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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; 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: San Francisco Description In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS Why Perplexity is different - Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do - Build agentic apps, features, and workflows that make Perplexity a daily driver for users. - Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. - Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. - Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. - Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else. Qualifications - 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end. - Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes. - Strong execution: you ship many products and experiments in parallel and drive each to a measurable result. - Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions. - An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end. - Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission. - Experience mentoring engineers and raising the technical bar of a team. - Genuine interest in and adoption of AI products and willingness to learn quickly. Nice to have - Domain expertise in verticals such as finance, healthcare, legal, or operations. - Experience building agentic product surfaces. - Time at a fast-growing startup or high-ownership engineering team.

Location: San Francisco Description In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS Why Perplexity is different - Craftsmanship. We build high-quality, tasteful products targeting both the AI-native and AI-curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do - Build agentic apps, features, and workflows that make Perplexity a daily driver for users. - Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. - Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. - Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. - Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else. Qualifications - 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end. - Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes. - Strong execution: you ship many products and experiments in parallel and drive each to a measurable result. - Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions. - An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end. - Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission. - Experience mentoring engineers and raising the technical bar of a team. - Genuine interest in and adoption of AI products and willingness to learn quickly. Nice to have - Domain expertise in verticals such as finance, healthcare, legal, or operations. - Experience building agentic product surfaces. - Time at a fast-growing startup or high-ownership engineering team.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency. Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community. The team / how they connect You will join the Accounting Core team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide. The team is currently working on / Initially, you will focus on - Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency. - Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS. - Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs. - Automating manual processes and applying test-driven and trunk-based development practices. Where and how you can work This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks. Here are some of the things we are looking for - You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go. - A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit. - Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical. - Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed. - Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows. - You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner. 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. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 This role bridges infrastructure and product engineering: you'll build genuine partnerships across product, AI, and enterprise teams so that ownership is shared and velocity is never blocked by platform constraints. As a leader, you'll set a forward-looking cloud vision, proactively align with stakeholders across the business, and ensure the platform scales for multi-shard, multi-region growth while meeting security and compliance commitments (SOC 2, business continuity/disaster recovery, and enterprise security frameworks). You'll implement and drive the adoption of AI-powered tooling and autonomous agents within the infrastructure organization.   The Role: - Cost Efficiency: Deliver measurable annual infrastructure savings by executing the migration of data workloads to EKS and self-hosting key services. - Ingress Convergence: Deprecate legacy frontend ALBs and consolidate to a single EKS-managed ALB per shard, unblocking faster deployments across the org. - Coverage & Bench Depth: Eliminate single points of ownership across Networking, OpenSearch, and Terraform through cross-training and targeted hiring. - Stakeholder Alignment: Stand up a recurring alignment cadence with Product, AI, Enterprise, and Security so infra planning is driven by demand, not ad-hoc interrupts. - Automation: Ship automated shard buildout via Backstage to remove manual toil from enterprise scaling. - Reliability: Cut P0/P1 incidents attributed to Cloud Platform (DNS, ALB misconfiguration, EKS) through hardened ingress patterns and Terraform-policy guardrails. Own incident response and RCA follow-through for the team. - Roadmap Ownership: Own and deliver against the team's roadmap for Agent enablement, centralized IaC, and deployment rollout acceleration, and contribute to the broader Cloud Platform strategy tied to AI and Enterprise revenue goals. - Technical Leadership: Architect and contribute code to key initiatives (EKS migration, ALB consolidation, Backstage shard automation), and lead design reviews with senior engineers. - People Leadership: Lead, grow, and retain a senior-heavy team distributed across the US, Canada, and Europe, spanning FTEs and contractors, with a focus on career development, cross-training, and bench depth. - Vendor Management: Partner with Finance and leadership on AWS spend visibility and savings targets, manage contractor performance and budget, and keep a savings-pipeline mindset baked into planning.   Qualifications: - Experience: 9+ years in infrastructure/platform engineering, including 5+ years in engineering management leading distributed teams of senior engineers while remaining hands-on. - Deep AWS infrastructure mastery: EKS, networking (VPC/TGW/DNS), and Terraform at scale, with strong architectural judgment; able to review designs and guide senior engineers' technical decisions. - Hands-on technical leadership: Actively architects, writes code, and develops systems alongside the team. You are a working engineer as well as a manager. - Strategic roadmap ownership: Experience translating cloud priorities into 3–9 month team roadmaps tied to business outcomes across enterprise, AI, and cost, and delivering against them. - Cross-team influence: Builds genuine partnerships across Product, Security, SRE, and DB orgs, driving shared ownership across traditional infra/product boundaries. - Application-level curiosity: Genuinely understands what the product does, not just the infrastructure underneath, and extends ownership past traditional platform boundaries. - People leadership: Proven experience managing, growing, and retaining senior, geographically distributed teams across FTE/contractor blends; builds bench depth and contributes to succession planning. - Hiring: Experience running structured hiring loops and closing senior engineers, including into specialized gaps (networking, search, IaC). - Operational rigor: Strong on-call instincts, incident ownership, and RCA follow-through. - Security-first instincts: This team touches blast radius (auth enforcement, network isolation, shard boundaries). A verify-first, never-assume mindset is non-negotiable. - AI & automation mindset: Uses AI tools daily in your own engineering work, with demonstrated appetite for DevSecOps agents, AI-assisted IaC migrations, and skills-based automation — a core part of the near-term roadmap. - AI/ML infrastructure experience (strong plus): Scaling workloads like GPU orchestration, model-serving infrastructure, or cost-optimized compute for inference. - Education: BS/MS in CS, Engineering, or equivalent. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

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: United States (Remote); At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! Department: Engineering The Engineering organization at Signifyd is at the forefront of building solutions that protect and empower global commerce. We pride ourselves on delivering highly scalable, robust systems that evolve with our customers' needs, from emerging startups to enterprise-level organizations processing millions of transactions. Our engineers thrive in an innovative environment where rapid iteration and continuous learning drive our success. We embrace modern development practices, leverage cloud-native technologies, and maintain a customer-obsessed mindset to ensure our solutions anticipate tomorrow's challenges. Strong partnerships with Product and Data Science ensure every technical decision is aligned with delivering maximum value and driving meaningful business outcomes. The Role We are looking for a staff back-end engineer to set the technical direction for the platform retailers use to integrate with Signifyd. As a member of the Integrations & Onboarding team, you will own the architecture and long-term health of our public-facing API platform and ingestion services, defining both what we build and how we build it. This role suits an engineer who is drawn to open-ended problems spanning several teams, who can turn a complicated problem space into simple and durable foundations, and whose influence shows up in other teams' roadmaps as much as in their own systems. Responsibilities Define and deliver the multi-year technical vision for our integration and ingestion platform across multiple teams and competing constraints. Make the architecture-level technology calls, including build-versus-buy decisions and framework selection, and own the tradeoffs behind them. Own the overall health and engineering quality of the platform: drive health reviews, curate testing strategy, and ensure the systems stay maintainable by engineers with varying levels of expertise. Design systems under significant ambiguity, particularly those that many other systems depend on. Partner with product management, data engineering, and other engineering teams, influencing their roadmaps where a shared solution serves the business better than a locally optimal one. Raise the technical bar across related areas through design and code review, with particular attention to cross-team interfaces and API quality. Proactively identify areas of technical debt and drive the strategy for addressing them. Serve as a role model and mentor for engineers across the organization, and champion responsible adoption of AI development tools. Requirements Bachelor's degree or equivalent practical experience. Significant experience in software development with modern programming languages, experience programming in a functional style. Track record of setting technical direction across multiple teams, and of carrying large, ambiguous initiatives through to completion. Depth in a platform or product domain that translated into distinctive business value, rather than breadth alone. Strong software design and architecture skills, including reducing complex problems to simple foundational components and designing interfaces that are difficult to misuse. Experience owning the long-term health of a significant system: testing strategy, operability, and reducing key-person dependency. Experience building distributed systems or public-facing/platform APIs at scale. Experience with cloud platforms such as AWS or GCP. Ability to influence without authority, and to communicate effectively with engineers and non-engineers alike. You use modern AI development tools fluently and help others do the same, championing responsible adoption while holding the line on quality. This means practical experience with AI coding assistants, understanding how to provide effective context, critically evaluating generated code for correctness, security, and maintainability, and coaching others toward the same standard. Our Stack Java, SQL, gRPC, HTTP/REST Kubernetes, Docker, Linux Cassandra, Pub/Sub, Bigtable, Databricks GCP, AWS #LI-Remote Benefits in our US offices: Discretionary Time Off Policy (Unlimited!) 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) On-Demand Therapy for all employees & their dependents Dedicated learning budget through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. Base Salary Ranges by Pay Zone: Tier 1 (NYC/SF Bay Area/Seattle): $200,000 - 225,000 annually Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $195,000- $220,000 annually Tier 3 (US - All Other): $190,000- $215,000 annually Equity: This role is eligible for a stock option grant of 6000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd's Applicant Privacy Notice

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: EST Europe Why this job is exciting Source code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services. This role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software. The Platform team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Platform team, you will work closely with both external customers and internal stakeholders to meet their needs. You will: Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud. Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances. Expose complex infrastructure as API to support internal customers to iterate faster. Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP)  to debug and patch non-trivial problems. Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence. Participate in on-call rotation to uphold our contractual SLA commitments. 📅 Within one month, you will… Onboard onto the Sourcegraph architecture, tooling, and development workflow. Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals. Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals. Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs. 📅 Within three months, you will… Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem. Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments. Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs. Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery. Participate in our on-call rotation. 📅 Within six months, you will… Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones that you will deliver iteratively with the team. Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs. Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar. About you You bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who seeks to solve problems by writing code rather than through one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary. Qualifications: Proficiency in Go, or other strongly typed languages. Knowledge in one of the public cloud platform providers (GCP, AWS, Azure) Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation. Skilled at debugging distributed systems, followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory. Ability to communicate clearly and empathetically, especially in writing and documentation. Preferred time zone between UTC-8 and UTC+2 Nice to haves: Built services and exposed them as API for external consumption  (e.g., gRPC). Comfortable implementing system-level software  (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators. Published blog posts and/or tech talks about your work. Experience working on small high-performing teams, preferably tech startups. Level 📊 This job is an IC3.  You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰The starting salary for the IC3 pay band in each zone is: Zone 2: $148,000 USD Zone 3: $111,000 USD Zone 4: $74,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 4.75 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [Async] Take-home exercise [60m] Take-home exercise walkthrough + System Design [60m] Pairing Exercise [60m] Resume Deep Dive [60m] Cross-functional Team Collaboration Interview / Values Interview 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30m] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

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: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical  hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Build automation to support datacenter fleets at scale. Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. Work closely with our Networking team to ensure end-to-end connectivity across all sites. Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). Ability to communicate clearly and build consensus with a wide range of stakeholders. Comfort navigating ambiguity and making progress on complex, cross-functional problems. Preferred qualifications 8+ years of experience in datacenter infrastructure management, or a closely related discipline. Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands. Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS Experience building or contributing to datacenter automation or fleet management platforms. Experience building and deploying server operating system distributions across large server fleets. Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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.

Location: Yerevan; Poland; Spain; Ukraine; Serbia Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness. Domain Focus Deep, current expertise in one or both of our priority verticals is a leading selection criterion: Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows. Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling. You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries. Forward-Deployed Delivery (FDE / FDX) Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other: FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos. FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment. Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential. Requirements: Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context. Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery. Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping. 5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms. Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements. Fluent English. A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must. GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders. Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks. Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs. Design thinking, data-driven decisions, strong communication and executive storytelling. Bias to action; thrives in ambiguity with structured problem-solving. Enough engineering empathy to earn credibility with senior engineers and architects on day one. Nice to Have: Second priority vertical beyond your primary FSI/HCLS focus. Prior experience in a Premier AWS or Anthropic partner environment. Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early. Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP. Software development background. What You'll Do: Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery. Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs. Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments. Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result. Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream. Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows. Break complex work into incremental releases; balance delivery against technical debt and architecture. Sprint-Enable-Realize engagement model. Lead Agile execution - backlog, sprint planning, release process. Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program. Define success metrics and analytics; drive continuous improvement and root-cause analysis. Support change management, enablement, and reusable playbooks so wins repeat across accounts. Why Join Us: Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact. Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment. Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers. Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks. Remote-friendly culture. Private medical insurance or sports coverage Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work.

Location: EMEA What you’ll be doing Work with a team of DevOps and DBA professionals Improve existing infrastructure and processes across the countries we’re deployed in, as well as streamlining processes to deploy to new countries in the future Continuously improve Kubernetes platform stability and efficiency, with a focus on optimising resource utilisation, reducing costs, and streamlining environment provisioning through GitOps-first practices Monitor and maintain cloud infrastructure through autoscaling, alerting pipelines, and Grafana dashboards covering metrics, logs, traces, and real user monitoring (RUM) Own weekday on-call operations, triaging and responding to production incidents, performing root cause analysis, and driving post-incident reviews Design and manage alert pipelines to ensure actionable signal quality, with attention to preventing alert fatigue, waterfall alerting, and notification flooding Define and maintain SLIs and SLOs for critical services, and use them to drive reliability improvements and on-call prioritisation Take ownership and responsibility for our cloud operation activities Liaise with external security agencies for annual audits as well as perform our own internal security sweeps Aid in reconfiguring existing architecture to allow for rapid deployments to new countries Mentoring less experienced team members What you’ll bring 3+ years DevOps / SRE / platform engineering experience Must be based in Europe Experience independently leading the planning and deployment of a project Experienced with cloud platforms, especially AWS, including solid knowledge of how to utilise cloud resources to fulfil the demand from other teams and production Strong understanding of Kubernetes and container orchestration, with experience in EKS and GitOps tooling such as ArgoCD and Helm being highly valued Experience with Infrastructure-as-Code, particularly Terraform Proficiency in scripting and automation with Bash, Python, or Golang; experience with Rust is a plus Hands-on experience with observability stacks covering metrics, logs, distributed traces, and profiling, for example Prometheus, Loki, Tempo, Pyroscope, and OpenTelemetry Experience with real user monitoring (RUM), with familiarity in Grafana Faro or OpenTelemetry SDK instrumentation being a plus Proven on-call and incident response experience, comfortable triaging production issues under pressure, leading post-mortems, and driving follow-up actions Ability to design and maintain alert frameworks that minimise noise, prevent alert fatigue, and avoid waterfall alerting patterns Experience defining SLIs and SLOs and using them to inform reliability work Familiarity with service mesh concepts is a plus, as we are actively evaluating Cilium-based service mesh in non-production environments Solid networking knowledge, especially the TCP / IP stack and HTTP protocol Experience handling high HTTP request volumes and designing systems for high availability and high traffic environments A strong understanding of cache, including CDN, HTTP cache, Redis / Memcached Excellent troubleshooting skills, including Linux OS issue diagnosis and OS parameter optimisation, JVM optimisation would be highly advantageous Our stack Languages: Java / Spring Boot, Node.js, Python, JavaScript Database: Aurora MySQL & PostgreSQL, MongoDB, MySQL Community Cache: ElastiCache, Redis, Valkey Messaging: Apache RocketMQ, AutoMQ, Kafka Networking & Proxy: Nginx, Kong, Cilium, eBPF Orchestration & GitOps: Docker, Kubernetes (EKS), ArgoCD, Helm Computing & Storage: AWS EC2, VPC, AWS Lambda, EBS, S3 CI/CD: Jenkins, GitHub Actions Metrics: Prometheus, Mimir, Grafana, Alertmanager Logs: Loki, Vector Traces: Tempo, OpenTelemetry, Alloy Profiling: Pyroscope RUM: Grafana Faro, OpenTelemetry SDK Infrastructure as Code: Terraform CDN & Edge: Cloudflare, AWS CloudFront AWS CloudWatch What’s in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview process Remote video screening with our Talent Acquisition Team Online assessment via Hackerrank Remote video interview with 3 x Team Members (45 mins each, not separate days) If you’re interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

Задачи: — Разработка backend на Python с использованием Django и Django REST Framework — Создание REST API — Работа с AWS сервисами: S3, RDS, SNS, SQS, CloudFront, CloudFormation — Реализация OAuth потоков — Использование AI инструментов и LLM — Работа с Celery (4.x/5.x) и брокерами сообщений (Redis или RabbitMQ) — Использование Docker (Dockerfile, docker-compose) и базовых CI/CD (GitHub Actions или аналогичные) — Работа с SQL и реляционными базами данных (PostgreSQL) — Использование Git (pull/merge requests, code reviews, Git Flow) Требования: — Опыт работы не менее 5 лет — Экспертные знания Python и Django (ORM, миграции, админка) — Опыт создания REST API с Django REST Framework — Опыт работы с AWS сервисами: S3, RDS, SNS, SQS, CloudFront, CloudFormation — Знание OAuth — Владение AI инструментами / LLM — Опыт работы с Celery и брокерами сообщений (Redis или RabbitMQ) — Опыт работы с Docker и CI/CD — Хорошее знание SQL и PostgreSQL — Владение Git — Свободное владение английским языком Желательно: — Знакомство с платежными шлюзами (Mollie, Stripe, PayPal) — Настройка и оптимизация Sentry, логирование и мониторинг — Инструменты тестирования и качества кода: Pytest, Flake8, Bandit, wemake-python-styleguide — Интернационализация и интеграции с внешними CRM/API — Базовые знания Vue.js или работа с фронтендом на Vue — Feature flags (django-waffle), расширенные админ-плагины (CKEditor, image-cropping, sortable2) — Poetry, Fabric, Django Channels (WebSockets) — Обработка PDF и изображений (PyMuPDF, Pillow, heif-image-plugin) Условия: — Полностью удалённая работа с гибким графиком — Конкурентная оплата (полный рабочий день или фриланс) в зависимости от опыта — Возможности профессионального роста и долгосрочного сотрудничества

Задачи: — Работа в техническом направлении QA для проекта Hero Wars: Dominion Era (WEB версия), включая поддержку внутренних инструментов и технической стратегии. — Тестирование интеграций, изменений на стороне бэкенда, внутренних инструментов, окружений и сложных системных поведений. — Поддержка запуска игры в новом регионе с учетом региональных интеграций (например, платежи, автоматизация), ограничений по подключению и связанных крайних случаев. — Работа с устаревшими системами и техническим долгом, улучшение качества и процессов. Требования: — Опыт QA не менее 3 лет (ручное тестирование) в веб/игровых продуктах или сложных системах. — Практические навыки работы с DevTools, Postman, понимание веб-тестирования и интеграций. — Уверенное владение SQL (PostgreSQL), умение проверять данные и исследовать проблемы с помощью запросов. — Комфортная работа с командной строкой и базовый анализ логов. — Понимание жизненного цикла разработки/тестирования и умение работать с тестовой документацией. — Базовое понимание CI/CD и процессов релизов/окружений. Желательно: — Опыт автоматизации на любом языке (особенно Python). — Знания Docker, Kubernetes, облачных технологий (AWS) или сильный интерес к инфраструктуре. — Опыт в ролях, близких к SDET (инструменты, тестовые утилиты, пайплайны, интеграционные тесты). — Знание GitLab CI и процессов релизов. — Использование ИИ для рабочих задач. Условия: — Медицинская программа (включая стоматологию) или компенсация медицинских расходов, доступная в любом месте работы. — Медицинская программа для членов семьи при работе в офисах в Кипре, Армении или Казахстане. — Оплачиваемый отпуск и больничные. — Возможность работать в офисах в Армении, Казахстане, Кипре или удаленно. — Спортивные активности (йога, футбол, волейбол) в официальных локациях. — Пакет поддержки релокации при переезде в официальные офисы. — Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в Кипре и Армении. — Участие в гейм-джемах, хакатонах, конференциях и митапах. — Разнообразные корпоративные мероприятия. — Поддержка социальных инициатив и участие в благотворительных проектах. Рабочий формат: в офисах компании в Армении, Казахстане, Кипре или удаленно.

Задачи: — Работа в техническом направлении QA для проекта Hero Wars: Dominion Era (WEB версия). — Поддержка внутренних инструментов и технической стратегии проекта. — Обеспечение качества интеграций, изменений на бэкенде, внутренних инструментов, окружений и сложных системных поведений. — Поддержка запуска игры в новом регионе с учетом региональных интеграций (платежи, автоматизация), ограничений по подключению и связанных кейсов. — Работа с устаревшими системами и техническим долгом, улучшение качества и процессов. Требования: — Опыт QA не менее 3 лет (ручное тестирование) в веб/игровых продуктах или сложных системах. — Практические навыки работы с DevTools, Postman, понимание веб-тестирования и интеграций. — Уверенное владение SQL (PostgreSQL), умение проверять данные и исследовать проблемы через запросы. — Умение работать с командной строкой и базовый анализ логов. — Понимание жизненного цикла разработки/тестирования и умение работать с тестовой документацией. — Базовое понимание CI/CD и процессов релизов/окружений. Желательно: — Опыт автоматизации на любом языке (особенно Python). — Опыт или интерес к Docker, Kubernetes, облачным технологиям (AWS). — Опыт в ролях, близких к SDET (инструменты, тестовые утилиты, пайплайны, интеграционные тесты). — Знание GitLab CI и процессов релизов. — Использование AI в рабочих задачах. Условия: — Медицинская программа (включая стоматологию) или компенсация, доступная в любом месте работы. — Медицинская программа для членов семьи при работе в офисах в Кипре, Армении или Казахстане. — Оплачиваемый отпуск и больничные. — Возможность работать в офисах в Армении, Казахстане, Кипре или удаленно. — Спортивные активности в офисах (йога, футбол, волейбол). — Пакет поддержки при релокации в официальные локации. — Курсы английского языка онлайн, уроки греческого и армянского для сотрудников в Кипре и Армении. — Участие в гейм-джемах, хакатонах, конференциях и митапах. — Корпоративные мероприятия: стратегические сессии, воркшопы, вечеринки, конкурсы. — Поддержка социальных инициатив и участие в благотворительных проектах. Формат работы: в офисах компании в Армении, Казахстане, Кипре или удаленно.