Вакансия из Hirify Global, списка международных tech-компаний
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$68к$78кмедиана$107к
49 в выборке
На СНГ рынке: $2.7к/мес ($2.2к - $3.5к)
82
Хорошая вакансия
развернуть
Чёткие обязанности, современный backend-стек и участие в развитии нового направления делают вакансию привлекательной, но зарплата не указана, а дежурства стоит учитывать.
Кликните для подробной информации
Зарплата не указанаДежурстваСовременный стекПонятные задачиВлияние на продукт
Оценка от Hirify AI
Мэтч & Сопровод
Покажет вашу совместимость и напишет письмо
Создать профиль и узнать мэтч
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Backend Engineer (Commodities) (Python/Kafka): Building and operating streaming ingestion pipelines, backend services, and APIs that connect sensor, rail, waterway, and maritime data into a unified supply-chain intelligence platform with an accent on telemetry processing, data quality, and service reliability. Focus on designing scalable pipelines, operating cloud services end-to-end, and transforming noisy time-series data into usable customer datasets.
Location: United Kingdom; hybrid workplace
Company
Kpler provides a real-time trade intelligence platform and is expanding it from maritime coverage into North American inland supply chains.
What you will do
Build and maintain scalable ingestion and processing pipelines for sensor, rail, and waterway data.
Develop backend services and RESTful APIs, and contribute to customer-facing web applications.
Validate noisy time-series telemetry and implement monitoring and alerting for data quality.
Own services end to end, including deployments, observability, and on-call support.
Collaborate with data science and sensor operations teams to transform raw telemetry into customer-ready datasets.
Participate in technical design, CI/CD improvements, testing, and documentation.
Requirements
2–4 years of professional software engineering experience building and supporting production software.
Strong Python and relational database skills, including SQL and Postgres.
Experience deploying, debugging, and operating backend services in cloud environments; AWS is preferred.
Hands-on experience with message queues, streaming platforms such as Kafka, and RESTful API development.
Strong problem-solving skills and the ability to turn ambiguous requirements into working code.
Nice to have
Experience with FastAPI, Airflow, TypeScript, Vue, or Elasticsearch.
Exposure to time-series, IoT, remote sensor, or geospatial datasets.
Interest in energy, commodities, or logistics supply chains.
Culture & Benefits
High-autonomy “you build it, you run it” engineering model.
Close collaboration across engineering, data science, and sensor operations.
Participation in an on-call rotation and ownership of service health.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →