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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: 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

Location: New York, NY Workplace: OnSite ABOUT THE COMPANY Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. OUR ETHOS We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. ABOUT THE TEAM The fraud risk management team at Rain creates sophisticated, scalable risk mitigation solutions to protect our customers and deliver a low-friction experience. We achieve this by maintaining transaction and lifecycle event monitoring, building alerts to speed fraud detection and response, and creating risk rules and strategies powered by ML models. We are a pillar of the business, supporting new products and ensuring their success. Rain’s next-generation payment technology introduces new fraud vectors that require holistic, end-to-end thinking, strong data fundamentals, and fraud management savvy to combat. WHAT YOU’LL DO - Architect and build scalable ML systems for fraud detection, anomaly detection, and behavioral analysis - Develop and maintain end-to-end ML pipelines: data ingestion, feature engineering, model training, deployment, and continuous monitoring - Design and implement low-latency, real-time decision systems partnering with fraud risk data scientists, integrating with transaction or behavioral data streams - Own ML infrastructure, including model versioning, automated retraining, and safe deployment strategies (e.g., shadow, rollback) - Build robust monitoring and alerting for model performance, latency, data quality, and drift - Lead experimentation on model explainability, drift detection, and adversarial robustness for fraud prevention use cases - Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle - Partner with platform teams to meet strict SLAs for availability, latency, and accuracy - Collaborate closely with talented engineers, data scientist and compliance teams across Rain - Work in a fast-paced environment on a rapidly growing product suite - Solve complex problems at the intersection of ML systems, data, and reliability WHAT WE'RE LOOKING FOR - 5+ years of experience building ML systems in production; at least 2+ in fraud, risk, or anomaly detection domains - A degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Proven track record designing and maintaining ML models at scale - Advanced proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn) - Strong understanding of supervised/unsupervised learning, anomaly detection, and statistical modeling - Ability to work autonomously, manage ambiguity, and collaborate closely with data scientists to translate analytical models into robust fraud prevention systems - Experience developing, validating, and productionalizing predictive real-time and offline fraud detection models using supervised and unsupervised ML techniques - Experience collaborating with cross-functional teams to prioritize, scope, and deploy MLI solutions at scale NICE TO HAVE, BUT NOT MANDATORY - Domain expertise in banking, payments, or transaction monitoring - Experience with graph-based or network-level fraud detection techniques - A graduate degree in Computer Science, Engineering, Statistics, Applied Math, or a related technical field - Experience fine-tuning or adapting generative AI / large language models for pattern generation or synthetic data augmentation (in partnership with data science) - Knowledge of model governance, bias mitigation, and regulatory compliance in fraud contexts THINGS THAT ENABLE A FULFILLING, HEALTHY, AND HAPPY EXPERIENCE AT RAIN: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: San Francisco, CA 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 We're looking for a Software Engineer to join the team building Claude Security. In this role, you'll take new security capabilities in frontier models and turn them into products that customers can rely on, working across the full stack from early prototype through production. This role sits close to both research and go-to-market. You'll work with researchers on the team to understand what the models can do and where they fall short, and with customers and partners to understand which problems are worth solving for them. You'll be expected to form your own view from both and to own significant pieces of the roadmap, including deciding what not to pursue. The right candidate is a strong generalist engineer with the technical depth to engage with research, the product instincts to know what's worth building, and the drive to move fast. Prior security experience is useful but not required; range across the stack and good judgment about what to build matter more. Responsibilities Build and ship user-facing and/or backend features for Claude Security Build the agent loops, tool integrations, and enabling infrastructure for cybersecurity products Collaborate tightly with product managers and go-to-market to understand user needs, shape feature scope, and make informed tradeoffs as you build Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis Collaborate with research teams to identify and develop new model capabilities for security applications You may be a good fit if you: Contribute across the stack, from front-end UI to back-end infrastructure Are proficient in TypeScript, Python, and/or Go and have experience building distributed systems Enjoy fast iteration and are energized by prototyping new ideas Are comfortable working closely with research and go-to-market teams Have strong communication skills and can work effectively across functions Have 7+ years of experience as a software engineer Strong candidates may also have: Experience building client-side terminal applications Experience developing cybersecurity products Experience in incident response, reverse engineering, network analysis, penetration testing, or similar fields Experience building skills, plugins, or hooks in Claude Code or similar tools Experience building with Claude Managed Agents or similar frameworks Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $405,000 — $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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE We’re looking for Research Engineers to contribute to our ambitious research agenda spanning multimodal foundational models, interactive world modeling, and real-time generation. This role is highly collaborative and will touch many aspects of our broader research efforts, taking a full-stack approach across pretraining, SFT/RL post-training techniques, evaluation, and bringing models to production. WHAT YOU’LL DO - Run experiments to teach world models new behaviors — action following, scene manipulation, camera control, and beyond - Develop and test new data strategies, architectural variants, and training techniques - Design evaluations that measure model capabilities, and use them to drive model improvement - Take features from research prototype to production, collaborating with product and creative teams to address application-specific gaps - Contribute across the entire stack (data pipelines, modeling, production inference) to move projects forward WHAT YOU’LL NEED - 4+ years of experience in machine learning research or engineering - Familiarity with the architecture, training, and inference of large-scale multimodal generative models - Experience building robust data pipelines for pretraining and post-training - Comfort working across the full research stack: data, training, evaluation, and deployment - Proficiency with at least one ML framework (e.g. PyTorch, JAX) and experience with distributed training at scale - Ability to context-switch quickly and drive projects forward in a fast-moving, ambiguous environment - Excitement about building AI that simulates the world Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Задачи: — Ручное и автоматизированное тестирование ПО — Разработка и поддержка автотестов на Java — Тестирование REST API — Взаимодействие с базами данных с использованием SQL — Поиск и анализ корневых причин ошибок Требования к кандидату: — Опыт в QA от 2 лет (manual + automation) — Уверенное знание Java и опыт написания автотестов — Понимание клиент-серверной архитектуры — Опыт тестирования REST API (Postman / Swagger) — Опыт автоматизации UI и/или API (JUnit / TestNG / Selenium / Selenide / RestAssured) — Работа с SQL, умение писать простые запросы — Понимание принципов CI/CD (Jenkins, GitLab CI — будет плюсом) — Опыт работы с Git — Внимательность к деталям и умение находить root cause, а не только баги — Будет плюсом: опыт нагрузочного тестирования, опыт работы в Agile / Scrum командах, понимание микросервисной архитектуры Условия работы: — Релокация в Ташкент, Узбекистан (рассматриваем кандидатов с переездом) — Полная занятость (full-time) — Работа в офисе или гибридный формат

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. ABOUT THE ROLE We are hiring a mid-level Data Engineer for our team.   Become a part of a team of data specialists who take care of massive amounts of data and groundbreaking technologies. Your work will be driving and empowering efficient and successful decentralised domain data ownership and data consumption, for example, around car pricing intelligence or deliveries. When needed, you can participate in the evolution and optimisation of our data stack, helping domains to ingest, process and consume data across the company. You will also play an active role in driving our agentic evolution roadmap. While being part of a central team of data engineers across Portugal, Poland and Spain, you will be embedded in cross-functional packs on a rotational basis. You will work closely with product managers, software engineers, product analysts, data scientists and regional business partners to identify and design new data projects and guide them through successful delivery and validation from end to end. What you will be doing: Enable efficient consumption of domain data as a product by delivering and promoting strategically designed actionable datasets and data models Build, maintain, and improve rock-solid data pipelines using a broad range of technologies Support teams without data engineers in building decentralised data solutions and product integrations. Build data pipelines in our Lakehouse using Medallion architecture. Act as a data ambassador, promoting the value of data and our data platform among engineering teams and enabling cooperation Cooperate with product teams to look for opportunities to integrate data into our end products and streamline source data so that data is cleaner earlier in the process Follow and promote data mesh principles around decentralised data ownership and ‘data as a product’ Promote and uphold privacy-by-design principles, ensuring sensitive data is managed in strict compliance with established security and privacy standards Increase data literacy of the engineering organisation by hosting training and mentoring other engineers (both less experienced data engineers and software engineers) Help advance agentic systems tailored for data engineering through the creation of specialized skills and agents. Who we are looking for: +2 years of experience building complex data pipelines and working with both technical and business stakeholders. Ability to think creatively; highly driven and self-motivated Master of SQL language regardless of the underlying data technology. Writes efficient, easy-to-read, and crisp SQL code. Familiarity with Medallion architecture. Experience with designing for scale and data growth in terms of storage and performance Business and product understanding (why over what) and the ability to deal with ambiguity Consistent track record of successful data projects delivered and managing their lifecycle Potential to build rock-solid Python applications - writes understandable and maintainable code Experience with cloud data technologies (AWS, GCP, or Azure Cloud), such as Redshift, Spark, Trino, Iceberg, Airflow. Knowledge and curiosity about other big data technologies and tools Experience with analytics teams and translating business terms and KPI to technical requirements Experience with defining and measuring data quality such as Monte Carlo or Great Expectations. Familiarity with Claude Code and/or Cursor, skills and AI agents Excellent written and verbal proficiency in English Based in Poland Our hiring process: Recruiter Interview Hiring Manager Interview Technical Interview Our benefits: Permanent contract (we are not offering a B2B option) Salary + annual bonus up to 15% of your annual gross salary IP Rights’ Costs (tax-deductible costs up to 70%) Work with and impact all OLX websites across Europe Train and conference budget A benefits package with 330 points on the Mybenefit platform per month, private medical care provided by Luxmed, Ask Henry services, and much more 100% remote work (and the possibility to work from our offices in Poznan and Warsaw) Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: India HeadSpin, a PartnerOne company, is an AI-powered testing platform that enables real-world testing on SIM-enabled mobile devices, browsers, Smart TVs, and OTT devices across 50+ global locations, with flexible cloud and on-premises deployment options. It offers deep performance insights through AI-driven analytics, 130+ built-in KPIs, session-based data, and features like waterfall UI, root cause analysis, UX monitoring, and regression intelligence. Supporting 60+ automation frameworks, including Appium, Selenium, Playwright, and XCUITest, HeadSpin ensures seamless integration without vendor lock-in. With enterprise-grade security, a robust REST API library, and no need for SDK or code changes, it simplifies testing across workflows. Businesses using HeadSpin report 68% less QA time, 90% fewer production issues, 30% faster development, and improved load times and user retention. ‍ About the Role You will create scripts using Appium, and Selenium using Python/java. You will become Appium Pro certified and work with top-tier customers.  You must enjoy testing mobile UIs and automating them in both Android and iOS. What You'll Do Write automation code for mobile applications Capture data and complete analysis on mobile applications Create dashboards with the data captured and provide it to the customer Assist customer with automation where applicable Understanding of iOS and Android applications and UI structure and building tooling to automate interactions Deep knowledge of Appium and Appium Desktop internals A working understanding of mobile frameworks like Espresso and XCTest Developing/evolving production-grade web services and agents written in Python and Tornado Being a member of a highly motivated team pushing all the boundaries in the mobile testing space Maintain automation test framework to ensure continuous quality of products Maintain existing testing codebases Collaborate with software engineers and testers to develop rigorous test cases Identify, record, document thoroughly and track bugs Ensure the quality of all code and products produced by the company Help customers get the best value out of Headspin Performs other duties as required ‍ What You Need BS in Software Engineering, Computer Science or a similar field 0-2 years of hands-on experience in software development or SQA Self-motivated, creative, focused, results-oriented, problem solver In-depth knowledge of at least one programming language (Python, Java) Strong skill set with MySQL or other databases. Ability to read & write SQL queries Good with Linux/Unix environment Strong knowledge of software QA methodologies, tools and processes General knowledge of Appium (mobile automation tool) or Selenium (web automation tool) Proficiency with automation testing tools Strong verbal and written communication abilities Android and or iOS development Agile / Scrum Experience Strong troubleshooting skills Ability to collaborate with engineers and content creators

Location: San Francisco, CA | New York City, NY 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 member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability. Responsibilities: Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success Partner with account executives and Applied AI Architects to translate customer business requirements into technical solutions Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites Lead hands-on technical workshops and code reviews with customer engineering teams Identify common design patterns and contribute insights back to our Product and Engineering teams Create scalable public and internal assets documenting the latest LLM prompting, eval, agentic, and architecture techniques Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks Travel occasionally to customer sites for workshops, implementation support, and building relationships Attend conferences, lead speaking engagements, and write blog posts and white papers on topics surrounding the AI space You may be a good fit if you have: 4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers. Former technical founders are also encouraged to apply. Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale Strong programming skills with proficiency in Python or TypeScript and experience building production applications Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity Passion for advancing safe, beneficial AI systems through creative technical applications Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach Please note this role requires 3 days in office per week. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: $200,000 — $320,000 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.