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Задачи: — Проектировать технические решения для интеграционных задач разного уровня сложности, тесно взаимодействовать с командами мобильных клиентов. — Брать на себя ответственность за кодовую базу продукта и демонстрировать проактивный подход к улучшению качества архитектуры проекта. — Осуществлять доставку высоконагруженных сервисов с помощью CI/CD в Kubernetes в несколько дата-центров. — Демонстрировать структурированный подход к написанию тестов. — Обеспечивать бесперебойную работу сервиса и заданный уровень SLO. — Быть примером для подражания для менее опытных коллег и транслировать ценности команды. Требования: — Опыт проектирования и разработки бэкенд-сервисов от 6+ лет на любом языке программирования. — Практический опыт разработки на Go последние 4-5 лет. — Опыт работы с реляционными и нереляционными базами данных, с брокерами сообщений. — Умение структурировано и доступно выражать свои мысли, а также аргументированно отстаивать свою позицию. — Ориентация на решение проблем пользователей и бизнеса, технологии не являются самоцелью. — Локация в РФ. Условия: — Удалённый формат работы. — Гибкий график, фулл-тайм. — Возможность получить широкую экспертизу в разнообразных доменах бизнеса. — Влияние на развитие продуктов и на технические решения. — Обмен знаниями и технический рост. — Конкурентная зарплата (b2b контракт, ИП).

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Задачи: — Проектировать отказоустойчивые технические решения — Разрабатывать высоконагруженные микросервисы по задачам платформы backend — Отвечать за код до момента релиза и после: делать код-ревью, писать автотесты, релизить, настраивать мониторинги — Развивать направление на Golang, при желании перехода в будущем, делиться знаниями и практиками между разработчиками других микросервисов Требования: — Качественный опыт написания кода на python от 3 лет — Опыт написания кода на golang и желание развиваться в нем — Умение и практика написания тестов — Свободное владение linux (bash, sed, grep и другие утилиты) — Опыт работы с СУБД: postgresql, MongoDB, ElasticSearch, Redis — Опыт работы с CI/CD: gitlab, docker, kubernetes — Знание классических алгоритмов и структур данных Условия: — Официальное трудоустройство и конкурентная заработная плата — Уютный и современный офис в шаговой доступности от станций метро Дмитровская, Савёловская, рядом с Флаконом и Хлебозаводом — Гибридный формат работы (или возможность переехать в Москву из регионов России) — Предоставление современной рабочей техники, дополнительного монитора и многое другое для комфортной работы — Гибкое начало рабочего дня по согласованию с руководителем — Забота о здоровье: консультации психолога, юриста, финансового консультанта и специалиста по ЗОЖ, после испытательного срока - ДМС (со стоматологией) и страховка для выезда за рубеж — Поддержка в обмене знаниями и идеями: поощрение выступлений на митапах и помощь с подготовкой докладов — Бесплатная подписка на сервис корпоративных скидок и предложений BestBenefits, доступ к онлайн-библиотеке издательства «МИФ»

Location: Portugal; Albania; Georgia; Greece; Bulgaria; Kosovo; Bosnia and Herzegovina; Armenia; Italy; Spain; Malta; Romania; Ireland; Croatia; Serbia; Montenegro Workplace: Remote ABOUT BLOCK LABS Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We don't just ship features; we engineer high-scale, production-grade platforms that power the next generation of digital products. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture. Whether we are designing autonomous multi-agent AI systems, building decentralized financial infrastructure, or architecting high-frequency iGaming platforms, our standard is excellence. We move fast, but we build for the long term. If you are looking to work alongside a team that values deep technical expertise, thoughtful system design, and product ownership, Block Labs is where you belong. THE ROLE Data & Intelligence now sits at the centre of several products we are developing, and we need a platform that is both dependable and capable of supporting more advanced intelligence over time. This role reflects that shift. We are designing a new data platform that will act as the backbone for everything from real time decisioning to predictive modelling. As a Data Platform Engineer in the Data Team, you will own the end-to-end real-time pipeline, serving data across a unified analytical warehouse and feature-serving layer. You are not building dashboards. You are engineering the commercial nervous system of a multi-tenant platform designed to scale from one operator to 10x with marginal infrastructure cost. KEY RESPONSIBILITIES: - Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools. - Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices. - Implement data contracts between back-office and the platform. Onboarding a new operator is a config change, not new tables, topics, or feature views. - Build the feature-serving layer providing pre-computed features to AI agents at millisecond latency. - Integrate with third-party databases, back-office APIs, and external systems (CRM, affiliates, acquisition platforms). - Establish monitoring, alerting, and maintenance procedures including pipeline health checks, freshness monitoring, anomaly detection, and data contract SLA enforcement. - Own CI/CD and infrastructure-as-code for data workloads. - Collaborate with data scientists, agent engineers, BI developers, and infrastructure teams to translate data requirements into reliable, production-grade pipelines. ABOUT YOU: - 3+ years building and operating production data pipelines at scale, with hands-on experience across both streaming and batch paradigms. - Expertise in Apache Kafka (or Amazon MSK): topic design, consumer group management, offset handling, schema registry operations, and production troubleshooting of lag, rebalancing, and throughput issues. - Strong SQL and warehouse engineering skills: experience with columnar analytical databases (ClickHouse strongly preferred, or similar: Druid, BigQuery, Redshift). - PySpark / Spark Streaming proficiency: writing transformation jobs that normalise, enrich, and enforce business rules on event streams. Experience with AWS Glue, Apache Airflow, or Apache NiFi is a strong plus. - Data modelling discipline: ability to design normalised, multi-tenant schemas where tenant isolation is a filter, not a fork. Experience with data contracts and schema governance. - CI/CD and infrastructure-as-code experience: automated testing of data pipelines, version-controlled deployments (CloudFormation, Terraform, or CDK), and familiarity with containerised workloads (ECS Fargate or Kubernetes). - Data quality and observability mindset: experience implementing pipeline health monitoring, automated data validation (Great Expectations or equivalent), freshness checks, and anomaly detection. NICE TO HAVE - Experience in iGaming, online casino, poker, or sportsbook platforms. - Exposure to blockchain or crypto-native transaction flows, including on-chain event ingestion, token-denominated accounting, or stablecoin settlement. - Comfortable operating in an AWS-native environment (MSK, Glue, S3, DynamoDB, ECS, IAM). You understand serverless tradeoffs and can size infrastructure for cost efficiency. - Feature store experience (SageMaker, Feast, or Tecton) building offline/online feature pipelines that serve ML models at inference time. - Prior work in regulated industries (financial services, gambling, fintech) where data lineage, auditability, and compliance are non-negotiable. - Experience migrating legacy query engines (Athena, Trino, Presto) to modern analytical warehouses with reconciliation frameworks to validate correctness. HOW WE WORK - Fully remote with asynchronous-first communication. EU time zone overlap is preferred. - Small, high-autonomy team within the Data function. You report to the Head of Data and co-ordinate with the AI, BI, and Infrastructure Teams. - Architecture decisions are documented and debated. You will participate in design reviews and own your domain decisions. - We build for multi-tenant scale from day one. Every pipeline, schema, and contract you ship must absorb a new operator without engineering effort. - On-call rotation will be established in the run phase. During the build phase, the focus is velocity with quality. No firefighting legacy systems. What kind of culture can I expect? Mature, mission-driven, and low-ego. We value clarity over noise, outcomes over theatrics, and pace without chaos. If you’re one of the smartest minds in your craft and want to build with other experts, you’ll feel at home here.

Задачи: — Разработка и поддержка серверных приложений и RESTful API на Kotlin (Ktor или Spring Boot). — Проектирование микросервисной архитектуры с паттернами межсервисного взаимодействия. — Проектирование и оптимизация схем баз данных PostgreSQL/MongoDB, реализация кэширования (Redis). — Интеграция брокеров сообщений (Kafka, RabbitMQ) для асинхронной и событийно-ориентированной обработки. — Реализация аутентификации и авторизации (JWT, OAuth2), написание чистого и документированного кода. — Контейнеризация приложений с Docker, оркестрация с Kubernetes, настройка CI/CD. — Написание unit и интеграционных тестов (JUnit, MockK), оптимизация производительности. — Взаимодействие с мобильными и фронтенд-командами по API контрактам, участие в код-ревью. Требования: — Опыт коммерческой backend-разработки на Kotlin от 3 лет. — Глубокие знания Kotlin и практический опыт с Ktor или Spring Boot. — Понимание REST API и опыт работы с PostgreSQL/MySQL и ORM. — Практический опыт с Coroutines, Flow, брокерами сообщений (Kafka, RabbitMQ, Redis). — Знание микросервисов, стратегий кэширования, контейнеризации (Docker, Kubernetes). — Опыт работы с Git, CI/CD инструментами, тестовыми фреймворками (JUnit, MockK, Kotest). — Базовые знания облачных платформ (AWS, GCP, Azure) и лучших практик безопасности. — Сильные навыки решения проблем и умение работать в распределенной команде. — Английский язык на уровне B2 и выше (письменно и устно). Будет плюсом: — Опыт с GraphQL, gRPC, event sourcing/CQRS. — Знания Elasticsearch, serverless, распределенного трейсинга. — Опыт с другими JVM-языками (Java, Scala), потоковой обработкой данных (Kafka Streams, Flink). — Знакомство с поисковыми системами, MLOps, блокчейн-бэкендом. — Вклад в open-source проекты на Kotlin или backend. Условия: — Удаленная работа, полный рабочий день, аутсорс/аутстафф. — Географические ограничения: кандидаты из Египта, Индии, Пакистана и Афганистана не рассматриваются.

Location: Athens The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens. The Wow Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson. Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! Our aim is to create the best performance, functionality and user experience in the iGaming industry! As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value. What's in it for you? You will be involved in all aspects of software development! From design to writing code and unit tests and managing our SQL and NoSQL data models. Even though you are an expert in Backend .NET Development, you will have room to pitch in ideas anywhere needed! You will be working with the latest Tech Stack to create the best performance, functionality and user experience in the industry! You’re good at .NET/C# .NET Core WebAPI SQL Server and NoSQL databases Unit testing frameworks Agile development Collaborating and knowledge sharing Extra awesome Implementing distributed and multi-tier/micro-service systems Experience with cloud computing services (eg. AWS, Azure) Experience with Containerized applications / Docker / Kubernetes Who We Are Betsson Group is one of the largest companies within the Global iGaming space and can trace our heritage as far back as the 1960’s. We’re Swedish and publicly listed too with our Operational HQ located on the Mediterranean Island of Malta. We strive to deliver the best customer experience in the industry. As a market leader within iGaming we offer online gaming products across 12+ jurisdictions and 20+ brands. You will be part of a passionate team, which is building an industry leading, scalable, multi-brand platform used by hundreds of thousands of our customers! What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Challenge Accepted? Check out the Betsson Group Blog to find out what our employees are talking about. By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Budapest The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens. The Wow Much like a rollercoaster, life at Betsson Group is fast-paced, full of twists and turns, and always exciting. With more than 2,800 colleagues representing over 75 nationalities across a global network of offices - including 1,500 at our operational headquarters in Malta - every day brings new challenges and opportunities to grow. It may not be for the faint-hearted, but if you thrive on innovation, enjoy pushing boundaries and want to be part of a diverse, international team, then you’ll fit right in at Betsson. Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! Our aim is to create the best performance, functionality and user experience in the iGaming industry! As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value. You are good at .NET/C# .NET Core Interacting with REST APIs SQL Server, writing queries and tuning performance Communicating in English Agile development Unit testing frameworks Collaborating and knowledge sharing Extra awesome Implementing distributed and multi-tier/micro-service systems Experience with cloud computing services (eg. AWS, Azure) Experience with Containerized applications / Docker / Kubernetes A flavour of what you'll be doing You will be part of an end-to-end agile team with a strong feature focus, consisting of developers, QA engineers and UX specialists. Team members are expected to be involved in all aspects of software development from making sure that the architecture and design is as good as we can make it, to writing code, unit and end-to-end tests and manage our data models. You will work both on designing and implementing new features as well as analyzing the system and improve architecture and technical excellence. What we offer Fitness-wellness allowance 🧗‍♂️ Company mobile phone for private use with 100 GB 📱 Annual HUF devaluation compensation 💡 Hybrid model: 3 days in the office 🏢 & 2 days from home 🏠 Private Health Insurance 🩺 Career development 📈 Technical and soft-skill training opportunities 🎓 Breakfast, fruits & lunch 🍎 Team building events 🥳 Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Malta The Sportsbook Area with Product Development is now hiring! We have a world-class Sportsbook, developed in-house by our dedicated Sportsbook tech team and growing at a very rapid rate, expanding not only in new markets but also as a B2B product. Having our product available in different parts of the world and offering sports all around the world requires to have support around the clock. Our Product Development organisation is truly Global with cross functional teams spanning 5 Tech Hubs. These can be found in Malta, Budapest, Stockholm, Tallinn and Athens. The Wow Our Sportsbook Platform is ours – from our Architecture to our Trading teams – we have an in-house platform which hosts our brands offering Sportsbetting for our customers. From the tools our traders use to the cutting edge features our customers use to bet on various sports – our teams are the backbone to making this happen! Our aim is to create the best performance, functionality and user experience in the iGaming industry! As part of our Sportsbook tech team – a high performance, throughout and availability product serving many brands (20+), you will be key in ensuring that the team delivers the required business value. What’s in it for you? You will be involved in all aspects of software development! From design to writing code and unit tests and managing our SQL and NoSQL This is your chance to be working on a world-leading, high performance, high availability and high throughput multi-brand betting platform. To give you an idea of the data behind our applications, here are some numbers: 10,000 different leagues 1100 matches and 500-600.000 bets on a single Saturday You will join more than 150 agile people distributed across 3 locations, working with a wide variety of technologies from Angular and Typescript to .NET Core, C# and RabbitMQ to AWS. We are working in cross functional teams consisting of architects, developers, QAs, database experts and devops staff. If you’re passionate about the latest technologies and can handle mission-critical responsibilities, then this is the role for you! You’re good at .NET/C# .NET Core Development across a complex microservice environment Message queue systems, e.g. RabbitMQ, Kafka, ServiceBus WebAPI SQL Server and NoSQL databases Unit testing frameworks Agile development Collaborating and knowledge sharing Extra awesome Implementing distributed and multi-tier/micro-service systems Experience with cloud computing services (eg. AWS, Azure) Experience with Containerized applications / Docker / Kubernetes A flavour of what you'll be doing You will be part of an end-to-end agile team with a strong feature focus, consisting of developers, QA engineers and UX specialists. Team members are expected to be involved in all aspects of software development from making sure that the architecture and design is as good as we can make it, to writing code, unit and end-to-end tests and manage our data models. You will work both on designing and implementing new features as well as analyzing the system and improve architecture and technical excellence. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

About the team The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. They build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of internal operations. What you’ll do As an Engineering Lead / Manager in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions at scale. You will mentor and guide others as the team grows. This role is based in Singapore. Responsibilities: 1. Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience. 2. Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities. 3. Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions. 4. Participate in architectural discussions and code reviews, contributing to high-quality engineering standards. 5. Continuously improve system reliability, performance, and scalability. 6. Serve as a technical role model for junior team members and support their technical growth when needed. Who you are Minimum qualifications: 1. Bachelor’s degree in Computer Science or related fields. 2. At least 5+ years of software engineering experience. 3. Strong ability to quickly understand complex business processes and propose effective technical solutions. 4. Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders. 5. Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/TypeScript. 6. Hands-on experience in building scalable, robust automation or workflow systems. 7. Self-driven and proactive in identifying problems and driving improvements. Preferred qualifications: 1. At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead. 2. Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios. 3. Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines). 4. Experience mentoring or guiding junior engineers in a technical capacity. 5. Previous experience working in fintech, payments, or a fast-paced startup environment. 6. Familiarity with compliance, risk control, or onboarding related business domains is a plus.

Location: Stockholm Our Campaigns and Rewards team in Stockholm is growing and we are now looking for a Backend Engineering Team Lead to join! Campaigns and Rewards at Betsson Group ensures our customers come back for more. It’s all about loyalty. We provide a world class customer experience beyond the game play, featuring Tournaments, Dynamic personalized campaigns and much more! The Wow As a Team Lead at Betsson Group , you will lead a team of talented people and take overall responsibility for team performance. As the Team Lead, you will take an active role in driving the delivery of your team and promoting a healthy team spirit and culture. You will also participate as a developer in designing and developing next generation Engagement products for the iGaming industry. A taster of what you will be involved with: People management, mentoring and coaching developers, taking part in recruiting and onboarding, performance reviews, personal development planning and 1-to-1’s. Close collaboration with Product Managers, Architects, and Stakeholders to understand and implement business requirements. Software development according to modern best practices and principles. Taking part in the decision-making process for design or improvement of application architecture, solution development, architecture, and code review. What we are looking for Experience in software development for more than 5 years Experience of managing teams of software engineers Strong leadership and communication skills Agile mindset, business goals orientation Excellent knowledge and experience in C#, .NET Framework, and .NET Core WHAT DOES OUR TECH STACK LOOK LIKE? At Betsson, we pride ourselves on adaptability and keeping up with the latest technologies. Our current tech stack looks like this: C#, .NET Framework, .NET Core, AWS, Kubernetes, Docker PostgreSQL, MSSQL, Redis, Couchbase Apache Kafka, RabbitMQ Prometheus, Loki, Grafana GitHub Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy Please submit your CV in English.

Location: Poland; Slovakia; Slovenia; Georgia; Armenia; Serbia We are looking for a Go Developer to join a team working on regulatory, fiscal, and compliance projects. The role requires a self-sufficient engineer who can understand business requirements, collaborate with analysts and teammates, and deliver stable, production-ready solutions. The customer is a global mobility and urban services platform operating across multiple countries and regions. The platform provides transportation, delivery, and other urban services for a global user base. Responsibilities Review business requirements and validate technical solutions. Contribute to implementation planning. Develop integration services with external providers and public systems. Implement fiscalization and electronic invoicing functionality. Deliver production-ready solutions. Maintain service stability through monitoring, logging, and incident response. Collaborate on regulatory services. Independently deliver integration tasks after onboarding. Requirements Requirements Strong commercial experience with Go, including: Memory management Garbage collection Concurrency Experience building REST APIs. Experience with Kafka for asynchronous messaging. Strong knowledge of MySQL (or another relational database), including: Transactions Indexes Locking mechanisms Experience implementing Redis caching strategies. Experience with Docker and Kubernetes, including Helm. Hands-on experience with CI/CD pipelines (GitLab CI or GitHub Actions). Technology Stack Go REST API Kafka MySQL Redis Docker Kubernetes (Helm) CI/CD

Location: Remote (Global) Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. Lead the engineering org building Fortary's institutional digital asset platform: custody, trading, lending, staking, and treasury management for regulated financial institutions. You'll own the architecture and technical strategy for our distributed MPC custody system, grow the team, and partner with Product, Security, and executive leadership to ship secure, resilient infrastructure at institutional scale. This is a leadership role at the intersection of distributed systems, applied cryptography, and institutional finance. You set technical direction, you're accountable for what ships, and you build the org that ships it. What you'll do - Lead multiple teams delivering Fortary's custody, transaction authorization, key management, wallet infrastructure, and blockchain integrations - Own the architecture and roadmap for the distributed MPC custody platform, including disaster recovery, governance, and transaction policy controls - Partner with Product, Security, BD, and executives to prioritize investments against customer, regulatory, and business needs - Support multiple deployment models: managed platform and licensed software - Ensure engineering practices meet the security, compliance, and governance bar required as Fortary moves toward chartered-institution status - Lead incident response for outages, security events, and key management scenarios - Hire, mentor, and grow engineering managers and senior engineers - Drive adoption of AI-assisted engineering across the org What you'll bring - 10+ years in software engineering, 5+ leading teams shipping production-scale secure distributed systems - Track record owning large-scale, security-critical platforms from architecture through production - Deep expertise in modern cryptography and secure key management: MPC, threshold signatures, TEEs, HSMs - Experience building cloud-native systems (Kubernetes, IaC, CI/CD, observability) with security and resilience as first-order concerns - Fluency in the compliance frameworks for regulated finance: SOC 2, ISO 27001, NIST, AML/KYC, and awareness of the SEC/CFTC/OCC/MiCA landscape - Experience across digital asset infrastructure: custody, trading, staking, treasury, and blockchain settlement - Ability to communicate credibly with executives, institutional customers, auditors, and regulators Bonus - Experience scaling an org toward a chartered or licensed financial entity - Background delivering both managed-service and licensed-software products (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? Ava Labs builds Avalanche, the blockchain platform institutions use to bring finance onchain. Since Avalanche launched in 2020, we have helped exchanges, banks, asset managers and fintechs move from experiments to live products, from tokenized funds and private credit to stablecoin payments and, now, the clearing and settlement ledger for the NYSE’s upcoming tokenized securities platform. Avalanche lets institutions run their own purpose-built networks with the performance, costs and participation controls they need, while staying connected to a broad ecosystem of DeFi protocols, liquidity and developers. We are a team of experts in engineering, finance, economics, product and law, headquartered in New York City. You will work alongside people who have built at leading banks, exchanges and crypto companies, with the scope to shape how capital markets move onchain over the next decade. Ava Labs is backed by investors including Andreessen Horowitz, Polychain Capital and Initialized Capital. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: United States 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 Nebius is hiring a Senior Director of GSI and Regional SI Partnerships to build and scale our global systems integrator program from the ground up. This is an infrastructure-first alliances role: we are looking for a leader who deeply understands AI cloud, inference, and high-performance computing (HPC) infrastructure, and who has a proven track record of turning that infrastructure into services-led, repeatable solutions that partners sell and deliver to enterprise clients worldwide. The strategy is deliberately two-fold. On one side are the marquee, long-tail global systems integrators — the strategic, higher-effort relationships that compound into durable, large-scale revenue over time. On the other are the fast-moving, AI-native systems integrators and emerging AI consultancies — the short-tail, quicker-to-win partners who can source and land opportunities far faster than the traditional GSIs. We need a leader who can build and balance both motions, and who already has the relationships and instincts to activate the AI-native ecosystem quickly. You will own the strategy, architecture, and execution of Nebius's GSI motion globally, while building the regional structure to activate partners across AMER, EMEA, and APJ. You will combine partner strategy, solution and offering development, and hands-on execution, working shoulder-to-shoulder with sales, solution engineering, product, and marketing. This is a builder's role for someone who has operated in fast-moving, high-growth environments and can create frameworks, offerings, and playbooks where none exist. Travel is expected for executive meetings, QBRs, and key industry or partner events. What You'll Do Build the global GSI program and team. Design and own the end-to-end partner framework — segmentation, prioritization, tiering, and engagement model — spanning both marquee global systems integrators and AI-native SIs and stand up the regional operating model to execute it consistently across priority markets. Activate the AI-native SI ecosystem for speed. Identify, recruit, and mobilize fast-moving, AI-native systems integrators and emerging AI consultancies as a short-tail motion that sources and lands opportunities quickly — a deliberate complement to the longer-cycle strategic GSIs. Fit Nebius into partner services — and build new ones. Map how the Nebius platform plugs into each partner's existing service portfolio, and co-build the reference architectures, accelerators, and repeatable offerings that turn it into revenue they can package, sell, and deliver at scale. Develop senior and field relationships. Build durable relationships across GSI sales, cloud/infrastructure, HPC, AI/ML, and industry practices — from practice leads and architects to executive sponsors. Define commercial models. Establish sell-with, resale, co-sell, and managed-service models with the governance, economics, and incentives that make each partnership commercially successful for both sides. Drive joint pipeline and revenue. Map target accounts, run co-sell motions, and secure Nebius inclusion in GSI pursuits to generate material, repeatable, GSI-influenced revenue and consumption. Enable partner technical and sales teams. Build the enablement, certification, and deployment blueprints that make GSI teams self-sufficient on the Nebius platform. Launch joint go-to-market. Partner with marketing on campaigns, events, and thought leadership focused on AI infrastructure and AI cloud. Own the numbers. Track and report GSI-influenced pipeline, revenue, and consumption, holding internal and partner stakeholders accountable to shared goals. What You Bring AI-, infrastructure-, and technology-savvy. Deep, credible fluency across AI cloud and GPU infrastructure, IaaS/PaaS, Kubernetes, and modern AI/ML workloads — enough to earn the trust of partner architects and practice leads, see how Nebius fits into a partner's existing services, and help them build new services around it. A track record building services and solutions with SIs. You've built offerings, practices, and reference solutions around an infrastructure or platform product with systems integrators — not just managed a relationship, but created what partners take to market. A dual network across GSIs and AI-native SIs. You bring existing relationships with both the large strategic GSIs and the emerging, AI-native systems integrators and AI consultancies, and you understand how to work each — landing quick wins through the AI-native ecosystem while building the longer-term strategic partnerships in parallel. Global programs and regional build. Experience running global GSI or alliance programs and standing up the regional structures to execute across multiple geographies, accounting for local partner dynamics, delivery models, and incentives. A builder's mindset. You have created frameworks, offerings, and playbooks from scratch and thrive in early-stage, high-growth environments. Startup or 0-to-1 experience is a strong plus. Product savvy. You understand how infrastructure products are built and positioned, and you can work closely with product teams to shape roadmap and packaging for partner-led motions. Commercial savvy. You can design commercial models, negotiate, and build the economics of partnerships that scale into meaningful, repeatable revenue. Experience. 10+ years in cloud/infrastructure partner management, GSI alliances, or consulting-led enterprise GTM, including senior program leadership. Time at a hyperscaler, GPU/AI cloud, HPC or infrastructure provider, or cloud-native ISV working closely with GSIs is highly valued. Deep SI knowledge. You understand how systems integrators build and run cloud, data, and AI practices — their sales cycles, delivery models, and incentive structures. Why Nebius Be the founding global GSI leader for a high-growth, Nasdaq-listed AI infrastructure company. Direct access to advanced AI builders and enterprise buyers through joint Nebius–GSI engagements. High visibility, executive sponsorship, and the autonomy to design and execute a global GSI program with significant impact on Nebius's growth. Compensation We offer competitive salaries, ranging from 325k - 400k OTE based on your experience. Key employee benefits in the US: #LI-JT1 Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $183,360 — $229,000 USD 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: Home Based - Americas; Home based - EMEA The Workplace Engineering function sits at the intersection of traditional HR analytics and modern Product Engineering. We transform raw workforce data into a suite of "People Products" that drive high performance. We don’t just "report" on what happened; we engineer the tools and insights that determine what happens next. This new role will report directly to the Global Head of Workplace Engineering, and sits within our Data discipline inside of our People department. Experienced data professionals at Canonical live at the intersection of software, data, and the business. They don't just help surface analytic artifacts; they help transform them into a strategic asset that elevates decision making and innovation across our global operations (e.g., sales, marketing, engineering, and human resources). They balance technical precision with business pragmatism, designing and iterating on experiments, automations, and products that transform insights into valued outcomes. They shape tomorrow's AI/Data stack in open source, ensuring that Canonical remains at the forefront of data-driven excellence. Their curiosity is contagious and has an amplifying effect on data literacy and stewardship across the business teams they support. Location: This is a remote role based in the AMER or EMEA Region. The role entails Multi-Disciplinary Leadership:  Lead and mentor a specialized squad of People Data Scientists, Software Engineers, and UX Designers. You aren't just managing analysts; you are leading a product squad. Product Ownership on People Science: Bridge the gap between "HR-speak" and "Dev-speak", ensuring engineers understand the human behavioral intent behind the code. Strategic Insight & Business Outcomes: Move beyond descriptive metrics (e.g., turnover rate) to predictive and prescriptive insights (e.g., predicting attrition risk based on "Time-Product" engagement data). Data Stewardship & Product Storytelling: Act as the "Translator-in-Chief". Take complex data models and turn them into compelling narratives. Lead the development of AI Agents that can surface insights to managers in real-time. Ensure the "People Data Stack" is secure, GDPR/privacy-compliant, and acts as a "Single Source of Truth" across all People related offerings, products and services. “Effectiveness at Work” Strategy: Identify opportunities to leverage “High Tech” solutions in our People offerings, and free up more time for “High Touch”, human involvement, thereby maximizing human value. What we are looking for in you Background in data science, mathematics, or engineering, skilled in advanced statistics, data wrangling/science, databases (SQL, etc.) or software engineering. Strength in coding/scripting languages (Python, R, JavaScript, etc.), software engineering, visualization (e.g. Superset, Tableau), and automation. Ability to translate business questions to key research objectives. Ability to identify the best methodology to execute research, synthesize and analyze findings. Proven ability to lead and drive others to execute against well planned roadmaps, with a strong mentor/coaching mindset. Willingness to examine the status quo and be resilient in the face of challenges. Ambition to build tomorrow's AI/Data stack in open source. An exceptional academic track record from high school and university. Business level written and spoken English. Sincere personal motivation aligned with our mission. International travel 2-4 times a year for company events up to two weeks long. In addition we expect that you will match our values, by being: Precise, taking care to deliver correctness and clarity. Reliable, delivering high quality work that builds trust and confidence. Accessible, collaborating to build products and systems that are usable. Adroit, blending enthusiasm, knowledge, adaptability, style and character. Nice-to-have skills Experience with dbt (Data Build Tool), Airbyte, Ranger, Superset, Temporal, or Trino Basic understanding of containerization technologies such as Docker and Kubernetes Agentic Engineering Product management User experience and design What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We assess performance and revisit compensation twice annually to ensure we recognize outstanding colleagues. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Bi-annual compensation review Company recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Montreal Workplace: remote ABOUT YOU  We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. This is a hybrid embedded role: you remain part of the SRE organization (practices, standards, duty rotation) while being functionally embedded into the Monetization product domain. You'll build long-term working relationships with the domain's engineering teams, own a meaningful share of their application infrastructure execution, and co-author the reliability practices used company-wide. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own the application-level infrastructure of the Monetization domain: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications Benefits We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Criminal History Consideration For the Site Reliability Engineer (Monetization) position, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification Relevance to Job Responsibilities The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Handling infrastructure that processes sensitive financial transactions Ensuring compliance with regulatory requirements Rights Under the Fair Chance Act Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Salary varies depending on experience level and location.

Location: London Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care about each other, about UiPath, and about our larger purpose. Could that be you?   YOUR MISSION UiPath’s Intelligence Document Processing drives understanding of the documents and messages on which a business runs: invoices, claims, contracts, customer emails. We use frontier LLMs to turn all of that into structured data that automations and AI agents can act on. You'll be building the product that does it: the ingestion and extraction pipelines, the APIs customers build their operations on top of, and the systems that make those models useful, fast and trustworthy at enterprise scale. Increasingly that work is agentic. What you build is what lets AI agents ingest, understand, retrieve and reason over enterprise documents at volume, without giving up accuracy, security or governance. It's a product engineering role with complex systems and LLM-in-production problems underneath it. The same service handles a customer's first ten documents and another's ten million, runs in our cloud and inside a bank's own air-gapped datacentre, and has to be good enough that a business will act on its output. Knowing how well the models are actually doing, and what to do when the answer is "not well enough", is a large part of the job. You'll write in several languages here, and pick up new ones as the problem demands. We care much more about how you think than about what you've written it in. We're looking for someone who loves building things, learns fast, and wants to own product outcomes rather than tickets.   WHAT YOU'LL DO AT UIPATH - Work with engineers, product managers and customers to design, build and operate the AI systems behind UiPath's document processing products. - Build across the pipeline: ingestion, parsing and extraction, indexing and retrieval, and the evaluation that tells us any of it is working. - Take features from idea to production and stay with them, measuring whether they actually worked, and improving them when they didn't. - Solve genuinely hard problems in concurrency, latency and distributed systems, so the platform holds up under high-volume production workloads. - Build for environments we don't control: multi-cloud, on-premises, air-gapped, and under strict security and compliance requirements. - Use coding agents as a serious part of your toolkit, and help the team get better at it. Where to trust them, where not to, and how to keep quality high as the tooling changes underneath us. - Work with teams across UiPath and across locations to innovate and build best-in-class document processing, and occasionally with customers directly. Because the fastest way to understand a product is to watch someone use it. - Contribute to our engineering culture: mentor, review, hire, and push back when something isn't good enough.   WHAT YOU'LL BRING TO THE TEAM - A solid track record (5+ years) building and operating large-scale commercial services that real customers depend on. - Strong programming ability and the confidence to pick up whatever language a problem calls for. You'll meet Python, Rust and C# here, but we don't expect you to arrive knowing them all. - Real-world experience with cloud platforms (Azure, AWS or GCP) and containerised deployment on Kubernetes. You understand how production systems get shipped, monitored and scaled, not just written. - Comfort with data at scale: SQL, and the trade-offs between different storage and search systems. - Experience working with coding agents, and opinions about them, What responsible use looks like, where they earn their keep and where they cost you, and how you keep evaluating them in an ecosystem that changes every few months. - An appreciation for tools that catch bugs before runtime — type systems, tests, and designs that make bad states unrepresentable. Especially in the age of coding agents. - A pragmatic grasp of computer science fundamentals. We care about solving real problems with the right data structure, not reciting one from a textbook. - Experience shipping LLM-backed products to production is a strong plus: prompting, evaluation, and everything else that turns a model into a feature people will trust. - Familiarity with document processing is a plus: OCR, layout, and the messy reality of documents as they actually arrive. - An opinion on what makes good code and good architecture, and the ability to argue it, including against us. - You're a builder and a problem-solver at heart. Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Europe Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    About the team   We're a Data team. We gather specialists passionate about data, our mission is to help grow Eneba organization as a data driven decision maker by providing a solid data foundation. We want to foster a healthy data culture across organizations and enable our colleagues to have easier access to necessary data that they require in their day-to-day activities. Our team gathered ML experts who are creating amazing machine learning models. Data analysts provide crucial data insights for teams and data engineers who build cutting edge data pipeline solutions. Responsibilities - Enable efficient data access by creating and maintaining data pipelines. - Collaborate with ML engineers to design and maintain automation for machine learning training, quality assessment, and model release process. - Build data infrastructure from the vast amount of data for analytics, hypothesis testing and company metrics. - Identify, design and implement improvement to internal processes allowing to optimize data delivery, automate manual processes. - Design new and improve current patterns for building data models and implement necessary modifications. Requirements - 5+ years of experience in data engineering or in a similar role. - Extensive experience with Apache Spark using Python for large-scale data processing. - Familiarity with Databricks or similar cloud data platforms (such as Snowflake) would be a significant advantage. - Experience with AWS, Azure, or other Kubernetes platforms is a huge plus. - Must have hands-on expertise with Git for version control and collaboration. - Solid knowledge of SQL, essential for querying and managing relational databases. Salary ranges: 55000-72 000 eur gross annually What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product.  *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are 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 Asset & Earn Team 2 is responsible for building and scaling next-generation earn and lending solutions at one of the world's largest crypto exchanges. As a developer on this team, you will work on Simple Earn, Flash Earn (including Jumpstart), Loan products, and Stablecoin Yield features — powering millions of users' passive income journeys in the crypto ecosystem. What You'll Be Doing: Design and develop high-performance, high-availability backend services for Simple Earn, Flash Earn, and Loan products Build and maintain the Jumpstart subscription and allocation system for new token launches Design and implement backend systems for stablecoin yield distribution and settlement Work closely with Product, Design, Risk, and Quant teams to deliver innovative earn and lending features Participate in on-call production support and incident response to ensure platform stability What We Look For In You: Proficient in AI-assisted development tools such as Codex and Claude Code — mandatory requirement to boost engineering productivity and iteration speed Minimum 3 years of backend development experience in financial or related industries Experience in Microservice/API development with Java / SpringBoot / SpringCloud Strong understanding of multi-threading, concurrency control, and distributed system design, with experience in high-concurrency, high-availability, and high-performance systems Familiarity with mainstream messaging frameworks such as Kafka and caching solutions like Redis Experience with Kubernetes (K8s) for container orchestration and deployment Solid experience with relational databases (MySQL or equivalent) Comfortable in a cloud-based Linux environment with production support capability Basic understanding of finance concepts, particularly earn/deposit, lending/loan, and yield products Fluency in English and Mandarin Business Domain Experience (At least one of the following three is required): Earn & Loan: Hands-on experience building earn or loan products, with understanding of interest accrual, risk control, and liquidity management Stablecoin Yield: Familiarity with stablecoin mechanics (USDT, USDC) and experience developing yield distribution or settlement systems Subscription & Allocation Systems: Experience building token launch, quota allocation, or subscription systems (e.g. Jumpstart-style products) 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 .