live and producing real detections, all gated on the past-error regression set. A training setup that keeps its GPUs busy. A written proposal (ADR) for the detection cascade, with cost per file and hardware needs. By month 12: Models are a main source of new detections, reported as share of new detections and FN-rate trend. Retraining on fresh analyst and FN labels on a fixed cadence. Generated signatures inside the analyst workflow. Two or three parallel training directions that other engineers can run with your tooling. Requirements What you bring: 5+ years building ML systems that ran in production, including 2+ in an adversarial domain: security, abuse, fraud, or spam. Y ou have trained and fine-tuned transformer models yourself — data preparation, tokenizing code, LoRA/QLoRA or full fine-tunes, distillation, quantization — not only called hosted APIs. Classic ML depth: gradient boosting, linear models on sparse features, calibration, class imbalance, and judgement on when these beat an LLM. Evaluation discipline: leakage-free splits by time and family, precision at a fixed false-positive budget, regression sets, and an honest account of why production will differ from offline. Inference cost engineering: you have measured throughput and latency and made a model fit a CPU or memory budget (ONNX, llama.cpp, vLLM, int8/int4). Strong Python, PyTorch and the Hugging Face stack; SQL on large analytical tables (ClickHouse or similar). Familiarity with PHP or JavaScript , or willingness to pick it up working with our malware analysts. You use AI coding agents daily and can show how. English at upper-Intermediate (B2) level or higher , with particularly strong written communication for async work. It is a strong plus if you have: Web malware, webshells, phishing kits or WordPress security experience. Models over code: AST or token features, code LLMs, graph models on program structure. Malware clustering and similarity analysis. Multi-GPU training on your own bare metal; MLflow or Weights & Biases; dataset versioning. Go or Rust, for on-server inference. Published work or talks on ML for security. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

разрабатывать с нуля AI-агентов и микросервисы для AI-продуктов. исследовать и внедрять новейшие технологические решения в ИИ - Claw-like & Ouroboros.

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.

Location: Canada Wide - Excluding Quebec Workplace: Hybrid Safe Software is looking for a DevOps III to join our FME Flow DevOps team. In this role, you'll help manage our CI/CD pipelines, Kubernetes clusters, and cloud infrastructure. You'll identify inefficiencies in our existing systems and make changes that streamline workflows and reduce cloud costs. Your work will remove friction for our development teams so they can build and test FME Flow as efficiently and securely as possible. As our FME Flow development team grows, the systems you build will need to scale with it. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM As a part of the FME Flow DevOps team, youʼll join a group of talented DevOps Engineers who maintain the tools and infrastructure behind the platform used by our FME Flow developers on a daily basis. The team collaborates closely with the developers to understand what is needed to build FME Flow with great velocity. The FME Flow DevOps team is responsible for the cloud infrastructure and automations used by the FME Flow Dev teams. This team enables our developers to build FME Flow with speed while maintaining a high bar in quality. WHAT YOUʼLL BE DOING As a DevOps III at Safe Software, you will be contributing to the maintenance of infrastructure and pipelines that enable the development, testing, and delivery of our Cloud applications. This includes, but not limited to… - Analyzing and Improving CI/CD Pipelines. Our CI/CD pipelines are very important for our developers, so we want to continuously improve our pipelines to provide faster feedback. - Scripting and Automations. As engineers, we pride ourselves on speed and efficiency. We need to make sure our pipelines are automated with scripts to allow repetition. - Monitoring and Updating Infrastructure. Using “infrastructure as code” principles, we continuously monitor and improve our infrastructure that supports our applications. - Cloud Optimization. On the DevOps team, we take pride in being able to explore and incorporate new industry technologies into our processes. We strive to ensure that our AWS usage costs do not grow unnecessarily, using monitoring to make cost-saving enhancements to our systems. DAY TO DAY RESPONSIBILITIES - Fixing defects or adding new capabilities to our Cloud infrastructure - Developing and maintaining software tools that aid our development teams. - Practicing Kanban style Agile Development with Jira - Researching and Learning new tools and technologies - Reviewing and updating automation pipelines via Jenkins or GitHub Actions - Participate in team meetings to provide updates and report newly-identified issues - Finding, analyzing, and remediating infrastructure related security issues QUALIFICATIONS, SKILLS, AND COMPETENCIES Safers come from a variety of backgrounds with a diversity in skills and knowledge. That said, we find that those who are most successful in this role have experience with the following areas. REQUIRED SKILLS: - Technical skills: 1. Experience with managing Cloud infrastructure: (e.g. Amazon AWS, Google Cloud Platfrom 2. Experience with deploying applications with Docker and Kubernetes 3. You are familiar with scripting languages such as Python, Powershell and/or Bash 4. You have a working knowledge of databases and SQL. 5. You have implemented CI/CD pipelines and administered the systems (e.g. Jenkins, GitHub Actions) 6. Can efficiently work with different operating systems (e.g. Windows, Ubuntu) 7. Experience with A.I. Coding Agents. (e.g. Claude Code, GitHub Copilot) - 3-5 years of DevOps or Platform Engineering or related work experience - Effective communication skills - Excellent planning, organizational and time management skills. - Thrive in a fast-paced and dynamic environment – you are not afraid of fast-paced change! DESIRED SKILLS / BONUS POINTS: - A Bachelorʼs degree in a Computer Science, Computer Engineering or related field, or equivalent combination of education and related experience. - You are self-motivated and proactive, with a strong desire to learn new tools and the latest technologies. - You embrace working in a team-oriented environment, and have a passion for helping others. - Experience with Web Application Development (e.g. Java, Javascript) - Experience with modern IDEs. (e.g. VSCode, JetBrains) - Experience with Kanban or other Agile methodologies. ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: United States, San Mateo, CA 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. Software Development Engineer in Test II Role Overview We are seeking a Software Development Engineer in Test II (SDET II) to join our Video Codec Quality Engineering team, responsible for validating the software and hardware components of the PlayStation SDK's video codec stack. In this role, you will design, build, and maintain automated test frameworks and CI pipelines that ensure the reliability, performance, and correctness of codec technologies across PlayStation platforms. You'll work closely with codec developers and QE peers to catch regressions early, expand automated coverage, and help ship high-quality video encoding/decoding software and hardware to millions of PlayStation users. Responsibilities Design, develop, and maintain automated test suites for PlayStation SDK video codec software and hardware components Build and maintain CI/CD pipelines using Jenkins to support continuous testing, nightly regression runs, and release validation Develop and extend API-level test automation to validate codec SDK interfaces, functionality, and performance Write robust, maintainable test code in C++ and Python to cover functional, regression, performance, and stress testing scenarios Investigate test failures, triage bugs, and work with development teams to drive issues to resolution Collaborate with codec developer teams to understand new features and translate requirements into test plans and automated coverage Monitor test results and CI dashboards, proactively flagging quality risks and coverage gaps Contribute to test infrastructure improvements, including tooling, reporting, and scalability of the automation framework Document test plans, procedures, and known issues to support team knowledge sharing Skills and Qualifications Required: Proven experience building and maintaining CI/CD pipelines with Jenkins 3+ years of experience in software development in test, QA automation, or a related engineering role Strong hands-on coding experience in C++ and Python Experience designing and implementing API test automation frameworks Solid understanding of software testing methodologies (functional, regression, integration, performance) Ability to debug complex issues across software and hardware layers Strong collaboration and communication skills, with experience working cross-functionally with development teams Nice to Have: Experience testing or working with video codec technologies (e.g., H.264, H.265/HEVC, AV1) Familiarity with AI agents or applying AI/LLM-based tools to test automation and workflows Experience with GTest or similar C++ test frameworks (e.g., Catch2, Google Mock) Experience testing embedded systems, SDKs, or console/hardware platforms Familiarity with performance benchmarking and profiling tools 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: Canada Wide - Excluding Quebec Workplace: Hybrid Safe Software is looking for a fun-loving, talented DevOps Engineer who is interested in becoming part of one of the fastest growing data integration companies in the world! As a DevOps Engineer on our Public Cloud DevOps team, you will help enable our teams to develop our Cloud applications at a great velocity by providing a secure, reliable, and robust infrastructure. We have an immediate opening and are excited to find the right candidate to join our team. ABOUT THE TEAM On the Public Cloud DevOps team, we value providing high uptime for our services and highly efficient systems. We are responsible for architecting and maintaining a number of powerful infrastructure tools and pipelines that powers our Cloud applications, as well as maintaining many complex systems such as our CI/CD systems, Kubernetes clusters, internal developer tools, and the many automated services that maximize the efficiency of our developers. Ultimately, we enable our teams to develop and deploy our Cloud applications to a secure, reliable, and robust infrastructure. WHAT YOU'LL BE DOING As a DevOps II at Safe Software, you will be contributing to the maintenance of infrastructure and pipelines that enable the development, testing, and delivery of our Cloud applications. This includes, but not limited to… - Monitoring and Updating Infrastructure. Using “infrastructure as code” principles, we continuously monitor and improve our infrastructure that supports our applications.C - Cloud Optimization. On the DevOps team, we take pride in being able to explore and incorporate new industry technologies into our processes. We strive to ensure that our AWS usage costs do not grow unnecessarily, using monitoring to make cost-saving enhancements to our systems. - Analyzing and Improving CI/CD Pipelines. Our CI/CD pipelines are very important for our developers, so we want to continuously improve our pipelines to provide faster feedback. - Scripting and Automations. As engineers, we pride ourselves on speed and efficiency. We need to make sure our pipelines are automated with scripts to allow repetition. DAY TO DAY RESPONSIBILITIES - Fixing defects or adding new capabilities to our Cloud infrastructure - Developing and maintaining software tools that aid our development teams. - Practicing Kanban style Agile Development with Jira - Researching and Learning new tools and technologies - Reviewing and updating automation pipelines via Jenkins or GitHub Actions - Participate in team meetings to provide updates and report newly-identified issues - Finding, analyzing, and remediating infrastructure related security issues QUALIFICATIONS, SKILLS AND COMPETENCIES - A Bachelor's degree in Computer Science, Computer Engineering or a related field, or an equivalent combination of education and related experience. - 2-3 years of DevOps and Platform Engineering or related work experience - Knowledge or experience with Docker and or Kubernetes. - Knowledge or experience with Cloud Platforms: Amazon AWS, Google Cloud Platform, Microsoft Azure. - You are familiar with scripting languages such as Python, Powershell and/or Bash - You have a working knowledge of databases and SQL. - You are self-motivated and proactive, with a strong desire to learn new tools and the latest technologies. - Excellent written and verbal communication skills. - Excellent planning, organizational and time management skills. - Thrive in a fast-paced and dynamic environment – you are not afraid of fast-paced change! - You are a critical thinker with a curious mind and a love for problem solving. - You embrace working in a team-oriented environment, and have a passion for helping others. BONUS POINTS - Experience with CI/CD Tools or Platforms (e.g. Jenkins, GitHub Actions) - Experience with Kanban or other Agile methodologies. - Experience with different operating systems (e.g. MacOS, Ubuntu). - Experience with popular IDEs. (e.g. Visual Studio, VSCode) - Experience with A.I. Coding Agents. (e.g. Claude Code, GitHub Copilot) ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.