Разработка вакансии - удалённо

Задачи: — Настроить Claude Team на 5 пользователей с разделением проектов — Поднять Obsidian + Sync для команды — Развернуть VPS и автоматизацию: транскрипции из Plaud → правильные папки в Obsidian — Написать документацию для нетехнических пользователей Требования: — 2-5 лет опыта — Опыт интеграций с LLM API (OpenAI, Anthropic, YandexGPT и др.) — Опыт поднятия VPS и написания автоматизаций — Опыт с Obsidian приветствуется, но не обязателен Условия: — Разовый проект на 1-2 недели — Бюджет 60 000 — 120 000 ₽ фикс за проект — Оплата поэтапно: 30% аванс, 40% после настройки Claude и Obsidian, 30% после автоматизации Plaud — Удалённая работа — ГПХ или самозанятость Процесс: 1. Созвон с заказчиком (не технический специалист, проверка коммуникации) 2. Созвон с техническим консультантом 3. Договор и аванс

Location: North Macedonia; Georgia; Serbia; Croatia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talents 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 AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary As an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization. Key Responsibilities Design, build, and deploy AI and machine learning solutions for real-world business applications. Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems. Build AI-powered automations, copilots, chatbots, and workflow systems. Fine-tune, evaluate, and optimize machine learning models for performance and scalability. Integrate AI systems with APIs, databases, CRMs, and third-party platforms. Collaborate with product and engineering teams to translate business requirements into AI-driven solutions. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor model performance, reliability, and cost efficiency in production environments. Maintain documentation, testing procedures, and deployment workflows. Stay updated on the latest AI trends, frameworks, and emerging technologies. Requirements 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms. Familiarity with vector databases, embeddings, and RAG architectures. Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure. Strong understanding of APIs, backend systems, and scalable application architecture. Experience with Docker, Git, CI/CD pipelines, and modern development practices. Excellent problem-solving and analytical thinking skills. Strong communication skills with the ability to work in remote, cross-functional teams. Bonus: Experience building AI agents, automation systems, or voice AI applications. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: South Africa; Pakistan; Philippines; United States; United Kingdom; Canada About Huzzle At Huzzle, we connect exceptional talents 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 AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You’ll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems. Key Responsibilities Design, develop, and deploy AI and machine learning models for real-world applications. Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs. Develop scalable APIs and backend services for AI applications. Fine-tune machine learning models and improve model performance. Work with structured and unstructured datasets for training and inference. Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines. Integrate AI solutions into web platforms, CRMs, and business systems. Monitor AI model performance, reliability, and scalability in production. Collaborate with cross-functional teams to define AI product requirements and technical roadmaps. Stay updated on emerging AI technologies, frameworks, and best practices. Requirements 3+ years of experience in AI engineering, machine learning, or software engineering. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face. Experience working with LLMs, generative AI tools, and prompt engineering. Familiarity with vector databases, embeddings, and RAG architectures. Knowledge of cloud platforms such as AWS, GCP, or Azure. Experience building REST APIs and scalable backend systems. Understanding of MLOps, model deployment, and monitoring workflows. Strong problem-solving and analytical thinking skills. Excellent communication and collaboration abilities. Experience working in remote or distributed teams is a plus. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Location: Mexico; Colombia; Brazil; Chile; Argentina; Costa Rica About Huzzle At Huzzle, we connect exceptional talents 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 AI. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are looking for a highly skilled AI Engineer to design, develop, and deploy scalable AI and machine learning solutions. You’ll work closely with product, engineering, and leadership teams to build intelligent systems that power automation, analytics, conversational AI, and predictive capabilities. This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and solving real-world business challenges with cutting-edge technology. Key Responsibilities Design, develop, and deploy AI/ML models for production environments. Build and optimize AI-powered applications using large language models (LLMs) and generative AI tools. Develop intelligent automation workflows, chatbots, recommendation systems, and predictive analytics solutions. Fine-tune, evaluate, and improve machine learning models for performance and scalability. Collaborate with software engineers and product teams to integrate AI features into existing platforms. Work with structured and unstructured datasets for training and inference pipelines. Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems. Monitor AI systems, troubleshoot issues, and continuously improve model accuracy and efficiency. Stay updated with the latest advancements in AI, machine learning, and automation technologies. Maintain documentation for AI models, systems, and workflows. Requirements 3+ years of experience in AI engineering, machine learning, or related software engineering roles. Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain. Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems. Experience deploying machine learning models into production environments. Familiarity with vector databases, embeddings, and RAG architectures. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus. Strong understanding of data structures, algorithms, and software engineering best practices. Excellent problem-solving and analytical skills. Strong communication skills and ability to work in a remote, collaborative environment. Benefits 💰 Competitive salary based on experience and location 🌎 Fully remote role with flexible work environment 🚀 Work on cutting-edge AI automation projects with real business impact 📈 Strong growth opportunity into senior AI / systems roles 🧠 Exposure to LLMs, prompt engineering, and scalable AI system design 🤝 Direct collaboration with a fast-moving, high-performance team

Задачи: — Разработка инновационного функционала с нуля (Feature Lead). — Проектирование элементов системы вместе с бизнес-аналитиками (System Design). — Покрытие кода тестами (Unit, Integration) и проведение Code Review (Quality). — Сопровождение системы и оперативное исправление дефектов (Reliability). Требования: — 5+ лет коммерческого опыта с Java 17/21 и Spring Boot / Cloud. — Уверенная работа с PostgreSQL и Kafka. — Понимание Docker, Kubernetes и инструментов мониторинга (Grafana, Prometheus). — Глубокое понимание многопоточности и распределенных систем. — Опыт в FinTech-проектах и уровень английского B2+. — Преимущество: опыт работы в Crypto-проектах. Условия: — Полная удалённая работа из любой точки мира. — Лояльное начало дня и гибкий 8-часовой рабочий день. — Возможность выбрать привычное оборудование для работы. — Внутренняя Академия, митапы, конференции и хакатоны для обучения. — Культура и мероприятия, где ценят каждого сотрудника.

Location: United States We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Ukraine We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: United Kingdom We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Serbia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Romania We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Portugal We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Poland We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Netherlands We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: Czechia We're looking for a technical architect who can drive development velocity across a team of 10–15 engineers building cloud-native applications. This is a hybrid role: deep hands-on technical leadership combined with people management. What you'll do Lead the architecture, performance, and scalability of our Node.js-based platform running primarily on AWS. While our applications are deployed on AWS today, they are designed to be hyperscaler-agnostic, and you'll ensure architectural decisions preserve that portability across GCP, Azure, and other cloud providers. You'll own the technical direction of the platform, mentor senior engineers, and partner with product and engineering leadership to ship high-quality systems quickly. You'll also manage a team of 10–15 developers — setting goals, running 1:1s, growing careers, hiring, and removing blockers. You'll balance roadmap delivery with engineering health: code quality, system reliability, on-call hygiene, and developer experience. Requirements What we're looking for 8+ years of software engineering experience, with 3+ years leading engineering teams Deep expertise architecting distributed systems on AWS (compute, networking, data, IAM, observability) Strong Node.js background and a clear point of view on building maintainable services at scale Experience designing platform-agnostic systems that can run on any major hyperscaler Track record of improving performance, scalability, and deployment velocity in production environments Proven ability to grow engineers, hire well, and run a team that ships consistently Nice to have Experience with multi-cloud or cloud-portable deployments (Kubernetes, Terraform, containerization) Background scaling SaaS platforms or developer-facing products AWS certifications (Solutions Architect Professional, DevOps Engineer)

Location: United Kingdom; Brazil; Ireland; Peru; Costa Rica; Latvia; Argentina; Romania; Cyprus; Portugal; Slovenia; Lithuania; South Africa; Czech Republic; Panama; Estonia; Canada; Hungary; Mexico; Poland; Spain; Bulgaria 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. Kraken is building a dedicated AI Compute and Infrastructure team to power the next generation of model training, inference, evaluation, and experimentation across the exchange. This team sits within engineering leadership and owns the infrastructure layer that lets Kraken run AI workloads with control, speed, reliability, and cost discipline. The team is responsible for GPU and accelerator infrastructure, cluster operations, scheduling, model serving, observability, capacity planning, and cost-efficient compute at scale. This is the backbone that allows Kraken to train, serve, evaluate, and iterate on AI systems in-house where it matters for privacy, latency, reliability, cost, or product differentiation. You will join a small, senior, high-impact team working directly with AI/ML researchers, platform engineers, security teams, and product teams. The mandate is simple: make Kraken's AI ambitions real by building compute infrastructure that is fast, dependable, efficient, and production-grade.   THE OPPORTUNITY - Own and operate GPU and accelerator clusters used for training, inference, evaluation, and experimentation, including drivers, runtimes, kernels, device plugins, node configuration, scheduling primitives, and workload isolation. - Design infrastructure that enables Kraken teams to run models locally on GPUs where it is strategically and economically preferable, reducing unnecessary dependency on external providers and containing compute costs. - Build and improve scheduling, orchestration, placement, quota management, and utilization systems across heterogeneous accelerator environments. - Optimize inference pipelines for latency, throughput, reliability, memory efficiency, and cost using frameworks such as vLLM, Triton Inference Server, TensorRT, or equivalent serving stacks. - Partner with ML engineers and researchers to remove bottlenecks in training, evaluation, batch inference, online inference, deployment, and production debugging workflows. - Build observability for GPU utilization, memory pressure, queue depth, saturation, token throughput, request latency, failed workloads, capacity pressure, and spend. - Drive reliability, incident response, alerting, runbooks, and post-incident improvements for always-on AI compute infrastructure. - Evaluate and integrate new hardware, cloud instance families, specialized accelerators, runtimes, schedulers, and serving frameworks as the AI infrastructure landscape evolves. - Build tooling that makes GPU usage visible, accountable, and easier for internal teams to consume without needing to become infrastructure experts. - Contribute to long-term architecture decisions that balance performance, cost efficiency, scalability, operational simplicity, and production safety.   WHAT YOU BRING - 5+ years of infrastructure engineering experience, with significant time spent on GPU compute, ML infrastructure, distributed systems, high-performance computing, or large-scale production platforms. - Hands-on experience operating GPU clusters or accelerator-backed infrastructure in production or production-like environments, including scheduling, orchestration, utilization monitoring, and cost optimization. - Strong systems engineering fundamentals across Linux, networking, storage, containers, Kubernetes, distributed runtimes, and production debugging. - Experience with ML serving frameworks such as vLLM, Triton Inference Server, TensorRT, TorchServe, KServe, Ray Serve, or equivalent systems. - Proficiency in Python for infrastructure automation, tooling, debugging, integration, and operational workflows. - Practical understanding of performance tradeoffs across batching, concurrency, memory usage, GPU utilization, model size, latency, throughput, availability, and cost. - Track record of optimizing compute costs while maintaining clear performance, reliability, and availability expectations. - Experience building observable systems with useful metrics, logs, traces, dashboards, alerts, and incident workflows. - Comfortable working in high-stakes, always-on environments where uptime, throughput, correctness, and operational discipline are critical. - Clear communicator who can translate infrastructure tradeoffs for researchers, product teams, platform engineers, security stakeholders, and engineering leadership.   NICE TO HAVES - Experience at a frontier AI lab, hyperscaler, high-frequency trading firm, research platform, or high-scale ML organization. - Familiarity with custom silicon or specialized accelerators such as TPUs, AWS Trainium, Gaudi, or similar platforms. - Background in capacity planning, procurement input, reserved capacity strategy, cloud accelerator economics, or GPU fleet cost management. - Experience with distributed training frameworks such as DeepSpeed, Megatron-LM, FSDP, Ray, or equivalent systems. - Experience debugging CUDA, NCCL, kernel, driver, runtime, memory, networking, or low-level performance issues. - Experience with Rust, C++, Go, CUDA, or other systems languages used for performance-critical infrastructure. - Crypto, financial services, trading infrastructure, or security-sensitive production infrastructure experience. 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

О ПРОЕКТЕ Мы создаем мощные технологические решения для международной платежной индустрии. Наши продукты ежедневно обрабатывают миллионы транзакций, поэтому мы ищем инженера, который знает всё о производительности баз данных и умеет выжимать максимум из архитектуры. ТВОИ КЛЮЧЕВЫЕ ВЫЗОВЫ — Data Architecture: Проектирование и развитие моделей данных для OLTP/OLAP систем. — High-Performance SQL: Разработка пайплайнов и работа со сложными запросами (Large Joins, Window Functions). — Massive Data: Работа с партиционированными таблицами (10 млн+ записей в день). — Logic in DB: Разработка хранимых процедур и реализация бизнес-логики внутри БД. — Optimization: Глубокий анализ планов выполнения и ускорение «тяжелых» агрегаций. МЫ ЖДЕМ ОТ ТЕБЯ — PostgreSQL Master: 3+ года опыта работы в High-load среде. — SQL Expert: Ты виртуозно владеешь EXPLAIN и знаешь, как превратить медленный запрос в молниеносный. — Scale Experience: Опыт работы с репликацией (GTID, Failover) и большими объемами данных. — Analytical Mind: Понимание принципов построения аналитических систем. — Responsibility: Способность самостоятельно проектировать решения и отвечать за результат. БУДЕТ ПЛЮСОМ — Опыт работы в Fintech или платежных сервисах. — Навыки работы с Clickhouse или Cassandra. — Опыт построения Real-time аналитики. ПОЧЕМУ ЭТО КРУТО? — Complex Tasks: Работа с действительно большими объемами данных на международном рынке. — Strong Team: Окружение из сильных инженеров и экспертов отрасли. — Growth: Возможность профессионально расти, решая задачи, которые не встретишь в обычном ритейле. — Rewards: Конкурентная зарплата, обсуждаемая индивидуально под твой уровень.

Location: European Union Workplace: Remote ABOUT THE ROLE We’re looking for a Senior Integration Engineer to take full ownership of partner integrations - from initial onboarding through to go-live and beyond. This is a delivery-focused, highly technical role where you’ll act as the key bridge between partners, commercial teams, and engineering. You won’t just coordinate - you’ll drive integrations forward, solve complex issues, and ensure partners are successfully launched.   KEY RESPONSIBILITIES - Own end-to-end partner integrations: kickoff, implementation, testing, and go-live - Drive multiple integrations in parallel, ensuring timely and high-quality delivery - Act as the main technical point of contact for partners (from engineers to C-level stakeholders) - Lead technical discussions and solution design, ensuring alignment between partner requirements and our platform - Work closely with internal teams to ensure smooth integrations and resolve technical challenges along the way - Translate partner needs into clear technical requirements and push back when needed - Collaborate closely with Commercial, Onboarding, and Engineering teams to support business goals - Ensure successful delivery and provide technical sign-off before go-live - Contribute to improving integration processes, documentation, and scalability REQUIREMENTS - 3+ years of experience in: - Integration Management - Technical Account Management - Solutions Engineering - Strong understanding of: - REST APIs, JSON, HTTP - Webhooks, idempotency, error handling - Solid understanding of networking fundamentals: - TCP/IP, DNS - Experience with API security: - API keys, OAuth, JWT - Request signing (HMAC), replay protection - Hands-on experience with: - Logs and monitoring tools (ELK, Kibana, Grafana, or similar) - Ability to review, understand, and create technical documentation, including API documentation - Strong analytical thinking with the ability to identify root causes in complex systems - Excellent communication skills - comfortable working with both technical and business stakeholders - Ownership mindset - proactive, accountable, and delivery-driven NICE TO HAVE - Experience in iGaming, fintech, or SaaS environments - Experience working with aggregators or platform integrations - Exposure to high-scale environments with multiple concurrent integrations - Experience handling partner negotiations or technical discussions at a senior level - Experience writing scripts or working with a programming language (e.g. Python, JavaScript, Bash) - Leadership potential (opportunity to grow into a lead role) WHAT WE OFFER - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement RECRUITMENT PROCESS 1. HR Interview (45 minutes) 2. Technical & Hiring Manager Interview (90 minutes) 3. Final Interview with C-level (60 mins) By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Philippines, Remote; Argentina, Remote; LATAM, Remote; APAC, Remote Workplace: Remote ABOUT TENKI We started Tenki on the belief that compute is the new digital oil. As global demand for compute power accelerates, scalable and tradable compute is set to become one of the most valuable markets of our lifetime. Our goal is to become the leaders in harnessing, refining, and trading compute-unlocking a new asset class for the world’s most important digital resource. Tenki connects producers of compute with a growing universe of consumers. Producers get transparent pricing, predictable settlement, and access to global demand. Consumers get simple, developer-friendly access to high-quality compute at competitive prices. We’re currently building the consumer side, starting with GitHub Actions, enabling developers to offload workflows directly through Tenki. Soon, we’ll expand to a broad suite of cloud services like Virtual Machines, Databases, AI Agents, and more. As we expand, our focus will broaden beyond consumers to include the supply side, enabling producers to offer compute through Tenki and later the development of financial instruments that support a more efficient and tradable compute market. ABOUT THE ROLE We are looking for a Golang Engineer to join a small but talent dense team building the future of compute markets. Although the role is remote, we need team members who can reliably work within our core time zones in LATAM (GMT-3) or the Philippines (GMT+8), and you should be fully comfortable communicating in English across our globally distributed team. This Position will report to the Tenki Engineer Manager. In this role, you’ll help build the core infrastructure that powers Tenki’s. You will: - Architect, maintain, and evolve our core gRPC API services, based on ConnectRPC - Design and operate a private, programmable microservices fabric that securely connects our microservices across the platform - Manage identity services on top of the Ory stack: Kratos, Keto, and Hydra - Develop DDoS mitigation strategies - anticipating and countering adversaries. - Build high-performance Golang gRPC services from the ground up, built to scale to millions of users - and eventually billions. - Define and implement infrastructure following immutable principles, enabling full tear-down, failover, and rapid reconstruction. - Drive ideas from concept to reality by writing clear Engineering Requirement Documents and translating them into actionable plans and measurable outcomes. - Collaborate with our Applications (TypeScript) and Platform teams to expose robust, well-designed APIs for internal and future external consumers. ABOUT YOU - You are a proficient Golang engineer: You have deep experience building high-performance, concurrent applications and know how to squeeze performance out of the language when scaling to millions of users. - You live and breathe APIs: You have a strong track record of architecting and maintaining gRPC services (bonus points for ConnectRPC) and creating robust, documented contracts for internal and external consumers. - You understand Identity & Auth: You have implemented or managed identity services (Ory stack: Kratos, Keto, Hydra, or similar OIDC/OAuth2 providers) and understand the complexities of securing user data. - You have a "Systems" mindset: You aren’t just an application developer; you understand the underlying overlay networking (e.g., WireGuard, service mesh) that connects microservices securely. - You build for resilience and security: You have experience anticipating adversarial behavior (DDoS) and implementing mitigation strategies, perhaps leveraging eBPF or traffic shaping techniques. - You practice Immutable Infrastructure: You design systems where servers are cattle, not pets - enabling full tear-down, failover, and rapid reconstruction without manual intervention. - You define the standard: You don't just write code; you drive the engineering process by writing clear Engineering Requirement Documents and translating abstract concepts into actionable technical plans. - You implement with care: You build the monitors, define the error boundaries, and document operational expectations so that the platform remains maintainable by others long after you’ve pushed the code. - You thrive in ambiguity: You can set direction in an early-stage environment where priorities shift and clarity must be created, not awaited. - You bring grit and ownership: You dive deep into problems, ship pragmatic solutions, scale them as demand grows, and replace them when the time comes. We are building a startup within a startup. Tenki was born within Luxor http://www.luxor.tech as we expand our vision from mining compute to generalized compute. Learn more about how we work and our principles here https://www.notion.so/Luxor-Culture-ed37647662cd4060834afb9db7f543a1?pvs=21. At Tenki we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Tenki welcomes all! Tenki does not accept unsolicited headhunter and agency resumes. Tenki will not pay any third-party agency or company that does not have a signed agreement with Tenki. HOW WE USE AI IN OUR HIRING PROCESS We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used. During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team. We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days. In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time. In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.