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Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role The AuthKit team is responsible for building AuthKit: a set of UI and APIs that enable B2B developers to solve identity and authentication. Our goal is to build the best possible developer and end-user experiences so customers can onboard seamlessly and kick-start their enterprise journey. AuthKit has seen strong adoption and is now relied upon as critical infrastructure by many of the fastest-growing AI and software companies. To support this scale, we're looking for product engineers who have experience scaling this type of infrastructure and who can drive application reliability, scalability, and performance. This role straddles product and platform, with each informing the other. Our engineers obsess over the developer experience, actively seeking out feedback and new perspectives to inform the products we build. We're searching for engineers who share this empathetic approach to solving problems. Successful candidates will love taking ideas from zero to one, creating beautiful software experiences with modern tools, and care deeply about creating the best possible products. Responsibilities - Design and engineer delightful developer and end-user experiences - Build a deep understanding of AuthKit's place in the market and increase its adoption - Drive application reliability, scalability, and performance for a product relied upon at scale - Accrete developer trust by serving a highly available, performant, and secure product - Speak with customers regularly to get feedback, debug issues, and remove points of friction - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work across both product and platform, letting each inform the other - Work directly with leadership on greenfield ideas Qualifications - 5+ years of industry software development experience - Bachelors degree required - Experience working on small teams in fast-paced environments - Background in crafting both polished UI/UX and API services end-to-end - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Ukraine We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Location: Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Jeddah, Saudi Arabia The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on oil and gas separation systems . The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China. Key Responsibilities Lead and manage engineering design activities for petrochemical and oil & gas projects. Oversee design of oil & gas separation systems , including process facilities and related units. Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation). Review and approve engineering deliverables, calculations, drawings, and technical documents. Ensure engineering designs meet project scope, schedule, quality, and cost objectives. Coordinate with project management, procurement, construction, and commissioning teams. Interface with clients, licensors, vendors, and regulatory authorities. Ensure compliance with international codes, standards, and project specifications. Support technical issue resolution during engineering, procurement, and construction phases. Provide technical leadership, mentoring, and performance management for engineering teams. Educational Qualifications Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline). Master’s degree is an advantage. Experience Requirements Minimum 15 years of engineering experience in petrochemical and oil & gas projects. Proven experience in oil & gas separation systems . Minimum 5 years in a Design Engineering Manager or Lead Engineering role . Strong EPC project experience.

Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia The Design Engineering Manager will lead and manage multidisciplinary engineering design activities for petrochemical and oil & gas projects, with a strong focus on oil and gas separation systems . The role is responsible for overseeing design development across project phases, ensuring compliance with international standards, project specifications, and client requirements, while coordinating with EPC teams and stakeholders. This position is based in China. Key Responsibilities Lead and manage engineering design activities for petrochemical and oil & gas projects. Oversee design of oil & gas separation systems , including process facilities and related units. Manage multidisciplinary engineering teams (process, mechanical, piping, electrical, instrumentation). Review and approve engineering deliverables, calculations, drawings, and technical documents. Ensure engineering designs meet project scope, schedule, quality, and cost objectives. Coordinate with project management, procurement, construction, and commissioning teams. Interface with clients, licensors, vendors, and regulatory authorities. Ensure compliance with international codes, standards, and project specifications. Support technical issue resolution during engineering, procurement, and construction phases. Provide technical leadership, mentoring, and performance management for engineering teams. Educational Qualifications Bachelor’s Degree in Engineering (Mechanical, Chemical, or related discipline). Master’s degree is an advantage. Experience Requirements Minimum 15 years of engineering experience in petrochemical and oil & gas projects. Proven experience in oil & gas separation systems . Minimum 5 years in a Design Engineering Manager or Lead Engineering role . Strong EPC project experience.

Location: Belgrade Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus What we're looking for: - You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. - You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. - You’re curious, persistent, and self-driven: you take ownership, work through challenges, and follow through on what you start. - You’re eager to learn and improve: you’re willing to put in the work, develop your skills, and get better every week. - You’re comfortable working in English: in a collaborative, professional environment. - You thrive in a high-performance environment: you’re comfortable with high standards, direct feedback, and a fast pace. - You’re willing to challenge and be challenged: You’re comfortable asking questions, sharing your perspective, and pushing back constructively when it matters.

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Claude App Infrastructure owns the reliability, experience, and agentic capabilities of claude.ai. We're the platform team for Anthropic's flagship consumer product, responsible for the serving architecture that keeps Claude available at scale, the conversation experience, and the infrastructure that lets every product team at Anthropic ship into claude.ai safely and fast. When the product grows at hyper scale, we're the team that makes sure it feels the same or better. Beyond the foundation, we're building the agentic layer that turns claude.ai from a chat surface into an execution surface: task execution, personalization, browser use, and server-side tools. This is where the next generation of the product gets built: the primitives that let Claude act in the world, not just respond. We believe reliability and velocity are the same problem, and our job is to build the systems that make both inevitable. Key responsibilities Design and build sandboxed compute environments where Claude can safely execute code, access tools, and interact with external services Build state management systems for long-running agent tasks, handling checkpoints, recovery, and resumption across failures Develop authentication and authorization frameworks for delegated access, so Claude can act on behalf of users securely Create observability and debugging tools for agent execution, so we understand what Claude did, why, and how to make it better Partner closely with product and research teams to define what's possible and ship it Minimum qualifications Experience building distributed systems, infrastructure, or platform services at scale Comfort building cloud native infrastructure on GCP, AWS, or Azure Experience with containers, sandboxing, or secure execution environments (e.g., gVisor, Firecracker, V8 isolates) Write clean, maintainable code in Python, Go, Rust, or a similar language Care about security, isolation, and building systems that fail safely Preferred qualifications Comfort with ambiguity and greenfield work where you help shape the architecture Interest in problems that don't have existing playbooks Experience building multi-tenant execution platforms or serverless infrastructure Background in security engineering, sandboxing, or isolation technologies Familiarity with workflow orchestration systems (Temporal, Airflow, Step Functions) Experience with state machines, checkpointing, or durable execution patterns Low-level systems experience (Linux internals, eBPF, container runtimes) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD 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. 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: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As a Software Engineer at OnePay, your work will build the products & systems that serve our customers and run our company. You will play a crucial role in translating product visions into functional, high-quality applications and features. You will work closely with product managers, designers, and other engineers to deliver impactful solutions that enhance our customer's financial lives. You will: - Develop and implement new features, API's, and products. - Work closely with other engineers to ship code. We enjoy collaboration and partnering on hard problems.  - Architect and designing highly scalable and reliable products. - Building and maintaining documentation. As a growing and remote organization, having the necessary documentation is key to our success.  - Solve complex problems that arise at scale. We deal with real-world money movement and sensitive financial data at scale and are creating novel financial mechanics with no real precedent. YOU BRING - 5+ years of professional experience in product-facing backend development. - Strong track record of delivering high-impact features and products. - Experience building, maintaining, and optimizing API's. - Curiosity and passion for emerging AI tooling, with practical experience incorporating tools such as Cursor, GitHub Copilot, and Claude into real-world execution. - Drive and proactivity - everyone here is a builder and executor TOOLS WE USE We use Typescript front to back, with node and NestJS frameworks for server code and React Native for our iOS, Android, and Web clients. We run on a highly distributed cloud-native stack with Kubernetes and AWS, and scale and resiliency are at the heart of everything we build. We also embrace agentic development, so engineers have their choice of a variety of models and agent harnesses, including Claude Code, Cursor, Codex, and more to fit their workflow. While you don't need experience with our exact stack, familiarity with modern software engineering practices will help you ramp up quickly. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Kyiv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем.   Ми шукаємо нового гравця до Video Devices підрозділу на роль RF Engineer із розумінням принципів радіочастотного дизайну та інтеграції.   Video Devices підрозділ здійснює повний цикл розробки відеопристроїв Ajax, покриваючи усі етапи від створення концепту ідеї до запуску в серійне виробництво та подальшого масштабування. Команда фокусується на створенні комплексного продукту, що поєднує в собі механічне проєктування, розробку апаратної частини та інтеграцію низькорівневого програмного забезпечення для стабільної роботи систем у реальному часі. Процес розробки охоплює глибоку експертизу в оптиці, роботі з якістю зображення, вбудованих системах (embedded), Wi-Fi та мережевих технологіях, а також аудіо-тюнінгу. Дивізіон забезпечує повну вертикальну інтеграцію всіх компонентів пристрою, створюючи технологічно повноцінні рішення, що відповідають стандартам надійності екосистеми та вимогам глобального промислового виробництва. Вимоги: Досвід роботи: Мінімум 3+ роки на посаді RF-інженера або в суміжній галузі розробки бездротових систем. Multi-band Systems: Практичний досвід участі в розробці та оптимізації багатодіапазонних систем, що включають комбінації стандартів (наприклад, GSM/LTE, Wi-Fi 2.4/5 ГГц, Bluetooth та Sub-GHz технології, як-от LoRa/Zigbee). Wi-Fi Експертиза: Поглиблений досвід роботи з Wi-Fi стандартами 2.4 ГГц та 5 ГГц ( 802.11 a/b/g/n/ac/ax), включаючи: Дизайн та інтеграція антен: Вибір, розробка (моделювання) та оптимізація вбудованих антен (FPC, PCB, Ceramic). Перевірка та валідація: Тестування антен у безеховій камері (Anechoic Chamber) для оцінки ефективності (Efficiency), коефіцієнта посилення (Gain) та діаграм спрямованості (Pattern). RF-Інструментарій: Впевнене володіння та практичний досвід роботи з професійним ВЧ-обладнанням: Векторний аналізатор кіл (VNA) : для вимірювання S-параметрів (Return Loss, Insertion Loss). Аналізатор спектру (Spectrum Analyzer) : для оцінки параметрів передавача (TX Power, Spectrum Mask, EVM). RF-комунікаційний тестер (наприклад, Anritsu/Keysight) або Noise Figure Meter буде перевагою. CAD/Симуляція: Досвід роботи з потужними програмними комплексами для електромагнітного моделювання та дизайну схем: Keysight ADS, CST Studio, HFSS, або Cadence AWR (Microwave Office). Сертифікація та EMC/EMI: Досвід вирішення проблем Електромагнітної Сумісності (ЕМС) та Інтерференції (EMI) на рівні схеми та трасування. Розуміння вимог та практичний досвід проходження міжнародної сертифікації RED (CE) та FCC. Обов"язки: Інженер буде відповідальний за повний життєвий цикл ВЧ-частини продукту: від концепту до масового виробництва. Дизайн та Моделювання: Розробка, моделювання та фіналізація антен для серійних виробів із застосуванням EM-симуляторів (HFSS, CST). Узгодження та оптимізація ВЧ-трактів (Matching Networks) для мінімізації втрат та досягнення 50 Ом імпедансу. Вибір Компонентів та Оптимізація: Вибір найбільш оптимальних за ВЧ-параметрами та вартістю комплектуючих (RF-чіпсетів, фільтрів, PA, LNA) відповідно до технічного завдання. Підбір готових антенних рішень (модулів) під специфічні проектні вимоги. Тестування та Валідація: Проведення к омплексної перевірки параметрів ВЧ-систем (TX/RX performance) у власній та зовнішніх тестових лабораторіях. Аналіз та усунення причин невідповідності параметрів приймача/передавача вимогам стандартів. EMC/EMI та Сертифікація: Моделювання, верифікація та перевірка ЕМС/ЕМІ складних інтегрованих систем на етапах розробки. Консультація відділу сертифікації щодо ВЧ-вимог стандартів (RED, FCC), опрацювання відповідних нормативних документів та перевірка фінальних протоколів тестування. Підтримка Виробництва: Оптимізація існуючих ВЧ-рішень з метою зменшення Розробка та впровадження методів калібрування та тестування RF-параметрів на етапі масового виробництва Ми пропонуємо: можливість пропонувати та реалізовувати власні ідеї, які впливають на продукт та його масове виробництво місце у стрімко зростаючій компанії з вмотивованою професійною командою конкурентну заробітну плату медичне страхування корпоративні заняття з англійської мови можливість взяти участь у внутрішньому проєкті бета-тестування систем безпеки Ajax знижки від компаній-партнерів знижки на продукти компанії. Ajax Systems — це українська історія успіху, яка виросла в глобальний продукт. Пристроям Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації.

Location: Berlin, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior/Leading Software Engineer specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Our client leverage AWS container technologies to build highly scalable, fault-tolerant microservices architecture. They utilize gRPC to design services that are fast enough for high-performance, create interfaces that can evolve over time without breaking existing components and reuse the same communications primitives across a broad platform. You will need to: Design flexible and extensible architectures for new features, components and services Develop new features and continue to improve existing ones Provide code review feedback to other software engineers, considering both style and implementation Improve client’s infrastructure built on AWS WHO WE ARE LOOKING FOR: High quality standards, self-initiative and willingness to take on responsibility More than 8 years of experience (as an orientation) High expertise in Golang and/or Node.js/Typescript Experience with React, Angular 2+ or similar frameworks Core frontend skills like HTML, CSS and Javascript Familiar with Docker, Jenkins, Microservices, MySQL, PostgreSQL Support a culture of knowledge sharing and software best practices Hands-on mentality and strong communication skills Comfortable working independently in a fast-paced environment with the ability to manage multiple projects simultaneously and prioritize effectively Team player and ‘can-do’ attitude and mentoring mindset towards fellow developers Interested in working cross-functionally with other teams Proficient skills in written and spoken English, ideally basic German Beneficial: Entrepreneurial thinking and interest in financial technology and insurances

Location: Austin, Texas, United States; Remote; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the role: Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. Responsibilities: Develop and optimize low-level kernels and runtime components for AI inference Improve performance of inference engines GPU platforms Profile and debug system-level and hardware-level performance issues Integrate support for new hardware architectures (Hopper, Blackwell , Rubin ) Collaborate with ML and backend teams to optimize end-to-end execution Required Qualifications: Strong proficiency in C++ , OR expertise in GPU programming with a focus on low-level high-performance coding and memory management Experience in GPU programming or systems-level software development , e.g. operating system internals, kernel modules, or device drivers Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. Solid understanding of CPU/GPU architecture and memory hierarchy Preferred Qualifications: Experience with GPU computing programming : CUDA, ROCm , CUTLASS, Cute, ThunderKittens , Triton, Pallas, Mosaic GPU Familiarity with ML inference runtimes (e.g. TensorRT , TVM) Knowledge of Linux internals, drivers, or compiler toolchains Experience with tools like perf, VTune , Nsight, or ROCm profiler Familiarity with popular inference engines (e.g. such as vLLM , sglang , TGI) We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Riyadh, Saudi Arabia As a Linux Engineer specializing in Red Hat Satellite at Müller's Solutions, you will play a crucial role in the management and maintenance of our Linux environments, focusing primarily on Red Hat Enterprise Linux systems. Your expertise will help optimize system performance, ensure seamless updates, and enhance overall efficiency through automation and effective management of configurations. You will work closely with development and operations teams to implement best practices and drive innovations in our infrastructure, ensuring security, scalability, and high availability. Key Responsibilities: Deploy, manage, and maintain Red Hat Satellite instances for systems provisioning, configuration management, patching and monitoring. Automate repetitive tasks using scripting languages such as Bash or Python to enhance operational efficiency. Monitor system performance, perform routine upgrades, and troubleshoot issues related to RHEL systems. Implement and enforce best practices for security and compliance within Linux environments. Collaborate with cross-functional teams to identify opportunities for process improvements and automation. Document system configurations, procedures, and changes for future reference. Provide technical support and troubleshooting for Linux servers and related applications. Assist in the planning and execution of system upgrades, migrations, and new deployments. Requirements Requirements: Degree: Bachelor's degree in Computer Science, Information Technology, or a related discipline. Experience: 4-6 years of experience in Linux System Administration, specifically with Red Hat Enterprise Linux. Technical Skills: Proficiency in Red Hat Satellite for systems management, configuration, and automation. Strong knowledge of RHEL (versions 7, 8) including installation, configuration, and maintenance. Experience with scripting (Bash, Python) for automation purposes. Additional Skills: Familiarity with containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure). Knowledge of configuration management tools (e.g., Ansible, Puppet) is a plus. Analytical Skills: Strong problem-solving skills and the ability to troubleshoot complex issues in a timely manner. Collaboration Skills: Excellent communication skills for working with technical teams and presenting findings to stakeholders. Preferred Qualifications: Certifications such as Red Hat Certified Engineer (RHCE) or Red Hat Certified Specialist in Satellite Management are highly regarded. Experience with ITIL processes and methodologies. Familiarity with database management and monitoring tools. Ability to work in a fast-paced, team-oriented environment. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia The Mechanical Engineer will support Oil & Gas EPC projects with a focus on construction management, ensuring compliance with project specifications, industry standards, and Saudi Aramco requirements. The role supports the Jafurah Project through effective technical coordination and professional representation. Key Responsibilities Provide mechanical engineering support across EPC phases, with emphasis on construction management. Review mechanical drawings, specifications, calculations, and vendor submittals. Support site construction, installation, and commissioning activities. Coordinate with engineering, procurement, QA/QC, and construction teams. Ensure compliance with project quality, schedule, and HSE requirements. Mandatory Requirements Bachelor’s Degree in Mechanical Engineering. Minimum 10 years of Oil & Gas experience as a Mechanical Static Engineer. EPC project experience (Engineering, Procurement, Construction). Strong construction management experience. Fluent in English (written and verbal). Preferred PMP certification. Location: Jafurah

Location: San Francisco; New York; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for Members of Technical Staff to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. You may be a good fit if you have: - 5+ years of engineering experience running production infrastructure at a large scale - Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters - Experience with Kubernetes dev and production coding and support - Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving - Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments - Experience in compute/storage/network resource and cost management - Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork - The grit and adaptability to solve complex technical challenges that evolve day to day - Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference. - Strong understanding or working experience with distributed systems. - Experience in Golang, C++ or other languages designed for high-performance scalable servers). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Applied AI team at Ramp is at the forefront of leveraging AI to drive innovation across our platform. We are seeking strong full-stack engineers who are proficient in web frameworks, backend development, and infrastructure. You will work on exciting projects such as AI Agents, Retrieval-Augmented Generation, Structured Extraction (we made https://github.com/1rgs/jsonformer), internal tooling for customer-facing teams, fine-tuning models, and build infrastructure for LLM inference. If you're passionate about working on real production use cases of large language models (LLMs) and want to contribute to groundbreaking AI applications, this role is for you. WHAT YOU’LL DO - Ship full-stack AI projects end to end - Build and integrate components for AI infrastructure, supporting production-level inference and fine-tuning - Develop and improve engineering processes, tools, and systems to scale AI solutions across Ramp - Create tools and internal platforms to enhance the productivity and capabilities of Ramp's AI and engineering teams WHAT YOU NEED - Proficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructure - A track record of working on full-stack AI projects, particularly those involving production use cases of LLMs - Experience building backend systems and infrastructure that can support AI-driven products BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: USA (Remote) Workplace: Remote Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! The Role We are building a full-time internal Red Team to continuously stress-test our own infrastructure. As a security engineer, you won't just be ticking compliance boxes; you will be writing Rust fuzzers, simulating economic attacks on our testnet, and dissecting the EVM to find edge cases in our execution client. We are looking for a builder who understands that the best way to secure a protocol is to try to break it continuously. If you have a history of topping CTF leaderboards, submitting high-severity bug bounties, or building your own security tooling because the standard ones weren't good enough—this role is for you. Responsibilities - Proactively hunt for vulnerabilities in the Tempo protocol, consensus engine, and bridge architecture, treating our mainnet like a continuous CTF challenge. - Design and implement security tooling and automation in liaison with the Foundry team to catch logic errors and edge cases. - Partner with engineering teams to review critical architecture across our codebase. - Analyze incentives and game-theoretic risks within the protocol, such as MEV and staking dynamics, to prevent economic exploits. Qualifications - Fluency in reading and writing production-level code in systems languages, with a strong preference for Rust. - Deep expertise in EVM internals, including intimate knowledge of opcodes, storage slots, gas metering, and precompiles. - Proven track record of offensive security, such as high rankings in CTFs (e.g., Paradigm CTF), high-severity bug bounty submissions, or published research. - Experience building custom security automation or tooling rather than relying solely on off-the-shelf scanners. - Bleeding-edge knowledge of the latest blockchain security research, including recent hacks and how these could have been mitigated. Attributes - High motor - Razor-sharp thinker with precise command of language - Concise, evidence-based communicator - Excellent organizational and logistical skills - Intense curiosity and open-mindedness - Scrappiness; willingness to roll up sleeves - Growth mindset

Location: Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia The O&M Engineer is responsible for supporting the safe, efficient, and reliable operation and maintenance of gas plant and pipeline systems. The role focuses on plant operations, mechanical equipment maintenance, and ensuring asset integrity in compliance with safety and operational standards. Key Responsibilities Perform and support day-to-day operations and maintenance activities for gas plants and pipeline systems. Monitor plant and pipeline performance to ensure safe and efficient operation. Execute preventive, corrective, and breakdown maintenance activities. Maintain mechanical equipment, including static and rotary equipment such as vessels, heat exchangers, pumps, compressors, and valves. Diagnose equipment faults and implement corrective actions to minimize downtime. Support shutdowns, turnarounds, and major maintenance activities. Ensure compliance with health, safety, environmental, and regulatory requirements. Prepare maintenance reports, work orders, and technical documentation. Coordinate with operations teams, contractors, and vendors during maintenance activities. Utilize SAP PM for maintenance planning, execution, and reporting (preferred). Qualifications & Experience Education: University degree in Mechanical Engineering or Chemical Engineering. Experience: 5 - 8 years of experience in operations and maintenance of gas plants and pipelines. Proven experience in plant and pipeline operations. Strong hands-on experience in maintenance of mechanical equipment (static and rotary). Technical Skills: Knowledge of gas processing facilities and pipeline systems. Expertise in mechanical maintenance practices and equipment reliability. SAP PM experience preferred. Skills & Competencies Strong troubleshooting and analytical skills. Good understanding of safety procedures and permit-to-work systems. Ability to work in a team-based operational environment. Effective communication and reporting skills. Attention to detail and commitment to operational excellence.

Location: Al Jubail, Saudi Arabia; Dammam, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia The E & I Engineer is responsible for the safe, reliable, and efficient maintenance and troubleshooting of electrical and instrumentation systems. The role includes ensuring system integrity, supporting cathodic protection systems, and maintaining compliance with operational and safety standards. Key Responsibilities Perform maintenance and troubleshooting of electrical equipment and instrumentation systems. Maintain and monitor cathodic protection (CP) systems to ensure pipeline and asset integrity. Execute preventive, corrective, and breakdown maintenance activities for E&I systems. Inspect, test, calibrate, and maintain instruments such as transmitters, control valves, analyzers, and protection systems. Maintain electrical systems including motors, switchgear, MCCs, transformers, and power distribution systems. Support plant and pipeline operations by ensuring reliable E&I system performance. Participate in shutdowns, turnarounds, and major maintenance activities. Ensure compliance with HSE standards, permit-to-work systems, and regulatory requirements. Prepare maintenance reports, technical documentation, and work orders. Coordinate with operations teams, contractors, and vendors during maintenance activities. Use SAP PM for maintenance planning, execution, and reporting (preferred). Qualifications & Experience Education: University degree in Electrical Engineering or Electronics Engineering. Experience: 5–8 years of experience in maintenance and troubleshooting of electrical equipment and instrumentation. Proven expertise in cathodic protection systems. Technical Skills: Strong knowledge of electrical and instrumentation systems in plant and pipeline environments. Experience with CP system design, monitoring, and troubleshooting. SAP PM experience preferred. Skills & Competencies Strong analytical and troubleshooting skills. Good understanding of electrical safety standards and procedures. Ability to work independently and as part of a multidisciplinary team. Effective communication and reporting skills. High attention to detail and commitment to safety and reliability.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Usability Engineer for our Design Team. User Science is an evolving design discipline at Canonical. While we have long incorporated diverse research on user needs into our products, the mission of the newly formed User Science team is to expand beyond traditional models of UX research, integrating user needs end-to-end in development processes and quality standards across the company. This mission requires skillful advocacy as well as organizational learning and change. As process pioneers, we draw insights from others, foster collaborative user research cultures, and constantly innovate with frameworks and standards. Location: This role will be based remotely in the EMEA region. The role entails Collecting and synthesizing user data: Developing user insights in diverse formats, scientifically analyzing data from A/B tests, usability studies, and other methodologies to create compelling findings. Prototyping for impact: Building lightweight prototypes, data visualization dashboards, or automation scripts to enhance broader consumption of research. Responding to audience needs: Calibrating research presentations with sensitivity and precision in a highly technical environment, understanding what level of depth is right for each stakeholder. Promoting a data-informed culture: Working closely with process, product, and engineering teams to integrate user research into existing decision-making flows. Building research scalability and interoperability: Strengthening research ops infrastructure, making key methodologies more accessible, actionable, and repeatable. Fostering a learning culture: Contribute to the evolving definition of User Science through user-centered training, resource development, and outreach. What we are looking for in you Exceptional academic track record from both high school and university Bachelor’s or Master’s degree in a related field such as Design, Engineering, Data Science or similar, or a compelling narrative about your alternative chosen path. User research expertise: Proficiency in both qualitative and quantitative user research methodologies, including user interviews, usability testing, A/B testing, surveys, and data analysis. Tinkerer mindset: A passion for hacking, exploring, and building creative solutions, whether through technical prototyping, scripting, or research tooling. A degree of technical fluency: Ability to quickly pick up technical concepts, engage deeply with engineering and process optimization teams, and contribute to cross-functional discussions. A talent for optimization: A strong alignment towards building research ops, systematizing best practices, and creating frameworks for broader knowledge-sharing. Finely tuned communication skills: Impeccable verbal and written communication abilities, characterized by warmth, precision, and a commitment to maintaining high-quality standards. Portfolio: A robust portfolio showcasing a range of user research, design, or engineering projects that show a talent for exploration, optimization, and transforming insights into action. Nice to have skills Experience with Linux. Some conceptual knowledge of container tech (such as LXD, Docker, Kubernetes), OpenStack deployment or operations, or public or private cloud management. Some experience with or interest in data analysis frameworks in Python (e.g. pandas, seaborn), R, MATLAB or similar. A proven track record of contributing to Open Source projects or communities. A passion for aesthetics, visualization, or design. What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits below, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote