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Location: United States MEMX is seeking a Software Engineer with a strong passion for data and experience in business intelligence tools to join our regulatory software engineering team. In this role, you will design, develop, and maintain data pipelines, integrate data from various sources, and transform it into meaningful insights. This role requires a combination of strong Java programming skills and experience with Business Intelligence (BI) tools, data processing, and data integration. MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, & Utah. *If you live outside of the above states, please list in your application and our team will evaluate. What You'll Do Design, build, and optimize data pipelines and workflows to process, clean, and transform data using Java Work with various data sources (SQL, NoSQL, cloud data storage) and build integrations to unify data for reporting and analytics Work closely with tech lead/product management to understand data needs, build dashboards, and develop automated reporting solutions Design and optimize storage solutions for structured and unstructured data, enhancing data retrieval and performance for BI purposes Maintain comprehensive documentation of processes, code, and data flows. Follow best practices in code design and deployment to production Requirements Strong proficiency in Java (Java 8+ preferred) with a focus on data-related frameworks and libraries Experience in handling large datasets, including data cleaning, transformation, and aggregation techniques Proficiency in working with SQL and NoSQL databases and an understanding of database design principles Familiarity with BI tools like Tableau, Power BI, or Looker to create and manage reports and visualizations Experience working with cloud platforms for data storage and processing is a plus Strong analytical and problem-solving skills to derive insights from data and enhance data processing workflows Preferred Qualifications Familiarity with Python or Java for data processing Understanding of data modeling and data warehousing concepts Experience with REST APIs and microservices architecture Knowledge of version control tools like Git and CI/CD pipelines Benefits At MEMX you will have the ability to work with a talented team of professionals who bring diversity of thought and background. You will have the opportunity to shape the future of our company and the impact MEMX will have on our clients and the broader markets. We offer competitive employee benefits and perks and will continue to make this a priority to attract the best. Work From Home Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited Paid Time Off Generous Paid Family Leave Short Term & Long-Term Disability Training & Development Wellness Resources Pay Range: $120,000 - $150,000 *Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. Protecting our members’ data and ensuring our systems scale securely and reliably is core to this mission.   The Application Infrastructure team enables iOS, Android, Backend, and Web engineers to reliably and quickly deliver new features to members. We own and operate critical shared infrastructure, including Kubernetes and Kafka, and build the tooling and guardrails that allow teams across WHOOP to ship safely at high velocity.   As a Senior Platform Engineer on the AppInfra team, you will play a key role in driving large-scale architecture projects, collaborating with cross-functional teams to design and implement infrastructure that is highly scalable, resilient, and secure. You will build systems that help increase the safety of deployments to Kubernetes while also increasing the velocity of releasing new features. You will be responsible for ensuring optimal performance and stability for the entire software delivery pipeline. You will help set the direction of the AppInfra team to impact engineers across all WHOOP technology stacks.   RESPONSIBILITIES - Design, develop, and operate WHOOP’s Kubernetes clusters running on AWS infrastructure - Drive architectural decisions to improve scalability, resiliency, performance, and security across the build and deployment platform - Build systems and tooling that increase deployment safety and accelerate release velocity to Kubernetes - Advance CI/CD capabilities to support frequent, reliable production deployments - Lead developer productivity improvements through tooling, automation, and platform integrations - Partner with application, security, and data teams to embed secure-by-default infrastructure practices - Participate in incident response, root cause analysis, and postmortems to continuously improve platform reliability - Mentor and provide technical leadership to engineers on the Application Infrastructure team - Help define and execute the long-term roadmap for infrastructure and Kubernetes management at WHOOP QUALIFICATIONS: - 5+ years of experience in DevOps, Platform, Site Reliability, CloudEngineering, or Backend Software Engineering roles - Deep understanding of Kubernetes architecture and core components - Strong knowledge of container networking concepts, including overlay networking, service meshes, and network policies - Experience with multi-cluster Kubernetes environments and inter-cluster communication patterns - Hands-on experience operating cloud infrastructure, preferably in AWS (e.g., IAM, VPC, EC2, S3, RDS, CloudTrail, Organizations) - Hands-on experience with Infrastructure as Code tools (e.g. Terraform) - Experience developing backend or infrastructure-adjacent services using Java, C#, or Python - Proven ability to evaluate system performance, identify bottlenecks, and use data to drive improvements - Experience collaborating with multiple stakeholders and prioritizing work for maximum business impact BONUS QUALIFICATIONS: - Experience operating Kafka or other large-scale distributed systems - Experience with Kubernetes security best practices, including RBAC, secrets management, and pod security standards - Exposure to service reliability practices such as SLOs, SLIs, and error budgets - Prior experience supporting compliance or security-focused infrastructure initiatives ABOUT YOU: - You bring a security-first mindset to everything you build and operate - You enjoy working on infrastructure that enables hundreds of engineers to move faster - You’re comfortable operating in complex, high-scale production environments - You enjoy teaching, mentoring, and raising the technical bar for those around you - You’re curious, adaptable, and excited to learn across a wide range of systems and technologies Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Задачи: — Участвовать в создании сети агентов для реализации шагов дата-процесса; — Настраивать мониторинг реализации практик DataGov; — Реализовывать интеграции с платформой работы с данными MWS Data и платформой интеграций MWS OctApi; — Разрабатывать backend-сервисы на Python для управления метаданными, контроля качества данных и оркестрации дата-процессов; — Проектировать и поддерживать API для взаимодействия с продуктовыми командами; — Тестировать реализованные сервисы, готовить техническую документацию; — Взаимодействовать с продуктовыми командами в рамках их обучения работе с сервисами DataGov; — Участвовать в код-ревью и совершенствовании архитектуры решений. Требования: — Опыт коммерческой разработки на Python от 3 лет; — Опыт работы с LLM и API OpenAI от 1 года; — Практический опыт проектирования и реализации AI-агентов с использованием LangChain/LangGraph; — Уверенное владение Docker и Docker Compose, опыт запуска приложений в production-среде; — Опыт настройки и поддержки CI/CD pipelines; — Знание принципов работы с базами данных (SQL и NoSQL); — Опыт работы с Git (branching-стратегии, code review); — Понимание принципов микросервисной архитектуры и REST API; — Опыт работы с Linux (терминал, базовое администрирование); — Умение писать чистый, поддерживаемый код и покрывать его тестами; — Готовность работать в команде, инициативность и внимательность к деталям.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Director, Support Engineering for our Bengaluru Center of Support, you'll build and manage GitLab's India-based regional support hub as a strategic peer to our Americas and Europe, Middle East, and Africa hubs. Reporting to the Vice President of Support Engineering, you'll own the hub's organizational design, headcount growth, management infrastructure, and operating standards while building a healthy team that delivers enterprise-grade technical support across Asia-Pacific and Europe, Middle East, and Africa time zones. This remote-friendly role is based in Bengaluru, India. What you’ll do Design and build the Bengaluru hub's organizational structure, including specialist and management roles, customer and product segmentation, and shift coverage models. Establish the management infrastructure, operating rhythms, escalation frameworks, and quality standards needed to support sustainable headcount growth. Manage hiring and retention in partnership with Talent Acquisition, including role profiles, interview panels, offer selections, career paths, internal mobility, recognition, and team culture. Develop managers and support engineers, set clear performance expectations, provide transparent feedback, and create pathways into global Support Engineering management roles. Own performance against service-level targets, customer satisfaction, ticket quality, resolution metrics, and transparent reporting against global key performance indicators. Implement local escalation workflows, Request for Help integration, and shift handoff protocols across the Asia-Pacific, Europe, Middle East, and Africa, and Americas support hubs. Guide the hub's use of GitLab's artificial intelligence toolchain and partner with Support Operations and Strategy on tooling, analytics, and process automation. Work with regional Support Engineering managers, Product, Engineering, and the Vice President of Support Engineering on global strategy, customer insights, operating plans, headcount models, and the Support Engineering roadmap. What you’ll bring Experience managing technical support engineering or a closely related customer-facing technical function, including through a manager-of-managers structure. A record of building or significantly scaling a support organization, including organizational design, hiring infrastructure, onboarding, and team culture. Experience establishing a global delivery hub or Center of Support and coordinating service delivery across regions and time zones. Deep knowledge of supporting enterprise software as a service, including managing service-level obligations, tiered support models, escalation frameworks, and operational metrics. Experience working in a distributed environment that combines asynchronous and synchronous collaboration, with clear written and verbal communication. Familiarity with AI-assisted support tooling and experience introducing new tools or automation at scale. Demonstrated ability to retain and develop technical team members in a dynamic hiring market. Knowledge of DevSecOps platforms, continuous integration and continuous delivery tooling, Kubernetes, or cloud-native infrastructure, along with experience using support platforms such as Zendesk, Salesforce, Decagon, or equivalent tools. Experience with GitLab as a user, administrator, or customer is helpful. About the team The GitLab Support Engineering team is distributed across the Americas, Europe, Middle East, and Africa, and Asia-Pacific. Support engineers and managers work on tickets and help GitLab's customers. We also examine code and logs to find root causes. We solve complex problems collectively, participate in pairing sessions and one-on-ones, and stay in communication across time zones through deliberate asynchronous work habits. Support is where customers meet GitLab, and we take that seriously. Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. The Fortune 100 claim is based on GitLab data and refers to the top 20% of companies ranked in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited aren't affiliated with and don't endorse GitLab products or services. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Разработка и внедрение стратегии тестирования для сложной микросервисной архитектуры. — Организация и контроль качества всех видов тестирования: интеграционного, регрессионного, системного, приемочного и smoke-тестирования. — Лидерство QA-направления в команде: планирование тестирования, распределение задач, контроль качества deliverables. — Глубокое тестирование REST API (Postman, Swagger), включая сложную валидацию данных через SQL-запросы (PostgreSQL). — Анализ сетевого трафика (Charles/Fiddler) и мониторинга (Prometheus/Grafana) для быстрой локализации дефектов. — Аудит и ревью требований, технической документации на противоречия, пробелы и тестопригодность. — Создание и поддержание тестовой документации (Test Plan, Check-list’ы, отчеты) в Confluence. — Менторство и развитие QA-инженеров, проведение code review автотестов и тест-кейсов. — Взаимодействие с разработкой, Product Owner и другими стейкхолдерами по вопросам качества продукта. — Постоянное улучшение QA-процессов, внедрение лучших практик и метрик качества. — Участие в оценке рисков и планировании спринтов/релизов. Требования: — Опыт работы в QA от 5 лет, из них минимум 2 года на позиции Lead QA / Senior QA с опытом лидерства. — Опыт тестирования сложных распределённых микросервисных систем. — Отличное владение техниками тест-дизайна и risk-based testing. — Продвинутое владение SQL (сложные JOIN, оконные функции, агрегации, оптимизация запросов). — Глубокие практические навыки работы с DevTools, Postman, Swagger. — Опыт построения и поддержки тестовой документации (Test Strategy, Test Plans). — Сильные навыки менторства и развития junior/middle QA-инженеров. — Глубокое понимание SDLC, Agile/Scrum/Kanban, CI/CD. — Развитые soft skills: лидерство, системное мышление, проактивность, навыки коммуникации и влияния. Будет большим плюсом: — Опыт нагрузочного тестирования (JMeter или аналоги). — Работа с ELK Stack, Grafana или другими системами логирования. — Опыт внедрения тестовой автоматизации на проекте. — Знание принципов Performance и Security testing. Условия: — Формат работы: удаленно — Часовой пояс: MSK

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. OUR MISSION At Humanoid we strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. ABOUT THE ROLE As a Research Engineer on the World Models team, you will build action-conditioned generative models that predict how the world evolves around our robots — future video, proprioception, contacts, and outcomes — from past observations and actions. World models serve four purposes in our stack: a pretrained, physics-aware prior for our VLA policies; an engine for rare data collection, cross-platform transfer, and sim-to-real transfer; a testbed for policy evaluation and testing before hardware; and a future-prediction rollout engine that surfaces what our policies intend to do, for safety and planning. This is a hands-on individual contributor role: you will design architectures, run large training jobs, and validate your models against real fleet data from industrial deployments. WHAT YOU'LL DO - Design and train multimodal world models — video, state, action, and language — using diffusion-based and transformer architectures. - Build action-conditioned video prediction and dynamics models that stay physically consistent over long horizons, including contact-rich manipulation, and serve as pretrained priors for VLA policies. - Develop learned-simulator evaluation: score candidate policies offline, predict real-world success rates before deployment, and roll out policy futures to expose intended behaviour for safety review and planning. - Generate synthetic rollouts and counterfactual experience — including rare events, cross-platform transfer, and sim-to-real transfer — to augment policy training, and measure their effect on downstream task performance. - Establish fidelity metrics and calibration protocols that quantify where the world model can be trusted and where it diverges from reality. - Build data pipelines that turn fleet telemetry, teleoperation logs, and internet-scale video into training corpora for world models. - Run scaling and ablation studies on architecture, data mixture, and context length; communicate findings crisply. - Collaborate with pretraining, RL, and manipulation teams to integrate world models into policy training and evaluation loops. WHAT WE'RE LOOKING FOR - A track record of training large generative models — video, world, or multimodal — with shipped models or published artifacts to show for it. - Deep hands-on experience with modern generative architectures: diffusion models, autoregressive transformers, latent-variable models, or video prediction. - Experience with large-scale distributed training: streaming datasets, checkpointing and state management, debugging numerics and training instabilities. - Strong Python + PyTorch/JAX; you can profile kernels, optimize data loaders, and write maintainable research code. - Empirical rigor: you design careful evaluations, run honest baselines, and document experiments clearly. - Excitement about grounding generative models in physical reality rather than pixels alone. NICE TO HAVE - Experience with world models for robotics or autonomous driving (e.g., action-conditioned video models, learned simulators, model-based RL). - Familiarity with robotics simulators (Isaac Sim, MuJoCo) and sim-to-real considerations. - Experience using world models for policy evaluation or synthetic data generation at scale. - Publications at top-tier deep learning conferences (NeurIPS, ICML, ICLR, CoRL, CVPR) or equivalent open-source contributions. - Experience optimizing generative models for fast inference. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Reinforcement Learning Engineer to join our Autonomy team based in London. In this role you will leverage reinforcement learning in both simulation and physical reality to build highly performant and robust manipulation policies. WHAT YOU'LL DO - Train language-vision conditioned manipulation policies via reinforcement learning (RL) in simulation and in the real world. - Construct challenging and diverse suites of manipulation tasks in simulation. - Partner with teleoperations to collect trajectories in simulation for behavior cloning. - Partner with testing and operations to establish real-world RL training pipelines. - Experiment with various ways of bringing policies trained in simulation to the real world. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience solving real problems using reinforcement learning with deep neural networks in any domain. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - You are self-driven, pro-active, communicate efficiently, document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Experience with simulators for robotics (Isaac Sim, MuJoCo etc.) - Experience in RL for robotics. - Experience building infrastructure for large-scale RL (e.g. using ray). - Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Hong Kong, Hong Kong SAR About the OKX Card Team The OKX Card Team builds the payment infrastructure connecting digital assets to global commerce. Partnering with major card networks like Visa and Mastercard, we power the OKX crypto card platform. Our team handles the full card lifecycle and payment stack—from instant issuance and real-time transaction authorization (Auth) to settlement, ledger management, and card growth engines. We also actively embrace AI-assisted development to build fast, scale cleanly, and maximize engineering velocity. Key Responsibilities - Core Card Services: Develop and maintain reliable backend microservices in Java for card issuing, authorization pipelines, and settlement clearing. - Workflow Orchestration: Utilize Temporal to manage complex, multi-step transaction lifecycles and resilient distributed state machines. - Data & Ledgers: Design and optimize SQL schemas and queries to ensure exactness and speed across high-concurrency transaction ledgers. - AI-Enhanced Velocity: Integrate modern AI development tools into your daily workflow to speed up coding, unit testing, and problem-solving. - Growth & Features: Deliver features for promotional campaigns, rewards, and card lifecycle management to support user growth. Qualifications - Technical Core: 1–3 years of backend engineering experience proficient in Java (Spring Boot) and relational databases via SQL. - Workflow Management: Direct experience or solid understanding of distributed workflow tools like Temporal (or Cadence). - Card & Fintech Domain: Strong background in Fintech with a solid grasp of card transaction mechanics (Visa/Mastercard networks, Auth, clearing, and issuing workflows). - AI Tooling Mindset: Proactive in using AI development tools (e.g., Copilot, AI assistants) to boost output and maintain high code quality. - Soft Skills: Highly self-driven, quick learner, and excited to build secure financial products. Nice to Have - Experience working directly with Card Issuing processors or Payment Service Providers (PSPs). - Broad understanding of Web3 concepts or crypto-to-fiat conversion flows. - Exposure to cloud-native stacks (Docker, Kubernetes, AWS/GCP). 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 .

Задачи: — Разработка и проектирование модулей финансового ядра и интеграционных шлюзов; — Реализация webhook-обработки и интеграция сервисов в рамках event-driven архитектуры; — Разработка BPMN-процессов на базе Camunda; — Эпизодическое участие в закрытии небольших задач по фронтенд-части (~15% от общего объема задач). Требования: — От 6 лет коммерческого опыта разработки на Kotlin или Java (Spring Boot) с глубокими знаниями REST API, JPA / Hibernate, механизмов управления транзакциями; — Базовое понимание современного frontend-стека (React / Angular) на уровне готовности исправить или дополнить интерфейс без глубокой экспертизы; — Уверенное владение PostgreSQL (проектирование запросов, проведение миграций, оптимизация индексов, работа с JSONB); — Опыт проектирования REST API с учетом версионирования, обработки ошибок и обеспечения идемпотентности; — Практический опыт интеграции систем авторизации (Okta / OAuth2 / OpenID Connect); — Опыт работы с Git, настройки пайплайнов CI/CD; — AI-first подход: активное и осознанное использование ИИ-инструментов в разработке (Cursor, Codex, Claude Code) для оптимизации процессов; — Высокая автономность, проактивность и готовность работать в горизонтальной структуре. Будет плюсом: — Опыт работы в финтех-проектах или платежных системах (понимание принципов двойной записи, ledger, settlement, reconciliation); — Практический опыт работы с Camunda / BPMN. Условия: — Стабильный контракт B2B с фиксацией дохода в валюте ($5000 – $8000 gross); — Полное отсутствие бюрократии, прямое взаимодействие с техническим руководством компании; — Возможность удаленной работы из любой страны внутри Еврозоны; — Профессиональная свобода в принятии архитектурных решений на ранних этапах продукта.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a VLA Pre-training Engineer to join our Autonomy team based in London. In this role you will you will work on all aspects of training capable policies, be it pre-training of a base model on a diverse multi-embodiment corpus of trajectories, fine-tuning a policy to perform a specific task well, curating data collection processes or exploring productive ways to generate and use synthetic data. This is primarily a deep learning-focused role, so we are looking for experience solving real problems using modern neural networks, while experience in robotics isn’t strictly required. However if you don’t have such experience, be prepared that you’d need to familiarize yourself with a new domain quickly.   WHAT YOU'LL DO - Post-train policies via behaviour cloning and RL; own the full loop from data to deployment. - Partner with the Data Collection team to drive collecting new data: specify what good data looks like, identify failure modes, ensure diversity and coverage. - Work closely with external partners to ensure steady supply of high-quality pretraining-scale data. - Run pre-/mid-/post-training on VLA stack; explore new modalities and architecture changes. - Build and maintain continuous pipelines: ingest synthetic data and teleop logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining. - Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. WHAT WE'RE LOOKING FOR - 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it. - Deep hands‑on experience with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference. - Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies. - Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code. - Familiarity with modern software engineering practices. - You document experiments clearly and communicate trade‑offs crisply. NICE TO HAVE - Robotics or autonomous driving experience. - Experience applying RL to LLMs or robotics. - Experience with VLA (vision-language-action) models. - Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization). - Publications at top-tier deep learning conferences or equivalent open‑source contributions. - Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open source VLA frameworks. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.

Location: Remote - Ireland Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Software Engineer. About the job This position will be part of a team of talented engineers within our Commerce Platform Team, who build services and products that operate at a massive scale. This platform is central to Twilio's core business as it is responsible for managing the billing lifecycle and payment experience for our customers, while also acting as a gateway for discovering and selling our products. Billing is going through a transformational journey, and we are introducing new and exciting capabilities. The engineer in this role will be part of a team that focuses on the control plane, billing experience and account lifecycle management. The successful candidate will design, build, and operate core billing platform services that help transition our platform and our customers to the next generation architecture. These services work for all Twilio customers, regardless of their scale and billing complexity. The ideal candidate will build high-quality, innovative and fully performing software that complies with high levels of coding standards and technical design. This is to build and integrate services that continuously improve our ability to provide products to customers while simultaneously delivering industry leading availability. We do this by leveraging technologies that include AWS cloud infrastructure and APIs, Apache Kafka, Rest APIs (OpenAPI compliance), while also building our own services. Responsibilities In this role, you’ll: Improve your knowledge of highly available and scalable distributed systems and use this knowledge to build new features into our platform. Design, implement, and operate both new features on our current services as well as new services that will be built from scratch. Leverage your excellent communication and written skills to articulate the "why" of the solution you are proposing, and have a good understanding of your team’s priorities and the customer impact. Troubleshoot and fix operational issues and have the opportunity to improve the troubleshooting procedures and tools. Execute full software development life cycle (SDLC). Develop flowcharts and documentation to identify solutions. Write well-designed, testable code. Document and maintain software functionality. Troubleshoot, debug and upgrade existing systems. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! As a Commerce Platform engineer, you will design and build core platform services, REST APIs and take part in transitioning our platform to next generation architecture. We run on AWS cloud infrastructure and use AWS cloud data store, EKS, Glue, Kafka, Aurora RDS etc. *Required: 5+  years of work experience building highly scalable products. 5+ years of programming experience in object-oriented language  (Java or similar) with clean code practices. Expert knowledge in Object-Oriented Programming with a successful track record. Experience contributing to architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. Experience working closely with our Product team to understand requirements and help to define technical work for the team. Experience working with stakeholders at all levels - be able to dive into the nuts-and-bolts of how things work as needed. Experience with relational and non-relational databases. Experience delivering high levels of observability and proficiency in improving early warning systems, for example: has worked with Grafana/DataDog/Prometheus. Collaborating with internal/external teams/engineers and fostering an inclusive environment, where all points of view are welcomed and encouraged. Own and lead multiple domains of the platform (microservices, REST APIs, infrastructure) from inception to deployment and maintenance, while making best in class technical decisions that impact the success of the company. Familiarity in Cloud Solutions, AWS, Kubernetes/EKS, CI/CD pipelines, Testing & Automation. Self driven - you take complete ownership of your tasks and champion efforts to get your tasks to completion. Clear written and spoken communication skills. Degree in Computer Science or a related field, or equivalent work experience. Desired: Experience with on-call support for mission-critical customer systems. Experience optimizing and debugging complex SQL queries. Experience working on customer-facing applications. Good debugging skills on production systems. Proficient in Linux and containerization with Kubernetes. Nice to have skills: gRPC, Python, Typescript, React, Apache Kafka. Location This role will be remote, and based in Ireland. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Limassol; Nicosia Workplace: hybrid The Role:  Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals? We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production. The main responsibilities of the position include: Lead the design, development, and delivery of high-impact data science and machine learning solutions. Translate complex business challenges into structured analytical approaches and scalable data products. Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability. Contribute to technical decisions and best practices across the data science lifecycle. Review and validate data preparation, feature engineering, model selection, experimentation, and documentation. Support the deployment and operationalization of machine learning models in batch and real-time environments. Present analytical insights and recommendations to technical and non-technical stakeholders. Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards. Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management. Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions. Contribute to improving team processes, technical standards, and project delivery methodologies. Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives. Main requirements: University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field. At least 5 years of experience in a similar role. Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis. Strong Python programming skills with the ability to write clean, maintainable, and production-ready code. Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs) . Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly . Good knowledge of SQL and statistical analysis. Excellent analytical thinking and problem-solving skills. High attention to detail and commitment to delivering high-quality solutions. Strong communication skills with the ability to explain technical concepts to non-technical audiences. Excellent verbal and written communication skills in English. A collaborative mindset, curiosity, and a passion for continuous learning. What would be considered as an advantage: Exposure to Natural Language Processing (NLP). Experience working with NoSQL databases. Knowledge of software engineering best practices. Experience working in Unix/Linux environments. Basic understanding of AWS services and cloud-based machine learning environments. Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Poland Workplace: remote Overview Join a global team shaping next‑generation Generative AI used by millions. We’re seeking detail‑oriented Ukrainian professionals based in Poland to review and annotate multilingual and multimodal content, helping train high‑quality AI systems.   Location: Remote, Poland ContractType: Freelance (Contract) Compensation: $10/hour What You’ll Do Review, evaluate, and annotate AI-generated outputs across text, image, audio, and video Perform quality checks for accuracy, consistency, and compliance with project guidelines Flag edge cases, errors, and areas for improvement in model outputs and instructions Create and refine high‑quality datasets to train and validate advanced AI models Participate in calibration sessions and quality alignment activities Provide clear feedback to improve workflows, tools, and annotation guidelines Requirements: Native‑level proficiency in Ukrainian Strong written communication skills in English Exceptional attention to detail and analytical thinking Proven experience in annotation, content review, quality assurance, data labeling, localization, or related fields Ability to work independently, follow detailed guidelines, and meet deadlines Based in Poland and able to work remotely Preferred Qualifications Experience with multilingual or multimedia content (text, images, audio, video) Familiarity with annotation platforms and productivity tools (e.g., task trackers, spreadsheets) Background in AI/ML data operations, content moderation, or linguistic QA What We Offer Short-term, focused engagement with immediate impact on real-world AI products Flexible remote work within Poland Clear guidelines, training materials, and ongoing support from project leads How to Apply Submit your CV (English preferred) highlighting relevant annotation, QA, or localization experience Confirm your location (Poland), availability for the 2‑week period, and hourly rate acceptance ($10/hour) If available, share examples of previous annotation or QA projects (non-confidential) Equal Opportunity We welcome applicants from all backgrounds and are committed to a fair, inclusive selection process. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.    About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a high-energy, results-driven Senior Field Marketing Manager to join our Field Marketing team, reporting to the VP, Experiential Marketing. In this role, you will own and scale Garner's field marketing strategy across the western region of the US, designing and executing the in-person programs that build the sales pipeline and accelerate revenue with the audiences who shape where companies send their healthcare dollars: benefits consultants and brokers, HR Benefits leaders, and our strategic partners. This is a high-ownership role for a self-starter. You will run the full program lifecycle, from strategy and sales alignment through execution and pipeline attribution, and you will be accountable for the pipeline those programs generate. Through your efforts, you will directly influence Garner's growth in priority markets and accounts, and help define a repeatable field marketing engine that scales with the company. Where you will work: This role is fully remote and does not require relocation to our NYC headquarters. Because of the significant travel this role requires, you must be based in the Mountain or Pacific time zone and live near a major airport . You should expect up to 50% travel to run events and programs. What you will do: Own the end-to-end strategy, planning, and execution of field programs across the western region of the US, including executive dinners, roundtables, workshops, conferences, and roadshows that engage benefits consultants, brokers, and HR Benefits leaders Build and manage a regional field marketing calendar in close partnership with sales leadership and demand generation, prioritizing the markets, accounts, and formats that will most move pipeline and accelerate deals Own pipeline targets tied to field marketing, and design pre-event, day-of, and post-event engagement strategies that maximize registration-to-attendance conversion and sales follow-through Partner hand-in-hand with sales and BDR teams to build targeted invite lists and drive strong attendance from priority accounts and partners Manage sponsorships, venue and vendor relationships, speakers, and third-party event investments end to end, with a bias toward efficiency and measurable outcomes Track and report on program ROI, pipeline sourced and influenced, and engagement metrics, and bring field insights back to the broader marketing team to sharpen campaigns and messaging Build scalable, repeatable playbooks for field programs that can be replicated across regions, segments, and partners Bring an AI-first mindset to everything you do, using AI to build efficiency, consistency, and collaboration into how field programs are planned and run; Garner is enabling our teams on Claude Code, and you will be expected to put it to work The ideal candidate has: 5-7 years of field marketing experience, including prior field marketing experience at a technology company, with a proven track record of driving pipeline through field programs.; you think in terms of pipeline and revenue, not just attendance (Healthcare, benefits, or HR-tech audience experience is a plus) A highly self-directed, execution-oriented mindset; you consistently deliver quality results on complex programs, create the workflows, standards, and tools the function runs on, and move fast without waiting to be told what to do Strong prioritization and project management skills, with the ability to optimize across speed, cost, and quality and juggle multiple programs, regions, and stakeholders at once without losing the objective Excellent stakeholder skills; you build strong relationships and communicate concisely and compellingly, equally effective influencing sales leaders and collaborating with marketing peers, vendors, and external partners A solid command of the data; you interpret program metrics and pipeline KPIs, extract the signal from the noise, and use it to prioritize the markets and accounts that matter most Comfort with the event and marketing tech stack (Salesforce, HubSpot, Swoogo, or similar), and a continuous drive to improve ROI through better tools, automation, and process Experience using AI to work smarter is strongly preferred; you look for ways to automate the repetitive, raise quality, and scale your impact, and you are eager to grow these skills with us; comfort with Claude Code specifically is a significant plus A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The base salary range for this position is $127,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Software Engineer, Network Automation - Data Center Fabrics, you will help design and build systems for operating large-scale networks within our data centers. You will apply deep networking expertise to leaf-spine architecture, automation, testing, and production troubleshooting across Ethernet switching, IP routing, BGP, EVPN/VXLAN, and VRFs. This is a hands-on role for a networking expert who is also comfortable building production software. Go and Kubernetes experience are helpful but not required; strong engineering fundamentals and network automation experience matter more. WHAT YOU WILL DO - Design and evolve leaf-spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi-tenant AI infrastructure. - Translate data-center fabric requirements and safety properties into clear APIs, data models, validation, and automation. - Build reliable control-plane software that reconciles desired and observed network state. - Design safe change workflows with validation, dry runs, atomic updates, observability, and failure recovery. - Integrate with data-center switch operating systems and management APIs while maintaining vendor-neutral abstractions where practical. - Participate in the on-call rotation, troubleshoot active data-center network incidents, restore service, and turn root causes into lasting improvements. - Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization. - Develop lab and production tests and turn operational lessons into better software and architecture. WHAT WE’RE LOOKING FOR - Deep hands-on experience with Ethernet switching, IP routing, BGP-based leaf-spine fabrics, EVPN/VXLAN, and VRF-based multitenancy. - Strong judgment around fabric underlay and overlay design, scale, convergence, isolation, and failure modes. - Experience building or operating production network automation, including desired state, idempotency, concurrency, observability, and recovery. - Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. - Experience with southbound network APIs and structured configuration, such as REST, gNMI/OpenConfig, or NETCONF. - Hands-on experience with major data-center network operating systems, such as Cumulus Linux, Arista EOS, SONiC, Junos, or NX-OS. - Strong diagnostic skills using routing and EVPN state, packet captures, counters, telemetry, and logs. - Clear, pragmatic communication and a collaborative approach to technical leadership. NICE TO HAVE - Experience reading, reviewing, or contributing to Go code. - Familiarity with Kubernetes controllers, operators, CRDs, reconciliation, or Kubebuilder. - Experience with physical or simulated network labs such as containerlab, NVIDIA Air, EVE-NG, GNS3, or similar environments. - Experience with high-performance Ethernet, RoCE, InfiniBand, HPC, or large-scale GPU infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Argentina Remote Workplace: Remote ABOUT THE TEAM At Mural, we're changing how teams collaborate, think, and make decisions together. The Growth & Engagement team helps customers discover value through intuitive product experiences, rapid experimentation, and emerging AI capabilities that make collaboration more effective. We own key parts of the customer journey - from acquisition and onboarding to activation, engagement, retention, and monetization - and use data, experimentation, and customer insights to continuously improve those experiences. We're a cross-functional team of engineers, product managers, designers, and data partners who move quickly, measure outcomes, and learn from every experiment. We value curiosity, collaboration, and thoughtful technical craftsmanship, building systems that enable rapid iteration while maintaining a high bar for quality, reliability, and scalability.   YOUR MISSION  As a Senior Software Engineer on the Growth & Engagement team, you'll build the products, platforms, and experimentation capabilities that help customers discover value faster and achieve more with our product. You'll partner closely with Product, Design, Data, and other Engineering teams to identify opportunities, validate ideas through experimentation, and deliver experiences that improve customer outcomes and drive sustainable business growth. Beyond shipping features, you'll help shape the technical direction of the team, mentor other engineers, and establish engineering practices that enable us to experiment confidently and move quickly. WHAT YOU'LL DO - Design, build, and maintain customer-facing features that improve acquisition, activation, engagement, retention, and monetization. - Collaborate closely with Product, Design, Data, Marketing, and Customer Success to identify growth opportunities and translate customer feedback, product analytics, and experimentation to guide product decisions. - Design, implement, and analyze experiments using feature flags, A/B testing, and analytics to validate hypotheses and measure customer and business impact. - Build reliable instrumentation and event pipelines that help teams understand customer behavior and make informed product decisions. - Write high-quality, maintainable code while contributing to architecture, technical design, and long-term platform improvements. - Improve the performance, reliability, accessibility, and scalability of critical user journeys. - Mentor teammates through technical leadership, code reviews, design discussions, and knowledge sharing. - Contribute to roadmap planning, technical strategy, and continuous improvement of the team's engineering practices.  WHAT YOU'LL BRING -  5+ years of professional experience as a Software Engineer building and operating production software. - Strong proficiency building modern web applications. Experience with TypeScript, React, Node.js, and MongoDB or similar technologies, with the ability to become productive quickly. - Familiarity with Model Context Protocol (MCP) and the broader AI tooling ecosystem and the ability to quickly learn emerging AI technologies. - Experience leveraging AI-assisted development tools and workflows to improve engineering productivity, code quality, and delivery. - Experience building customer-facing products in close partnership with Product and Design teams. - A product mindset with the ability to balance customer needs, technical tradeoffs, and business goals. - Experience using analytics and data to inform engineering and product decisions. - Strong software engineering fundamentals, including system design, testing, observability, and operational excellence. - Excellent communication and collaboration skills, with the ability to influence technical decisions across cross-functional teams. - A track record of taking ownership of ambiguous problems, driving projects from concept to delivery, and mentoring other engineers. - Experience working on a Growth/Engagement team or in a product engineering role focused on experimentation and customer lifecycle improvements. - Experience working with business metrics such as activation, engagement, retention, conversion, and monetization to inform product and engineering decisions. - Experience designing, implementing, or analyzing product experiments (A/B testing, feature flagging, or similar experimentation frameworks). Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. EQUAL OPPORTUNITY  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Location: Brussels; Rome; Zug; Porto; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Lisbon; Tallinn; London OR Brussels; Rotterdam; Krakow; Zagreb Workplace: Remote RUST ENGINEER - TRADING SYSTEMS ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 200 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. MISSION STATEMENT We are seeking a Senior Rust Engineer with deep trading systems experience and strong AWS knowledge to join our core Capital Markets division. Candidates with a passion for the Rust ecosystem and a proven track record designing, building, and operating mission-critical trading systems will be at a significant advantage. As part of the engineering team in Capital Markets, you will take ownership of high-impact trading infrastructure, set technical direction in your domain, and drive continuous improvement in system performance, reliability, and operability. You will join a highly-profitable, fast-paced division within Keyrock, where you will be expected to make a senior individual-contributor impact while collaborating with a global, fully-remote team. This role is open to candidates located in European time zones. JOB DESCRIPTION - Design, develop, and optimise low-latency, mission-critical trading systems - Own key trading stack components end-to-end — from architecture through to production operation - Collaborate closely with quants, traders, and engineers to deliver solutions that improve trading performance and resilience - Maintain and evolve trading infrastructure with a focus on performance, stability, observability, and operational excellence - Troubleshoot complex production issues across exchange connectivity, execution, and market data handling - Drive engineering standards through technical leadership, code reviews, and mentoring - Embrace agentic engineering principles: leverage AI-assisted workflows, drive automation of operational tasks, and help evolve the team's agentic tooling - Contribute to functional, component, and production-readiness testing for critical trading components BACKGROUND AND EXPERIENCE TECHNICAL SKILLS - Production-grade Rust experience building high-performance, concurrent systems; proficiency with Tokio is a strong advantage - Hands-on experience in a systematic trading environment (HFT, Market Making, Quantitative Trading, or similar), with solid understanding of execution, market data, and operational risk - Strong AWS and Linux expertise, including cloud infrastructure trade-offs for latency-sensitive workloads, shell scripting, debugging, and production troubleshooting - Proficiency in Python or other scripting languages for strategy development, automation, and operational tooling - Deep familiarity with trading system protocols (FIX, REST, WebSocket), exchange connectivity, and market data feeds - Solid grasp of low-latency networking: TCP/UDP, packet and latency path analysis, dedicated network infrastructure, and kernel bypass techniques (DPDK) - Familiarity with agentic engineering tools and concepts: LLMs, MCP APIs, AI-First IDEs (e.g. Cursor, Claude Code), harness engineering, and workflow automation - Ability to make sound architectural decisions, articulate trade-offs clearly, and guide implementation across complex systems SENIORITY & COMPETENCIES - Ownership & Reliability – Take full responsibility for your work. Deliver high-quality service, meet deadlines, and follow through on commitments. Anticipate and proactively address potential issues before they arise. - Initiative & Problem-Solving – Approach challenges with a problem-solving entrepreneurial mindset. Make sound, independent judgments and take the initiative to drive solutions rather than waiting for instructions. - Operational Diligence – Respond strategically to technical and operational challenges, ensuring robust and reliable trading infrastructure while instilling confidence in the team’s processes. - Technical Leadership – Influence system design, raise engineering standards, mentor other engineers, and help the team make pragmatic, high-quality technical decisions. - Curiosity & Growth Mindset – Continuously seek to improve your technical skills and knowledge. Stay ahead of industry trends and take the initiative to practice and explore new technologies that excite you. - Agentic Engineering – Embrace AI-assisted workflows and autonomous agents, pushing the boundaries of what engineering teams can achieve through intelligent automation. - Excellent Communication Skills with a team player mindset, collaborating within a fully remote global team. OUR RECRUITMENT PHILOSOPHY We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A senior engineer and crypto enthusiast who’s driven, collaborative, acts with ownership, raises the bar for others, and delivers solid, scalable outcomes. OUR OFFER - A competitive salary package - Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely - The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. https://keyrock.com/careers/

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We are seeking a Senior Developer on our Open Source Team, focused on strengthening 1Password's open source posture and making our developer tools easy to use directly inside developers' workflows through agentic IDE integrations: our Agent Hooks and IDE plugins. You'll serve as a technical leader on the team, owning architectural decisions and driving cohesive execution on medium-to-large projects, from initial planning through development and into customer support. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Significant professional software development experience, with a track record of independently owning and delivering medium-to-large technical projects end to end. - Advanced, hands-on command of a modern development toolchain (Git, IDEs, terminal, debugging and testing tools) and the languages relevant to the team's work; comfortable reading, writing, and reviewing others' code. - Experience designing extensible, maintainable systems, ideally developer tooling, IDE extensions, agent integrations, or actively maintained open source projects. - Demonstrated ability to set technical direction and make architectural decisions that keep products scalable, secure, and high quality. - A track record of working effectively in public, engaging with external contributors and upholding a high quality bar in community-facing repositories. - Interest in agent-assisted development and building tools to make agent-assisted development smoother and more secure. - Excellent written and verbal communication skills, with the ability to make a project's impact and progress visible to engineering, product, and design stakeholders. - A security-minded approach consistent with 1Password's principles. Bonus points for: - Experience maintaining a popular open source project or running open source community engagement. - Familiarity with AI-enabled or agentic IDEs (e.g., Cursor) and the emerging agent-hook ecosystem. - Experience contributing to an Open Source Program Office (OSPO) or similar function. What you can expect: - Contribute large new features, significant product improvements, and critical bug fixes, such as extending our Agent Hooks across IDEs or building genuine in-IDE value beyond links to external docs. - Make architectural decisions that keep our integrations and public repositories scalable, secure, and aligned to 1Password's existing security and authentication models. - Contribute to the team's roadmap by identifying technical opportunities and risks up to ~6 months out, then lead execution aligned to team objectives. - Raise the quality bar by identifying lapses in code quality and gaps in testing coverage, anticipating and reporting potential problems, and fostering a high standard of documentation across community-facing repositories. - Ensure alignment with cross-functional partners (Partnerships, Product, UX, and the SDK/CLI teams), translating requirements into actionable work. - Drive initiatives that better support 1Password customers on your platform and mitigate issues developers face. - Contribute to a positive, collaborative team environment by modeling best practices, providing constructive feedback, and supporting a sense of shared ownership. USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.