Andersen Lab ☀️ is hiring a 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐐𝐀 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 for a project developing an integration layer and ensuring reliable data exchange and seamless communication across multiple systems. - Experience in full-stack QA for 3+ years, covering both manual testing and Java-based test automation.
Требования:
— Диплом в области электронной или электротехнической инженерии либо в смежной области.
— Опыт работы не менее шести месяцев в полупроводниковой отрасли, связанный с проектированием силиконовой упаковки или печатных плат (PCB).
Требования:
— Высшее образование в области машиностроения, электротехники, электроники или аналогичной области.
— Приглашаются как выпускники без опыта, так и с опытом работы.
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Location: United Kingdom, London
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.
About GDFT
Gaming, Developer, and Future Technology (GDFT) are the technology specialists at PlayStation. We build the underlying systems that power core platform capabilities and developer tools. Our mission is to enable world-class gaming experiences by delivering low-level, high-performance technology for PlayStation platforms.
The Role
We are looking for an engineer to join the GDFT department, working on the design and optimisation of PlayStation’s real-time game streaming technologies.
You will contribute to the development of low-latency video streaming systems across current and future PlayStation platforms, working on performance-critical areas spanning frame capture, media pipelines, codec configuration, system services and streaming transport.
The role is particularly suited to engineers with a strong C/C++ background and experience working with native video or media systems, including embedded devices, TV firmware, set-top boxes, consoles, or similar.
Our work sits at the intersection of product engineering and R&D. Alongside delivering production technology, engineers are encouraged to investigate new approaches to reducing end-to-end latency, improving visual quality and reducing bitrate, using measurement and experimentation to determine where meaningful improvements can be made.
What You'll Be Doing
Develop, optimise and maintain low-level C and C++ components within PlayStation’s game streaming stack.
Investigate opportunities to reduce end-to-end streaming latency across frame capture, buffering, encoding, transport, decoding and presentation.
Optimise the use and configuration of hardware video encoders, applying knowledge of codec behaviour and low-latency encoding techniques.
Analyse existing media pipelines to identify unnecessary buffering, memory copies, synchronisation delays and other sources of latency.
Use software and hardware instrumentation to measure system behaviour, validate hypotheses and quantify the impact of performance changes.
Investigate and debug issues across user-space applications, system services and daemon-level components.
Prototype and evaluate new approaches to improving streaming quality, latency and bandwidth efficiency.
Work with engineers and researchers across the wider organisation on areas such as codec development, rate control, Forward Error Correction and emerging media technologies.
Contribute technical findings and recommendations to design discussions, working with senior engineers to determine appropriate production solutions.
Collaborate across teams to integrate and validate streaming technologies within PlayStation platform software.
Attend periodic in-person workshops or team events, with travel possible a few times per year.
What We Are Looking For
This is a mid-level opportunity. You should bring some of the following skills and experience:
Strong proficiency in C and C++.
Experience developing native, performance-sensitive software rather than primarily web or managed application stacks.
Experience working with real-time video, media pipelines, codecs or embedded multimedia systems.
Practical understanding of video compression and media formats, including concepts such as chroma subsampling, bit depth and colour representation, with familiarity of codecs such as AVC, HEVC or AV1.
Understanding of concepts relevant to low-latency video encoding, which may include GOP structures, reference frames, rate control, VBV, quantisation parameters, slices, tiles or hardware codec APIs.
Strong debugging, profiling and performance-analysis skills.
An ability to investigate complex technical problems, identify likely causes and use evidence and instrumentation to support conclusions.
Comfortable working in unfamiliar parts of a large system and developing an understanding of how multiple components interact.
An experimental mindset, with an interest in prototyping, measuring and evaluating alternative technical approaches.
Ability to contribute to technical discussions and work with senior engineers when deciding how findings should be taken forward.
Highly Desirable Skills:
Experience in one or more of the following areas would be advantageous; we do not expect candidates to have experience across all of them:
Familiarity with techniques for evaluating video codec performance, including bitrate/quality/latency trade-offs and objective or perceptual video quality metrics (such as PSNR and VMAF).
Familiarity with compressed video bitstreams and codec signalling, such as NAL units/OBUs, parameter sets, profiles/levels and supplemental enhancement information.
Experience developing native video players, media frameworks or codec pipelines on TVs, set-top boxes, consoles, mobile devices or other embedded platforms.
Experience configuring or integrating hardware video encoders or decoders.
Deeper knowledge of H.264, HEVC, AV1 or other current and emerging video codecs, beyond high-level API configuration, such as reference structures, rate-control behaviour, bitstream structure or encoder-specific optimisation.
Experience optimising real-time video for low latency, visual quality or bitrate efficiency.
Familiarity with frame capture, graphics presentation pipelines, framebuffers or GPU/CPU synchronisation.
Experience identifying and reducing memory copies, queueing delays, memory-bandwidth limitations or other system-level performance bottlenecks.
Experience working with system services, daemons, firmware interfaces or other low-level platform components.
Familiarity with techniques such as content-aware encoding, region-of-interest encoding, adaptive resolution or frame rate, alternative reference-frame strategies or similar streaming optimisations.
Experience with Forward Error Correction or other techniques for improving the resilience of real-time media.
Experience with SIMD, vectorisation, cache optimisation or multithreaded performance tuning with instrumentation.
Experience with console or embedded systems development environments.
Experience with Git, Jenkins or similar CI/CD workflows.
Why Work in GDFT
Focused on platform-wide technology development
Room to explore and innovate within performance-critical system areas
Work on cross-regional collaborative projects
Flexible and relaxed working environment, with strong support for hybrid work
Opportunities for extensive professional development, technical conference attendance, and participation in internal hackathons
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
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.
— Designing, deploying, configuring, and maintaining scalable monitoring, logging, and alerting platforms for production and beta/test/dev environments; — Operating Prometheus, Alertmanager, Grafana, Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards, including upgrades, reliability, availability, capacity, and retention planning;
Location: Biassono, Italy; Milan, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
Ready to launch your cloud engineering journey by helping power the future of enterprise learning? As a Cloud Engineer I at Docebo, you won’t just keep systems running—you'll collaborate with seasoned mentors to automate, secure, and scale our multi-tenant AWS cloud environments. You will play a vital role in keeping our platforms robust, compliant, and rock-solid for millions of users worldwide. If you're eager to turn complex infrastructure challenges into seamless, high-impact performance, your next big adventure starts here!
🛠️ THE DAY-TO-DAY
- Build the Foundation: Implement defined AWS compute, storage, networking, and IAM changes alongside senior engineers using best-in-class multi-tenant patterns.
- Automate Everything: Craft and refine Infrastructure-as-Code (Terraform, CloudFormation) modules and scripts to streamline routine provisioning, maintenance, and backups.
- Master Observability: Configure dynamic dashboards and alerts in tools like Datadog and CloudWatch to keep a proactive finger on overall system health.
- Troubleshoot & Resolve: Dive into non-production environments to investigate issues, analyze logs and metrics, apply targeted fixes, and escalate complex puzzles when needed.
- Drive Cross-Functional Synergy: Collaborate closely with Product Engineering and Site Reliability Engineering (SRE) teams to translate requirements into smooth cloud changes.
- Guard the Castle: Support critical FedRAMP system patching routines, monitor security compliance dashboards, and take swift action to resolve vulnerabilities.
- Document for Success: Create clear runbooks, configuration updates, and script documentation so the entire team can easily reuse and build upon your work.
⚡ YOUR SUPERPOWERS
- Solid Educational Foundation: A Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent hands-on project experience.
- Early Cloud Craft: 1–2 years of experience or project work in cloud or infrastructure engineering, with exposure to AWS (or another major cloud provider).
- Tooling & Scripting Chops: Comfort navigating Linux, writing scripts in Bash or Python, and managing code using Git alongside CI/CD tools like GitLab CI or Jenkins.
- Incurable Curiosity: A high interest in modern containerization (Docker, Kubernetes) and Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Growth Mindset: A strong problem-solving approach paired with an enthusiastic drive to continually elevate your cloud engineering skills.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other at either our Milan or Biassono location. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Workplace: none
About Utorg
Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date.
Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra.
Location: Remote
Tech stack
Frontend: React 18/19, TypeScript, Vite, TanStack Query / Router / Table, Zustand, MUI, Tailwind + shadcn/ui, Next.js, i18next, Sentry
Testing: Playwright, Vitest, Testing Library, MSW
Backend: Java 17 + Spring Boot 3, Kotlin + Spring Boot 4 (new services), Node.js/TypeScript services, PostgreSQL, Redis, NATS, Temporal
Infrastructure: Docker, Kubernetes (GKE), FluxCD, GitHub Actions, Cloudflare
Web3: viem, ethers
AI: Claude Code, MCP, custom skills and plugins, AI code review in CI
The role
We are looking for a senior engineer who builds product features end-to-end — mostly on the frontend, with the confidence to change the backend when the feature needs it — and who already works agent-first. Our team plans, writes, tests, and reviews code with AI agents. You will own the frontend of our payment products and help turn good AI habits into shared team workflows.
The split is roughly 70% frontend / 30% backend.
What you will work on
Crypto on/off-ramp widget — an embeddable buy/sell flow with KYC, card payments with 3-D Secure, alternative payment methods, and a customer account area—one codebase, built for multiple white-label brands.
Merchant checkout — hosted payment pages, from a simple one-step checkout to a full multi-step flow with KYC and compliance screens.
Back-office admin apps — internal tools that operations, compliance, and support use every day. A legacy admin is being replaced by a new one built on a modern stack.
Backend changes — API endpoints and business logic in our Java/Spring Boot services, so a feature doesn't stop at the API boundary.
Responsibilities
Own features from ticket to production: UI, API contract, backend change, tests, release, and monitoring.
Make frontend architecture decisions and drive ongoing migrations (legacy admin → new admin, older UI libraries → modern stack, stricter type checks).
Build and improve AI-driven development workflows: project context files, shared skills and commands, automated PR review in CI, agent-driven end-to-end and visual checks.
Review code — both teammates' and agents' — and keep the quality bar high.
Work with product, design (Figma), QA, and backend engineers in a weekly release cycle.
Must have
5+ years of commercial frontend development, 3+ years with React + TypeScript in production.
Solid modern React: server-state management
(TanStack Query or similar), client state (Zustand/Redux), forms, routing, performance. Comfortable with large legacy codebases, not just greenfield projects.
Production backend experience in at least one language.
Java or Kotlin with Spring is a plus; Node.js/TypeScript, Go, or others are fine. You can design a REST API, work with PostgreSQL (schema, indexes, migrations), and ship changes in our Java services.
Agentic development is your daily way of working — with Claude Code, Codex, or a similar agent, not just autocomplete. Specifically:
you keep project context files (
CLAUDE.md
/
AGENTS.md
) and write your own skills, commands, or subagents;
you connect agents to real tools through MCP (issue tracker, GitHub, Figma, databases, browser);
you work in a plan → implement → verify loop, where the agent proves its work with tests, type checks, and browser automation;
you run agents in parallel and headless (for example, an AI review bot in CI);
you review agent output critically and know the failure modes: invented APIs, silent scope creep, "fixing" a test instead of the code, leaked secrets, prompt injection;
you keep up with how agentic tools change (new features, models, practices) and bring what works into your workflow
.
Testing: Playwright for end-to-end, Vitest/Jest for unit and integration tests.
Security-minded: real money, personal data, auth tokens, iframes, and cross-origin messaging.
Fluent Russian (the team's working language). English good enough to read and write technical texts: tasks, pull requests, and docs are in English.
Nice to have
Payments/fintech: card flows and 3-D Secure, alternative payment methods, KYC SDKs (e.g., SumSub), fraud prevention, open banking.
Web3 on the frontend: viem / ethers, wallet connection, EIP-712 signing.
Multi-brand (white-label) products, theming and design tokens.
OpenAPI-generated clients (Orval), TanStack Router / Table.
Kotlin, Spring Boot, NATS, Temporal.
Docker, Kubernetes, GitHub Actions, GitOps (FluxCD), Cloudflare Workers.
How we work with AI
Every main repository has AI context files and repo-specific skills.
An internal plugin marketplace ships team-wide skills (code review, release flow, back-office operations).
AI code review runs on pull requests in CI. It advises, and humans decide.
Custom MCP servers provide agents with secure access to internal systems.
The company pays for AI tooling.
What we offer
Fully remote work in an international team.
A team where AI-first engineering is the norm, not an experiment.
Real influence on architecture and on how the team works.
A product at real scale: millions of users and thousands of partner platforms.
Competitive salary based on individual performance review.
Transparent feedback culture that values ownership and visible impact.
Recruitment process
Apply with your CV.
Application review.
HR interview with a short technical screen.
Technical interview: a live task solved with your own AI agent while sharing your screen, plus a design discussion.
Final interview with the CTO.
Offer.
– Разрабатывать с нуля MVP новой дата‑платформы и инфраструктуры для ingest/transform. – Мигрировать существующие пайплайны с Hadoop/HDFS на новую архитектуру (S3, Kafka, Spark, ClickHouse).
▸ Build and maintain CI/CD pipelines for automated testing and deployment of infrastructure services. ▸ Design and manage AWS infrastructure with Terraform.
ГибридseniorLimassol
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Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Location: Москва
В Центре Робототехники Сбера мы интегрируем передовые робототехнические системы собственной разработки, включая манипуляторы, мобильные колесные роботы, мобильные манипуляторы, роботов собак и другие cutting-edge решения, в реальные промышленные проекты, чтобы обеспечить эффективность и автоматизацию процессов.
Мы ищем единомышленников, которые разделяют нашу страсть к робототехнике и обладают навыками разработки встраиваемого программного обеспечения.
Первый этап отбора на эту вакансию — общение с AI-рекрутером. После отклика ждите сообщение от него, диалог займёт примерно 10 минут. Задача AI-рекрутера — уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры.
Обязанности
* проектировать архитектуру программного обеспечения робота и отдельных его подсистем
* принимать ключевые технические решения по взаимодействию компонентов системы
* разрабатывать критически важные компоненты робототехнического ПО на C++ и Python
* разрабатывать и развивать ROS2-инфраструктуру робота
* проектировать интерфейсы взаимодействия между сенсорами, исполнительными механизмами, алгоритмами управления, навигацией, бизнес-логикой, облачными и backend-сервисами
* разрабатывать системы внутренней и внешней калибровки камер, LiDAR, IMU и других сенсоров
* Разрабатывать высокоуровневую логику поведения роботов на базе Behavior Trees / State Machines
* формировать стандарты разработки и инженерные практики внутри команды, проводить архитектурные и code review, наставничество Middle/Junior инженеров и взаимодействие со смежными командами.
Требования
* высшее техническое образование в области робототехники или смежное направление
* опыт коммерческой разработки ПО, существенная часть которого связана с робототехникой, embedded-системами, промышленной автоматизацией или другими системами, тесно взаимодействующими с реальным оборудованием от 5-ти лет
* отличное знание C++ и Python
* уверенное понимание архитектуры современных робототехнических систем
* глубокий практический опыт работы с ROS2
* уверенное понимание DDS, QoS, executors, lifecycle nodes, composition, actions/services/topics, rosbag, TF2
* умение диагностировать проблемы производительности, задержек, race conditions, deadlock'ов, утечек памяти и нестабильного поведения системы
* уверенные знания Linux: процессы, потоки, сеть, устройства, systemd, логирование, профилирование и диагностика
* практический опыт работы с gRPC, WebSocket, REST API
* опыт разработки контейнеризированных приложений и работы с Docker
* опыт лидирования командой , проведение code review, наставничества от 3-х лет.
Будет плюсом:
* опыт разработки собственных ROS2-фреймворков, библиотек и инфраструктурных компонентов
* участие в open-source проектах
* опыт работы с NVIDIA Jetson, CUDA, TensorRT
* опыт работы с симуляторами NVIDIA Isaac Sim, MuJoCo, Gazebo, PyBullet
* общее понимание современных ИИ-инструментов и их возможностей.
Условия
* комфортный современный офис г. Москва, МЦК ЗИЛ, Автозаводская 23а к2
* **формат работы - лаборатория робототехники**
* 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 (для вакансий уровня Junior)
* 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.
💻 What You’ll Do Design and develop scalable backend services using Java Build and maintain high-availability web applications Improve system performance, reliability, and scalability Collaborate with cross-functional teams on large-scale platform development Contribute to architecture discussions and code reviews.
• Проектировать и поддерживать интеграцию источников данных (взаимодействие с процессинговыми системами и АБС); • Организовывать мониторинг актуальности входящих данных и оперативно реагировать на инциденты;