В роли старшего инженера-программиста в команде Blockchain Networks компании Coinbase предстоит разрабатывать и внедрять инфраструктуру блокчейн-сетей, которая упрощает взаимодействие с блокчейнами через надежные API платформы. Задачи включают руководство крупными проектами, такими как интеграция новых цепочек, реархитектура систем и миграция данных с целью повышения производительности, надежности и снижения затрат. Необходимо определять и поддерживать API, соглашения об уровне обслуживания (SLO) и средства наблюдения за системами, а также участвовать в дежурствах. Взаимодействие с продуктовыми и платформенными командами для установления контрактов данных и выпуска SDK и платформенных примитивов, способствующих широкому использованию внутри Coinbase, также входит в обязанности. Требуется глубокое понимание нескольких ведущих блокчейн-протоколов, таких как Bitcoin и Ethereum, и применение этих знаний для упрощения операций между цепочками. Кандидат должен иметь более 5 лет опыта разработки программного обеспечения с подтвержденным управлением производственными сервисами в сервис-ориентированной архитектуре, опыт проектирования, масштабирования и поддержки распределенных систем с высокой пропускной способностью и низкой задержкой. Практические навыки работы как минимум с двумя из следующих технологий: Golang, Kafka, Redis, MongoDB или аналогичными инфраструктурными инструментами. Наличие прямого опыта работы с блокчейн-протоколами или криптоинфраструктурой, включая интеграцию с Ethereum, Bitcoin или подобными сетями L1/L2. Способность разбирать сложные системы, включая монолиты и устаревшие архитектуры, на четко ограниченные микросервисы с ясными API-контрактами также необходима.
Задачи:
— Администрировать и развивать Asterisk / IP-телефонию
— Настраивать SIP-транки, endpoints, dialplan и маршрутизацию
— Работать с ARI / AMI и интеграциями с backend/CRM
— Диагностировать SIP/RTP и проблемы качества связи
— Работать с Linux, MariaDB/MySQL, CDR
— Настраивать безопасность: Firewall, Fail2Ban, ACL
— Поддерживать стабильную работу телефонии и автоматизированного обзвона
Требования:
— От 2 лет практического опыта с Asterisk
— Хорошее знание SIP, VoIP, NAT, RTP, кодеков
— Linux + базовый SQL
— Опыт с ARI и/или AMI
— Умение самостоятельно находить и устранять проблемы
— Будет плюсом: Redis, Nginx, Grafana/Prometheus, Heplify
Условия:
— Формат работы: Remote / Home Office
— График: 5/2, 09:00–18:00
— Занятость: Full-time
— Зарплата: $3,000 фикс
Рассматриваются кандидаты из Армении, Азербайджана, Грузии, Кыргызстана, Молдовы, Узбекистана, Таджикистана.
Задачи:
— Разбираться в бизнес-контексте проблем клиентов
— Общаться с командами Product, Mobile, Operations
— Устранять неопределённость в задачах
— Проектировать решения
— Декомпозировать работу
— Использовать AI-агентов для реализации решений
— Проверять результаты
— Запускать решения в production
Требования:
— Сильные знания Go
— Опыт коммерческой разработки 5+ лет
— Опыт работы с распределёнными и высоконагруженными системами
— Знания PostgreSQL/MySQL, Linux, Git, Docker
— Архитектурное мышление
— Самостоятельность и развитые коммуникативные навыки
— Практический опыт работы с AI coding tools / AI agents
— Базовые знания PHP/Laravel
Условия:
— Работа в цифровом финансовом институте, мобильном банке и web-приложении с платежами, страхованием, коммунальными услугами и marketplace финансовых продуктов
— Формат работы: удалённый
— Оформление по ТК
Стек технологий:
Go, PostgreSQL, Docker, GitHub, TeamCity, Jira, Confluence, Laravel
Location: Singapore; Melbourne; Sydney
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
WHAT YOU WILL DO
As an AI Deployment Strategist, AI4Eng for Physics and Engineering in APAC, you are Mistral's forward-deployed operator on strategic enterprise accounts across automotive, aerospace, semiconductors, industrial equipment, and energy. You own the delivery of AI solutions for physics and engineering challenges end-to-end.
Discovery, Scoping & Solution Design:
- Run technical discovery sessions to understand business and engineering requirements.
- Identify, qualify, and prioritize use cases aligned with the customer's strategic R&D and product-development challenges.
- Translate business goals into a concrete AI roadmap and high-level solution architecture, validating feasibility with Product and Applied AI teams.
- Build ROI models and business value propositions, and own scoping documents and SOW inputs.
Delivery & Program Management
- Own end-to-end delivery: discovery → design → build → deploy → adoption.
- Set up the account operating model: governance, decision forums, and cadence.
- Drive day-to-day execution: priorities, milestones, unblockers, and risk management.
- Drive scope control and change management, ensuring the right artifacts are produced (design doc, runbook, eval plan, rollout plan, handover).
- Bring knowledge of processes and regulations from the industries we serve (aerospace, semiconductor, automotive, industrial equipment, energy).
Adoption, Value Realization & Expansion
- Lead user testing, training, change management, and developer enablement.
- Track value realization against agreed KPIs and report to executive sponsors.
- Capture field learnings and feed product gaps and platform needs back to Product, Science, and Engineering.
ABOUT YOU
- Advanced university degree in physics or engineering, or IT.
- 5+ years of experience as a (technical) project manager in a relevant industry, e.g., automotive, semiconductors, or aerospace.
- Experience in software development, machine learning, and ideally in numerical simulations for physics and engineering (CAE, CFD, FEM, DEM, etc.).
- Hands-on coding proficiency (Python at minimum), with the ability to read design docs and hold your own in deep technical conversations with data scientists, ML engineers, and simulation engineers.
- Strong grasp of where AI creates value in computational science: surrogate models, PDE solvers, FEM/CFD acceleration, inverse problems, and differentiable simulation.
- Familiarity with deployment patterns (SaaS, VPC, on-prem, hybrid), security and compliance basics, and ideally agile project management methodologies.
- Strong communication skills with the ability to explain complex technical concepts in simple terms and to manage C-level stakeholders.
We are looking for adaptable team players who excel in a fast-paced environment, are ready to own delivery across APAC accounts, and are prepared to support pre-sales motions to contribute to our shared goals and growth.
INTERVIEW PROCESS
- Talent Acquisition screening call (30 min)
- 30 min Hiring Manager Interview
- 45 min Technical Interview (physics, simulation, and AI deep dive)
- 45 min Business Acumen Interview
- Panel (Customer Meeting Role-Play & Use Case Scoping Exercise, 1h)
- 30 min Value Talk
- Reference check
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Требования:
— 1-3 года практического опыта разработки встроенного ПО на C/C++ для микроконтроллеров (считается также сильный опыт стажировок или проектов).
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
At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.
Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs.
At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done.
We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast.
Responsibilities
Build the core systems that track a datacenter's lifecycle (sites, designs, bills of materials, equipment, and construction progress) in one trusted, permissioned source of truth
Embed with datacenter, energy, and supply chain teams to understand how the work actually gets done, find the critical path, and build the tools they reach for first
Bring order to messy data by migrating and reconciling spreadsheets and legacy trackers, and integrate with the industry's tools, like construction management, scheduling, and engineering systems
Design for trust: fine-grained permissions, auditability, and data quality for information that steers major investment decisions
Ship early, iterate with users, and cut anything that doesn't help bring compute online sooner
Partner with research to understand new model capabilities and share where they fall short in engineering-heavy, physical-world domains
You may be a good fit if you
Have 8+ years of experience building software, with strong full-stack skills and solid grounding in data modeling, APIs, and databases
Have built software that teams in a physical-world industry depend on, such as datacenters, construction, energy, manufacturing, supply chain, or logistics
Have a track record of zero-to-one work in startup or startup-like environments
Are deeply user-centric: you learn the domain from the people doing the work and validate with them before over-investing
Bring high agency and good judgment about what matters, and hold strong opinions loosely
Communicate clearly across engineering, operations, and research, and care about the societal impacts of your work
Strong candidates may also have
Experience in datacenters (at a hyperscaler, colocation provider, operator, utility, or engineering firm), or in adjacent fields like construction, logistics, or legal
Experience with the domain's tooling, such as construction management (Procore, Autodesk Construction Cloud), scheduling (Primavera P6), PLM/BOM, ERP and procurement, CAD/BIM, DCIM, or power system studies
A background in electrical, mechanical, or civil engineering, energy systems, or supply chain alongside a software career
Experience building products with large language models
Candidates need not have
100% of the skills listed above
Formal certifications or education credentials
Direct machine learning or AI research experience
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:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Задачи:
— Решать технические проблемы клиентов от начала до конца (Helpdesk + Slack) в рамках SLA
— Проводить анализ корневых причин с использованием Grafana, Datadog (логи, метрики, трассировки)
— Создавать дашборды мониторинга и проактивные оповещения
— Писать скрипты на Python для автоматизации и массовых операций
— Активно использовать AI-инструменты (Claude, Cursor, ChatGPT) для ускорения устранения проблем
Требования:
— Опыт ежедневной работы с LLM и prompt engineering
— Практические навыки работы с Grafana и Datadog (создание дашбордов и оповещений)
— Скриптинг на Python и хорошее понимание распределённых систем
— Опыт 2+ года в TechOps/технической поддержке (приветствуется опыт в FinTech/Forex/Crypto)
— Отличное владение английским языком (C1+)
Условия:
— Удалённая работа, предпочтительно в часовом поясе GMT+5 - GMT+8
Если вы технически любознательный решатель проблем, который хочет работать с современными AI-инструментами в реальном FinTech продукте, отправьте резюме.
This is an Early Career Software Engineer role at Google. The position is titled 'Software Engineer, Early Career, Campus' and is available in Pittsburgh, PA; Mountain View, CA; and 8 more locations. The salary range is $123K-$174K per year.
Задачи:
— Использовать AI-инструменты для разработки функций на backend, web, Android и iOS.
— Сотрудничать с продакт-менеджерами для преобразования целей в решения.
— Проектировать и строить высоконагруженные распределённые системы с обеспечением качества через автоматизированное тестирование.
— Отвечать за полный жизненный цикл функций от проектирования до выпуска.
Требования:
— Опыт в разработке ПО не менее 5 лет с фокусом на backend.
— Подтверждённый опыт работы с микросервисами, REST API и высоконагруженными системами.
— Сильные навыки программирования на Java и знакомство с несколькими стеками.
— Практический опыт использования AI coding agents в продакшене.
Плюсы:
— Опыт с Java 17+, Spring Boot и клиентскими технологиями (React, Kotlin, Swift).
— Опыт работы с live-streaming, видео или масштабными потребительскими продуктами.
Условия:
— Конкурентная зарплата, бонусы по результатам и опционы.
— Официальное трудоустройство на Кипре с поддержкой визы для сотрудника и супруга.
— Комфортный офис в Лимассоле с обеспечением питания и перекусов.
— Медицинская страховка для сотрудников и членов семьи.
— Возможности профессионального роста и корпоративные семейные мероприятия.
— Доступ к матчам Aris Limassol F.C. и эксклюзивным событиям.
Формат работы: офис, Лимассол.
About ActAI
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our application focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations.
Our objective is to organise anyone's life.
Role
As a Web Frontend Engineer, you will build the core web experiences, including Chat, Notes, Calendar, Docs and Sheets.
You will own complex, highly interactive product surfaces from architecture through implementation, working closely with product, design, backend and AI engineers to make AI a native part of how users communicate, write, organise and work.
What You'll Own
Build major web experiences across Chat, Notes, Calendar, Docs, and Sheets.
Develop complex interactions including real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets.
Build reusable frontend architecture and components that work consistently across ActAI applications.
Integrate streaming AI responses, proactive actions, and model-driven experiences directly into product workflows.
Own frontend performance, responsiveness, reliability and accessibility across browsers and devices.
Work closely with product and design to take ideas from prototype to production quickly.
What We're Looking For
Strong experience building complex, production web applications using React, TypeScript and modern frontend technologies.
Deep understanding of frontend architecture, state management, browser APIs, and performance.
Experience building highly interactive products such as chat, collaboration, productivity, document editing, calendars, or workspaces.
Experience with real-time systems, WebSockets, streaming APIs, or collaborative interfaces.
Strong product and UI judgment with attention to interaction details.
Able to independently own features from technical design through production.
Outcomes
Users can communicate, write, organise and collaborate seamlessly across Chat, Notes, Calendar, Docs and Sheets.
Complex interactions such as group messaging, editing, scheduling and collaboration feel fast and reliable.
AI capabilities are integrated naturally into product workflows rather than added as separate chatbot experiences.
Frontend architecture remains fast, maintainable and reusable as ActAI expands into new applications and workflows.
Tech Stack
TypeScript
React.js / Next.js
HTML / CSS
WebSockets / streaming APIs
Node.js
REST / GraphQL APIs
How We Work
The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively and move at rapid speed, striking a balance between shipping high-quality work and learning.
Joining our team requires the ability to bring structure, exercise judgment and execute independently. Our goal is to put in the hands of our users a truly magical product.
Interview Process
If there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews.
Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us and help bring practical AI benefits to billions of users globally.
Location: India; Colombia; Mexico; Romania; Hungary; Slovakia
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and HealthTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
About the Company
A fast-growing, post-revenue AI startup is building an AI-powered SAP Consultant platform for enterprise customers. The company works with DAX 40 and Fortune 500 clients
Job Type:
Full-time
Location:
On-site in Berlin, Germany
Job Summary
We are seeking a high-caliber Fullstack Engineer to join a fast-moving team dedicated to building production-grade applications from the ground up. This is a role for a true builder—someone who thrives on end-to-end ownership, from translating broad business requirements into technical architecture to deploying and monitoring robust systems. If you are a self-directed engineer who balances speed with architectural integrity and enjoys the challenge of integrating AI and complex data pipelines, this is the place for you.
Key Responsibilities
Architect, build, and maintain complete web applications and backend services from concept through to production.
Design and implement responsive frontend interfaces, complex user flows, and internal dashboards.
Develop and manage APIs, background workers, scheduled jobs, and automated processing pipelines.
Integrate third-party APIs, LLMs (agentic workflows, tool calling), and data-ingestion systems, including authorized scraping.
Oversee cloud deployment, infrastructure monitoring, and CI/CD pipelines to ensure high system resilience.
Perform load-testing and stress-testing to preemptively address bottlenecks and scaling issues.
Maintain a focus on cost-conscious engineering, optimizing cloud, database, and AI token consumption.
Requirements
Proven track record of end-to-end ownership, having personally built and shipped complete applications.
Advanced proficiency in JavaScript / TypeScript and modern frontend frameworks (React, Next.js).
Strong backend experience with Python, Node.js, or similar technologies.
Deep understanding of relational database design (PostgreSQL) and event-driven architectures (Redis, Queues).
Experience with major cloud platforms (AWS, GCP, or Azure) and containerization (Docker).
Ability to work independently in a fast-paced environment, identifying the simplest viable technical approach to solve complex problems.
Excellent communication skills with the ability to explain technical tradeoffs and risks to non-technical stakeholders.
Nice-to-Haves
Experience building AI-powered products or sophisticated data platforms.
Familiarity with vector databases (Elasticsearch/OpenSearch) and NoSQL environments.
Background in developing SaaS applications, marketplaces, or high-volume search tools.
Experience with browser automation and large-scale data extraction
Benefits
💰 Competitive salary
🌎 Fully remote work environment
🚀 Career growth opportunities
📈 Long-term stability
🤝 Collaborative and supportive team culture
Location: Amman, Jordan
We are looking to recruit Associate Support Engineers who will receive an intensive training in the field of Support & Implementation and its related technologies and will be involved in providing remote IT technical liaison during the shift, in addition to providing support and network administration to the customers and troubleshooting issues over the phone/emails and onsite whenever needed.
Responsibilities:
Provide first-line support for the helpdesk and all associated processes.
Provide tier-one telephone support for software applications.
Provide Basic troubleshooting for software problems covered in training.
Utilize help desk software to keep an accurate account of all incoming calls, opened incidents, and requests.
Route calls and notify technicians of any critical situation requiring immediate attention.
Maintain the proper skills necessary to interface with a variety of users regarding specific problems.
Troubleshoot and provide appropriate solutions to problems.
Serve as a liaison between customers and the technical department.
Maintain client confidence and protects operations by keeping information confidential.
Contribute to team effort by accomplishing related results as needed.
Perform any other related duties incidental to the work.
Requirements:
Fresh graduates - up to one year of experience.
BSc degree in computer information system or any related field.
Willingness to work on different shifts either from (04:30PM - 1:00AM) or (12:00AM – 08:30AM) or (8:00AM - 5:30PM).
Willing to travel and work extra hours when needed.
Willing to relocate as needed.
Excellent written and verbal communication skills (Arabic & English languages).
Knowledge of Database engines (Oracle, MS-SQL, Postgres).
Knowledge of Operating Systems (Unix/Linux and Windows).
Knowledge of Cloud Infrastructure Tools (Docker & Kubernetes) and DevOps Techniques.
Knowledge of Application servers (Apache Tomcat, WebLogic, and WebSphere).
Familiar with Networking, HA & Disaster Recovery, and Backup & Recovery strategies.
Strong customer service and excellent interpersonal skills.
Ability to listen and understand what is being described by the end user as well as the ability to explain problem resolutions when necessary.
Work with integrity and ethics.
Uphold organization values.
Show respect and sensitivity for cultural differences.
Location: Cyprus; Russia; Poland; Belarus; Georgia; Romania
About the Role
We are an international broker. Our clients fund and withdraw through approximately 60 payment methods across Asia, Africa, LATAM, and the Middle East.
Payments Product is now a standalone function, and we are building the team around it. This is an early core hire.
We are looking for a Payment Integration Manager who will own payment integrations end to end—from the initial technical call with a provider through to stable production.
You will also be the first line of response for every payment incident and the person responsible for deciding whether a new integration is ready to go live.
This is a technical operations role rather than a coordination role.
Key Responsibilities
1. Payment Provider Onboarding & Integration
Manage the full onboarding cycle for new payment providers, including:
Initial technical calls
Credentials and sandbox access
Configuration and test design
User Acceptance Testing (UAT)
Production launch
Post-release stabilisation
Define integration acceptance standards and own the go/no-go decision before launch.
Review provider API documentation and translate it into implementation-ready specifications for engineering, covering edge cases, failure paths, and confirmation model behaviour.
2. Payment Incident Management
Own the first-line response for payment incidents, including:
Failed and stuck transactions
Unconfirmed payments
Payment method-level anomalies
Investigate and drive incidents to resolution rather than simply escalating them.
Diagnose provider-side versus platform-side issues using logs, API responses, and transaction data.
Communicate findings clearly to providers, engineers, and internal stakeholders.
3. Technical Testing & Verification
Perform hands-on verification of payment integrations.
Conduct manual checkout testing across mobile and desktop.
Verify callbacks and API behaviour using Postman or equivalent tools.
Execute SQL queries to investigate transaction data.
Validate asynchronous payment statuses, confirmation models, redirect flows, and failure scenarios.
4. Payment Method & Provider Catalogue
Maintain a comprehensive catalogue of payment methods and providers, documenting:
Supported capabilities
Available integration types
Completed testing
Known failure modes
Build the initial capability inventory of all live payment methods and providers.
Convert ambiguous provider documentation and undocumented operational knowledge into actionable specifications.
5. Payment Performance Analysis
Produce a 90-day breakdown of deposit attempts, categorised by outcome:
Completed transactions
Declined by the provider
Abandoned by the user
Abandoned during redirect
Completed but never confirmed back to the platform
Requirements
Essential Qualifications & Experience
4+ years of experience in payments, PSP integrations, or fintech platforms, with hands-on ownership of integrations rather than coordination alone.
Working knowledge of APIs, webhooks, asynchronous payment statuses, callback mechanics, confirmation models, redirect flows, and common failure modes.
Ability to review provider API specifications and identify missing information.
Experience using Postman or equivalent tools for API testing.
Experience performing structured checkout testing across mobile and desktop.
Proven ability to investigate live payment incidents using logs and API responses.
Ability to distinguish provider-side issues from platform-side problems.
Experience translating incomplete or ambiguous technical documentation into clear specifications for engineering.
Strong communication skills and composure during incidents.
Basic knowledge of using AI tools in daily work.
Working proficiency in both English and Russian, as both languages are used daily.
What Success Looks Like in the First Year
First Few Months — Operational Ownership
Take ownership of first-line payment incidents, build the payment method and provider catalogue using documentation and direct investigation, and produce the 90-day deposit attempt analysis.
By Mid-Year — Integration Acceptance Standards
Establish the integration acceptance framework and apply it to a live provider onboarding process, from initial engagement through production launch.
Second Half — Established Processes & Decision-MakingAs the team expands, a Systems Analyst will assume responsibility for formal verification, while the integration acceptance gate remains under your ownership.
Maintain an accurate and up-to-date provider catalogue, ensure the integration acceptance gate is fully operational, and take ownership of incident-related decisions.
Recruitment Process
Our recruitment process consists of four stages:
HR Interview: Background, motivation, and overall role alignment.
Technical Interview: Payment integration knowledge, technical tools, hands-on experience, and incident diagnosis.
Product & Problem-Solving Interview: Integration decisions, prioritisation, and practical problem-solving.
Final Interview: Discussion with senior stakeholder.
Benefits
Fixed monthly compensation of [depending on experience]
Fully remote work within GMT to GMT+4, with no relocation required
End-to-end ownership of a provider from first call to production, and the go or no-go decision on every integration
Scope that grows with the business: cards, alternative payment methods, a card programme and new entities
Corporate AI tooling as part of the working process
Основные требования:
— Опыт разработки и применения моделей машинного обучения для решения прикладных задач: прогнозирования, классификации, оптимизации, выявления аномалий и анализа производственных процессов.
— Понимание основных этапов разработки ML-решений: сбор и подготовка данных, исследовательский анализ, обучение моделей, оценка качества, тестирование и внедрение результатов.
— Уверенные навыки программирования на Python и опыт работы с основными библиотеками анализа данных и машинного обучения: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch или аналогичными инструментами.
— Опыт работы с временными рядами, историческими данными и построением прогнозных моделей.
— Навыки обработки, очистки, объединения и анализа больших объемов производственных и технологических данных.
— Общее понимание процессов энергетической отрасли: производство, передача, распределение и потребление энергетических ресурсов, режимы работы оборудования, технологические показатели и показатели эффективности.
— Навыки работы с SQL, базами данных и инструментами хранения и обработки информации.
— Умение формировать качественные наборы данных для аналитики и обучения моделей машинного обучения.
Чем предстоит заниматься:
— Разрабатывать и внедрять алгоритмы машинного обучения и интеллектуального анализа данных для задач энергетической отрасли.
— Создавать модели прогнозирования производственных и технологических показателей энергетических объектов.
— Разрабатывать прогнозы производства, потребления, нагрузки и других ключевых параметров на различных временных горизонтах.
— Анализировать технологические и эксплуатационные данные, выявлять зависимости, закономерности, отклонения и потенциальные точки повышения эффективности.
— Разрабатывать модели для оценки и прогнозирования состояния оборудования и технологических процессов.
— Решать задачи оптимизации режимов работы энергетического оборудования и объектов.
— Создавать алгоритмы выявления аномалий, отклонений и нестандартных режимов работы.
Что мы предлагаем:
— Участие в разработке современных цифровых и интеллектуальных решений для энергетической отрасли.
— Работа над практическими задачами цифровизации, аналитики и повышения эффективности энергетических объектов.
— Возможность применять технологии Machine Learning, Data Science и Artificial Intelligence для решения реальных производственных задач.
— Работа с промышленными, технологическими и эксплуатационными данными энергетических предприятий.
— Участие в проектах по прогнозированию, оптимизации, предиктивной аналитике, мониторингу оборудования и развитию цифровых двойников.
— Возможность профессионального развития в направлениях Data Science, Machine Learning, Industrial AI и цифровой энергетики.
— Взаимодействие с командой специалистов в области IT, анализа данных, автоматизации и энергетики.
— Возможность участвовать в проектах, направленных на повышение надежности, эффективности и технологичности энергетической инфраструктуры.
— Конкурентные условия труда и возможности для долгосрочного профессионального развития.
Location: United Kingdom; Ireland; Romania; Cyprus; Portugal; Lithuania; Czech Republic; Poland; Spain
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
Payward Services is an enterprise infrastructure platform that enables companies to seamlessly integrate trading, payments, funding, and digital asset services through a single unified system. It provides coordinated liquidity, custody, compliance, risk management, and settlement capabilities, reducing operational complexity for fintechs, banks, brokerages, and payment providers.
You'll be joining the Solutions Engineering function as a core contributor on our pre-sales team. Your focus is squarely pre-sales — partnering with sales and our Partner Solutions Lead to run discovery, design winning solutions, and build PoCs that close deals. You'll operate within the frameworks and playbooks our Solutions Architect has established, and bring the technical depth to execute them deal by deal.
You'll partner directly with our Solutions Architect, sales team, and Implementation Manager. This is a high-impact execution role — you'll be running deals end-to-end and delivering the technical win alongside sales.
THE OPPORTUNITY
- Run technical discovery with prospective customers alongside sales and our Partner Solutions Lead — map their architecture, constraints, and compliance needs to our product suite (Embed, Ramp, Earn, xStocks, CF Benchmarks)
- Surface recurring customer asks and product gaps from your deals and feed them to the Solutions Architect to inform the roadmap
- Design tailored solutions spanning our existing offerings, customizations to those offerings, bespoke integrations built on top of our platform, or hands-on work directly in the customer's codebase
- Scope and build proof-of-concepts that demonstrate technical feasibility and win the deal
- Own a clean, structured handoff to our Implementation team — delivering PoCs, solution design docs, and knowledge transfer sessions that ensure what was promised gets built
- Execute the pre-sales playbook — discovery frameworks, solution templates, PoC standards, and handoff runbooks — and contribute improvements back to the team as you learn what works
WHAT YOU BRING
- 4+ years in a technical pre-sales role (solutions engineering or solutions architecture) at a B2B API or infrastructure company
- Proven track record executing the technical pre-sales motion — discovery, solution design, PoC delivery, and deal-winning
- Fluency with REST/WebSocket APIs, auth patterns (OAuth, JWT), webhook architecture, and integration debugging
- Experience designing and building complex integrations for technical buyers at fintechs, banks, or neobanks — including customizations and bespoke work
- Strong knowledge transfer skills — you know how to package a solution design so an implementation team can execute it faithfully
- Clear, structured communicator who can run a discovery call, a design review, and a handoff debrief back to back
- Experience writing RFPs and documenting solution approaches that clearly communicate how our product and our customizations will solve a customer's problem
NICE TO HAVE
- Crypto domain knowledge — trading, custody, KYC, staking, fiat ramp mechanics
- Experience with embedded finance or crypto-as-a-service products
- Experience with Coast and building out proof of concept sales demos inside Coast
- Hands-on with AI development tools (Claude Code, Cursor) for rapid prototyping
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 Twitter 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
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
As an Engineering Manager on the Dashboard team, you will lead a team of engineers responsible for the primary interface developers use to build, deploy, and manage applications on Vercel. The Dashboard is where customers experience the platform every day, from onboarding new projects to managing deployments, observability, billing, security, AI, and team collaboration.
You'll partner closely with Product, Design, Data, and other engineering teams to deliver intuitive, high-quality product experiences while helping shape the long-term architecture of one of Vercel's most important customer-facing surfaces. This role requires balancing technical leadership, product thinking, and strong people management to help the team ship quickly without compromising quality.
What you'll do
Build and grow a high-performing team of engineers through hiring, coaching, mentorship, and thoughtful career development.
Foster a culture of ownership, collaboration, and high engineering standards while creating an environment where engineers can do their best work.
Partner closely with Product, Design, and other engineering teams to define roadmap priorities and execute against ambitious product goals.
Help the team make sound technical decisions around frontend architecture, performance, reliability, and developer experience.
Occasionally review and contribute code to stay close to the technology and unblock the team when needed.
Drive operational excellence through strong engineering processes, incident management, and continuous improvement.
Balance short-term product delivery with long-term investments in technical quality and platform scalability.
Champion a customer-first mindset, ensuring the Dashboard remains fast, intuitive, and delightful for developers of all sizes.
What you need
You have experience leading and growing high-performing engineering teams.
You have built and operated large-scale customer-facing web applications or developer products.
You have a strong product engineering mindset and enjoy working closely with product managers and designers to deliver polished user experiences.
You have experience building modern web applications using technologies such as React, Next.js, TypeScript, and the broader JavaScript ecosystem.
You understand frontend architecture, performance optimization, accessibility, and design systems.
You communicate clearly across technical and non-technical audiences and can build alignment across teams.
You thrive in fast-moving environments and are comfortable making decisions with incomplete information.
You care deeply about creating an inclusive team culture where engineers can grow and have meaningful impact.
Benefits & Compensation:
Competitive compensation package and stock options.
Comprehensive, inclusive healthcare package.
Opportunities for mentorship and professional growth, including attendance at industry events.
Flexible Time Off with a recommended minimum of four weeks per year, plus paid holidays.
Remote-friendly culture with teammates across multiple time zones.
Dedicated equipment and work-from-home budget to help you create an effective workspace.
The San Francisco, CA base pay range for this role is $226,000-$325,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
ГибридSingapore; Melbourne; Sydney; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
УдалённоCyprus; Russia; Poland; Belarus; Georgia; Romania; Fully remote work within GMT to GMT+4, with no relocation required
УдалённоАстана
УдалённоseniorUnited Kingdom; Ireland; Romania; Cyprus; Portugal; Lithuania; Czech Republic; Poland; Spain; 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
География найма не уточнена
Remote-friendly culture with teammates across multiple time zones
