Вакансии

Нужен full-stack / AI-инженер для приложения по учёту питания. • Опыт интеграции с LLM-провайдерами (AWS Bedrock, Anthropic, OpenAI и аналогичные).

The Full-Stack Platform Engineer provides senior technical leadership and hands-on engineering for a secure enterprise data analytics platform supporting a federal environment.

Location: Spain; Poland At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them to take ownership and contribute at every level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Staff Full-Stack Software Engineer with strong AI expertise to join our team and contribute to the development of complex, large-scale technology solutions for our international client. About the project Our client, Blackhawk Network (BHN) , is a global leader in branded payments, gift cards, and digital commerce solutions. The company operates a large ecosystem of platforms and services supporting gift card issuance, distribution, payment processing, redemption, and reloads. Its portfolio also includes digital gift cards, incentives, rewards, promotional products, and various digital payment solutions. BHN develops and maintains multiple e-commerce platforms and core services that power the management and distribution of these products across a complex international ecosystem. You will have the opportunity to work in a large-scale engineering environment, collaborating with distributed teams across the United States, India, and EU locations. About the role As a Staff Full-Stack Software Engineer , you will play a key technical role in designing, developing, and evolving scalable software solutions. This is a highly hands-on engineering position that combines deep technical expertise, architectural thinking, and the ability to influence engineering decisions across multiple teams. We are looking for an engineer who can confidently navigate complex technical challenges, take ownership of end-to-end solutions, and contribute to the adoption of modern engineering practices, including AI-driven technologies. Technology flexibility is important to us. While experience with JavaScript/TypeScript ecosystems or Java is preferred, we are open to engineers with strong expertise in other modern technology stacks. As a qualified expert You will Design, develop, and maintain scalable, reliable, and high-performance full-stack applications and services. Take technical ownership of complex engineering initiatives, from solution design and architectural decisions to implementation and delivery. Contribute to system architecture, ensuring scalability, maintainability, security, and long-term technical sustainability. Work hands-on across frontend, backend, APIs, integrations, and cloud-based components. Collaborate with engineering teams to identify technical challenges, evaluate trade-offs, and implement effective solutions. Explore and apply AI technologies and AI-assisted engineering practices to improve development efficiency, solution quality, and product capabilities. Provide technical guidance, share engineering best practices, and support other engineers in solving complex problems. Drive improvements in code quality, engineering standards, system performance, and development processes. Collaborate closely with product managers, architects, engineers, and business stakeholders to translate requirements into effective technical solutions. Communicate architectural decisions and technical trade-offs clearly to both technical and non-technical audiences. Work effectively with geographically distributed, cross-functional teams in a multicultural environment. We're looking for you if you have Technical expertise Extensive hands-on experience in software engineering, with a strong background in full-stack application development. Deep understanding of software architecture, system design, design patterns, and engineering best practices. Proven ability to design and deliver complex, scalable, and maintainable software solutions. Strong proficiency in modern backend and frontend technologies. Experience with Node.js, TypeScript, JavaScript, React, Next.js, or Java is preferred, but other technology stacks are welcome. Solid experience with API design, distributed systems, service integrations, and modern application architectures. Good understanding of AWS cloud infrastructure, services, and cloud-native application development. Experience working with complex systems in large-scale engineering environments. Strong problem-solving skills and the ability to make independent, well-reasoned technical decisions. Ability to balance hands-on implementation with broader architectural and technical responsibilities. AI expertise Strong practical understanding of modern AI technologies, their capabilities, limitations, and potential applications in software engineering. Hands-on experience applying AI technologies or advanced AI-assisted development approaches to real engineering challenges. Familiarity with LLMs, generative AI technologies, and modern AI development tools and frameworks. Ability to evaluate opportunities for AI adoption, identify appropriate use cases, and assess technical feasibility. Understanding of how AI can be incorporated into software development workflows or product functionality to deliver measurable value. Communication and leadership Excellent communication and interpersonal skills, with the ability to collaborate effectively across multiple teams and disciplines. Proven experience working with distributed, international, and multicultural engineering teams. Ability to communicate effectively with stakeholders at different levels, including engineers, architects, product teams, and business representatives. Strong technical leadership skills, including the ability to influence architectural decisions, facilitate technical discussions, and drive alignment across teams. Proactive mindset, strong ownership, accountability, and the ability to work independently in a complex organizational environment. Ability to navigate ambiguity, manage competing priorities, and build productive relationships across teams. Upper-Intermediate (B2+) English or higher , with confidence in technical discussions and stakeholder communication. Bonus Points Experience working with large enterprise platforms, e-commerce systems, digital payments, or fintech solutions. Experience with AI-powered product features, LLM integrations, RAG architectures, or other applied AI solutions. Experience optimizing engineering processes through AI-powered automation. Experience contributing to architecture and technical strategy across multiple engineering teams. Previous experience in a Staff Engineer, Principal Engineer, or similar technical leadership role. What's in it for You Reveal great tech solutions. Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment. Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth. Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about. Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with Recruiter Technical Interview Managerial Interview Client Interview

Senior Fullstack Engineer для подписочного AI-продукта. Опыт коммерческой разработки от 4 лет, обязательно с опытом работы в продуктовой компании.

Zадачи: — Создание Telegram бота и удобного Mini App (онлайн интерфейс бронирования) для различных видов услуг; — Разработка системы выбора специалиста/услуги, просмотра свободного времени и бронирования; — Создание панели управления для специалистов (сотрудников) для контроля расписания и обработки заказов; — Обеспечение стабильной работы бота и Mini App, исправление ошибок и работа с базой данных. Требования: — Практический опыт создания Telegram ботов и Mini App (наличие портфолио); — Знание Python (Aiogram / Telebot) или Node.js и Frontend технологий (React/Vue или HTML/JS); — Умение качественно выполнять задачи в сжатые сроки (MVP); — Ответственность и умение работать самостоятельно; — Навыки видеомонтажа будут преимуществом. Условия: — Возможность реализовать свои идеи и стать частью стартовой команды IT стартапа; — Справедливая система оплаты, разделённая на части в зависимости от объёма работы; — Возможность долгосрочного сотрудничества и участия в развитии проекта.

• Спроектировать пользовательский сценарий: выбор филиала, просмотр свободных слотов, подтверждение записи и отмена через инлайн-кнопки. • Реализовать фронтенд мини-приложения на React с адаптивной вёрсткой под тёмную и светлую темы Telegram WebApp API.

-От 4 лет коммерческой разработки, из них не менее 2 лет на Go. -Go: HTTP и gRPC API, конкурентность, тестирование.

Location: Remote - Argentina; Brazil; Colombia; Costa Rica; Mexico Why you’ll love this role: As a Full Stack Engineer supporting the Marketing department at Newsela, you will keep our websites fast, reliable, and fresh, and build the integrations and programs that help them perform. Marketing relies on its web presence to tell our story, generate demand, and measure what works, and you will be the engineer who makes that possible. This is a hands-on role for an engineer who wants to deliver high-quality work, build strong habits around velocity and craft, and grow alongside experienced teammates. You will own assigned features from implementation through release, with guidance on scoping and design from senior engineers, and you will use AI tools as a standard part of how you build, test, and troubleshoot. You will partner closely with Marketing, Engineering, Product Management, and Product Design to turn real business needs into clear, actionable work, and then ship it. What You'll Be Doing: Deliver High-Quality Work, On Time: Write high-quality, well-tested code across our marketing websites and campaign landing pages using AI-assisted development practices to maintain high velocity and standard-setting execution. Own Features from Implementation to Release: Own assigned web features, interactive tools, and campaign landing pages through build, testing, and launch, with guidance on architecture and scoping from senior engineering partners. Maintain and Improve Our Websites: Handle the ongoing maintenance, updates, and enhancements that keep our marketing sites accurate, secure, and performing well for visitors and for the Marketing team. Build Integrations, Data Pipelines, and MarTech Connections: Help build, integrate, and maintain connections between Webflow, Marketo, Salesforce, and internal APIs to ensure accurate lead flow, data hygiene, and robust analytics tracking (GA4, GTM, RedTrack, Pendo, and DataGrail). Write Well-Tested Software: Meet the team’s quality bar with thoughtful automated and manual testing, incorporating AI-assisted development practices as part of your standard workflow. Help Validate AI-Integrated Features: Contribute to the testing and validation of AI-integrated features, with support from senior engineers on evaluation approach. Turn Ambiguity into Action: Partner with Engineering, Product Management, and Product Design to understand requirements and raise the questions that sharpen ambiguous work into clear, actionable tasks. Contribute to Reliable Systems: Follow best practices for observability and quality, and use AI tooling to help troubleshoot and resolve issues quickly. Support Privacy & In-App Ops: Assist with user onboarding and event tracking in Pendo while supporting automated compliance, consent management, and privacy workflows via DataGrail. Support Smooth Production Releases: Follow established deployment practices and monitor system stability after release so launches land cleanly. Why you’re a great fit: 2+ years of professional experience in software engineering, ideally with exposure to marketing websites, web applications, or similar customer-facing products. Full Stack & Webflow Foundation: Hands-on experience developing within Webflow supported by strong foundational front-end skills (HTML5, CSS/SCSS, JavaScript) and back-end integration capabilities. Analytics & Tagging Expertise: Demonstrated experience configuring tags, triggers, variables, custom event listeners, and data pipelines in Google Tag Manager (GTM), RedTrack, and Google Analytics (GA4). MarTech Ecosystem: Exposure to or experience working with enterprise marketing platforms (Marketo, Salesforce) and product analytics/experience tools (Pendo). Quality-Minded: Experience writing well-tested software, using version control and code review, and following established deployment practices. AI-Fluent Builder: Enthusiasm for using AI tools in your daily workflow for development, testing, and troubleshooting, along with good judgment about when to trust and when to verify their output. Privacy & Compliance Awareness: Knowledge of privacy/consent operations (such as DataGrail) and web compliance standards (GDPR, CCPA). Collaborative Communicator: Clear written and verbal communication in English, and the ability to ask sharp questions, work with non-technical partners, and turn loosely defined requests into well-scoped tasks. Self-Directed Contractor: Reliable, organized, and comfortable owning your work in a remote, asynchronous environment, with the ability to overlap with our team during Eastern Standard Time (EST) core working hours. Additional Role Details: This contract position is paid a monthly rate (USD). This person must be located in one of the following countries: Argentina; Brazil; Chile; Colombia; Costa Rica. Please note that given the nature of the position, this role will not be eligible to participate in company-sponsored benefits. The contract is estimated to last 12 months with the potential for extension, though an extension is not guaranteed. All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process. Why you’ll love working at Newsela: Work From Home: We are a fully remote company! Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers! About Newsela: Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner. #LI-Remote

• Create and solve realistic full-stack tasks involving user-facing features and APIs. • Trace requests and data across browsers and back-end services to judge whether an AI implementation works correctly.

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Fullstack AI Product Engineer Middle United States Office APPLY NOW REFER A FRIEND See the impact you make as an Applied AI Software Engineer delivering production‑ready solutions from day one. What project we have for you Our client is seeking an Applied AI Software Engineer to design, build, and deliver internal tools that improve the day-to-day effectiveness of engineering teams across requirements, validation, and UX/UI functions. The engineer will develop production-ready, AI-enabled applications that integrate existing models, LLM APIs, and AI services into practical business workflows. Typical solutions may include tools that generate engineering reports from structured inputs and prompts, or video-analysis workflows that identify activities in uploaded video, capture time-stamped events, and produce concise summaries. This is an execution-focused software engineering role, not an AI/ML research or model-development position. The successful candidate will use technologies such as Python, JavaScript/React, and AWS services to build reliable end-to-end pipelines, user-facing applications, and integrations that meet enterprise quality, security, and usability expectations. Working closely with engineers and cross-functional stakeholders, the candidate will help turn operational needs into maintainable AI-enabled tools and deliver them through established development practices. This is a full-time, fully onsite position in Raymond, Ohio, performed five days per week during standard business hours. What you will do Independently engage with requirements, validation, UX/UI, and other engineering stakeholders to understand current workflows, pain points, process gaps, and opportunities for automation or AI-enabled improvement. Elicit and clarify ambiguous business needs; translate them into practical problem statements, user journeys, functional requirements, acceptance criteria, technical designs, and incremental delivery plans. Assess solution options and independently recommend appropriate architecture, AI services, cloud platforms, frameworks, and implementation approaches based on user value, technical feasibility, security, maintainability, cost, delivery timeline, and the existing engineering environment. Design, develop, test, deploy, and maintain internal AI-enabled software tools that improve engineering productivity and operational workflows. Build end-to-end applications and pipelines that process engineering artifacts and data—including documents, spreadsheets, structured data, images, and video and produce useful outputs such as reports, summaries, classifications, etc. Integrate and orchestrate existing AI capabilities, including LLM APIs, managed AI services, computer-vision tools, and supporting libraries. This role focuses on applying existing models and services rather than training or developing foundational AI/ML models. Develop maintainable backend services, APIs, data-processing logic, and automation primarily in Python; contribute to JavaScript/TypeScript and React-based user interfaces where needed. Create prototypes or proof-of-concepts when useful to validate technical feasibility and user value, then evolve validated concepts into secure, reliable, supportable production solutions. Establish appropriate AI-output evaluation and validation methods, including test cases, structured output controls, error handling, observability, logging, and human review where the workflow requires it. Collaborate closely with cross-functional teams throughout discovery, implementation, testing, rollout, and continuous improvement; communicate scope, decisions, trade-offs, status, risks, dependencies, and technical limitations clearly. Participate in technical design reviews, code reviews, testing, troubleshooting, release activities, and ongoing support; maintain clear technical documentation, user guidance, and required project records. Perform assigned duties independently and in a timely, accurate, and professional manner. Adhere to organizational policies, procedures, security expectations, and applicable quality and safety requirements. What you need for this Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, a related technical field, or equivalent practical experience. Two or more years of professional experience in software engineering, including building, delivering, and maintaining production-quality applications, services, or internal tools. Strong proficiency in Python, including writing clean, maintainable, testable code and debugging software issues. Hands-on experience integrating existing AI capabilities into software solutions, such as LLM APIs, managed AI platforms, computer-vision services, or AI libraries. Experience building backend services, APIs, data-processing workflows, automation, or system integrations. Experience developing and deploying cloud-based applications using AWS, Azure, GCP, or similar platforms. Ability to evaluate technical options and recommend practical tools, frameworks, and architecture approaches based on user needs, security, maintainability, delivery timeline, and existing team capabilities. Ability to work effectively within established architecture, coding standards, version-control practices, and software-development processes with minimal onboarding. Experience collaborating with engineering and non-engineering stakeholders to translate operational needs into practical technical solutions. Strong written and verbal communication skills, including the ability to document technical decisions, communicate trade-offs, and clearly report delivery status, risks, and dependencies. Ability to work full-time, onsite in Raymond, Ohio, five days per week during standard business hours. Preferred Qualifications Experience with AWS services; the current team primarily uses AWS, with services such as S3, Lambda, EC2, Bedrock, IAM, CloudWatch, and API Gateway potentially relevant depending on the solution. Experience with JavaScript or TypeScript and React for internal web applications. Experience applying generative AI to business or engineering workflows. Familiarity with prompt engineering, structured outputs, model evaluation, retrieval-augmented generation (RAG), and validation methods for AI-generated results. Experience working with enterprise engineering artifacts and data sources, such as Excel files, documents, video, databases, or structured and unstructured data. Familiarity with Docker, CI/CD pipelines, automated testing, infrastructure-as-code, application monitoring, and production deployment practices. Familiarity with secure development, identity and access management, data privacy, logging, and responsible-AI practices. Experience working in agile or another structured enterprise software-development environment. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success. Skills AI AWS Python

-Развивать веб-приложения, backend, REST API и внешние интеграции. -Проектировать архитектуру и модели данных.

• От 4 лет коммерческой разработки, из них не менее 2 лет на Go. • Go: HTTP и gRPC API, конкурентность, тестирование.

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Spain and Germany. About Grafana Cloud Observability Grafana Cloud is our fully managed observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to use the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining and scaling their own observability stack. Within the Observability department, we build products that help customers understand and troubleshoot their applications and infrastructure. We work closely with product management, design and other engineering squads to provide seamless and highly curated experiences for our customers. The squad: Database Observability We build and evolve Grafana Cloud Database Observability. We want to help users understand the health and performance of their databases, identify slow queries and troubleshoot issues through clear, actionable insights. As a frontend engineer on the squad, you’ll build experiences that make complex database telemetry easy to explore and understand. You’ll work closely with backend engineers, product management and design to take ideas from early exploration through to production and improve them based on customer feedback. Our frontend stack is primarily TypeScript and React, interacting with backends written in Go. Your primary focus will be frontend engineering, with opportunities to work across the stack, contributing to APIs and backend functionality to deliver complete customer experiences. Frontend engineers at Grafana also have opportunities to contribute to open source communities. The opportunity: Own technical projects from problem framing through rollout, including getting user feedback and measuring whether what you shipped actually worked. Collaborate with Product Management, Product Design and backend engineers to build intuitive user experiences using clean, reusable components, contributing to supporting APIs and backend functionality where needed. Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the software you help build, contributing to incident response and learning from incidents. Provide technical support in customer escalations and help us identify areas of high friction to address. Collaborate with other squads on shared dependencies, contribute to design proposals, and share the team’s work through demos and technical discussions. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Strong frontend engineering experience, with experience across the stack. You have experience building and maintaining production web applications with React and TypeScript, and are comfortable contributing to backend services and APIs. You value maintainability, readability, automated testing and secure development practices. Technical ownership. You have solid experience delivering complex projects, mentoring other engineers and helping teammates work more effectively. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions , building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset. You use AI coding tools thoughtfully to improve productivity and quality, validate their output, and share useful practices with teammates. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus Points for Open-source contribution or maintainership, and comfort engaging a community in the open. An active interest in observability (metrics, logs and traces) and experience with tools like Grafana, Prometheus or other observability platforms. Experience with databases, SQL or database performance monitoring. Experience building backend services in Go. Experience as an on-call user of Grafana, Prometheus, Loki or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. Compensation & Rewards: In Spain, the base compensation range for this role is €85 ,000 - €107,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Spain and Germany. About Grafana Cloud Observability Grafana Cloud is our fully managed observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to use the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining and scaling their own observability stack. Within the Observability department, we build products that help customers understand and troubleshoot their applications and infrastructure. We work closely with product management, design and other engineering squads to provide seamless and highly curated experiences for our customers. The squad: Database Observability We build and evolve Grafana Cloud Database Observability. We want to help users understand the health and performance of their databases, identify slow queries and troubleshoot issues through clear, actionable insights. As a frontend engineer on the squad, you’ll build experiences that make complex database telemetry easy to explore and understand. You’ll work closely with backend engineers, product management and design to take ideas from early exploration through to production and improve them based on customer feedback. Our frontend stack is primarily TypeScript and React, interacting with backends written in Go. Your primary focus will be frontend engineering, with opportunities to work across the stack, contributing to APIs and backend functionality to deliver complete customer experiences. Frontend engineers at Grafana also have opportunities to contribute to open source communities. The opportunity: Own technical projects from problem framing through rollout, including getting user feedback and measuring whether what you shipped actually worked. Collaborate with Product Management, Product Design and backend engineers to build intuitive user experiences using clean, reusable components, contributing to supporting APIs and backend functionality where needed. Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the software you help build, contributing to incident response and learning from incidents. Provide technical support in customer escalations and help us identify areas of high friction to address. Collaborate with other squads on shared dependencies, contribute to design proposals, and share the team’s work through demos and technical discussions. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Strong frontend engineering experience, with experience across the stack. You have experience building and maintaining production web applications with React and TypeScript, and are comfortable contributing to backend services and APIs. You value maintainability, readability, automated testing and secure development practices. Technical ownership. You have solid experience delivering complex projects, mentoring other engineers and helping teammates work more effectively. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions , building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset. You use AI coding tools thoughtfully to improve productivity and quality, validate their output, and share useful practices with teammates. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus Points for Open-source contribution or maintainership, and comfort engaging a community in the open. An active interest in observability (metrics, logs and traces) and experience with tools like Grafana, Prometheus or other observability platforms. Experience with databases, SQL or database performance monitoring. Experience building backend services in Go. Experience as an on-call user of Grafana, Prometheus, Loki or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 107,000 - EUR 134,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Spain and Germany. About Grafana Cloud Observability Grafana Cloud is our fully managed observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to use the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining and scaling their own observability stack. Within the Observability department, we build products that help customers understand and troubleshoot their applications and infrastructure. We work closely with product management, design and other engineering squads to provide seamless and highly curated experiences for our customers. The squad: Database Observability We build and evolve Grafana Cloud Database Observability. We want to help users understand the health and performance of their databases, identify slow queries and troubleshoot issues through clear, actionable insights. As a frontend engineer on the squad, you’ll build experiences that make complex database telemetry easy to explore and understand. You’ll work closely with backend engineers, product management and design to take ideas from early exploration through to production and improve them based on customer feedback. Our frontend stack is primarily TypeScript and React, interacting with backends written in Go. Your primary focus will be frontend engineering, with opportunities to work across the stack, contributing to APIs and backend functionality to deliver complete customer experiences. Frontend engineers at Grafana also have opportunities to contribute to open source communities. The opportunity: Own technical projects from problem framing through rollout, including getting user feedback and measuring whether what you shipped actually worked. Collaborate with Product Management, Product Design and backend engineers to build intuitive user experiences using clean, reusable components, contributing to supporting APIs and backend functionality where needed. Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the software you help build, contributing to incident response and learning from incidents. Provide technical support in customer escalations and help us identify areas of high friction to address. Collaborate with other squads on shared dependencies, contribute to design proposals, and share the team’s work through demos and technical discussions. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Strong frontend engineering experience, with experience across the stack. You have experience building and maintaining production web applications with React and TypeScript, and are comfortable contributing to backend services and APIs. You value maintainability, readability, automated testing and secure development practices. Technical ownership. You have solid experience delivering complex projects, mentoring other engineers and helping teammates work more effectively. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions , building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset. You use AI coding tools thoughtfully to improve productivity and quality, validate their output, and share useful practices with teammates. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus Points for Open-source contribution or maintainership, and comfort engaging a community in the open. An active interest in observability (metrics, logs and traces) and experience with tools like Grafana, Prometheus or other observability platforms. Experience with databases, SQL or database performance monitoring. Experience building backend services in Go. Experience as an on-call user of Grafana, Prometheus, Loki or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. Compensation & Rewards: In Germany, the base compensation range for this role is € 100,000 - €125,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Spain and Germany. About Grafana Cloud Observability Grafana Cloud is our fully managed observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to use the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining and scaling their own observability stack. Within the Observability department, we build products that help customers understand and troubleshoot their applications and infrastructure. We work closely with product management, design and other engineering squads to provide seamless and highly curated experiences for our customers. The squad: Database Observability We build and evolve Grafana Cloud Database Observability. We want to help users understand the health and performance of their databases, identify slow queries and troubleshoot issues through clear, actionable insights. As a frontend engineer on the squad, you’ll build experiences that make complex database telemetry easy to explore and understand. You’ll work closely with backend engineers, product management and design to take ideas from early exploration through to production and improve them based on customer feedback. Our frontend stack is primarily TypeScript and React, interacting with backends written in Go. Your primary focus will be frontend engineering, with opportunities to work across the stack, contributing to APIs and backend functionality to deliver complete customer experiences. Frontend engineers at Grafana also have opportunities to contribute to open source communities. The opportunity: Own technical projects from problem framing through rollout, including getting user feedback and measuring whether what you shipped actually worked. Collaborate with Product Management, Product Design and backend engineers to build intuitive user experiences using clean, reusable components, contributing to supporting APIs and backend functionality where needed. Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it. Participate in on-call for the software you help build, contributing to incident response and learning from incidents. Provide technical support in customer escalations and help us identify areas of high friction to address. Collaborate with other squads on shared dependencies, contribute to design proposals, and share the team’s work through demos and technical discussions. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value those who are intellectually curious , who default to transparency , possess a high bias towards action , and who are also kind and enjoy working as a team . Strong frontend engineering experience, with experience across the stack. You have experience building and maintaining production web applications with React and TypeScript, and are comfortable contributing to backend services and APIs. You value maintainability, readability, automated testing and secure development practices. Technical ownership. You have solid experience delivering complex projects, mentoring other engineers and helping teammates work more effectively. You communicate clearly in a fully remote, asynchronous environment. You take responsibility for operating the software you have built . You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed. You enjoy working on complex solutions , building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision. User focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. AI experience with a practical mindset. You use AI coding tools thoughtfully to improve productivity and quality, validate their output, and share useful practices with teammates. You care about our community of users and contributors and are keen to be an active Grafana Community Contributor. Bonus Points for Open-source contribution or maintainership, and comfort engaging a community in the open. An active interest in observability (metrics, logs and traces) and experience with tools like Grafana, Prometheus or other observability platforms. Experience with databases, SQL or database performance monitoring. Experience building backend services in Go. Experience as an on-call user of Grafana, Prometheus, Loki or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. Compensation & Rewards: In the UK, the base compensation range for this role is £94 ,000 - £118,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Brazil; Uruguay; Peru; Colombia; Argentina; Paraguay; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   THE TEAM Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We’re looking for a Full Stack Engineer to join a small, dedicated growth and experimentation team within Krak, focused on accelerating acquisition, activation, engagement and trading activity across the Krak app. This is a frontend-leaning full-stack role: the majority of your work will be in React Native, supported by enough backend capability to take an experiment from idea to live without waiting on another team.   Rather than executing against a rigid roadmap, you’ll work closely with Product on a continuous pipeline of fast, lightweight experiments, owning each one from hypothesis through implementation, launch, measurement and iteration. The mandate is simple: find the highest-leverage opportunities to grow users and revenue, prove what works, and scale the winners – with direct, measurable impact on how millions of customers discover and use Kraken’s products.   The opportunity - Build and ship consumer-facing features quickly in React Native and TypeScript, favouring small, high-velocity experiments over long-running projects. - Own experiments end-to-end – hypothesis, design, build, launch, measurement and iteration – using platforms such as Statsig to test globally or within specific markets. - Improve onboarding, activation and feature discovery to drive conversion, engagement and trading revenue, iterating rapidly on features that are already live. - Build viral acquisition features and value-add growth features on top of Krak’s existing product offering. - Contribute to backend services and APIs wherever an experiment requires it, so you can ship across the stack without being blocked. Our backend is primarily Rust; prior Rust experience is not expected, but enthusiasm for picking it up is. - Read your own results, including trade-offs between conversion gains and other metrics, and decide whether to scale, iterate or kill – driving technical decisions autonomously amid evolving priorities and limited upfront planning.   What you bring - 3+ years of software development experience building and shipping large-scale, consumer-facing applications. Strong, hands-on React and React Native experience is essential. - Demonstrated experience running growth experiments at consumer-facing businesses, with measurable impact on conversion, activation, retention or revenue. This is a consumer growth role, so B2B or platform-only backgrounds are not a fit. - Working backend proficiency: you can design and implement services and APIs yourself. We care about backend fundamentals rather than any particular language, and you should be open to working in Rust. - Strong JavaScript/TypeScript fundamentals, with hands-on experience across APIs, WebSockets and real-time systems, mobile performance, testing, and modern development workflows. - Practical experience designing, running and analysing A/B tests – feature flags, statistical significance, product analytics, funnel and cohort data – with the judgement to act decisively on what the results show. - End-to-end ownership of product features and a strong product engineering mindset, with the initiative and adaptability to operate with minimal direction amid ambiguity and frequently changing priorities.   Nice to haves - Customer-facing product experience within fintech, digital banking, payments, trading or crypto. - Hands-on experience with Statsig or a comparable experimentation platform, including regional and global rollouts. - Rust experience, given our backend stack. - SQL and self-serve analytics, so you can pull and interrogate your own data. - AI fluency. Familiarity with how AI tools and patterns have fundamentally shifted your development workflow and problem-solving approach. - Native mobile development (iOS/Android), distributed systems or microservices, or engineering within a hyperscaling consumer technology organisation. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

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