Задачи:
— улучшение решений для обработки данных и обеспечение качества и производительности моделей машинного обучения.
Требования:
— опыт в QA, преимущественно в тестировании бэкенда, с сильным знанием Python (Pytest) для написания и поддержки автоматизированных тестовых скриптов более 3 лет;
— умение работать с Linux и связанными инструментами;
— глубокие знания скриптов Bash;
— понимание принципов Docker/Kubernetes, базовые знания CI/CD и способность анализировать логи бэкенд-сервисов, включая использование Open Lens или аналогичных инструментов;
— опыт работы с Kafka и Kibana или готовность быстро их изучить;
— опыт тестирования RESTful и gRPC API;
— уровень английского языка – Intermediate+ и выше.
Условия:
— гибкий формат: удаленная работа или гибрид.
Работодатель: Andersen Lab — компания, разрабатывающая решения в области данных и машинного обучения.
На проект ведущего банка России требуется QA инженер тестировщик с опытом тестирования бэкенда в IT-проектах.
Задачи:
— Тестирование бэкенд-сервисов, обеспечение качества и стабильности решений.
— Закрытие уязвимостей, расширение функционала до уровня Enterprise, сопровождение продуктов.
Требования:
— Глубокое знание REST API: проектирование и декомпозиция тестовых сценариев на основе OpenAPI / Swagger, проверка status code, структуры ответов, заголовков, rate-limiting.
— Владение SQL (PostgreSQL): написание сложных запросов с JOIN.
— Опыт работы с брокером сообщений Kafka: проверка событийной модели (producer/consumer).
— Понимание микросервисной архитектуры: тестирование согласованности данных между сервисами.
— Опыт работы с контейнеризацией и окружениями: Docker, Kubernetes (понимание подов, сервисов).
— Навыки работы с логированием и трейсингом: Kibana / ELK, OpenTelemetry / Jaeger — умение найти «упавшую» транзакцию по trace-id.
— Опыт с BPM-оркестраторами (Camunda) — проверка workflow длительно выполняющихся процессов.
Условия:
— Формат работы: удаленка.
— Занятость: полная.
— Трудоустройство: ИП.
Задачи:
— Разрабатывать собственную платёжную инфраструктуру вместе с CTO: оркестрацию и маршрутизацию между провайдерами и MID, карточный vault и токенизацию, рекуррентные списания, ребиллинг, ретраи и защиту от двойных списаний.
— Подключать эквайеров и доводить решения до продакшена.
Требования:
— Senior backend-инженер с 5+ годами коммерческой разработки и сильным Go или Node.js/TypeScript.
— Практический опыт payment orchestration и карточной токенизации, понимание PCI DSS и безопасной работы с карточными данными.
— Опыт работы с несколькими PSP/эквайерами, recurring payments, обработкой отказов и идемпотентностью.
— Опыт работы в стартапах и самостоятельного ведения задач от технического решения до запуска.
— Ежедневное использование Claude Code, Codex или аналогичных coding agents.
— Очень продвинутый английский для общения с международной командой и объяснения технических решений фаундерам.
— Большой плюс — network tokens, account updater, high-risk/continuity и платежи за физические товары.
Условия:
— Полностью удалённая работа, full-time без параллельных проектов, B2B и пересечение с рабочими часами Кипра.
— Небольшая инженерная команда, прямое взаимодействие с CTO и возможность влиять на архитектуру продукта.
Location: Warsaw
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Game Engine QA to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Perform all kinds of manual testing
Closely assist the programming team with testing specific changes before code is submitted to the main developer branches
Write new and maintain existing automated tests (Python/Pytest and Lua)
Follow priorities set by the QA Lead to ensure team-wide goals are met
Test and help improve our production pipelines and tools
Act as the first point of contact for the production team on technical issues
Requirements
Experience in programming and/or scripting
Familiarity working with game engines
Background using Perforce or other version control systems
Good judgment in estimating the significance and consequences of bugs
A rigorous, methodical, and resourceful approach to your work
Self-disciplined, with strong self-learning skills
Good communication skills, spoken and written, in English
Passion for video games
Desire to build a long-term career in QA
Nice To Haves
Prior experience in QA is a big plus
Knowledge of JIRA and Jenkins
Familiarity with the RPG genre
What We Offer
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Ищем Python-разработчика / AI Engineer уровня Middle+ / Senior на проект по автоматизации обработки и сверки финансовых документов.
Проект связан с разработкой сервиса, который будет принимать акты сверки и внутренние выгрузки, извлекать из них данные, сопоставлять документы, находить расхождения и формировать понятный результат для пользователя.
Задачи:
— Разбирать и обрабатывать документы в форматах Excel, PDF и сканы.
— Извлекать табличные данные из документов.
— Нормализовать даты, номера документов, суммы и другие поля.
— Проектировать и реализовывать логику сопоставления данных.
— Выявлять расхождения между двумя источниками.
— Обрабатывать сложные кейсы: разные периоды, отличающиеся номера, частичные совпадения и другие неоднозначные ситуации.
— Интегрировать OCR и Document AI-инструменты.
— При необходимости использовать LLM для интерпретации и формирования человекочитаемых объяснений.
— Разрабатывать backend/API для сервиса.
— Участвовать в проектировании архитектуры MVP.
— Работать с реальными обезличенными финансовыми документами и тестировать качество решения на исторических данных.
Требования:
— Коммерческий опыт разработки на Python от 3 лет.
— Уверенное владение Python.
— Опыт работы с pandas и табличными данными.
— Опыт обработки Excel / CSV.
— Опыт парсинга PDF.
— Опыт разработки backend-сервисов и REST API.
— Понимание алгоритмов сопоставления, нормализации и очистки данных.
— Умение проектировать решение самостоятельно, а не только работать по готовому ТЗ.
— Опыт работы с Git.
Будет большим плюсом:
— Опыт с OCR: Tesseract, PaddleOCR или аналогами.
— Опыт с PyMuPDF, pdfplumber, Camelot, Tabula.
— Опыт с fuzzy matching.
— Опыт работы с Document AI / Intelligent Document Processing.
— Интеграция LLM API: OpenAI, Azure OpenAI, YandexGPT или аналогов.
— Опыт разработки систем reconciliation / data matching.
— Опыт работы с финансовыми, бухгалтерскими или другими структурированными документами.
— Опыт On-Premise решений.
— Опыт построения решений, где нужно сочетать детерминированную бизнес-логику и AI.
Что здесь не требуется:
— Мы не ищем классического Data Scientist и не планируем обучение собственных ML-моделей с нуля.
В проекте важнее:
— сильная прикладная Python-разработка;
— работа с документами и данными;
— построение надежной логики сопоставления;
— понимание, где действительно нужен AI, а где лучше использовать обычные алгоритмы.
О проекте:
— На первом этапе планируется разработка MVP без глубокой интеграции с внутренними учетными системами.
— Базовый сценарий: пользователь загружает акт сверки и внутреннюю выгрузку, система извлекает и нормализует данные, выполняет сопоставление, показывает совпадения и расхождения, формирует структурированный результат для пользователя.
— Ожидаемый результат — рабочий прототип, который можно проверить на реальных исторических данных.
Условия:
— Удалённая работа.
— Проектная занятость / аутстафф.
— Возможна полная или частичная загрузка — обсуждается индивидуально.
— Проект стартует с этапа MVP, с возможностью продолжения.
— Работа в составе небольшой проектной команды.
Ожидаемый уровень: Middle+ / Senior
Нам нужен специалист, который сможет самостоятельно разобраться в предметной области, предложить техническое решение и довести его до рабочего результата.
Будет преимуществом в отклике:
— опыт похожих задач: обработка документов, OCR, reconciliation / matching, financial data processing, Document AI, LLM-интеграции.
— указание текущей доступности, возможной загрузки в часах в месяц, часовой ставки, формата работы (ИП / самозанятый / другой).
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
The Trading Systems team builds the mission-critical order, execution, position, and risk infrastructure that powers OKX’s global trading platform. We operate at the intersection of high performance, correctness, resilience, and scale—where every design decision matters.
We are seeking a Senior C++ Software Engineer to lead the design and evolution of our trading counter and core trading systems. This role is for an engineer who combines deep systems expertise with strong ownership: someone who investigates root causes, raises the quality bar across the engineering lifecycle, and turns individual learning into reusable team capability.
What You’ll Be Doing
Lead the architecture, design, and development of complex, high-performance C++ trading systems.
Design reliable distributed systems, including consistency, fault tolerance, disaster recovery, and resilience strategies across system boundaries.
Own work end to end—from technical proposals and design reviews through framework refactoring, implementation, deployment, production debugging, replay, and validation.
Solve low-level systems challenges involving networking, protocols, concurrency, memory management, performance, and operating-system-level behaviour.
Drive architectural improvements by identifying systemic issues and anti-patterns, such as overly coupled or “God Class” designs, and redesigning components with clear responsibilities.
Build proactive quality safeguards, including automated testing, failure-injection scenarios, stability validation, monitoring, and replay-based verification.
Design controlled experiments to validate architectural assumptions and diagnose complex production issues beyond surface-level symptoms.
Work effectively across heterogeneous technology stacks, making sound engineering decisions at language, service, and platform boundaries.
Independently explore and apply AI-assisted engineering practices across code understanding, solution design, cross-review, incident analysis, test validation, and knowledge capture.
Raise engineering standards through thoughtful code reviews, technical discussions, and continuous improvements to development practices.
Mentor engineers and share practical knowledge through documentation, playbooks, technical sessions, and reusable frameworks.
What We Look For In You
Bachelor’s degree or above in Computer Science, Software Engineering, or a related STEM field; equivalent practical experience is also valued.
5+ years of hands-on software engineering experience, with substantial experience building production C++ systems.
Strong experience designing and evolving complex systems, with a clear understanding of architectural trade-offs.
Proven knowledge of concurrency, multithreading, network programming, and performance optimisation in Linux-based environments.
Hands-on experience with distributed consistency, high availability, fault tolerance, disaster recovery, or other system-level reliability designs.
Strong understanding of computer systems fundamentals, including networking protocols, operating systems, memory, storage, and runtime behaviour.
A track record of taking ownership proactively, from defining the problem to delivering and validating a robust solution.
Exceptional debugging and analytical ability, with a habit of investigating why issues occur—not simply applying short-term fixes.
Experience using automated tests, simulation, replay, or comparative experiments to validate system behaviour and reliability.
Clear communication skills and a collaborative mindset; able to turn experience into documentation, standards, and practices that help the whole team.
Nice to Haves
Experience with exchange, brokerage, trading counter, order management, execution, market data, or other low-latency financial systems.
Experience with event-driven architectures, messaging systems, or high-throughput distributed platforms.
Familiarity with Rust, Java, Go, Python, or other languages used in multi-language production environments.
Practical experience applying AI tools to improve software engineering workflows and code quality.
Experience working with globally distributed, cross-functional engineering teams.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Vilnius
Job Overview
We are looking for an
Analytics Engineer
who will own dbt Cloud in our organisation and maintain the analytics pipelines built on top of it. You will administer dbt Cloud across multiple independent projects, keep our business-critical pipelines running (including finance data models), and support analysts in other teams as a mentor and go-to person for dbt.
Our stack is Snowflake, dbt and AWS, with Python for tooling and automation. We are also building AI-assisted and agentic workflows into our daily work, and you will take an active part in this.
Reports to
Director of Mobile and New Games
What will you do?
Administer dbt Cloud for the whole organisation: project setup, environments, permissions, CI/CD, version upgrades and cost control
Set up and support multiple independent dbt projects, define common standards and conventions so teams stay aligned
Develop and maintain production dbt pipelines, including complex finance models where accuracy and trust are critical
Mentor analysts on dbt, SQL modeling, testing and code review
Tune Snowflake performance and cost, improve pipeline reliability and monitoring
Build tooling and automation in Python (AWS Lambda, S3, orchestration, metadata workflows)
Drive AI adoption in our analytics engineering work: build common AI skills for dbt development (documentation, testing, code generation) and automated agentic workflows that the whole team can reuse
Follow current trends in AI tooling and agentic systems, evaluate new approaches and bring the useful ones into the team
What are we looking for?
4+ years of experience in analytics engineering, data engineering or a similar role
Strong hands-on dbt experience, ideally including dbt Cloud administration (projects, environments, jobs, CI/CD), not only model development
Strong SQL and data modeling skills
Production experience with Snowflake, including performance tuning and cost awareness
Python for data tooling and automation
Experience with AWS services used in data platforms (Lambda, S3)
Experience owning business critical pipelines: data quality testing, incident handling, communication with non-technical stakeholders
Experience with mentoring or supporting analysts
Fluent English
What additional skills will help you stand out?
Strong understanding of agentic AI workflows: practical experience building LLM based agents, AI skills and automated workflows for engineering tasks
Experience with multi-agent setups (orchestration of several agents, subagents, agent-to-agent handoffs)
Good understanding of current trends in the AI space and ability to judge what is actually useful for a data team
Experience with multi-project dbt setups (dbt Mesh, cross-project references or similar)
Experience with finance or revenue data (reconciliation, reporting-grade accuracy)
Background in gaming, mobile apps or other consumer product analytics
Familiarity with marketing and attribution data (AppsFlyer) or product telemetry
dbt certification
Work mode
Hybrid (3 days of work from the office)
This role isn't eligible for relocation & immigration support.
The salary range for this role in Vilnius is EUR 4000-6500 monthly gross.
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Vilnius include:
Additional paid time off
Sick Leave Compensation
Pregnancy and Childbirth Leave Benefit
Career development and education opportunities within the company
Meal Allowance
Premium Private Health Care
Mental well-being program (iFeel)
Perks discounts platform (over 450 exclusive discounts)
Personal Gaming Account
Coffee, fruits, and snacks in the office
Company events
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Bulgaria, Poland
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
Develop and maintain full-stack web applications, focusing on functionality, scalability, and performance
Implement new features and improvements in a well-structured and maintainable way
Collaborate with product managers, UX designers, and other developers to create intuitive and accessible interfaces
Participate in code reviews, testing, and debugging to ensure high-quality deliverables
Contribute to API development, integrations, and backend services using Python
Assist in estimating tasks, tracking progress, and ensuring timely delivery within the sprint scope
Stay updated with emerging technologies and actively contribute to team knowledge sharing
What You Bring
Professional experience in backend development with Python or Node.js
Hands-on experience with React.js (or similar frameworks such as Vue.js or Next.js)
Experience building and consuming RESTful APIs and working with databases (SQL/NoSQL)
Understanding of web application architecture, version control (Git), and CI/CD workflows
Knowledge of cloud platforms (AWS, GCP, or Azure) is a plus
Good problem-solving and analytical skills, with attention to code quality and maintainability
Team-oriented mindset, eagerness to learn, and openness to feedback
English Level
Intermediate +
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Работа в Uzum Market — технологической экосистеме в Узбекистане, развивающей маркетплейс, сервисы доставки и цифровой банкинг.
Возможна удалённая работа или работа в офисе в Ташкенте.
Компания предоставляет помощь с переездом.
Constructor — инструмент AI-персонализации результатов поиска на e-com сайтах для роста конверсий в покупку и выручки. Среди клиентов — Sephora, American Eagle, Birkenstock и др.
Требования:
— 4+ года опыта
— Знание Python
— Опыт работы с PyTorch, Spark, Airflow
— Отличное владение английским языком
Формат работы: удалённо (EMEA)
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role: Network
Engineering Manager APAC / Network Team Lead APAC
We are looking for a
Staff Network Engineer / Player-Coach Team Lead
to lead the growth, deployment, and operational execution of our
APAC Network Infrastructure emerging team
. In this role, you will combine direct people leadership with high-end technical expertise. You will lead a growing regional team of
2–5 jun/mid-to-senior network engineers
, driving their professional development, cross-project prioritization across our
Global Network
, and overall execution aligned with global business objectives, with a priority on the
APAC Region
and backbone network development across EU and the US for APAC.
As a hands-on technical manager, you will remain deeply embedded in engineering execution, dedicating approximately
50–70% of your time to hands-on engineering
during your first year, with the role evolving naturally alongside organizational scale and regional team expansion.
Crucially, this position demands a high degree of
operational autonomy
. Due to the timezone differences, you will serve as the primary regional networking authority, bridging global network architecture defined with our EU/EMEA/the US engineering headquarters and regional execution across APAC colocation sites, cable landings, and data centers.
This position is remote within the APAC region (with preferred hubs in India, Singapore), with regular visits to regional DC facilities and our European headquarters in Amsterdam.
Your responsibilities will include:
Team Leadership & People Management
Deploy APAC network part and BackBone. Lead, mentor, and structurally develop a regional engineering team of 2–5 jun/mid-to-senior network engineers across the APAC.
Own regional task planning, backlog prioritization, change review governance, and end-to-end execution within the team.
Drive and owning the Launch and Deploy process of New DataCentre and Customer in it
Drive technical coaching, and personalized career roadmaps for team members.
Foster a disciplined culture of radical ownership, engineering excellence, comprehensive runbook documentation, and Git-driven automation.
Act as the regional net escalation point for production network incidents
Global Follow-the-Sun Alignment:
Co-own operational hand-off workflows and shared incident coverage with
EMEA (HQ in Amsterdam)
and the
US
network teams to guarantee seamless, round-the-clock global production network stability and customer workability.
Cross-Functional Alignment & Strategic Autonomy
Serve as the primary regional network owner for the next teams in APAC: datacenter operations team, site expansion teams.
EU/EMEA Coordination:
Actively partner with the Global Network Architecture and R&D to adapt core architectural standards (Clos fabrics, SRv6, backbone routing policies) to APAC market realities and carrier ecosystems.
Autonomously drive regional connectivity delivery: partner closely with Technical Program Managers (TPMs) on submarine cable systems, cross-border DCI circuits, local Internet Exchanges (IXs), and regional transit providers.
Coordinate with HWaaS, Compute, and Cloud Platform engineering teams to guarantee timely site bring-up, Day-0 Out-of-Band (OOB) readiness, and high-throughput fabric availability for production workloads.
Bridge the gap between global strategic roadmaps and autonomous local incident resolution, ensuring APAC operations execute reliably during EMEA off-hours.
Technical Leadership & Hands-on Work (50–60%)
Full Regional Network Ownership:
Own and guarantee overall network infrastructure readiness, capacity, and availability across emerging APAC network infrastructure, ensuring alignment with HQ blueprints and processes
Actively contribute to the design, deployment, and operation of massive data center fabrics and backbone infrastructure.
Support and participate in the evolution high-performance Ethernet-based GPU cluster interconnects.
Participate in complex, high-severity troubleshooting and root-cause analysis (RCA) for critical infrastructure incidents.
Oversee and contribute to network automation pipelines, tooling, and telemetry/observability development.
We expect you to have:
Expert-Level Technical Background:
Service Provider or/and Data Center Clos networks.
BGP, IS-IS, Segment Routing (SR-MPLS / SRv6), and advanced traffic balancing
Ethernet switching, EVPN-VXLAN architectures, and L3 VPNs.
Leadership Experience: Proven track record as a Tech Lead, Lead/Staff Engineer, or People Manager leading mid-to-senior engineering teams.
Vendor Ecosystem: Juniper, Arista, Cisco, NVIDIA
It will be an added bonus if you have:
Hands-on experience with GPU cluster, RoCEv2/ECN or InfiniBand networks
Solid understanding of Public Cloud networking models and Software-Defined Networking (SDN) overlays.
Proficiency in Python or Go for infrastructure automation and production tooling within Linux environments.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability.
You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads.
Your responsibilities
Own optimization projects for specific model families, customer endpoints, or serving backends.
Compare inference engines and recommend serving configurations suited to individual workloads.
Diagnose model-quality and performance regressions during production rollouts.
Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token.
Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo.
Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery.
Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture.
Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets.
Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead.
Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets.
Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers.
Produce design documents, performance reports, rollout plans, and customer-facing technical explanations.
Must-haves
Strong engineering skills in Python and PyTorch.
Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference.
Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system.
A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving.
Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost.
Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism.
Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams.
Nice-to-haves
Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant.
Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods.
Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration.
Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization.
Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe.
Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance.
Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Задачи:
— Обеспечивать качество продукта на всех этапах разработки
— Проводить функциональное, интеграционное и регрессионное тестирование
— Выстраивать процессы автоматизации тестирования продукта
— Разрабатывать и поддерживать тестовую модель: от написания тест-кейсов до реализации сложных интеграционных и E2E сценариев
— Тестировать бэкенд и клиентскую часть во всех плоскостях: логика переписок, отправка медиафайлов, работа системы аудио/видеозвонков, реакций и папок и т.д.
Требования:
— Опыт в QA Automation от 4 лет и глубокое понимание теории тестирования, тест-дизайна и архитектуры автотестов
— Опыт написания автотестов на Golang (testing в связке с testify, go-resty, testcontainers-go и т.д.)
— Опыт тестирования клиент-серверной архитектуры, работы с протоколами передачи данных, медиа-потоками и WebSocket
— Опыт автоматизации UI: уверенные навыки работы с Selenium и/или Playwright
— Умение работать в кроссплатформенной среде (Web, Mobile iOS/Android)
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seniorAmsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe
