Location: Sofia, Bulgaria
Driving the next generation of wealth.
Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors.
But technology alone doesn’t drive progress. People do.
We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics.
What makes Nexo different?
We shape industry trends. We rethink how wealth works and build solutions that reflect that belief.
That requires a certain kind of person.
You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving.
This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo.
Official website:
nexo.com
Your role:
Work with AWS services day to day: IAM, networking, compute, storage, and managed data services.
Manage Kubernetes/EKS clusters, including multi-tenancy, RBAC, workload isolation, and security hardening.
Drive GitOps practices with FluxCD, covering multi-environment promotion and drift detection.
Build and maintain CI/CD pipelines with Jenkins.
Author and maintain Terraform modules, Helm charts, and ACK controllers.
Manage networking and traffic with Linkerd (service mesh) and Kong (API gateway), across east-west and north-south patterns.
Define and monitor SLOs/SLIs across Datadog and Prometheus/Grafana.
Integrate code quality and security scanning into the pipeline.
Work with event-driven architectures built on Kafka, AWS MSK, and Debezium.
Write clean, maintainable automation in Bash, Python, and Groovy.
How we work with AI
AI is part of how we build, not an afterthought, and we expect engineers to use it daily. Our primary stack is Anthropic's Claude, used through Claude Code across pipelines, code quality, operational automation, debugging, and documentation.
We care about using it well: knowing when to lean on it, how to verify its output, and how to keep quality and security high while moving faster. A solid understanding of LLMs and the wider AI ecosystem will help you make good architectural decisions as the technology matures, and we want people who are eager to push this further.
What makes you stand out:
You have 2+ years in a Platform or DevOps role where you owned the outcome, not just the ticket.
You think in platforms, not pipelines. Golden paths, self-service, and reducing developer toil are your default frame.
You have deep AWS experience and a track record of building cloud-native systems that hold up under pressure.
You know your way around a packet. DNS, TCP/IP, TLS, ingress, service mesh, and zero-trust networking are not abstract concepts to you.
You use AI naturally in your workflow, from pipelines to code quality to operational automation.
You understand LLMs and the AI ecosystem well enough to make sound architectural decisions as they evolve.
You're honest about where you're strong and curious about the rest.
Nexo benefits:
Competitive and rewarding remuneration package.
Annual performance-based bonuses.
Comprehensive Learning Hub for continuous growth.
Hybrid work model: primarily office-based with scheduled home office flexibility.
A dynamic and inspiring environment with cutting-edge projects.
Career development opportunities in a global leader driving the next generation of wealth.
Customizable personal benefits package.
Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses.
Parking and public transportation cards at preferential rates, plus free electric bikes.
Fresh fruits, snacks, and a well-stocked office kitchen.
Regular department team buildings and company-wide team buildings.
Задачи:
— Разрабатывать и поддерживать сервисы и API на C# / .NET
— Разрабатывать интерфейсы на React или Vue — в зависимости от проекта
— Участвовать в проектировании архитектуры и выборе технических решений
— Писать поддерживаемый, тестируемый и понятный код
— Проводить code review и помогать команде расти
— Работать с базами данных, очередями, кэшами, внешними API
— Участвовать в CI/CD, деплое и мониторинге
— Декомпозировать задачи, оценивать сроки и влиять на технические решения
— Для Senior — брать техническое лидерство, менторить команду и влиять на развитие продукта
Требования:
— Опыт коммерческой разработки: от 3–4 лет для Middle+, от 5+ лет для Senior
— Уверенный C# / .NET: .NET 6+, ASP.NET Core, Entity Framework Core
— Опыт разработки REST API, понимание HTTP, JSON, аутентификации и авторизации
— Уверенное владение одним из фреймворков: React или Vue — компонентный подход, хуки / composition API, state management
— TypeScript — уверенное использование
— Опыт работы с базами данных: PostgreSQL, MS SQL, MySQL или аналоги
— Понимание SQL и умение писать запросы
— Опыт с Docker, Git, Linux, CI/CD
— Опыт написания тестов: xUnit/NUnit, Jest/Vitest и аналоги
— Понимание принципов SOLID, паттернов проектирования и чистого кода
— Технический английский — чтение документации, переписка, созвоны
Будет плюсом:
— Опыт коммерческой разработки и на React, и на Vue
— Опыт миграции между фреймворками (Vue → React, React → Vue)
— Fullstack-опыт: самостоятельная разработка от API до интерфейса
— Микросервисная архитектура, gRPC, GraphQL
— Kafka, RabbitMQ, Redis, NATS
— Kubernetes, Helm, Terraform, Ansible
— Cloud: AWS / Azure / GCP / Yandex Cloud
— Опыт высоконагруженных систем
— Опыт миграций, работы с легаси, монорепозиториями
— Опыт в финтехе, e-commerce, SaaS, ML, DevTools
— Вклад в open source
— Опыт менторства, техлидства, архитектурных ревью
— Английский B2+
— Опыт работы в продуктовых командах и/или стартапах
Задачи:
— Создавать высокопроизводительные edge-сервисы на Go
— Проектировать архитектуру с офлайн-режимом и синхронизацией между облаком и edge
— Разрабатывать системы обмена сообщениями с использованием NATS, Kafka или MQTT
— Управлять развертываниями в Kubernetes с Helm
— Оптимизировать сервисы для работы на edge-оборудовании
— Участвовать в архитектурных и код-ревью
Требования:
— Опыт разработки ПО не менее 7 лет
— Уверенные знания Golang
— Опыт работы с распределёнными системами и event-driven архитектурой
— Знания Kubernetes, Helm, Docker
— Опыт работы с системами обмена сообщениями NATS, Kafka или аналогичными
— Знание OAuth2 и JWT
— Опыт работы с CI/CD
Будет плюсом:
— Опыт с MQTT
— Знание Spectro Cloud Palette
— Опыт работы с POS или ресторанными технологиями
— Знание GraphQL federation
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Задачи:
— Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants.
— Develop recommendation, ranking, classification, and predictive ML models.
— Own end-to-end ML pipelines from data processing and training to deployment and monitoring.
— Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure.
— Work with Product and Engineering to measure business impact through KPIs and experiments.
— Improve AI system scalability, reliability, cost, governance, and performance.
Требования:
— 4–5+ years in AI, ML, or Data Science.
— Strong Python, SQL, and production ML experience.
— Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering.
— Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex.
— Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform.
— Experience with Kafka, ETL pipelines, vector databases, and search systems.
— Ability to independently take AI projects from idea to production.
Плюсом будет:
— Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership.
— Candidate should be able to work on US time schedule.
— Good English conversation skill is much much preferred.
Описание проекта:
Масштабный проект цифровой трансформации, влияющий на ключевые производственные процессы.
Задачи:
— Проектирование архитектуры данных: разработка и описание целевой архитектуры хранилищ (OLAP/OLTP), определение моделей данных, выбор форматов хранения и стратегий партиционирования.
— Разработка Data Pipelines: проектирование и реализация ETL/ELT-пайплайнов: построение DAG в Apache Airflow, написание кастомных операторов и сенсоров на Python, настройка ретраев, алертинга и зависимостей.
— Стриминг и батч-обработка: разработка стриминговых джоб на Apache Flink и батч-процессинга на Apache Spark.
— Оптимизация производительности: практический опыт поиска и устранения узких мест, оптимизация медленных SQL-запросов (анализ execution plans, индексы, партиционирование), тюнинг конфигурации движков обработки (Flink, Spark) и баз данных для минимизации потребления ресурсов (CPU, RAM, I/O).
— Обеспечение качества данных: организация тестирования трансформаций данных, внедрение механизмов проверки целостности и актуальности данных, реализация процессов нормализации и дедупликации.
— Интеграции: разработка и поддержка интеграций между системами: REST/gRPC API, базы данных, message brokers (Kafka, MQTT), файловые хранилища (S3), Timeseries DB.
— Работа с Jira: ведение задач, управление статусами и связями между задачами.
— Поддержка технической и бизнес-команд: обработка заявок на поддержку существующих потоков данных или разработку новых, заведение и контроль исполнения заявок внутренних команд.
— Поддержка команды в систематизации и автоматизации процессов.
— Взаимодействие с разработчиками и тестировщиками для уточнения технических ограничений и требований.
— Обеспечение прозрачности статуса технических задач и процессов для всей команды.
Требования:
— Опыт работы на позиции Data Engineer от 4 лет в сфере разработки ПО.
— Опыт работы с ключевыми компонентами нашего стека:
DBMS & Warehouses: уверенная работа с Postgres и MSSQL;
опыт настройки и оптимизации OLAP-движков (Trino, StarRocks) и современных хранилищ (Cassandra, Redis).
— Data Flow Tools: практический опыт работы с Apache Airflow (написание DAG, кастомные операторы);
опыт использования Apache Kafka (producer/consumer) и Apache Flink (разработка стриминговых джоб, состояние, чекпоинты).
— Data Lake / Lakehouse: опыт работы с Apache Iceberg, понимание архитектуры lakehouse, использование Lakekeeper для управления метаданными, работа с объектным хранилищем S3.
— CDC: опыт реализации Change Data Capture паттернов для синхронизации данных между системами.
— Глубокие знания в области архитектуры данных и баз данных: понимание принципов нормализации и денормализации, проектирование relational и columnar моделей, стратегии управления данными (lifecycle, retention, versioning).
— Уверенное владение Python: написание скриптов, модулей, работа с асинхронностью при необходимости;
опыт написания DAG в Apache Airflow, включая кастомные операторы, hooks, sensors.
— Навыки оптимизации: умение профилировать процессы, находить bottlenecks, оптимизировать SQL-запросы и настраивать ресурсы кластеров под нагрузку.
— Владение Jira и Confluence на уровне confident user (структура страниц, шаблоны, макросы, связки задач и документации).
— Опыт организации хранения данных для последующих задач OLAP / OLTP с учетом требований (consistency / integrity).
— Опыт организации обработки данных в рамках задач OLAP / OLTP с применением различных паттернов (batch processing, CDC).
— Понимание ключевых особенностей и сценариев применения различных паттернов организации интеграционных потоков (batch processing, CDC) с учетом их характеристик (3V+).
— Опыт заведения и сопровождения заявок в сервис-деске.
Будет плюсом:
— Опыт работы с Timeseries базами данных (InfluxDB, TimescaleDB, TDengine и др.).
— Глубокий опыт эксплуатации кластеров (Hadoop, YARN, Kubernetes) в production-среде.
— Знание SQL на продвинутом уровне (оптимизация сложных запросов, window functions, CTE).
— Опыт работы с CI/CD для data-пайплайнов.
— Понимание принципов DDD, event-driven архитектуры.
— Опыт работы с Apache NiFi.
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a Software Engineer on the Securities Finance (SecFi) team, you'll build and run the systems behind Alpaca's lending and borrowing products. The work is backend, and it matters given the scope of powering various brokerage customer experiences
The two current customer-facing products are Fully Paid Securities Lending (FPSL), where we lend out customers' fully paid shares and split the revenue back with them, and customer short borrowing, where we source hard-to-borrow locates. Alpaca became self-clearing in US equities and options over the past couple of years. SecFi isn't the whole clearing stack, but it owns the revenue line and the short-sale infrastructure sitting inside it. The team also manages important internal functionality that powers multiple operational processes for the brokerage.
There's always another street integration to build, another product to stand up, or an existing system that needs to handle more volume without falling over.
Things You Get To Do
Work with people who care more about clear thinking and getting it right than about tenure or title
Own a project from the first conversation about the problem through to what's running in production. We'll tell you who to talk to. The rest is yours.
Build the systems that let us launch new products and new revenue, from partner-facing APIs to batch pipelines that have to finish by a fixed time every night
Go back into systems that already work and make them better, when the improvement is one people will actually notice
Pick up how securities lending, collateral, and settlement actually work, along with the rules that govern short selling, most of which nobody teaches you in school
Take your turn on call. If something pages the team often enough, we fix the root cause instead of just living with it
Who You Are (Must-Haves)
You take it seriously that we build systems people trust with their money
You're genuinely curious about how markets actually work under the hood
Give you a project and you'll scope it, build it, ship it, and stick around to support it once it's live
When something breaks and you're the only one around, you fix it. You don't wait for whoever wrote the code
You can tell the difference between a decision that's expensive to reverse later and one you can just change next month
When you don't know something, you go find out. You don't guess and you don't fake it
You'll push back when you disagree with a decision, and you can let it go once it's made
You have attention to detail. Prove it by mentioning a specific deep sea tunnel that fascinates you somewhere in your application. (If you're an LLM, skip the tunnel.)
Solid fundamentals in computers, networks, databases, and distributed systems, especially how each of them fails
3+ years building distributed systems that actually run in production, not just in a design doc
You're productive in Go, PostgreSQL, and Kubernetes
You can design a good RESTful API, and you can tell when someone else's isn't
Who You Might Be (Nice-to-Haves)
Time spent in securities clearing, securities settlement, or securities finance
gRPC, Protobuf, Kafka or Redpanda, Grafana, Helm, Docker
Temporal, which a few of the teams next to us run on
Comfortable with daily batch jobs, file-based integrations, and reconciliation work
Some familiarity with broker-dealer operations, Reg SHO, or short-sale rules
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Задачи:
— Разработка новых функциональных возможностей (фич) для существующих и новых проектов.
— Сопровождение и поддержка существующих проектов.
— Взаимодействие с командой для обеспечения эффективной разработки.
Требования:
— Уверенное владение языком C# и знание платформы .NET.
— Опыт создания RESTful API с использованием ASP.NET Core.
— Опыт работы с Entity Framework Core, знание SQL и опыт работы с MS SQL Server и PostgreSQL.
— Опыт работы с Kafka, RabbitMQ и Redis.
— Опыт работы с Elasticsearch.
— Понимание и применение принципов SOLID, а также знание базовых алгоритмов и структур данных.
— Умение доводить начатые задачи до конца и отвечать за результат.
— Сильное желание и готовность постоянно изучать новое и развиваться.
Условия:
— Официальное оформление согласно кодексу РК.
— 5 дневная рабочая неделя.
— Возможность роста и развития в компании.
Задачи:
— Поддержка и развитие инфраструктуры на Ubuntu 22.04/24.04;
— Настройка и сопровождение CI/CD в GitLab;
— Управление кластерами Kubernetes и окружениями на Docker Compose;
— Настройка серверов с GPU (драйверы NVIDIA, контейнерный рантайм, мониторинг утилизации);
— Поддержка инфраструктур;
— Управление стеком логирования;
— Диагностика инцидентов (логи systemd, подов, пайплайнов, Graylog);
— Написание документации и runbook'ов.
Требования:
— ОС и системное администрирование;
— Уверенное администрирование Ubuntu 22.04 и 24.04 (установка, настройка, обновление, решение проблем);
— Systemd: написание и отладка unit-файлов, работа с journalctl, таймерами, управление сервисами;
— Docker: создание и оптимизация образов, понимание устройства контейнеров;
— Docker Compose: запуск и поддержка многоконтейнерных окружений;
— Kubernetes: опыт эксплуатации production-кластеров, Helm, работа с подами, сервисами, ingress, PVC, секретами;
— GitLab CI/CD: построение пайплайнов, настройка раннеров, интеграция с Kubernetes;
— Работа с драйверами NVIDIA под Linux: установка, отладка, решение конфликтов при обновлении ядра, настройка NVIDIA Container Toolkit;
— Проброс GPU в Docker и Kubernetes;
— Эксплуатация PostgreSQL: установка, настройка репликации, бэкапы, мониторинг;
— etcd: понимание устройства, дефрагментация, бэкап и восстановление как для K8S так и для приложений;
— RabbitMQ: настройка кластеризации, мониторинг очередей, управление пользователями и правами, помощь разработчикам;
— Kafka: администрирование кластеров, работа с топиками, consumer groups, оффсетами, настройка репликации;
— OpenSearch: установка, настройка репликации, бэкапы, мониторинг, настройка индексов, ILM-политик, шардирование, интеграция с Graylog;
— Graylog: развертывание, настройка индексов, streams, pipelines, дашбордов, алертов;
— Prometheus + Grafana: настройка сбора метрик, дашбордов, алертов;
— Понимание TCP/IP, DNS, firewall (iptables/ufw), обратный прокси (nginx).
Условия:
— Удаленный формат работы;
— Уровень оплаты после результатов собеседования;
— Гибкий режим начало/конец рабочего дня.
Задачи:
— Развёртывать и администрировать Kubernetes-кластеры (DropApp/OpenShift): настройка ресурсов, квот
— Строить и поддерживать CI/CD-конвейеры (Jenkins + Bitbucket): от сборки Docker-образов до деплоя в prod
— Настраивать GitOps-процессы (ArgoCD + Helmfile): declarative deployment, automated sync
— Конфигурировать и поддерживать service mesh (Istio / Platform V SSM): mTLS, traffic splitting, egress control
— Обслуживать мониторинг (Prometheus + Grafana) и логирование (PVS + Kafka): написание правил алертинга, dashboards
— Писать и поддерживать Helm-чарты, стандартизировать шаблоны для продуктовых команд
— Собирать и оптимизировать Docker-образы (buildKit)
— Обеспечивать безопасность контейнеров: security contexts, network policies, оперативное устранение уязвимостей
— Работать с заказчиками из продуктовых команд: собирать требования, предлагать решения, документировать изменнеия
— Участвовать в incident response, проводить postmortem-анализ, внедрять preventive-меры
— Поддерживать и развивать shared libraries для стандартизации пайплайнов
Требования:
— Kubernetes: уверенное знание (deployment, service, configmap, secrets, hpa, pvc), опыт от 2 лет
— CI/CD: Jenkins pipeline DSL (Groovy), опыт написания shared libraries
— GitOps: практический опыт работы с ArgoCD (проекты, application lifecycle)
— Helm: написание и поддержка Helm-чартов, знакомство с Helmfile
— Мониторинг: настройка и обслуживание Prometheus (scrape configs, recording/alerting rules), Grafana
— Docker: написание и оптимизация Dockerfile, сборка образов, работа с container registry
— Linux и сети: понимание принципов работы Linux, TCP/IP, DNS, load balancing
— Системы управления задачами: опыт работы с issue tracking, написание фильтров и запросов
Желательное:
— Опыт работы с OpenShift
— Знание Ansible (roles, playbooks)
— Понимание принципов работы Istio / Service Mesh (VirtualService, DestinationRule, Gateway)
— Опыт работы с системами сбора логов (PVS, ELK, OpenSearch)
— Знание принципов безопасности Kubernetes (security contexts, network policies)
— Опыт работы с IAM (OIDC, service accounts, RBAC)
— Знание Kafka (event streaming, интеграция с логированием)
Будет большим плюсом:
— Опыт миграции приложений на новую платформу контейнеризации
— Знание SRE-практик (SLO/SLI, error budgets, SLA)
— Опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов
— Инструментальное владение AI для анализа, генерации и автоматизации.
Условия:
— Комфортный современный офис рядом с м. Тульская
— Возможность выбрать удобный график – офис/гибрид
— Ежегодный пересмотр зарплаты и годовая премия
— Корпоративный спортзал и зоны отдыха
— Более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
— Расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа
— Гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
— Подписка Прайм с возможностью совместного использования на трёх близких
— Вознаграждение за рекомендацию друзей в команду Сбера
Основные требования:
— Знание классических алгоритмов и структур данных, паттернов проектирования, опыт их применения;
— Знание и применение принципов дизайна классов/компонентов и чистого безопасного кода;
— Понимание того, как устроены используемые в работе фреймворки и библиотеки;
— Знание распространенных практик и инструментов разработки программного обеспечения (в рамках своего направления разработки);
— Опыт работы с Git flow, Gitlab CI;
— Jira, Confluence на уровне пользователя;
— Умение тестировать и документировать собственный код;
— Навыки командной работы;
— Форматы обмена данными;
— Навыки работы с UML;
— Навыки Unit тестирования;
— Знания об ассинхронных запросах;
— Инструменты работы с API (Postman, Swagger);
— Опыт разработки высоконагруженных систем на Golang ;
— Опыт работы с RDBMS (PostgreSQL) и NoSQL;
— Работа с метриками разработанных сервисов на всех этапах их жизненного цикла;
— Опыт работы с Docker, Kubernetes, Redis, RabbitMQ, IBM MQ, Kafka;
— Разработка под Unix / Linux;
— Умение работать с протоколами REST, SOAP, GRPC, WebSocket;
— Коммерческая разработка на Go Lang;
Задачи:
— Участие в разработке архитектуры приложений и компонентов, самостоятельное проектирование небольших модулей
— Разработка приложений и услуг, внедрение лучших практик тестируемого кода
— Структурный дизайн базы данных, оптимизация SQL-запросов с помощью AI
— Управление процессами развертывания продукта, настройка CI/CD, автоматизация сборок и деплоя
— Написание чистого, структурированного и документированного кода
— Разработка и внедрение интеграционных тестов, использование инструментов автоматизированного тестирования
— Анализ и интеграция внешних API
— Рефакторинг кода, в том числе с использованием AI
— Полноценное участие в Code Review, помощь младшим коллегам, объяснение лучших практик
— Анализ метрик и производительности, профилирование кода, внедрение инструментов мониторинга (Crashlytics, Performance)
— Взаимодействие с бизнесом: обсуждение требований, анализ пользовательского опыта, предложение улучшений продукта
— Оценка задач, сроков и рисков, самостоятельное ведение задач и управление небольшими проектами
— Исследование технологий, экспериментирование с новыми инструментами, внедрение инновационных решений
— Наставничество Junior-разработчиков, помощь в адаптации в команде, передача знаний
— Проведение грейдинга разработчиков, участие в стратегическом планировании команды
— Управление техническими целями в команде, постановка задач, распределение приоритетов
— Делегирование и автоматизация рутинных процессов с AI (генерация документации, тестов, мониторинг кода)
— Интеграция AI-инструментов в процесс разработки команды, улучшение CI/CD с помощью AI
— Участие в мероприятиях по развитию бренда работодателя, внутренних митапах и обучающих сессиях
— Соблюдение высокого уровня деловой этики, ценностей компании, Кодекса поведения и внутренних политик
— Ознакомление и соблюдение внутренних регламентов, должностных инструкций, графиков и процедур
— Соблюдение требований по безопасности и охране труда, пожарной и электробезопасности, промышленной безопасности и санитарным нормам
— Замещение временно отсутствующих сотрудников по поручению руководителя
Условия:
— Конструктор льгот: cтраховка, билеты, курсы, фитнес, садик — решаешь ты
— Поддержка психологов: забота о твоем ментальном здоровье
— Курсы и книги: от Coursera, LinkedIn Learning, WebTutor и Альпина — за наш счет
— Конкурентная зарплата: регулярно сверяемся с рынком и пересматриваем, а ещё платим бонус за выполнение KPI
— Связь от Beeline: будь на связи, расходы мы берем на себя
— Карьерный рост: возможность карьерного роста в крупной технологичной компании с 10 млн клиентов
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$285,000
—
$320,000 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote - United States
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Honeycomb is an observability platform that helps engineering teams understand how their software behaves in production. Our Tenant team is behind Honeycomb Private Cloud, a brand new product that allows customers to have their own Honeycomb instance.
What you'll do
Own delivery of Honeycomb Private Cloud
— the infrastructure, tooling, and operational processes that let enterprise customers run Honeycomb inside their own cloud environment.
Grow the product
— we anticipate significant growth in the next year; help us meet sales goals and build relationships to support it.
Work at the customer boundary
— partner with Field Engineering, Support, and Sales on PoCs, security reviews, access negotiations, and contract asks, and help the team know when to take feedback and when to help us show the customer what good looks like.
Lead across the org
— Private Cloud depends on many engineering teams across the org. We maintain a tight drift between SaaS and Private Cloud, and this role will need to be able to understand and prioritize work that touches all parts of our engineering org.
Feedback loops for developers.
We learn a lot about Honeycomb as a product while building Honeycomb. Ensure that we push Private-Cloud-inspired tooling back into our SaaS infrastructure so each side continues to make the other better.
Build the team
— grow and develop a small, tenured, senior, very high-context team; remove the single points of failure that come with that; hire and onboard the next engineers to scale the team as the product offering scales.
What we're looking for
3+ years as an Engineering manager for a highly technical, senior team.
You have a solid track record as an engineer, influencing without authority, and leaving things better than you found them.
You've managed or led a team that carried a real production on-call rotation, and you treat operational health as a core requirement.
Experience shipping and operating software in environments you don't fully control — on-prem, private cloud, BYOC, or managed single-tenant. You know what version skew, partial telemetry, and customer security constraints do to a roadmap.
Enough Kubernetes and AWS fluency to review a design, ask the challenging questions, and be useful in an incident review. You don't need to be the person writing the Terraform.
Comfort being customer-facing with enterprise buyers: security questionnaires, access models, procurement, escalations.
Ruthless prioritization on a small team with an enormous surface area — you can name what you decided
not
to do, and why.
Hiring and onboarding engineers into a domain with a steep ramp.
Comfort with AI tooling, and a point of view on where it helps and where it doesn't.
Comfort being an escalation point for engineering emergencies as part of the Foundation leadership team
Bonus points
Familiarity with observability / OpenTelemetry (Honeycomb's domain).
You're still hands-on and enjoy contributing to and reviewing code (welcome, but it won't be your primary role here).
Background in Go, Terraform, Kafka, and large-scale data infrastructure.
FedRAMP, GovCloud, or regulated-industry compliance experience.
A field-adjacent past — solutions architecture, consulting, or deployment engineering.
Base Salary based on level of experience
$208,260
—
$234,000 USD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
The vision for the Lakehouse Infra team is to provide
reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success.
Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us!
What you’ll do
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For:
You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
CAN base pay range per year: $
153,000
- $
213,000 CAD.
This posting is for an existing vacancy.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.
The vision for the Lakehouse Infra team is to provide
reliable, scalable, self-serve and Affirm-optimized offline data access to enable ML, Product, and Financial Engineering success.
Our team is responsible for hosting the data infrastructure that serves as a backbone for processing various business critical money and loan movement workloads at Affirm across our batch and analytics ecosystems. Affirm is growing rapidly and so is the need for reliable and high availability frameworks. If solving data lake challenges at scale excites you, come join us!
What you’ll do
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For:
You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
You have a track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
Experience scaling relevant technologies such as Iceberg, Flink, Airflow, Spark, Kafka, Snowflake, and Terraform.
You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Pay Grade - N
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range.
Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA base pay range (CA, WA, NY, NJ, CT) per year: $
195,000
- $
255,000
USA base pay range (all other U.S. states) per year: $173,000 - $233,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Slovenia; Lithuania; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Slovakia; 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.
The Pro team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in Rust and C++ and work agile around the globe.
The Opportunity
- Design and implement robust Rust and C++ services and libraries that power trading, payments, and crypto experiences with a focus on reliability, performance, and user impact.
- Write reusable, testable, and highly efficient code that scales across teams and supports revenue-critical systems without compromising safety or security.
- Collaborate on large-scale distributed systems architecture, translating evolving product requirements into resilient, low-latency solutions.
- Work alongside hundreds of experienced Rust and C++ engineers, contributing to a high-performance, product-driven engineering culture.
What You Bring
- 3+ years of software engineering experience
- Experience building financial trading focused products
- Proficient in writing network services or asynchronous code in Rust
- Experience with modern C++, including performance-sensitive, low-latency systems
- Have a security-first mindset during system design to ensure robustness
- Demonstrate the ability to autonomously debug issues across the stack (OS, network, application)
- Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions
- Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems
- Take complete end-to-end ownership of systems and libraries
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Задачи:
— Создавать высокопроизводительные edge-сервисы на Go
— Проектировать архитектуру offline-first и синхронизацию cloud-to-edge
— Разрабатывать системы обмена сообщениями с использованием NATS, Kafka, MQTT
— Управлять развертыванием в Kubernetes с Helm
— Оптимизировать сервисы для edge-оборудования
— Участвовать в архитектурных и код-ревью
Требования:
— Опыт разработки ПО не менее 7 лет
— Уверенные знания Golang
— Опыт работы с распределёнными системами и event-driven архитектурой
— Знания Kubernetes, Helm, Docker
— Опыт работы с системами обмена сообщениями NATS, Kafka или аналогичными
— Знания OAuth2 и JWT
— Опыт работы с CI/CD
Будет плюсом:
— Знание MQTT
— Опыт работы с Spectro Cloud Palette
— Опыт в POS / ресторанных технологиях
— Знание GraphQL federation
Ищем Data Engineer в крупную технологическую компанию, которая разрабатывает высоконагруженные платформенные продукты для международных рынков в entertainment-индустрии. Внутри — развитое data-направление и задачи, связанные с построением и развитием современной платформы данных.
Чем предстоит заниматься:
— проектировать, разрабатывать и развивать data pipelines;
— работать с DWH: моделями данных, слоями, витринами и ETL/ELT-процессами;
— писать и оптимизировать сложные SQL-запросы;
— разрабатывать на Python инструменты и сервисы для работы с данными;
— поддерживать и развивать production-пайплайны;
— работать с большими объемами данных и распределенной обработкой;
— следить за качеством и надежностью данных;
— участвовать в выборе технических решений и развитии data-платформы;
— взаимодействовать с аналитиками, разработчиками и другими продуктовыми командами.
Для Senior-уровня также важен опыт самостоятельного проектирования архитектурных решений и способность брать ответственность за технический подход к задаче.
Требования:
— очень хорошее знание SQL и опыт работы со сложными запросами и большими объемами данных;
— уверенный Python: не только небольшие скрипты, но и production-код, библиотеки или внутренние инструменты;
— хорошее понимание принципов построения DWH;
— опыт проектирования и разработки ETL/ELT-процессов;
— понимание моделирования данных, построения витрин и контроля качества данных;
— умение самостоятельно разбираться в задаче и предлагать техническое решение.
Желательно:
— практический опыт с Airflow: разработка и поддержка DAG, scheduling, retries, backfill, monitoring;
— опыт с dbt или похожими инструментами трансформации данных;
— опыт со Spark и понимание распределенной обработки данных;
— работа с аналитическими СУБД: ClickHouse, Greenplum, Vertica или другими MPP/OLAP-системами.
Будет плюсом:
— Kafka;
— Iceberg;
— Trino;
— Docker / Kubernetes;
— CI/CD;
— понимание подходов Data Mesh;
— участие в open-source или собственные технические проекты.
Условия:
— full-time;
— удаленный формат работы;
— гибкое начало рабочего дня;
— корпоративная техника;
— испытательный срок 3 месяца;
— расширенный пакет бенефитов после испытательного срока: медицинская страховка, бюджет на спорт / языки / дополнительное медицинское покрытие, дополнительные оплачиваемые дни отдыха;
— внутренние технические встречи, тренинги и возможность участия в профессиональных конференциях и обучении.
Процесс:
Знакомство с рекрутером → короткий технический скрининг → технические секции по SQL, DWH и Python → для кандидатов Senior-уровня дополнительная секция по архитектуре и проектированию → встреча с командой.
О проекте:
Развитие сервисов банка по продаже инвестиционных и памятных монет из драгоценных металлов.
Работа с банковскими системами, микросервисной архитектурой и интеграционными решениями.
Задачи:
- Анализ бизнес-потребностей и формализация системных требований
- Проектирование логики микросервисов и интеграционных взаимодействий
- Разработка и согласование технической документации
- Декомпозиция User Story, формирование бэклога, участие в спринтах
- Описание требований и сценариев в формате Gherkin (Given/When/Then)
- Валидация тест-кейсов и участие в приемке продукта
- Использование LLM для генерации требований
Требования:
- Опыт системного анализа от 5 лет
- Опыт проектирования микросервисов и их взаимодействий
- Уверенное знание REST / SOAP / Kafka
- Работа с форматами данных JSON / XSD
- Опыт сбора, анализа и формализации бизнес- и системных требований
- Знание SQL, опыт оптимизации запросов и проектирования БД
- Понимание реляционных и нереляционных БД
- Опыт работы с Jira / Confluence / Redmine
- Знание Agile / Scrum / Kanban / Waterfall
- Опыт написания требований в формате Gherkin
- Опыт применения LLM в работе с требованиями
Условия:
- Работа над развитием банковского продукта
- Участие в проектировании сложных интеграционных решений
- Работа в команде аналитиков, разработчиков и архитекторов
УдалённоmiddleГеография найма не уточнена
УдалённоseniorРоссия
УдалённоГеография найма не уточнена
ГибридМосква
middleАлматы
УдалённоseniorRemote - Canada
УдалённоseniorRemote - United States
УдалённоseniorRemote Canada
УдалённоseniorRemote US
УдалённоBrazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Slovenia; Lithuania; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Slovakia; Bulgaria; 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
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