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Location: New York 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 Role   We are seeking passionate and skilled software engineers to join our new team in NYC. As a Backend Engineer, you’ll contribute to the development of the core systems powering our three main products, AI Studio, Le Chat & Mistral Code, shaping how users and developers interact with our AI platform at scale. You’ll work on building reliable, high-performance backend systems and APIs that serve millions of users and developers. Your work will directly impact the developer and user experience, making it more engaging, efficient, and intuitive. We welcome engineers from mid-level to senior and staff engineers who are eager to learn, collaborate and ship impactful products.   What You Will Do   Depending on your skills and field of expertise, you will be involved in key components of our technology, including:   Backend Development - Design, develop and maintain scalable, robust backend features and APIs using modern frameworks. - Ensure high performance and reliability across our distributed systems. - Contribute to systems powering inference, billing, AI tooling, observability, and developer experience. System Architecture - Design and implement efficient, secure and scalable architectures that support our fast-growing products. - Collaborate with infrastructure teams on deployment, monitoring, and performance optimization. Code Quality - Write clean, maintainable and well-documented code. - Participate in code reviews and contribute to technical standards and best practices. Cross-functional Collaboration - Collaborate with product managers, platform engineers, and AI/ML teams to design, build, and deliver scalable model-as-a-service solutions for developers and enterprise users. - Partner with teams across AI Studio, Le Chat & Mistral Code to ensure consistent platform-wide experience. Problem-Solving & Innovation - Tackle complex engineering challenges, from distributed systems to AI product integration. - Stay up-to-date with new technologies (e.g., AI/LLM integration, observability, or backend frameworks) and bring them into production when relevant.   What We're Looking For   • Degree in Computer Science, Software Engineering, or equivalent practical experience. • Proficiency in Python or another backend language (Golang, Kotlin, C#). Engineers are assessed in their preferred language during a live coding session. • Strong understanding of backend fundamentals: APIs, databases, caching, messaging systems and distributed architectures. • Strong problem-solving abilities and attention to detail. • Ownership mindset capable of shipping end-to-end features with minimal oversight. • Excellent communication skills and collaborative attitude. • Team-oriented, low-ego mindset and curiosity for learning.   Now, it would be ideal if you had experience with: • Full-stack exposure • Working closely with an API & developer ecosystem • Deploying software to a diverse set of environments (cloud, on-premises, etc.) • Infrastructure management (Docker, CI/CD, Kubernetes, Helm, Terraform...) • AI/ML engineering • Observability and monitoring tools (Prometheus, Grafana, Datadog…). • UX and product-centric mindset.   Hiring Process   • Introduction call - 30 min • Live-coding interview - 45 min • System Design interview - 45 min • Hiring Manager interview - 30 min • Deep Dive Interview (only for leads & staff engineers) - 60 min • Culture-fit discussion - 30 min • Reference checks   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.

Обязанности: — Объединить наблюдаемость и эксплуатацию для легаси и нового стека в единый стандарт; — Построить рабочий алертинг с приоритизацией и эскалациями, чтобы снизить шум и ускорить реакцию; — Запустить стабильный процесс инцидент менеджмента: triage, роли, коммуникации, пост мортем, контроль действий после аварий; — Поставить дежурства 24/7 с понятной ротацией и runbooks; — Обеспечить безопасную поэтапную миграцию к GitOps без просадки SLA. Требования: — Опыт в роли Senior SRE/DevOps; — Опыт работы в продакшн средах с гибридом Bare metal и Kubernetes; — Умение строить observability: метрики, логи, SLI/SLO, алертинг по сервисным сигналам; — Опыт ведения инцидентов как Incident Commander и проведения RCA; — Опыт настройки дежурств, runbooks и операционных процессов; — Сильные Linux и сетевые навыки, понимание edge/DNS/TLS/LB; — Умение работать кросс-функционально и доводить изменения до эксплуатационного результата. Требования по стеку: Linux, Kubernetes, Helm, Prometheus/VictoriaMetrics, Grafana, CI/CD, IaC, GitOps-практики (ArgoCD/Flux как целевая модель), SRE-методики: SLI/SLO, error budgets, incident response, postmortem culture. Будет плюсом: — Опыт с игровыми или realtime системами; — Опыт эксплуатации PostgreSQL и RabbitMQ, включая backup/restore drills; — Опыт с Cloudflare, DNS/CDN и multi-region routing; — Автоматизация SRE-задач на Python/Go/Bash; — Опыт chaos/game day практик. Условия: — Удаленная работа из любого гео в ±3 часах от МСК или гибрид из офиса в Казани; — Открыты к разным форматам оформления; — Гибкое начало рабочего дня, 5 дополнительных выходных в год; — Баланс между перфомансом и здоровым ворк-лайф балансом; — Возможности для развития, инициативы и профессионального роста.

Location: Remote (Peru) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in Peru. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance.  We are seeking a Senior AI Researcher to join our Foundation AI team. This team builds the multimodal foundation models that underpin WHOOP’s next generation of intelligent, personalized, and health-enhancing experiences. These models integrate data across wearable sensors, language, biomarkers, clinical information, and self-reported inputs to create scalable AI systems that understand human physiology and behavior. In this role, you’ll serve as a senior individual contributor driving the research, development, and deployment of large-scale multimodal models. You’ll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: - Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers, and behavioral data. - Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP’s core model capabilities. - Develop scalable, distributed training pipelines for large models on high-performance compute environments. - Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. - Partner with product and research teams to translate foundation model capabilities into downstream features that deliver meaningful member value. - Contribute to the technical roadmap and architectural direction for foundation model development at WHOOP. - Ensure models adhere to WHOOP’s standards for ethical, transparent, and privacy-preserving AI. QUALIFICATIONS: - Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, Electrical Engineering, or a related field, or equivalent professional experience. - 7+ years of experience in applied ML, AI research, or large-scale modeling, with a track record of delivering production systems. - Expertise in modern deep learning (e.g., transformers, state space models), multimodal model training.  - Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow).  - Familiarity with training models on  mulit-node, multi-gpu distributed compute environments.  - Familiarity with best practices for data, model, and context parallelisms. - Strong applied experience with representation learning, self-supervised methods, and post-training for downstream applications. - Experience with reinforcement learning for post-training foundation models (PPO, DPO, GRPO etc.).  - Familiarity with MLOps best practices including model versioning, evaluation, CI/CD for ML, and cloud-based compute. - Excellent communication skills and ability to collaborate cross-functionally with engineers, researchers, and product teams. - Passion for WHOOP’s mission to improve human performance and extend healthspan through science and technology.   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 $190,000 - $230,000. 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.

Location: Mexico Company Background Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia. Project Description The role is focused on developing and modernizing real-time DSP serving services that process bid requests, deliver ads, integrate with third-party platforms, and record measurement events used for reporting and billing. The team works on high-throughput, low-latency systems processing millions of requests per second, with a strong focus on availability, data correctness, performance tuning, and scaling the platform for future growth. Current initiatives include splitting a monolith into microservices, improving deployment automation, and moving measurement pipelines from batch processing to real-time streaming with Kafka. Technologies Java Kafka / Kinesis Redis S3 Tomcat Docker, K8S Git, CI/CD What You'll Do Develop critical high-performance, large-scale services for DSP programmatic integrations and platform products; Work closely with the Product team to understand business needs and translate product requirements into technical solutions; Write clean, efficient, and production-ready code with a strong focus on high throughput and low latency; Design, develop, test, and improve new and existing platform features; Contribute to building large-scale distributed systems processing billions of transactions per day under strict SLAs; Improve test coverage, monitoring coverage, automation, and overall system observability; Follow Agile methodologies and work in a fast-paced engineering environment with quick delivery cycles; Job Requirements 5+ years of commercial experience in Java backend development, with a focus on scalable backend systems; Strong knowledge of the JVM ecosystem, including garbage collection, profiling, and performance tuning; Experience with distributed REST APIs, fault tolerance, scalability, consistency, and resilience; Hands-on experience with low-latency and high-throughput services; Experience with real-time streaming pipelines using Kafka, Kinesis, or similar technologies; Strong knowledge of data structures and algorithms; Experience with web/application servers such as Tomcat; Solid understanding of networking and load balancing concepts; Production experience with Docker and Kubernetes; Experience with Git and CI/CD pipelines, such as GitLab CI/CD or similar tools; Interest in applying modern technologies and AI-assisted development tools; Readiness to participate in PagerDuty rotation (1 week per quarter); Strong verbal and written communication skills, including the ability to explain complex technical trade-offs to both technical and non-technical stakeholders; English: B2 or higher; Nice To Have Prior experience in the AdTech industry; Familiarity with Python or Scala; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Senior Technical Account Manager, you’ll be the named technical owner for the mission-critical workload that anchors a strategic enterprise customer’s Vercel relationship, across a portfolio of concurrent accounts. You’ll work as a peer to customers’ VPs of Engineering and CTOs, take over the post-sales technical relationship from the Solutions Architect through a structured handover, and coordinate every Vercel team on the account, including Support, Engineering, Product, and Sales. Customers buy this engagement, so success is measured by renewal: your proactive architecture and cost work should be worth more than what the customer pays for it. The role has no on-call rotation, no production code, and no sales quota. This is a hybrid role with 3 in-office days per week in San Francisco, New York City, or Austin. What you’ll do Own the post-sales technical relationship for a portfolio of enterprise accounts, running weekly calls, monthly and quarterly business reviews, and an annual roadmap workshop Co-own each account with the Account Executive: you own the technical relationship and the technical case for renewal Take ownership of escalated incidents and recurring patterns, driving post-mortems, root-cause analysis, and remediation roadmaps, and respond to P1 and P2 escalations within 4 business hours Run proactive architecture reviews, technical risk mapping, cost and usage optimization, and pre-launch readiness assessments Scope and coordinate Forward Deployed Engineering, audits, workshops, and Professional Services projects on your accounts, and relay customer needs to Product and Engineering What you need 5+ years in a customer-facing technical role at a platform, infrastructure, or developer tools company (TAM, Solutions Architect, Developer Success, Field Engineer, or technical consultant), owning strategic customer relationships including QBRs and renewals Ran a technical platform at scale in a customer-facing role, with fluency in CI/CD pipelines, preview environments, release mechanics, and cost and performance patterns Production architecture experience on AWS, GCP, or Azure Ramped quickly on an unfamiliar technical product and earned customer trust Can write a one-page executive summary of a complex technical situation for customer leadership Willing to travel 4 to 8 times per year to customer offices, generally in-region Bonus if you Worked as a Technical Account Manager at a hyperscaler, infrastructure platform, or developer tools company Built AI agents with the Vercel AI SDK, MCP servers, or similar frameworks Run an annual roadmap workshop or Well-Architected Review-style engagement with an enterprise customer The San Francisco, CA base pay range for this role is $163,000-$204,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Limassol Cyprus Workplace: OnSite Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our product: We are currently working on Total Battle — an MMO 4X strategy game with a deep political system and lots of player interaction. Players take on the role of a commander and need to develop their city, forge alliances, fight against monsters, and conquer other players. We're constantly developing new game mechanics, and the project is continuing to grow.   We are looking for a Senior Backend Developer to join the Framework Team building tools used by fellow engineers and powering game services across the company. You will work with modern C++ (17/20), asynchronous systems, network communications (S2S), high-load services, and distributed architectures.   WHAT DO WE DO: - Design and develop core SDK/framework modules with clean abstractions to enable simple, fast, and high-quality game logic development. - Gather requirements and design APIs, protocols, and service-to-service interaction contracts. - Build asynchronous and multithreaded code with high performance in mind. - Work with S2S communications: idempotency, transactions, and guaranteed delivery in distributed systems. - Design and evolve ORM and data persistence layers (PostgreSQL, Redis). - Ensure scalability, stability, and fault tolerance of backend services. - Work with legacy code—simplify, refactor, and increase reliability without downtime or production risks. - Implement observability: metrics, logs, tracing. - Improve developer tools and DevEx — CMake, Conan, Python tooling, CI/CD scripts, Docker. - Participate in code reviews, architectural discussions, mentoring, and R&D exploration.   WHAT WE EXPECT: - Ability to gather requirements, design solutions, break down work, and deliver to production independently. - 3+ years of backend development experience on a statically typed language under Linux. - 3+ years of commercial experience with C++17/20. - Strong knowledge of asynchrony and multithreading (threads, futures, coroutines, atomics). - Understanding of network communication (REST/RPC (gRPC), HTTP, WebSocket, TCP). - Hands-on experience with PostgreSQL (DDL/DML, transactions, indexes, migrations). - Solid software design skills: Software Design, SOLID, Clean Code, IoC/DI, composition, GoF patterns. - Experience working with distributed and high-load systems. - Understanding of System Design: scaling, degradation, caching, SLA/SLO/SLI. - Experience with CI/CD, containers, and build systems (CMake, Docker, Jenkins/GitLab). - Familiarity with testing and performance tools (GTest, Valgrind, Perf, Sanitizers). - English - B1 or higher, Russian - B2 or higher.   WHAT WE OFFER: - The best team in the world! - An excellent remuneration package, including a 13th salary. - Relocation package for you and your family to Cyprus (Limassol). - A modern and sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation and a sports and fitness allowance. - Personal development opportunities paid for by the company: professional and language courses, books, etc. - Bonuses for outstanding results, years worked, getting married, and the birth of a child. - Friendly monthly office parties and epic, annual offsite company birthday and Christmas parties.

Location: Seoul 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. About The Job   Mistral AI is seeking a founding Team Lead of our Applied AI Engineering Deployment team in Korea. The Applied AI Engineering Deployment team is focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. This is a player-coach role with roughly 70% hands-on technical work, and 30% people leadership. Applied AI Engineers, Deployment at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally! Applied AI Engineers, Deployment responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   What you will do   - You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. - You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - You’ll be the people lead for the Applied AI Engineering Deployment Team in South Korea. You will mentor and grow your direct reports, and help shape the Applied AI Engineering practice in Korea, and APAC.   About you   - You are fluent in English and Korean - You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field - You have 8+ years of experience in engineering, with a strong DevOps or Site Reliability Engineering background - You have experience leading, mentoring, or managing engineers. Formal direct reports or informal technical leadership both count - You are comfortable being a founding lead in a new location: ambiguity, setting norms, and working across time zones - You're experienced with deploying and managing AI-based products in production environments - You are fluent in Python - You have experience with containerization technologies such as Docker and Kubernetes - You have experience with CI/CD pipelines and automated deployment tools - You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure - You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible - You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences   Ideally you have   - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager - Familiarity with AI frameworks such as PyTorch or TensorFlow - Contributions to open-source projects, particularly in the space of DevOps or AI     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; Amsterdam; Warsaw; 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 As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is 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: Paris 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 Site Reliability Engineer (SRE) on the Platform team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads. - Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters. - Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis. - Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform. - Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments. - Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Work with the security team to ensure infrastructure adheres to best practices and compliance requirements. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is 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: Paris; Amsterdam; Munich; 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. ABOUT THE JOB   Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!   Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   WHAT YOU WILL DO   • You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. • You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.   ABOUT YOU   • You are fluent in English • You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field • You have 2+ years of experience in a DevOps or Site Reliability Engineering role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences IDEALLY YOU HAVE: • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager • Familiarity with AI frameworks such as PyTorch or TensorFlow • Contributions to open-source projects, particularly in the space of DevOps or AI     By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. 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; Zurich; Warsaw; 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. Role Summary   As a Research Engineer on the software side, you will design and harden the codebase, tools and distributed services that let our scientists train and ship frontier-scale models. You do not need prior ML experience; what matters is writing clean, reliable code that scales.   You will join our Research Software Engineering team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD.   Location: Paris / Warsaw / Zurich / London (hybrid) or remote EU/UK with one hub visit per month. What will you do   • Accelerate researchers by owning the complex parts of large-scale pipelines and delivering robust internal tooling. • Interface research with product: expose clean APIs, automate model pushes, surface live metrics. • Write efficient, well-tested Python and systems code; enforce code review, CI, and observability. • Design and optimise distributed services (Kubernetes / SLURM, thousands-of-GPU jobs). • Prototype utilities (CLI, dashboards) and carry them through to stable, shared libraries.   About the Research Engineering team Based in Paris and London, our REs move fluidly along the research ↔ production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve.   About you   • Master’s in Computer Science (or equivalent experience). • 4 + years building and operating large-scale or distributed systems. • Strong software-design instincts: modular code, tests, CI/CD, observability. • Fluency in Python plus one systems language (C++, Rust, Go or Java). • Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar). • Comfortable profiling performance, optimising I/O, and automating workflows. • Self-starter, low-ego, collaborative, high-energy.   Nice-to-haves   • Exposure to ML workloads or data-processing pipelines. • Experience with GPU clusters or CUDA. • Open-source contributions or widely used internal tools. Location and Remote This role is primarily based at one of our European offices (Paris, Warsaw, Zurich and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office: • for the first week of their onboarding (accommodation and travelling covered) • then at least 3 days per month 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; Warsaw; London 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    We are seeking a talented and experienced platform engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department. You'll help create and optimize tools that empower researchers to make the most of high performance clusters.   Location: Paris / Warsaw / London (hybrid) or remote EU/UK with one hub visit per month.   What you will do   As a Platform Engineer, your responsibilities will include (but may not be limited to):   • Designing and implementing complex systems (e.g. scale our research CI with a strong focus toward reliability, reproducibility and speed) • Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission. • Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines. • Optimizing a variety of builds: container images, large libraries compilation times, python environments... • Building strong relationships with researchers, understanding their workflow and enabling them to achieve more by leveraging your expertise. • Communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build. • Being part of the team that "platformizes" research and constantly improve the daily experience for researchers while avoiding future roadblocks.   About you   • 5+ years of successful experience in a similar DX / DevOps / SRE role. • Proficiency in software development (Python, Go...) and programming best practices. • Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...) • Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...). • Technical product mindset (e.g. understanding how to debug poor adoption). • Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions). • Ownership, high agency and constantly seeking to learn and improving things for others. • Autonomous, self-driven and able to work well in a fast-paced startup environment. • Low ego and team spirit mindset.   Your application will be all the more interesting if you also have: • First hand Bazel (or equivalent) experience. • Strong knowledge of Python's ecosystem. • Familiarity with GPU based workloads and ecosystems. • Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).   Location and Remote This role is primarily based at one of our European offices (Paris, Warsaw and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office: •  for the first week of their onboarding (accommodation and travelling covered) •  then at least 3 days per month 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: Larnaca, Cyprus This is an onsite role, and we're seeking someone who will work directly from the client's office in Nicosia. Relocation conditions: A 2,000-euro relocation bonus (3,000 euros if relocating with family). This project focuses on enabling enterprise grade AI and GenAI capabilities across banking systems by implementing robust MLOps practices and cloud native infrastructure. The goal is to standardize how AI models are deployed, monitored, and governed in a secure and compliant way. Design and maintain CI/CD and MLOps pipelines for AI/ML solutions. Deploy and operate AI workloads on Azure Machine Learning, Azure OpenAI, AKS, Azure Functions, and Azure DevOps. Automate infrastructure using Terraform, Bicep, or ARM templates. Implement secure deployment practices: RBAC, Key Vault, managed identities, private endpoints, network isolation. Set up monitoring, logging, alerting, and operational support for AI services and model endpoints. Support model versioning, release management, rollback, and production governance. Work closely with data scientists, AI engineers, cloud architects, security, and banking IT teams. Ensure solutions meet banking standards for security, auditability, resilience, and compliance. 7+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience. Strong experience with Azure DevOps, CI/CD pipelines, Git, YAML, and release management. Experience with Azure Machine Learning and/or MLOps platforms. Practical knowledge of Azure OpenAI, GenAI applications, or AI service deployment. Experience with Docker, Kubernetes, and AKS. Experience with Infrastructure as Code: Terraform, Bicep, or ARM. Good understanding of monitoring tools such as Azure Monitor, Application Insights, Log Analytics, Grafana. Scripting skills in PowerShell, Python, or Bash. Experience working in regulated enterprise environments, preferably banking, fintech, or insurance. Experience with RAG pipelines, prompt orchestration, MLflow, or Prompt Flow. Knowledge of Microsoft data platforms: Databricks, Synapse, Data Factory, Microsoft Fabric, Purview. Understanding of AI governance, model risk, data privacy, and audit requirements. Experience with Microsoft security tools such as Defender for Cloud or Sentinel.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will focus on solving engineering problems at scale, moving beyond feature delivery to influence the architecture and implementation of distributed systems. By refactoring complex, monolithic systems and building high-quality, scalable software, your work ensures our platform remains robust and reliable for millions of global users. As a senior member of the team, you will have the autonomy to make major code design decisions and contribute to global engineering standards. You will balance technical excellence with mentorship, acting as a role model and coaching others through complex technical challenges to help them grow. The team / how they connect You will join a collaborative environment where engineers, product owners, and designers work together using agile and delivery practices to ship meaningful code. The team prioritizes continuous learning and mastery, frequently participating in code reviews and knowledge-sharing sessions to maintain a high bar for technical craft. The team is currently working on / Initially, you will focus on - Modernizing systems by refactoring monolithic components into distributed, scalable architectures. - Enhancing the developer experience through the maturation of CI/CD concepts, tooling, and TDD practices. - Building and maintaining a diverse tech stack that includes C#,.Net, React, AWS, and Kubernetes. - Developing and implementing technical solution designs that align with long-term engineering frameworks. Where and how you can work This role is based in our Vancouver office, where we embrace a hybrid working model. You will have the flexibility to work from home while joining the team in the office for "boost days" (1-2 days a week) to collaborate, socialize, and solve complex problems in person. Here are some of the things we are looking for - Proven experience delivering and operating complex, large-scale systems (distributed/high-availability environments), with strong fundamentals and the ability to ramp quickly across adjacent technologies (we’re tech-stack agnostic). - You bring a growth mindset and a passion for proactively maintaining and sharing technical knowledge with your peers. - A background in designing and building high-quality software within a range of languages and tools is essential. - You possess the ability to lead major code design decisions and contribute to wider technical solutioning. - Experience with modern engineering practices like automated testing, refactoring, and agile delivery is key to your success. - You enjoy mentoring other engineers and helping them grow their technical skills through supportive coaching. - A deep care for technical excellence and a drive to solve large-scale engineering challenges motivates your daily work. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies. Compensation Philosophy At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role; we invest in people. We believe in a Total Package philosophy - which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The base salary range for this role in Canada is $155,000 - $205,000 CAD. Please note that this range represents base salary only. We believe in rewarding our people for their total contribution, which is why we look at compensation through a holistic lens. In addition to base pay, your total package may include: - Variable Pay: Eligibility commissions or equity based on role and performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. - Xero Perks: Inside Xero https://careers.xero.com/inside-xero/benefits-wellbeing/ Explore our full suite of benefits, from wellbeing initiatives to professional development. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role

Location: Paris 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    We are seeking experienced Software Engineer, Developer Experience to own and fostering a collaborative, automated, and efficient software development lifecycle. In this role, you will collaborate closely with product engineering teams to ensure consistent code health, accelerate development velocity through well-maintained CI pipelines, faster builds, and secure release processes. Your mission: empowering our software engineering team with seamless workflows while securing our production environments.   Location: Paris 🇫🇷   What you will do   As a Software Engineer, Developer Experience, your responsibilities will include (but may not be limited to):   Developer Experience • Build, monitor, and enhance CI/CD pipelines to streamline development workflows and accelerate deployments. • Design, operate and maintain scalable, reliable and secure multi-cloud infrastructures • Identify areas for improvement and create innovative solutions that enable high developer velocity   Team Collaboration & Advocacy • Standardize DevOps practices to ensure consistency across all engineering teams. • Establish measurable KPIs for security performance, reliability, and compliance adherence. • Partner with development and operations teams to embed security into daily workflows. • Lead training initiatives to upskill teams on secure coding, threat modeling, and incident response. • Champion a security-first mindset, driving cultural adoption of DevSecOps principles across the organization.   Representative projects - Improve CI/CD and build systems - Optimize cloud registries (Docker, Azure, GCP) - Implement static and dynamic code analysis tool - Implement automated vulnerability analysis       About you   • 5+ years of successful experience in a similar role (DevOps, Developer Experience, Platform Engineer, Internal tooling engineer, SRE...)   • Strong proficiency in: - Scripting languages (Go, Python...) and software development best practices. - Developer experience engineering: developer workflow optimization, tooling and automation for productivity, real-time developer support and escalation paths - Site Reliability Engineering: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...   • Exposure to: - Multi-cloud infrastructures (AWS / GCP / Azure or On-Prem) - Security Tools & Approaches: OWASP, SAST, DAST, SCA, vulnerability scanners   • Proven: - Problem-solving and communication skills — ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions. - Ownership, high agency and desire to improve things for others. - Autonomy, self-drive and ability to work well in a fast-paced startup environment. - Low ego and team spirit mindset.   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 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   On average, our team leads are responsible for teams of about five people, owning both execution and delivery while remaining hands-on. You will split your time dynamically between individual contribution and leadership, with the balance shifting as your team grows.   You will collaborate closely with engineering teams to ship improvements that directly accelerate development velocity, enhance code quality, and streamline workflows across our AI platform and products: AI Studio, Le Chat, and Mistral Vibe. You will be responsible for creating a strong team culture, setting clear processes, raising the developer experience bar, and ensuring consistent high-quality delivery of developer tooling and infrastructure.   This is a highly critical role at the intersection of developer productivity, infrastructure, and people. You will help shape how our engineering organization builds at scale. If you enjoy building developer platforms, leading ambitious engineers, and shipping tooling that supercharges productivity, this role is for you.   What you will do   • Empower Your Team: Act as the clear point of contact for your team and its projects. Remove obstacles, unblock execution, and create an environment where engineers can focus on building impactful developer tools and platforms.   • Lead Delivery and Accountability: Own the delivery of your team’s roadmap for developer experience improvements, including projects like enhancing CI/CD and build systems, optimizing cloud registries (Docker, Azure, GCP), implementing static and dynamic code analysis tools, and automated vulnerability analysis. Ensure projects are shipped with the right level of quality, reliability, and performance.   • Bridge Engineering and Productivity: Partner closely with engineering teams to define the roadmap and priorities for developer experience. Scope initiatives, estimate engineering effort, and drive prioritization decisions based on developer productivity impact and technical necessity. Keep the whole team involved and engaged in the product direction.   • Hands-on Technical Leadership: Stay deeply involved in architecture design, system design, coding, peer reviews, and technical decision-making for developer tooling. Lead by example and remain connected to the day-to-day challenges of the team.   • Process and Clarity: Define and evolve team processes, best practices, and execution rituals for developer workflows. Ensure they remain relevant as the team and product scale.   • Raise the bar: Challenge engineers to step up, take ownership, and grow beyond their comfort zone. Increase the team’s bus factor through knowledge sharing, documentation, and rotation of responsibilities. Champion a culture of continuous improvement in developer productivity.     About you   • 5+ years of relevant professional work experience in Developer Experience (DevEx), DevOps, or related fields. • Master’s degree in Computer Science, Information Technology, or a related field. • Proficiency in scripting and programming languages (Python, JavaScript/TypeScript, Go) and experience with infrastructure as code tools. • Experience with building and leading high-performing teams in developer tooling or infrastructure. • Experience working with cross-functional teams including product, design, and business. • Experience with project management and planning for infrastructure and tooling initiatives. • Ownership and capacity to ship developer tooling and platforms end-to-end. • Strong experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), cloud infrastructure (AWS, GCP, Azure), build systems, container registries, and developer tooling. 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; Amsterdam; Munich; 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   • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely individual contributor role. • You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results. • You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations. • You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production. • You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs. • You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages. • You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world. • You will travel approximately 30 to 60% of your time. • Your role will involve spending time at the client’s office.   What You Will Do   Delivering value to the customers • Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives. • Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.  • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process • Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.     Product deployment • Guide and support customers in deploying our models and products into their infrastructure. • Work closely with customers to deploy relevant solutions according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements. • Develop custom features for customers as needed.   Customer Onboarding • Responsible for onboarding customers on our products, providing guidance on deployment and integration • Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces   Project management • Define and track success metrics of the POC being rolled out at customers. • Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward.   What We're Looking For   • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools  • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure • You have been involved in a customer facing role • You have strong project & stakeholder management skills • You have foundational knowledge in AI/ML/Data science • You have ability to connect technology and business value  • You are result driven and resilient • Being familiar with sales qualification concepts is a strong plus   We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success.   Hiring Process (optional)   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min System Design • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check   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.