Задачи:
— Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций.
— Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе.
— Разработка backend-сервисов и API для сбора, обогащения и запросов данных.
— Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей.
— Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников.
— Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes.
— Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки.
— Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией.
— Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации.
— Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды.
— Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков.
Требования:
— Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами.
— Способность работать самостоятельно в условиях неопределенности и доводить решения до конца.
— Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами.
— Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ.
— Владение одним или несколькими backend-языками: C#, Python, Go, Java.
— Хорошие навыки SQL и опыт работы с реляционными базами данных.
— Практический опыт с Docker и контейнеризацией приложений.
— Понимание основ распределенных систем и облачного дизайна приложений.
— Опыт работы с CI/CD и современными процессами разработки ПО.
— Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета.
Предпочтительный опыт:
— Проектирование и эксплуатация систем на Kubernetes.
— Знакомство с PostgreSQL, MySQL или аналогичными базами данных.
— Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных.
— Опыт работы с облачными платформами GCP или AWS.
— Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии.
— Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры.
Образование и опыт:
— Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт.
— Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.
Задачи:
— Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций.
— Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе.
— Разработка backend-сервисов и API для сбора, обогащения и запросов данных.
— Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей.
— Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников.
— Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes.
— Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки.
— Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией.
— Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации.
— Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды.
— Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков.
Требования:
— Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами.
— Способность работать самостоятельно в условиях неопределенности и доводить решения до конца.
— Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами.
— Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ.
— Владение одним или несколькими backend-языками: C#, Python, Go, Java.
— Хорошие навыки SQL и опыт работы с реляционными базами данных.
— Практический опыт с Docker и контейнеризацией приложений.
— Понимание основ распределенных систем и облачного дизайна приложений.
— Опыт работы с CI/CD и современными процессами разработки ПО.
— Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета.
Предпочтительный опыт:
— Проектирование и эксплуатация систем на Kubernetes.
— Знакомство с PostgreSQL, MySQL или аналогичными базами данных.
— Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных.
— Опыт работы с облачными платформами GCP или AWS.
— Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии.
— Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры.
Образование и опыт:
— Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт.
— Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.
Задачи:
— Архитектура, разработка и поддержка full-stack программных платформ для команд инфраструктуры и операций.
— Ведение технического дизайна систем для обработки и анализа инфраструктурных и операционных данных в масштабе.
— Разработка backend-сервисов и API для сбора, обогащения и запросов данных.
— Создание и поддержка веб-интерфейсов с расширенным поиском и фильтрацией для технических пользователей.
— Проектирование и реализация ETL и конвейеров обработки данных для структурированных и полуструктурированных источников.
— Обеспечение полной контейнеризации приложений и готовности к продакшену с использованием Docker и Kubernetes.
— Выступать техническим авторитетом по вопросам дизайна систем, производительности, надежности и поддержки.
— Сотрудничество с платформенными, инфраструктурными, безопасностными и продуктовыми командами для формирования решений в соответствии с долгосрочной стратегией.
— Установление и поддержание лучших инженерных практик по тестированию, качеству кода, документации и готовности к эксплуатации.
— Ревью дизайнов и кода, предоставление рекомендаций и повышение технического уровня команды.
— Выявление системных проблем, снижение технического долга и улучшение масштабируемости платформы и опыта разработчиков.
Требования:
— Опыт работы на позиции Staff или Senior Full Stack Software Engineer с комплексными производственными системами.
— Способность работать самостоятельно в условиях неопределенности и доводить решения до конца.
— Сильные навыки backend-разработки, включая дизайн API и работу с интенсивными данными сервисами.
— Опыт создания приложений, основанных на данных, включая сбор, трансформацию и анализ.
— Владение одним или несколькими backend-языками: C#, Python, Go, Java.
— Хорошие навыки SQL и опыт работы с реляционными базами данных.
— Практический опыт с Docker и контейнеризацией приложений.
— Понимание основ распределенных систем и облачного дизайна приложений.
— Опыт работы с CI/CD и современными процессами разработки ПО.
— Отличное техническое суждение, коммуникационные навыки и способность влиять без формального авторитета.
Предпочтительный опыт:
— Проектирование и эксплуатация систем на Kubernetes.
— Знакомство с PostgreSQL, MySQL или аналогичными базами данных.
— Опыт работы с ETL-конвейерами, аналитическими платформами или инструментами для операционных данных.
— Опыт работы с облачными платформами GCP или AWS.
— Опыт создания внутренних платформ или инструментов для инфраструктуры, SRE, DevOps или платформенной инженерии.
— Понимание наблюдаемости, оптимизации затрат, надежности и автоматизации инфраструктуры.
Образование и опыт:
— Степень бакалавра в области компьютерных наук или смежной области, либо эквивалентный практический опыт.
— Обычно 10+ лет профессионального опыта в разработке ПО с подтвержденным владением крупными или критическими системами.
Location: Colombia; Mexico; Argentina; Brazil; Costa Rica; El Salvador
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Job Summary
This is a rare 0→1 Founding Engineer opportunity to build a financial platform from the ground up within an already established and profitable ecosystem.
We are looking for an exceptionally strong, hands-on engineer with direct fintech experience who has previously built core banking, payments, ledger, cards, or money-movement infrastructure at an established fintech, neobank, or financial technology company.
This is not a management-first position. We need someone who still wants to architect systems, solve difficult technical problems, and write production code. You will work directly with the founders and an existing technical developer, taking significant ownership of the architecture, product, and technical direction.
As the platform scales, you will also have the opportunity to help shape and build the engineering team around you.
Key Responsibilities
Architect and build core financial infrastructure, including accounts, balances, ledgers, transaction state machines, and money-movement systems.
Build KYC/KYB, onboarding, compliance, permissions, limits, and approval workflows.
Design integrations with banking partners, card issuers, payment rails, FX providers, and other financial infrastructure partners.
Develop provider-independent architecture that supports multiple banking and financial providers without vendor lock-in.
Build secure, reliable APIs and financial data models capable of handling reconciliation, event processing, retries, and exception handling.
Own technical problems end-to-end, from architecture and database design through implementation and production deployment.
Work directly with the founders to translate product requirements and business constraints into scalable technical solutions.
Help establish engineering standards, technology choices, and the long-term technical direction of the platform.
Requirements
3–8+ years of professional software engineering experience with strong backend or full-stack fundamentals.
Direct experience building financial infrastructure within a fintech, neobank, payments company, or similar financial technology environment.
Experience with core banking, payments, ledgers, cards, FX, reconciliation, KYC/KYB, or money movement.
Proven experience building production-grade APIs and distributed systems.
Strong database architecture and data-modeling skills.
Experience with asynchronous workflows, queues, events, retries, idempotency, and transaction processing.
Strong engineering judgment and product instincts, particularly when balancing speed, scalability, reliability, and correctness.
Comfortable operating in a highly ambiguous 0→1 environment and taking significant ownership without requiring extensive direction.
Natural initiative, creativity, and problem-solving ability.
Highly hands-on and excited to continue writing production code rather than moving into a primarily managerial role.
Nice-to-Haves
Experience as a strong individual contributor, early engineer, founding engineer, or technical lead within a high-growth fintech.
Background at companies such as Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, Modern Treasury, or similar.
Deep understanding of financial ledgers, reconciliation, transaction processing, or money-movement architecture.
Experience integrating multiple banking, payment, card, or financial infrastructure providers.
Familiarity with regulatory and compliance requirements surrounding KYC/KYB and international financial services.
Experience building multi-currency, FX, card issuing, or cross-border payments products.
Previous experience helping build a product or engineering function from an early stage.
Benefits
💰 Milestone-based compensation
🌎 Fully remote and flexible work environment
🚀 High-impact founding role with 0→1 ownership
📈 Direct influence over architecture and technical direction
🎯 Opportunity to build on top of an already profitable platform
🛠️ Modern tech stack and provider-agnostic architecture
🧠 Collaborative environment working directly with experienced founders
Location: Romania; Poland; Georgia; Croatia; Bulgaria
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
About the company
Our client is a fast-growing business formation and financial services platform designed to help international entrepreneurs achieve global business freedom. By integrating company setup in major international hubs, residency visas, and corporate banking into one seamless digital experience, the team removes the traditional barriers to cross-border expansion. They provide a comprehensive suite of services—including tax compliance, bookkeeping, and real estate investment—to a diverse client base spanning over 50 countries.
Driven by a mission to provide transparency and speed in a complex regulatory landscape, this team has successfully launched over 1,400 companies and opened thousands of corporate bank accounts. The culture is built on first-hand entrepreneurial experience and a commitment to white-glove service, operating with a remote-friendly, expert-led approach. Candidates will join a high-impact environment focused on scaling innovative solutions that empower founders to build and manage their businesses on their own terms.
Job Type
Full-time
Job Summary
This is a rare 0→1 opportunity to build a high-scale financial platform from the ground up within a profitable, established ecosystem. While most fintechs spend years struggling to find customers, this team already has massive distribution at the point of company formation. We are looking for a hands-on Founding Engineer to bridge the gap between company incorporation and global financial operations by building a neobank-style platform that handles everything from KYC and multi-currency accounts to complex money movement and card issuing. You will own the architecture and technical direction of a product that helps international founders launch and scale their businesses globally.
Key Responsibilities
Architect and build core financial infrastructure including KYC/KYB workflows, ledger systems, and transaction state machines.
Design and implement integrations with regulated banking partners, card issuers, and payment rails (ACH, Wires, FX).
Develop provider-agnostic systems that allow the platform to integrate multiple financial partners without vendor lock-in.
Build robust, secure APIs and data models capable of handling complex reconciliation and event processing.
Manage the full lifecycle of feature development, from initial database schema design to production deployment and internal compliance tooling.
Work directly with the founders to translate product goals into scalable technical solutions and engineering standards.
Requirements
3–8+ years of professional software engineering experience with strong backend or full-stack fundamentals.
Proven track record of building production-grade APIs and distributed systems.
Mastery of database design, data modeling, and asynchronous workflows (queues, events, retries, and idempotency).
A high degree of engineering judgment; you understand when to build for scale and when to optimize for speed.
Exceptional ownership mentality—you are comfortable taking a problem and a goal and figuring out the path to completion independently.
Highly hands-on approach with a desire to write production code daily in a fast-moving, early-stage environment.
Nice-to-Haves
Direct experience in fintech, neobanking, or payments (specifically ledgers, reconciliation, or money movement).
Background at high-growth financial technology companies such as Stripe, Adyen, Airwallex, Brex, or similar infrastructure providers.
Familiarity with the regulatory nuances of KYC/KYB and international banking infrastructure.
Experience building multi-currency or FX-heavy platforms.
Benefits
💰 Milestone-based compensation
🌎 Fully remote and flexible work environment
🚀 High-impact founding role with 0→1 ownership
📈 Direct influence over architecture and technical direction
🎯 Opportunity to build on top of an already profitable platform
🛠️ Modern tech stack and provider-agnostic architecture
🧠 Collaborative environment working directly with experienced founders
Location: South Africa; Pakistan; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Job Summary
This is a rare 0→1 opportunity to build a financial platform from the ground up within an established and profitable ecosystem.
We are looking for a highly hands-on Founding Fintech Engineer – Banking & Payments who has previously built serious financial infrastructure and now wants significantly more ownership.
You will work directly with the founders and alongside an existing technical developer to architect and build a neobank-style platform spanning business onboarding, KYC/KYB, accounts, payments, cards, FX, ledgers, reconciliation, and money movement.
This is not a traditional engineering management position. We are looking for a strong individual contributor or technical lead who remains deeply technical, enjoys writing production code, and is comfortable solving difficult problems without an established playbook.
As one of the earliest engineers on the financial product, you will have substantial influence over architecture, technology choices, financial domain models, provider integrations, engineering standards, and eventually the team built around the platform.
Key Responsibilities
Architect and build core financial infrastructure, including accounts, balances, ledgers, KYC/KYB workflows, transaction state machines, and reconciliation systems.
Design and implement integrations with regulated banking partners, card issuers, payment providers, and payment rails including ACH, wires, international payments, and FX.
Build provider-independent architecture that enables integration with multiple banks and financial infrastructure partners without creating dependency on a single provider.
Develop secure, reliable financial APIs and data models capable of supporting complex transaction and money-movement workflows.
Build asynchronous systems involving queues, events, retries, idempotency, exception handling, and transaction processing.
Develop card issuing and card management integrations alongside multi-currency and FX functionality.
Build internal operations, compliance, permissions, limits, and approval tooling.
Own systems and features end-to-end, from architecture and database design through implementation, testing, deployment, and production operation.
Work directly with the founders to translate business and product requirements into pragmatic technical solutions.
Establish engineering standards and technical foundations that can support the future engineering team.
Take initiative in ambiguous situations and independently identify solutions to complex technical and product problems.
Requirements
3–8+ years of professional software engineering experience with excellent backend or full-stack fundamentals.
Strong hands-on experience building production-grade APIs, backend services, and distributed systems.
Proven experience working on complex systems where reliability, consistency, and data integrity are critical.
Strong database architecture, data modeling, and system design skills.
Experience with asynchronous workflows, including queues, events, retries, idempotency, and failure handling.
Strong engineering judgment and the ability to balance speed, scalability, reliability, and maintainability.
Demonstrated experience owning technical systems or major product areas end-to-end.
Strong product instincts and an ability to translate ambiguous requirements into working software.
Comfortable operating in a fast-moving, early-stage or 0→1 environment.
A natural technical leader who takes initiative without needing a large team or established processes.
Highly hands-on and genuinely excited to continue writing and shipping production code.
Nice-to-Haves
Significant hands-on experience within fintech, neobanking, banking infrastructure, payments, or financial technology.
Experience building core banking, payment, ledger, card, FX, reconciliation, or money-movement infrastructure.
Previous experience as an individual contributor or technical lead at a leading fintech, neobank, payments company, or financial infrastructure provider.
Background at companies similar to Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, or Modern Treasury.
Experience designing financial ledgers, transaction state machines, or reconciliation systems.
Familiarity with KYC/KYB, compliance workflows, and regulated banking integrations.
Experience with card issuing or payment-processing infrastructure.
Experience building multi-currency or FX-heavy financial products.
Experience integrating multiple banking or financial infrastructure providers into a single platform.
Previous experience joining an engineering organization early and helping take a product from 0→1.
Benefits
💰 Milestone-based compensation
🌎 Fully remote and flexible work environment
🚀 High-impact founding role with 0→1 ownership
📈 Direct influence over architecture and technical direction
🎯 Opportunity to build on top of an already profitable platform
🛠️ Modern tech stack and provider-agnostic architecture
🧠 Collaborative environment working directly with experienced founders
Location: Paris; London
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 direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities.
You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements.
This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.
WHAT YOU WILL DO
Operating System & Automation
- Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE.
- Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP.
- Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team.
Value Intelligence & ROI
- Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value.
- Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value.
- Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence.
Processes, Ways of Working & Cross-Functional Collaboration
- Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle
- Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel.
- Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.
WHAT WE'RE LOOKING FOR
- 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering.
- Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution.
- Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities.
- Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities.
- Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments.
- Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems.
- Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions.
- Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges.
- Native-level fluency in English; additional European languages are a plus.
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: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the role
You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked.
Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration.
You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward.
What you'll own
Microsoft Entra ID and Microsoft 365
– Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities.
– Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging.
– Authentication methods policy and phishing-resistant factors.
– Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code).
– App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle.
– SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation.
– Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support.
– Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation.
– Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages.
– Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning.
– Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform.
– Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries.
– Cross-tenant access settings and B2B external collaboration.
Automation
– PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification.
– Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud.
– Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate.
– Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries.
– Automation treated as production code: version control, peer review, documented rollback.
What you'll bring
We care about what you can do, not which products appear on your CV. Concretely, you can:
– Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor.
– Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema.
– Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run.
Experience we expect
– 3+ years administering Microsoft Entra ID in production as a primary responsibility.
– Microsoft 365 tenant: settings, licensing, admin roles, Service Health
– Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC
– Microsoft Defender: threat policies, quarantine, message trace
– Power Platform: environments, DLP connector policies, maker access
– PowerShell: Exchange Online module, Microsoft Graph SDK
– Enterprise applications, app registrations, consent and permission models, automated provisioning.
– Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms.
– Least privilege, secure administration, change management, and the discipline to leave configurations documented.
– Written and spoken English at B2 or higher.
Nice to haves
– SC-300, MS-102, or SC-401 — or equivalent demonstrable expertise.
– Microsoft Entra ID Governance: entitlement management, lifecycle workflows, Privileged Identity Management.
– Microsoft Purview (DLP, retention, eDiscovery), Microsoft Defender for Cloud Apps, or Microsoft Sentinel.
– Google Cloud IAM: projects, roles and policies, service accounts, API access, OAuth credentials.
– Google Cloud workload identity federation, custom roles, organization policy constraints.
– Git, CI/CD practices, Pester, Bicep, or Terraform.
– Access evidence for SOC 2, ISO 27001, or comparable audit cycles.
#
LI
-RK1
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: Remote - Europe
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Your responsibilities will include:
Develop and maintain Python-based API integrations between our HR information system (HRIS) and business systems, including finance, travel, expense management, and recruiting platforms.
Build and maintain cloud-native services, web applications, and containerized workloads on Microsoft Azure.
Implement automation for system workflows, onboarding/offboarding, access-related processes, and data synchronization.
Create and maintain deployment pipelines and Infrastructure-as-Code with Terraform.
Own integrations through implementation, testing, deployment, and production support; respond to alerts and troubleshoot issues across APIs, Azure services, and data sources within agreed SLAs.
Implement safeguards for sensitive employee data, including validation, audit trails, and controls around mass changes.
Work with business stakeholders to clarify requirements and maintain technical documentation as part of each change.
We expect you to have:
3+ years of integration or backend development experience, including hands-on experience deploying and supporting production workloads in Microsoft Azure.
Practical experience with Azure compute and integration services. Our stack includes Azure Functions, App Service, Container Apps, Container Instances, Service Bus, and API Management.
Practical Python development skills, including maintaining and debugging existing services and automations.
Experience integrating REST APIs, webhooks, and Microsoft Graph API, with an understanding of pagination, rate limits, retries, and idempotency.
Experience working with CI/CD pipelines and Terraform for Azure deployments.
Good understanding of OAuth 2.0, Microsoft Entra ID, and managed identities for secure authentication and service-to-service access.
Experience designing and working with relational databases (PostgreSQL, MSSQL, etc.).
Experience with automated testing and diagnosing production issues through logs, monitoring, and alerts.
It will be an added bonus if you have:
Experience integrating HRIS or other business systems, such as ERP, expense management, or recruiting platforms.
Azure certifications (AZ-204, AZ-900, AZ-104).
Hands-on experience with Application Insights and Log Analytics.
Experience using AI-assisted development tools, with the ability to critically evaluate their output.
#LI-RK1
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Amsterdam, Netherlands
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.
Summary:
Location
: Amsterdam
Duration
: 3-6 months
Start date
: January 2027
Compensation
: Paid
Eligibility
: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization
: Permitted to work in the job’s location
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Your responsibilities will include
Operation:
assist in day-to-day SRE operations tasks
Project work:
execute tasks from the backlog
together or instead: work on small and well-defined SRE project from backlog
create tests for their changes/project (if applicable)
write technical documentation about their work
track and update Jira tasks according to their progress
Learning and growth:
actively study system fundamentals: Linux ( networking, cgroups, ebpf, etc.)
learn internal tools, workflows and operational standards
learn container and platform fundamentals: Kubernetes (core architecture and networking), Helm, Terraform
learn configuration management and automation basics
What we expect you to have
demonstrate strong interest and foundational knowledge in cloud providers, operations, networking, hardware, and software
programming experience in any of Python, Go, C++ or Java
basic understanding of the Network (ethernet, ip, tcp/udp, routing fundamentals)
familiarity with Git
basic understanding of containers, Kubernetes and Gitops approach
What we offer
Mentorship from experienced AI, ML, and cloud infrastructure professionals
Hands-on experience with real customer workloads and production systems
Opportunities for professional growth within Nebius
Opportunity to be considered for a full-time role after the Early Talent Program
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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: Shanghai
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences.
We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy.
As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
WHAT ARE WE LOOKING FOR:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proficiency in .NET C#, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment.
- Great communication skills and ability to interact effectively with a wide range of stakeholders
- Experience working in agile environments and delivering high-quality code within tight deadlines
- Excellent problem-solving skills and the ability to work independently as well as part of a team
- Payments or financial knowledge is a plus, but not a necessity
How you’ll make an impact
- Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
- Define and design loosely coupled, scalable systems in a wider microservices using industry best practices.
- Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout.
- Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
- Build, own and operate your systems to the highest levels of resilience and service.
- Mentor junior team members and assist in their technical development
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Remote
We're hiring a Junior Trader to join our trading team. You'll work directly with senior traders across strategies on centralized and decentralized venues, and take on your own responsibilities quickly.
We don't require prior DeFi experience. We do require that you're quantitative, technical, and able to move fast without breaking things.
WHAT YOU'LL DO
- Execute and manage trades across centralized (CEX) and decentralized (DEX) venues — order books, AMM pools, and concentrated liquidity positions.
- Monitor positions, inventory, and P&L in real time. Identify risks early and act on them.
- Build and improve the tooling the desk runs on: position trackers, reporting dashboards, hedging workflows, reconciliation.
- Analyze market and execution data to answer questions that matter — where slippage comes from, which pools are actually profitable, how our fill quality compares to the market.
- Develop real depth in market structure and protocol mechanics (AMMs, PMMs, lending protocols) and bring it back to the desk.
WHAT WE'RE LOOKING FOR
- 0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk.
- Strong quantitative foundation: probability, statistics, and the instinct to reach for data before opinions.
- Python preferred, ideally applied to financial modeling or data analysis (pandas, notebooks, working with messy datasets). Adjacent tooling — R, MATLAB, SQL, serious Excel modeling — counts.
- Real interest in crypto and DeFi. Professional crypto experience isn't required; demonstrated engagement with the space is.
- Sound judgment under pressure. Markets move at 3am and things break. We need someone who stays composed, thinks clearly, and escalates early.
- Precise communicator
- Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment.
NICE TO HAVE
- Personal trading, market-making, or on-chain activity of any kind — a portfolio, a bot, an arbitrage script, a Dune dashboard.
- Familiarity with Solana tooling (Jupiter, Orca, Drift) or EVM DeFi (Uniswap, Aave, Curve).
- Exposure to algorithmic or systematic trading.
- Machine learning or large-scale data analysis (regression, tree-based methods, classification).
- Internships or prior work at a trading firm, market maker, exchange, or protocol.
WHAT YOU'LL GET
- Direct mentorship from traders running real capital — you'll learn by working alongside them, not from a curriculum.
- Responsibility as fast as you can earn it, with clear feedback on where you stand.
- Exposure across the full stack of a trading operation: execution, risk, tooling, counterparty relationships, and market structure.
- A front-row seat as equities, commodities, and crypto converge on-chain.
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
Staff Backend Engineer who blends systems thinking with product pragmatism and a real passion for crypto. You’ll design, maintain, and evolve the backend services and APIs that connect Phantom Cash to blockchains. You understand both client-server architecture and blockchain protocols, and you know how to balance reliability, quality, and speed. You communicate clearly across pods, document rigorously, and elevate the engineering bar through execution and mentorship. Your work will make Phantom Cash feel dependable, seamless, and ready to scale.
QUALIFICATIONS
- Bachelors degree in Computer Science or related technical field or equivalent practical experience
- Pragmatic engineering mindset, focuses on results and user impact, not abstract purity.
- Proactive and outcome-oriented: anticipates problems, pushes features to completion without waiting for perfect specs.
- Strong communicator and pragmatic problem solver - explains complexity simply, favors progress over perfection.
- Node.js / NestJS at scale; event-driven design (queues, retries, idempotency).
- REST API architecture: versioning, pagination, error models, authentication, rate-limiting.
- Full-stack awareness: understands trade-offs of state management (client vs server) and latency budgets.
- Distributed-systems fundamentals: concurrency, ordering, retries, data consistency.
NICE TO HAVE
- Kubernetes + AWS ops; CI/CD; observability; on-call ownership.
- Deep interest in crypto - keeps up with ecosystem changes, wallets, protocols, and security norms.
- Previous hands-on experience in crypto or fintech (exchanges, wallets, payment rails, ledgers).
- Smart-contract and protocol understanding: knows how on-chain programs interact with off-chain services.
- Blockchain integration experience — Solana preferred, EVM acceptable.
- Has shipped high-quality products in mature, high-bar engineering organizations.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: Paris; Amsterdam; Linz; Munich; London; Berlin
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
Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams.
You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards.
Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution.
This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one.
WHAT YOU WILL DO
- Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale
- Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need
- Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks
- Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations
- Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research
WHAT WE'RE LOOKING FOR
- PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field
- Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role
- You have developed ML methods for simulation or surrogate modelling
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences
- Self-directed, you don't need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
- Demonstrated success through industrial projects, academic work, or personal projects
IT WOULD BE GREAT IF YOU
- Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent)
- Have experience automating large-scale simulation campaigns on HPC clusters
- Have contributed to a large open-source or industry codebase
- Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.)
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: Paris; Palo Alto; Amsterdam; Linz; Munich; London; Berlin
Workplace: Hybrid
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 TEAM
You will join the AI4Engineering Science team, the Mistral research group that builds the data and evaluation infrastructure and owns the SFT/RL processes for AI4Engineering that teach our frontier LLMs to do real engineering work. The agentic engineering group works alongside the Physics AI research in the wider Science organisation.
This seat sits in the agentic CAD stream. Together with the Solutions and Applied teams, the group carries this work into customer projects with industrial partners in automotive, aerospace, semiconductors, and beyond.
THE ROLE
Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can do for computer-aided design. Your focus is a single mission: teaching Mistral's LLMs to generate, analyze, and modify CAD designs the way an expert design engineer would.
Your core work is building the pre- and post-training data for Mistral's LLMs to reason about and execute real CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and modification of existing designs. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold - a rare position, and the core of the job.
Alongside this, you will help shape the agent architectures and harnesses that let these models operate reliably inside multi-step CAD workflows, driving CAD tools through APIs or computer use across the whole design loop.
This is early-stage work, and that's the point: you are joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There is no inherited playbook; you will help define what good looks like, and your work will set the direction the CAD stream builds on rather than extend an existing one.
WHAT YOU WILL DO
- Design pretraining, SFT, and RL data for CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and design modification
- Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for CAD tasks
- Scale the data pipelines that produce agentic CAD training traces
- Design and improve agent architectures and harnesses: how models plan, call CAD tools via API or computer use, recover from errors, and chain steps together across long-horizon design workflows
- Build and maintain CAD evaluation benchmarks and diagnostic tooling, from parametric CAD and drawing-to-3D benchmarks to industrial evaluations, identifying where models fail and tracing those failures back to gaps in data, reward design, or agent scaffolding
- Collaborate with CAD domain experts and the CAE and EDA streams (and the science and solutions teams more broadly) to identify which CAD workflows are highest-value to target next
- Contribute to Mistral's broader pre- and post-training research, sharing findings and methodology across the science organization
WHAT WE'RE LOOKING FOR
- Deep, hands-on machine learning expertise, particularly LLM development: you have built LLM training pipelines (SFT, RL, fine-tuning, GRPO), demonstrated in publications or shipped systems rather than CV claims
- Demonstrated hands-on CAD experience: you have designed, scripted, or automated real CAD workflows in tools such as SolidWorks, CATIA, Siemens NX, FreeCAD, or CADQuery, ideally with CAD-kernel grounding (OpenCASCADE, build123d)
- Fluent English with excellent communication skills: you can explain technical ML and CAD concepts to both engineering and non-technical audiences
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Self-directed: you do not need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of CAD and ML
It would be great if you:
- Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks)
- Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training
- Have first-author publications or open-source benchmark work in agentic CAD or CAD-ML, such as CAD generation benchmarks or RL/GRPO fine-tuning of vision-language models for CAD
- Have contributed to a large open-source or industry codebase
- Have publications in engineering and ML venues (NeurIPS, ICLR, ICCV, SIGGRAPH, JFM, AIAA, etc.)
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: Milan, Italy; Biassono, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide.
Our Tech-Stack
We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack:
- Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation.
- Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React.
- Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native.
- Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.
THE DAY-TO-DAY 🛠️
- Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack.
- Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes.
- Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions.
- Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output.
- Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams.
- Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results.
- Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.
YOUR SUPERPOWERS ⚡
- Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues.
- Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency.
- AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output.
- Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing.
- DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices.
- Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs.
- Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: Béthune, Pas-de-Calais, France
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.
New data center development:
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
The role
We are looking for a
Lead Warehouse Logistics Specialist
to oversee and coordinate all warehouse and logistics operations for data center hardware. This role ensures that inbound/outbound shipments, inventory accuracy, and equipment provisioning meet operational standards. This position implies full accountability for the logistics function, people management, cross-department coordination, and risk management, as well as developing long-term improvements to support business growth.
Your responsibilities will include:
1. Warehouse & Shipment Management
Ensure timely and accurate processing of inbound and outbound shipments.
Establish and maintain SOPs for shipping and material handling.
Oversee packaging standards for equipment.
Handle escalations with warehouse operations.
Identify bottlenecks and optimize warehouse workflows.
Identify opportunities for process and tools improvement.
2. Inventory & Asset Control
Lead cyclical and annual inventory checks across all warehouse and external storage locations.
Guarantee data accuracy in the inventory system (ERP, WMS).
Assets creation process supervision.
Analyze inventory discrepancies and implement preventive measures.
3. Team Management
Lead and mentor a logistics team.
Distribute tasks, monitor performance, and conduct onboarding process.
Act as escalation point for operational and staffing issues.
Resource mangement (internal + outsource)
4. Stakeholder Communication
Act as primary logistics contact for data center engineers, project managers, and procurement teams.
Manage relationships with relevant partners.
5. Risk Management
Assess and mitigate risks related to logistics operations, including equipment damage, delays and theft.
Establish safety protocols in handling heavy, fragile equipment.
Perform root-cause analysis of logistics incidents and implement corrective actions.
Coordinate with data center operations and security teams to align risk management practices.
We expect you to have:
5+ years in warehouse/logistics operations, preferably in IT hardware or data centers.
Proven leadership experience (managing people and processes).
Strong knowledge of shipping standards and inventory systems.
Analytical mindset with ability to drive continuous improvement.
Excellent communication and stakeholder management skills.
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: Paris; Amsterdam; Singapore; London; Lausanne
Workplace: Hybrid
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.
ROLE SUMMARY
As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints.
This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others.
Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply.
WHAT YOU WILL DO
- Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”.
- Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
- Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.
- Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.
- Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale)
- Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …)
- Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.
ABOUT YOU
- Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).
- Hands‑on experience with PyTorch, JAX, or similar.
- Strong systems and infrastructure fundamentals.
- Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines.
- Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).
- Clear communication with technical and non‑technical stakeholders.
- High agency, low ego, and comfort in fast‑moving, under‑specified environments.
NICE TO HAVE
- Distributed training experience (FSDP, DeepSpeed, Megatron, etc.).
- Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).
- Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines.
- Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.
- Open‑source contributions, publications, or widely used internal tooling.
- Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets.
- Ability to identify bottlenecks across the stack and drive improvements from first principles.
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.
УдалённоseniorБолгария, Венгрия
УдалённоseniorБолгария, Венгрия
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Paris; London; 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
УдалённоRemote - Europe
УдалённоRemote - Europe
Amsterdam, Netherlands
ОфисseniorShanghai
Удалённоjunior0–3 years of experience — recent graduates with strong technical credentials, or candidates from quant research, engineering, data, or markets-adjacent roles looking to move onto a trading desk; Self-directed and adaptable; comfortable operating with autonomy across time zones in a remote-first environment
УдалённоseniorWe strongly encourage candidates of all backgrounds to apply
Paris; Amsterdam; Linz; Munich; London; Berlin; 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
ГибридParis; Palo Alto; Amsterdam; Linz; Munich; London; Berlin; 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
ГибридMilan, Italy; Biassono, Italy
leadBéthune, Pas-de-Calais, France
ГибридParis; Amsterdam; Singapore; London; Lausanne; 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
