Вакансии

Описание вакансии IT-компания ARTW — один из лидеров крупной веб-разработки и внедрения корпоративных порталов, интеграции комплексных инфраструктурных решений для российского бизнеса в сферах ecommerce, ритейла, производства, телекоммуникаций и нефтегазового сектора. 20 лет на рынке, штат более 150 человек. Некоторые клиенты: НПФ Открытие, X5 Group, Газпром, О’кей, ЛУКОЙЛ, МТС, Рольф, Ростелеком, Ozon, IBS. Основные специализации: крупная веб-разработка, разработка и внедрение корпоративных порталов, мобильная разработка, продуктовая аналитика, ux/ui дизайн. Проекты компании регулярно отмечаются профессиональным сообществом, в том числе наградами конкурсов Tagline Awards, Рейтинг Рунета, Золотой Сайт и других. Требования: - IaC: Terraform, Ansible - Cloud: Cloud ru - Container orchestration: Kubernetes, Helm - CI/CD: GitLab CI/CD, GitLab Runner - Secrets: HashiCorp Vault - IAM: Keycloak - Service Mesh: Istio - Metrics: Prometheus - Visualization: Grafana - Logs: Loki, Grafana Alloy - DNS / Security: DNS, TLS, CA/PKI - AI Observability: Langfuse - Policy as Code: OPA, OPAL - OS / Automation: Linux, Bash/Python Что предлагаем: - Работу в аккредитованной IT-компании - Есть возможность работать полностью удаленно или в офисе - Индивидуальный план развития — мы готовы обучать своих сотрудников и расти вместе! Процесс собеседования: - Интервью с рекрутером ARTW (10-15 минут) - Интервью с руководителем отдела и HR (1 час) - Оффер

Проект: Внедрение интеллектуальных модулей на базе ИИ в платформу для автоматизации рутинных операций и повышения скорости процессов. Задачи: — Разрабатывать backend-сервисы на Python 3.10+ / FastAPI в рамках ИИ-платформы. — Проектировать и поддерживать микросервисную и event-driven архитектуру. — Интегрировать ИИ-компоненты платформы (работа с LLM, эмбеддерами, векторными БД). — Работать с данными и брокерами: SQL/NoSQL, OpenSearch, Redis, S3, Kafka. — Настраивать и поддерживать инфраструктуру: CI/CD, Docker, мониторинг и логирование. — Обеспечивать безопасность: выстраивать процессы аутентификации и авторизации (Keycloak, OAuth2). — Работать с существующим кодом в крупных репозиториях: читать, понимать, модифицировать и оптимизировать. Требования: — Опыт от 3 лет коммерческой разработки на Python. — Отличное знание Python 3.10+ и FastAPI (глубокое понимание async, middleware, DI). — Понимание микросервисной архитектуры, требований к журналированию, аудиту и мониторингу. — Уверенная работа с SQL и NoSQL (написание сложных запросов, работа с индексами, оптимизация, ORM/ODM). — Опыт работы с Kafka (producer/consumer), Redis, S3. — Опыт с Docker / Docker Compose, настройка CI/CD, Prometheus + Grafana, ELK-стек. — Понимание принципов работы JWT, OAuth2/OIDC, опыт интеграции с Keycloak. — Умение читать и модифицировать чужой код в крупных репозиториях. — Высшее образование (ИТ, технические науки или математика). Будет большим плюсом: — Опыт реализации event-driven архитектуры. — Опыт работы с векторными базами данных (OpenSearch) и векторизацией данных с помощью эмбеддеров. — Опыт интеграции с vLLM для LLM-инференса. — Активное и эффективное использование AI-ассистентов (Cursor и аналоги) для ускорения процесса написания и рефакторинга кода.

Задачи: — Работа с AWS инфраструктурой, включая VPC, IAM, EKS, RDS. — Управление Kubernetes платформой (EKS) с использованием Karpenter, Cilium, Istio. — Автоматизация процессов с помощью инфраструктуры как кода (Terraform, Terramate) и GitOps (ArgoCD, Atlantis). — Поддержка CI/CD процессов. — Обеспечение наблюдаемости с использованием Grafana, Loki, Tempo, Prometheus. — Участие в on-call ротации и решение инцидентов в продакшене. — Разработка внутренних инструментов на Go для автоматизации повторяющихся задач. Требования: — Несколько лет опыта эксплуатации production-систем на AWS и Kubernetes с реальной ответственностью on-call. — Глубокие знания AWS (VPC, IAM, EKS, RDS). — Практический опыт с Terraform и GitOps-подходом (ArgoCD, Atlantis, Flux или аналогичные). — Умение писать код, опыт или готовность изучать Go. — Сильные навыки расследования, отладки и решения проблем. — Быстрое обучение и адаптация к новым технологиям. — Свободное владение английским языком для коммуникации с командами инженерии, продукта и безопасности. Условия: — Удалённая, офисная или гибридная работа (Лимассол, Кипр). — Гибкий график работы. — Конкурентная зарплата и пакет опционов. — Оборудование для комфортной и продуктивной работы. — Премиум подписка SIMPLE. — 21 день оплачиваемого отпуска плюс праздничные дни. — Фокус на результатах, а не на времени за столом.

Задачи: — Разработка и поддержка backend-сервисов в микросервисной архитектуре для системы защиты от мошенничества — Обработка транзакций в реальном времени — Ответственность за производительность, мониторинг и разбор инцидентов — Работа с инженерами, продактами и дизайнерами Требования: — 3+ года коммерческой разработки — Сильный Golang или Java — Опыт с микросервисной архитектурой — Практика с Docker и Kubernetes — Английский на рабочем уровне — Плюсом: опыт с облаками, CI/CD, Redis, Cassandra, PostgreSQL, Prometheus, Grafana, Datadog

Задачи: — Владение и развитие облачной платформы, используемой командами продукта и инженерии Webflow, включая вычислительный слой, кластер EKS, бессерверную инфраструктуру, сетевые решения и облачные операции в AWS и GCP. — Проектирование и поддержка инфраструктуры как кода, развитие шаблонов и общих компонентов для других команд. — Проектирование и поддержка сетевого слоя, обеспечивающего надежность, безопасность и масштабируемость в облачных средах. — Улучшение системы наблюдаемости, включая дашборды, оповещения и SLO, чтобы проблемы выявлялись до того, как их заметят пользователи, и чтобы оповещения были полезными. — Создание и поддержка автоматизации на базе ИИ для управления облачной инфраструктурой, включая политику как код, обнаружение отклонений и генерацию инструкций с помощью LLM. — Участие в формировании культуры растущей международной команды. Требования: — Опыт работы инженером инфраструктуры, инженером надежности сайта или облачным инженером с энтузиазмом к автоматизации и коду, либо опыт разработчика с глубоким интересом к облачной инфраструктуре и распределённым системам. — Более 5 лет опыта владения и эксплуатации облачной инфраструктуры в условиях минимального времени простоя. — Глубокий практический опыт работы с AWS и понимание лучших практик облачных операций. — Опыт управления кластерами Kubernetes в масштабе, включая обновления, управление группами узлов, автоскейлинг и жизненный цикл дополнений к кластеру. — Опыт работы с инструментами инфраструктуры как кода, такими как Pulumi или Terraform, с предпочтением изменений через код, а не через консоли. — Опыт работы в мульти-региональных или мульти-облачных средах на AWS или GCP. — Готовность к обучению и развитию, активное применение ИИ и новых технологий для повышения эффективности работы. Преимущества: — Опыт с Karpenter, cluster autoscaler или другими инструментами масштабирования Kubernetes. — Опыт работы с OpenTelemetry, Datadog, Prometheus или Grafana. — Опыт создания инструментов инфраструктуры с поддержкой ИИ, включая оптимизацию затрат, обнаружение аномалий или политику как код с помощью LLM. — Опыт работы с мульти-региональной архитектурой, включая требования к локализации данных, резервированию и маршрутизации с учётом задержек. Условия: — Удалённая работа с приоритетом на Аргентину. — Постоянная, полная занятость, не контрактная позиция. — Акционерное участие (RSU) в компании. — Медицинское, стоматологическое и офтальмологическое страхование с покрытием премий компанией. — 12 недель оплачиваемого отпуска по уходу за ребёнком для всех родителей и дополнительные 6+ недель для рожающих родителей. — Гибкий отпуск, оплачиваемые праздники и программа саббатикала. — Доступ к ресурсам для психического здоровья, терапии и коучинга. — Пенсионные планы с 100% соответствием взносов работодателя в США и поддержка пенсионных накоплений по всему миру. — Ежемесячные выплаты на поддержку работы и здоровья. — Ежегодная бонусная программа для постоянных сотрудников. — Равные возможности и инклюзивная культура. Контакт для отклика отсутствует.

Location: Cyprus; Georgia; Poland; Spain; Serbia; Latvia We are looking for a Senior DevOps / Platform Engineer to develop and operate GoMining's cloud platform. The primary focus of this role is GCP and Kubernetes , infrastructure and application delivery automation, and the reliability and security of production services. You will maintain and improve our existing infrastructure, contribute to the development of the next generation of our platform, and help product teams ship changes safely and efficiently. Responsibilities Develop and operate infrastructure in GCP , including GKE, virtual machines, networking, load balancers, storage, and managed services. Manage Infrastructure as Code with Terraform : develop modules, manage state and dependencies, ensure reproducible changes, and identify configuration drift. Operate Kubernetes : upgrade clusters and platform components, configure autoscaling, workload placement, network policies, and resource allocation. Develop CI/CD and GitOps using GitLab CI and Flux / Argo CD, automating builds, checks, deployments, controlled releases, and rollbacks. Build observability across metrics, logs, distributed tracing, and actionable alerting. Define and improve SLIs/SLOs together with engineering teams. Troubleshoot production incidents and performance issues, conduct root cause analysis, and eliminate recurring failure patterns. Implement least-privilege access, environment and service isolation, secure secrets management and rotation, and infrastructure audit controls. Maintain backup processes and regularly validate recovery of critical data and infrastructure according to agreed RPO/RTO . Help engineering teams prepare services for production, including health checks, resource configuration, telemetry, and deployment procedures. Optimize cloud infrastructure usage and costs while maintaining reliability requirements. Maintain infrastructure documentation, operational runbooks, and recovery procedures. Requirements Strong hands-on experience independently operating production infrastructure and Kubernetes , including upgrades, troubleshooting, and disaster recovery. Strong experience with GCP , including GKE, Compute Engine, VPC, IAM, and Cloud Storage; good understanding of Cloud SQL, Cloud Logging, and Cloud Monitoring. Hands-on experience with Terraform , including modules, remote state, locking, importing existing resources, and safely applying infrastructure changes through CI. Deep knowledge of Kubernetes and containerization : Deployments, StatefulSets, Services, Ingress, storage, requests/limits, probes, autoscaling, RBAC, and NetworkPolicy. Experience with Helm and Kustomize . Strong Linux administration skills, preferably Debian/Ubuntu: processes, systemd, filesystems, disks, and resource troubleshooting. Strong networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, routing, NAT, load balancing, and firewalls. Ability to troubleshoot connectivity issues across applications, Kubernetes clusters, networks, and cloud services. Experience building CI/CD pipelines, preferably with GitLab CI , and strong understanding of Git and GitOps principles. Understanding of runner permissions, secrets protection, and production deployment controls. Automation skills with Bash and Python , including maintainable infrastructure scripts and API integrations. Experience with monitoring, logging, and alerting using tools such as Prometheus, Grafana, or Cloud Monitoring . Practical experience operating PostgreSQL and understanding Redis and RabbitMQ, including availability, connections, replication or clustering, backup, and recovery. Strong understanding of cloud security principles: least privilege, service accounts, Workload Identity, secrets management, network segmentation, and access auditing. Ability to independently deliver infrastructure changes to a validated production result, explain technical trade-offs, and collaborate effectively with Engineering and Security teams. Nice to Have Experience with Flux CD, Argo CD, Ansible, and HashiCorp Vault . Experience with OpenTelemetry and distributed tracing. Experience migrating infrastructure between clouds or Kubernetes clusters, including database migrations with limited downtime. Experience designing disaster recovery strategies and conducting recovery exercises. Cloud cost optimization and capacity planning experience. Experience with DigitalOcean, Hetzner, or AWS . Ability to read and troubleshoot JavaScript / TypeScript applications. Experience operating financial or payment services with strict requirements around access control, auditing, reliability, and data integrity. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an AV Engineer focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it. You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version-controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services. Responsibilities Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team-owned repositories and service identities so nothing depends on one person Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non-developers Partner with Security, IT Engineering, and Network on least-privilege API access, secrets management, and integration with enterprise standards Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap You May Be a Good Fit If You: Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on Are fluent in at least one general-purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting Practice engineering fundamentals by default: Git-based workflows, code review, automated testing, CI/CD, logging, and observability Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV-over-IP — well enough to build reliable tools on top of them Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly Have defined engineering practices for a team, especially one where most contributors aren't developers Turn operational pain into well-scoped tooling, and can say no to work that shouldn't be built Thrive in a fast-moving environment where standards are being written rather than inherited Strong Candidates May Also Have Experience With: Q-SYS Lua scripting and plugin development Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure-as-code Jira, Slack, and PagerDuty APIs and automation Crestron, Extron, or other control system programming Dante, AES67, NDI, and network fundamentals for AV-over-IP, including multicast, VLANs, and QoS Building with LLMs — agentic automation, LLM-assisted internal tools, or MCP integrations Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment Q-SYS Level 2, CTS, or equivalent demonstrated capability Role Specific Location Policy: This role will be based in our San Francisco or New York City office This role is expected to be in office 50% of the time Up to 4 weeks of domestic and international travel annually for platform rollouts, new-office readiness, and on-site testing Business-hours escalation coverage for the tools and platforms this role owns Deadline to apply: None. Applications will be received 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: $285,000 — $325,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Poland; Czech Republic; Slovenia; Bulgaria; Latvia; Spain; Ukraine; Lithuania; Greece; Croatia; Estonia; Serbia; Armenia; Portugal; Italy; France / Paris; Malta; Türkiye; Slovakia Workplace: Remote Location: Remote, Europe Time Zone Start Date: ASAP Employment Type: Full-Time Team: Core Compute & Distributed Systems Language: English ABOUT THE ROLE We are looking for an experienced Engineering Manager to lead a team building the distributed systems that power a decentralized compute and storage platform. You will lead a team of senior engineers working on P2P networking, distributed storage, compute orchestration, and core platform services. You’ll combine people leadership with strong technical ownership, helping shape architecture, guide execution, and stay hands-on with critical systems and production code. This is a great opportunity for a technical engineering leader who enjoys working close to complex distributed systems, making pragmatic architectural decisions, and building a strong engineering culture in an async, writing-first environment. WHAT YOU’LL DO - Lead, mentor, and grow a high-performing team of distributed systems and backend engineers - Drive the technical direction and execution of core P2P, compute, and distributed platform systems - Stay hands-on with architecture, design, implementation, and technical problem-solving - Guide the development of high-throughput distributed protocols, including peer discovery, communication, replication, and data distribution - Oversee systems responsible for compute orchestration, provisioning, scaling, and workload distribution - Champion reliability, resilience, observability, and production readiness across the platform - Establish strong engineering practices around testing, CI/CD, releases, incident response, and root-cause analysis - Work closely with Infrastructure, Product, Security, and Platform teams on roadmaps, priorities, and cross-team dependencies - Run effective 1:1s, retrospectives, performance reviews, and career development conversations - Translate technical and business priorities into clear execution plans and measurable outcomes - Foster a culture of ownership, technical excellence, pragmatic decision-making, and continuous improvement WHAT WE’RE LOOKING FOR - 7+ years of software engineering experience, with 3+ years in an Engineering Manager or technical leadership role - Proven experience leading teams building and shipping distributed systems or infrastructure software to production - Strong understanding of P2P and distributed systems, such as peer discovery, DHTs, gossip protocols, NAT traversal, replication, consensus, or content-addressed systems - Strong backend and systems programming experience, ideally with Go, or alternatively C/C++ or Rust - Solid understanding of concurrency, networking, distributed communication, and fault-tolerant system design - Experience with compute orchestration, distributed storage, distributed databases, or platform infrastructure - Familiarity with technologies such as libp2p, gRPC, Protobuf, IPFS/CIDs, Kubernetes, or containerized infrastructure - Experience with observability and production operations, including tools such as Prometheus, Grafana, OpenTelemetry, or distributed tracing - Strong understanding of Linux systems and networking fundamentals - Experience establishing engineering standards around automated testing, CI/CD, release processes, and incident management - Strong technical judgment and the ability to balance hands-on engineering, people leadership, and strategic decision-making - Excellent written and verbal communication skills, with the ability to work effectively in a remote and async environment NICE TO HAVE - Experience with distributed storage, object storage, distributed filesystems, or data integrity systems - Knowledge of S3 APIs, NFS, FUSE, POSIX semantics, block storage, or storage engines - Experience with erasure coding, sharding, garbage collection, or large-scale data migration - Experience managing multi-cloud, bare-metal, or geographically distributed infrastructure - Familiarity with GPU infrastructure, distributed AI compute, model serving, or inference routing - Experience with infrastructure-as-code such as Terraform, Pulumi, or similar tools - Experience working with decentralized, blockchain, Web3, or other P2P architectures WHY THIS ROLE MATTERS - Shape a distributed platform from the core: Influence the architecture of the systems that power decentralized compute and storage - Lead a strong technical team: Mentor senior engineers and build an environment where engineers can do their best work - Stay hands-on: Continue solving complex technical problems while growing as an engineering leader - Work on genuinely distributed infrastructure: Tackle challenges around networking, replication, resilience, data distribution, and compute at scale - Influence architecture: Make meaningful technical decisions rather than simply managing delivery - Work across the platform: Collaborate with Infrastructure, Security, Product, and Backend teams - Remote-first and async: Work remotely with strong European time-zone overlap in a writing-first engineering culture HOW WE WORK We favor clear written communication, focused deep work, and pragmatic engineering over unnecessary meetings and synchronization. Our engineering culture emphasizes: - RFCs and well-documented technical decisions - High automated test coverage and rigorous production validation - Pragmatic, maintainable code - Strong observability and operational ownership - Regular production releases - Continuous improvement through retrospectives and post-incident reviews Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination or harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

About estaie: estaie is the first global infrastructure for extended stays of 15 to 365 days, connecting hotels, holiday homes, channel managers, PMSs, payment providers and other travel systems through intelligent inventory, pricing, search and distribution infrastructure. They operate globally with hubs in Dubai and Riyadh. Their AI layer powers dynamic pricing, agentic lead generation, smart inventory orchestration and autonomous operations. The role: You will build and lead the Forward Deployed Engineering (FDE) team responsible for connecting estaie to the hospitality ecosystem and making integrations work in production. You own team operations, delivery, and quality standards. You are a hands-on engineer, coding in TypeScript, Python, and SQL, reviewing PRs, debugging production issues, and leading by example. You partner with the CTO on architecture and technical strategy and collaborate with product, sales, and partnerships. Tasks: — Lead the FDE team: hire, onboard, grow a remote team, set expectations for ownership, quality, and pace — Manage delivery across multiple partner integrations: prioritise, unblock, keep commitments realistic — Coach engineers on integration design, debugging, clean code, and partner collaboration — Conduct 1:1s, provide feedback, build culture of accountability, async collaboration, and written decisions — Stay hands-on: write production code in TypeScript, Python, SQL; own integrations end to end — Review PRs, set standards for testing, observability, documentation — Participate in partner debugging sessions, production incidents, lead post-mortems — Own the integration platform: design integration patterns (authentication including OAuth 2.0 token refresh, signed webhooks, retries, rate limiting, idempotency, error handling) — Own canonical data model normalising inventory, rates, availability from partners — Ensure no overselling: concurrency control, handling out-of-order/late events, reconciliation jobs — Build shared tooling: mock partner servers, contract tests, onboarding tools, dead-letter queues — Lead AI production use: LLMs and agents for data mapping, operational copilots, automation — Set AI guardrails: structured output with schema validation, human review, eval sets, least-privilege access — Control AI cost and latency with queues, rate limiters, caching, model routing — Own uptime, security, performance of integration layer across regions/environments — Act as senior technical contact for key partners, channel managers, PMSs, payment providers — Feed field learnings back into product and platform priorities Requirements: — 8 to 12 years software engineering experience, including 3+ years leading engineers in high-growth startup, SaaS or platform company — Strong hands-on skills in TypeScript (Node.js / NestJS, React / Next.js), SQL, PostgreSQL, and Python — Experience building and running third-party integrations in production: webhooks with signature checks, idempotency, retries, rate limits, data sync/reconciliation — Solid grounding in distributed systems: transactions, concurrency, queues, event-driven design, out-of-order events, fault tolerance — Production experience with LLMs: evaluation, constraints, cost control — Cloud deployment experience with Docker and CI/CD, ideally on GCP — Experience leading remote, distributed teams with async, written culture — Comfortable running technical calls with external engineering teams and turning them into plans — Bias for action, debugging, documenting, automating, measuring, focus on working products Nice to have: — Hospitality, travel, fintech, marketplace or other integration-heavy background — Hands-on experience with channel managers, PMSs, OTAs, reservation systems, payment gateways — Experience building or leading forward deployed, solutions or integrations engineering teams — Kafka / Redpanda, OpenSearch / Elasticsearch, pgvector, Terraform — Experience in GCC markets, Arabic language skills First 90 days plan: — First 30 days: learn platform and live integrations, ship first production change, meet key partners — By 60 days: own at least one integration end to end, agree shared integration standards with team — By 90 days: have FDE hiring plan running, delivery rhythm trusted by team and partners, clear reliability metrics Conditions: — Fully remote (MENA time zone alignment required) — After one year, relocation assistance to Dubai or Riyadh for the right candidate Tech stack: — Frontend: Next.js, React, TypeScript, TailwindCSS, Laravel, Vue.js — Backend: Node.js / NestJS, Python (FastAPI), REST APIs, webhooks — Data: PostgreSQL (with pgvector), MySQL, Redis, BigQuery, Datastream — Async and events: BullMQ, Pub/Sub, Kafka / Redpanda — AI: Vertex AI (Gemini, Claude), LangChain, embeddings, vector search, agentic workflows — Infrastructure: GCP (Cloud Run, Cloud Build, IAM, Secret Manager), Docker, Terraform, GitHub Actions — Security and edge: Cloudflare (WAF, Zero Trust), OAuth 2.0, JWT — Observability: Cloud Logging, Prometheus, Grafana, alerting, anomaly detection — Integrations: channel managers, PMSs, OTAs, supplier APIs, payment gateways (Stripe, Tamara, Checkout.com), WhatsApp Business API, Twilio

About the Project The platform supports medical voice services and workflow automation for healthcare systems in the US. The role focuses on production reliability: monitoring, incident response, SLOs, deployment safety, recovery, and uptime evidence. MUST HAVE — Strong production experience in SRE / DevOps / Backend Operations — Hands-on experience with monitoring, logging, alerting, and tracing — Real experience with Incident Response / Incident Management — Clear responsibility for uptime, SLA / SLO / service reliability — Experience defining or working with SLOs and production dashboards — Strong cloud infrastructure background — Experience with containers and deployment automation — Experience with Infrastructure as Code (IaC) — Strong CI/CD knowledge — Python or comparable scripting skills for operational troubleshooting and automation — Experience diagnosing and resolving production failures — Understanding of backup, recovery, and capacity testing — Ability to communicate clearly during incidents and provide concise written updates Responsibilities — Define service-level objectives for production services — Build and maintain useful reliability dashboards — Instrument metrics, logs, and traces — Monitor workflow, voice, and third-party service dependencies — Lead incident response during agreed coverage hours — Write clear post-incident reviews — Improve deployment safety with rollback and staged releases — Maintain change records and release processes — Test capacity, backups, and disaster recovery — Coordinate handover and escalation with engineering teams — Provide accurate uptime and reliability evidence — Support continuous improvement of platform resilience Strong Advantage — Healthcare or another regulated production environment — WebRTC / real-time media / voice infrastructure — LLM-backed services — Experience handling third-party provider outages — Grafana / Prometheus / Datadog or similar observability tools — Experience with customer-facing incident communication Working Hours - Important The team works with US-based stakeholders, and calls are expected during Arizona time (MST, UTC-7). Candidates should be comfortable with the possibility of regular communication and incident-related coverage during US / Arizona business hours. What We Offer — Small-company feel within a fast-growing international environment — Friendly, collaborative, and mission-driven team — 25 calendar days of vacation + 5 additional paid sick days — Medical insurance — Corporate English courses — Corporate events and team-building activities — Support with professional certifications — Reimbursement for professional courses and training — Long-term international projects — Opportunities for professional and technical growth

Задачи: – Администрирование корпоративных серверов: Linux и Windows, настройка и устранение неполадок. – Настройка сети, устранение неполадок. – Администрирование систем виртуализации. – Создание и оптимизация облачной инфраструктуры. – Администрирование облачной экосистемы Microsoft. – Создание отказоустойчивых систем. – Масштабирование под нагрузкой. – Защита приложений, оптимизация запросов и балансировка нагрузки. – Настройка CI/CD. – Мониторинг инфраструктуры и реагирование на инциденты. Требования: – Успешный опыт работы системным администратором в течение 2 лет и/или в сфере DevOps. – Отличное знание Linux, CentOS/Debian. – Отличное знание Windows. – Глубокие знания сетевого оборудования (маршрутизаторы, межсетевые экраны, коммутаторы). – Опыт работы с облачными технологиями (Azure, AWS и др.). – Опыт администрирования систем виртуализации Hyper-V и/или ESXi. – Опыт администрирования веб-серверов, IIS, Apache, NGINX. – Контейнеризация и оркестровка (Docker, Kubernetes). – Инфраструктура как код (Terraform). – Мониторинг (Zabbix, Prometheus). – CI/CD – GitLab или аналогичный инструмент. – Разработка скриптов и автоматизация (Bash, PowerShell, Python). – Практический опыт работы с инструментами, использующими искусственный интеллект (Cursor, Claude, Codex и др.), и умение эффективно применять их в рабочих процессах DevOps.

About Utorg: Founded in 2019, Utorg builds infrastructure for stablecoin payments including on- and off-ramps, self-custodial wallets, and crypto cards. The platform serves over 2 million users in 130+ countries and supports 2,100+ B2B platforms with $2.4B+ moved to date. The company is fully MiCA-authorized across the EEA and PCI DSS Level 2 certified, backed by Dragonfly, TA Ventures, and Hypra. Tasks: — Own backend architecture across two large-scale microservice platforms (30+ and 25+ services), including system design, API contracts, data flow, and inter-service communication. — Lead complex integrations with payment providers, card issuers, blockchain networks, and third-party APIs, ensuring reliability in production. — Drive performance and scalability by identifying bottlenecks, designing caching strategies, optimizing database queries, and ensuring platform handles growing load. — Shape technical direction by making architectural decisions, evaluating trade-offs, and influencing engineering standards. — Partially offload the Tech Lead to help scale the team. — Build and improve AI-powered processes using LLM-based systems to automate operational and development workflows. — Contribute to office frontends (~20% time) by maintaining and extending React-based admin dashboards. — Own features end-to-end from planning and design to implementation, testing, production monitoring, and iterative improvement. — Collaborate closely with Product, QA, and cross-functional teams, produce technical documentation, participate in code reviews, and share knowledge. — Participate in shared on-call rotation approximately one week per month. Requirements: — 5+ years of production backend development experience with TypeScript/Node.js. — 2+ years of production experience with NestJS including modules, providers, middleware, guards, interceptors, and microservice architecture. — Deep PostgreSQL expertise including schema design, indexing (partial, GIN/GiST), query optimization, zero-downtime migrations, and database-per-service pattern. — Hands-on microservices experience (not monolith split into modules). — Experience with inter-service communication (RPC, pub/sub), message brokers, idempotency, eventual consistency, saga/outbox patterns. — System design skills including decomposing services, designing API contracts, data flow architecture, and capacity planning. — Ability to whiteboard systems and explain architectural decisions. — Experience with complex integrations with third-party APIs, payment systems, or similar external services in production. — Knowledge of retries, circuit breakers, and graceful degradation. — Performance engineering skills including profiling, caching strategies, load analysis, and bottleneck identification. — Ability to optimize slow queries and services. — Production blockchain experience with on-chain transactions, multiple networks, and real user funds. — Understanding of HD wallets (BIP32/BIP39), smart contracts, ABI, ERC-20/SPL tokens, and account-based vs UTXO models. — Experience with libraries such as ethers.js, viem, and solana/web3.js. — AI-driven development experience using AI tools (Claude, Copilot, Cursor) and optimizing business or organizational processes with AI/LLMs. — Strong testing discipline including unit tests (Jest), integration tests with real databases, and microservice testing. — Security-conscious coding practices suitable for fintech and crypto. — Skilled in technical research, evaluating trade-offs, testing hypotheses, and making data-driven architectural decisions. — English proficiency at Upper-Intermediate level. — Fluent in Russian. Nice to have: — Experience with NATS JetStream as a transport layer. — Observability tools: OpenTelemetry, Prometheus + Grafana, structured logging (pino), distributed tracing. — Advanced Kubernetes skills including Kustomize/Helm, deployment strategies, and resource management. — Fintech domain knowledge: PCI DSS, GDPR, KYC/AML, payment systems. — Experience mentoring junior/middle developers. — React basics for office UIs (functional components, hooks, Redux, Material-UI). — Close collaboration with Product, QA, Frontend, and Mobile teams; essential cross-functional communication. Key results expected: 30 days: Ship first features to production, deep dive into stack, architecture, and domain. 60 days: Independently drive complex integration or major feature, participate in architectural code reviews, propose improvements. 90 days: Make architectural decisions, influence technical direction, partially offload Tech Lead, participate in planning. Conditions: — Fully remote work. — Agile, international team. — Engineering culture encouraging modern tools and development practices. — Two career tracks: Tech Lead or Staff/Principal IC. — Career progression and professional development in fintech. — Competitive salary based on individual performance review. — Transparent feedback culture valuing ownership and open dialogue. Recruitment process: — Submit application and CV. — Application review. — HR interview. — Technical interview. — Team Lead interview. — Offer and next steps.

Задачи: — Развивать и поддерживать IT-инфраструктуру, обеспечивать стабильность и отказоустойчивость систем. — Настраивать и сопровождать процессы CI/CD, автоматизировать развёртывание и эксплуатацию сервисов. — Работать с контейнеризацией и оркестрацией на базе Docker и Kubernetes. — Автоматизировать инфраструктурные и эксплуатационные задачи с использованием Ansible, Bash и Python. — Администрировать базы данных, обеспечивать резервное копирование, восстановление и мониторинг. — Поддерживать и оптимизировать процессы загрузки, преобразования и обработки данных (ETL). — Участвовать в развитии хранилищ данных (DWH) и витрин данных. — Настраивать мониторинг, алертинг и диагностику инфраструктуры и сервисов. — Анализировать и устранять проблемы производительности, загрузки и обработки данных. — Использовать AI-инструменты и AI-агентов для автоматизации рутинных DevOps-задач и повышения эффективности работы. Требования: — Опыт работы в DevOps и/или Data Engineering от 4 лет с практическими навыками в обоих направлениях. — Уверенное владение Linux (Ubuntu/Debian, CentOS/RHEL). — Опыт работы с Docker, Kubernetes и Helm. — Практический опыт работы с Ansible и CI/CD на базе GitLab. — Навыки автоматизации с использованием Bash и Python. — Уверенное владение SQL и опыт работы с PostgreSQL. — Опыт работы с одной или несколькими СУБД: PostgreSQL, ClickHouse, Greenplum. — Понимание принципов построения хранилищ данных (DWH) и организации ETL-процессов. — Опыт работы с Apache NiFi и/или Apache Airflow. — Опыт настройки мониторинга и алертинга (Grafana, Prometheus или аналоги). — Понимание сетевых технологий и протоколов TCP/IP, HTTP, DNS. — Умение самостоятельно решать технические задачи и взаимодействовать с проектной командой. Будет плюсом: — Практический опыт разработки ETL-процессов, хранилищ и витрин данных. — Опыт работы с Python-библиотеками SQLAlchemy и Pandas. — Знакомство с продуктами Arenadata (ADB, ADS, ADH). — Опыт работы с Hadoop, PySpark или Apache Kafka. — Опыт работы с Terraform и OpenStack. — Опыт настройки высокодоступных и масштабируемых систем. — Понимание принципов Data Quality и опыт автоматизации проверок качества данных. — Практический опыт использования AI/LLM-инструментов и AI-агентов для автоматизации инженерных задач.

Location: Chicago, Austin DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Container Infrastructure team provides scalable on-premises and cloud-based container orchestration services for DRW’s trading desks, data scientists, and enterprise application teams. Our goal is to enable teams to keep focused on their business goals by providing simple, scalable solutions with off the shelf tools and the right amount of focused engineering. We're looking for a Technical Lead for our Container Infrastructure team. In this role you work closely with other teams and trading desks to ensure the performance and reliability of our Kubernetes platform. The platform is large: hundreds of clusters, thousands of nodes, and dozens of components. Common day-two tasks include development of new components, monitoring costs, and ensuring compute consumption for each desk is optimized. The Technical Lead is responsible for key design of architectural decisions for our platform, setting engineering standards, prioritizing and assigning technical work, as well and identifying and eliminating risks and technical debt. Our philosophy: We believe in relentless automation of repetitive tasks. We have the curiosity and drive to dig deep and find creative solutions. We believe our goal is to find the right solution rather than always being right. We provide exceptional customer service to our teams and trading desks. We care more that the right thing is done than about rigid job descriptions or boundaries. What you’ll do: Own and improve infrastructure, processes, and standards for DRW’s Kubernetes platform. Work with different business units to ensure a successful onboarding and deployment of applications into DRW’s Kubernetes platform. Promote DRW’s Kubernetes platform with demos, lightning talks, and presentations. Relentlessly automate repetitive manual tasks. Provide exceptional customer service to our platform’s users. Coach engineers on best practices, help solve complex problems, set a high standard for operational and technical excellence Your background: Multiple years of Kubernetes administration experience. Deep knowledge of networking, storage, and containerization fundamentals Familiarity with AWS and/or Google Cloud Platform. A service focused attitude: you ask questions and focus on getting the right resources and solutions to people instead of rigid boundaries. Strong written and verbal communication skills. You can work across teams and have evidence-based discussions on technical and operational topics You enjoy leading by example. You cultivate technical excellence and soft skills in your team members. Bonus points if you have: Experience with common Kubernetes operators (Flux, Fluentbit, Fluentd, Prometheus, etc.) Experience administering on-premise infrastructure. Experience developing, deploying, and supporting full stack web applications. Experience with multiple programming languages in both greenfield development and legacy maintenance. The annual base salary range for this position is $250,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why Kimchi? Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities. Our Infrastructure today Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness. As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping. In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. We are currently hiring Senior Software Engineers for the following teams Agent Platform Team: The Agent Platform squad builds the infrastructure that lets teams run fleets of AI agents securely, whether in the cloud or self-hosted, so work can move confidently from a developer's laptop to production environments. The platform enforces least-privilege access to resources, requires human approval before agents can touch anything critical, and logs every action agents take for full auditability. The goal is to give engineering and operations teams the confidence to scale up agent usage without sacrificing security, control, or visibility into what their agents are actually doing. Responsibilities: Design and build distributed systems that run agent fleets at scale across cloud and self-hosted environments, with security at its core Make every agent action observable, auditable, and governable Develop a remote-first experience of working with agents Requirements Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Strong English skills, both verbal and written. You've personally driven a complex project end-to-end. (Agent Platform) Experience in virtualization, networking, security, and Kubernetes internals is a strong plus What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why Kimchi? Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities. Our Infrastructure today Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness. As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping. In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. We are currently hiring Senior Software Engineers for the Harness team : OpenAI and Anthropic ship models. They also ship one harness each – the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end. A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap – and that gap is where we operate. Responsibilities: Architect planner/executor/evaluator pipelines – planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification. Manage agent memory and context – state persistence across sessions, context compaction, tool-call offloading Own the harness surface - TUI, MCP integrations, telemetry. Work directly with users - including our own colleagues - to identify, understand and fix pain points Requirements Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Strong English skills, both verbal and written. You've personally driven a complex project end-to-end. (Harness) Experience on working with harnesses and creating your own AI workflows is a strong plus What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine Why Kimchi? Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities. Our Infrastructure today Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness. As a Senior Software Engineer , you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping. In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions. We are currently hiring Senior Software Engineers for the API Platform Team : Owns the inference API responsible for delivering our AI services across the world while making sure it's reliable and capable to scale in tandem with our company's growing ambitions, as well as our analytical platform, billing and role-based controls that enable our users to monitor and control their usage with ease - be it as a solo developer or a large enterprise. You'll own our infrastructure, datastores, analytics, observability and CI/CD pipeline. Responsibilities: Develop with observability in mind, identify bottlenecks and optimize for performance. When p99 latency climbs, you find the cause through query profiles and flame graphs instead of raising the alert threshold. Design the datastores and distributed systems behind the inference API, and keep them reliable as usage scales from a solo developer to a large enterprise. Build the billing, usage metering, and role-based controls that let users monitor and govern their own consumption. Catch correctness problems where a wrong number costs you trust. Requirements Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Strong English skills, both verbal and written. You've personally driven a complex project end-to-end. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience). Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Задачи: — разработка на Python с использованием asyncio, FastAPI — работа с брокерами и таск-менеджерами: Kafka, RabbitMQ, Celery — оптимизация запросов и проектирование схем в PostgreSQL — реализация межсервисных коммуникаций через gRPC, REST, Webhooks — написание фронтенд-компонентов на TypeScript и React — применение DevOps-практик: Docker, CI/CD, развертывание в Kubernetes — использование инструментов мониторинга Prometheus и Grafana — обеспечение покрытия кода тестами Требования: — 3+ года коммерческого опыта на Python с глубоким пониманием asyncio, FastAPI — опыт работы с Kafka, RabbitMQ, Celery — уверенные знания PostgreSQL (query tuning, schema design) — практический опыт межсервисных коммуникаций: gRPC, REST, Webhooks — опыт написания фронтенд-компонентов на TypeScript / React — понимание DevOps-практик: Docker, CI/CD, Kubernetes — опыт работы с инструментами мониторинга Prometheus / Grafana — культура покрытия кода тестами — будет плюсом опыт работы с телеком-инфраструктурой, IP-телефонией, CTI или системами контакт-центров Условия: — full-time — b2b-контракт — почасовая оплата — удалённая работа, строго по России