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CL

Senior Software Engineer - Clickpipes (CDC/Streaming)

Архив
ClickHouse · Аналитическая СУБД
Вакансия в архиве · закрыта 17.10
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Вакансии в Германии

О вакансии

Откуда можно работать
Удалённо · Германия
Занятость
Full-time
из текста вакансии
Английский
C1
по другим вакансиям компании
Уровень
Senior
указан работодателем
Даты
Опубликована 10.09 · видели у компании с 28.09 по 15.10 · закрыта 17.10
вакансия закрыта, проверки прекращены
Почему в каталоге:Основана выходцами из Восточной Европы, Кавказа и Центральной АзииПодробнее о компании →

Суть роли

What You’ll Do:

  • Build data-intensive systemsDesign and develop high-throughput integrations with databases (Postgres, MySQL, MongoDB), data lakes (Iceberg, Delta Lake), and data warehouses (BigQuery, Snowflake).
  • Handle edge cases in real-world production scenarios: unconventional database setups, internals of data types, database upgrades/failovers, large transactions, etc.
  • Design integration solutions to enable users to fully harness ClickHouse's performance and throughput.

Own end-to-end reliability

  • Debug complex issues in production leveraging runtime diagnostics (e.g. pprof, parca) and observability tools (e.g. metrics, logging, tracing).
  • Build and improve infrastructure and tools to increase system reliability, reduce incident response time, and simplify/automate operations.
  • Write clear documentation, both publicly and internally.
  • Participate in on-call rotation.

Drive product innovation

  • Work directly with customers to understand integration requirements and discover gaps in existing product.
  • Collaborate cross-functionally with internal teams to ensure operational efficiency.
  • Lead technical discussions and influence product roadmaps.

Требования

About You:

  • 5+ years of industry experience building data-intensive software solutions.
  • Proficient in Go, or experienced in systems programming with willingness to ramp up quickly in Go.
  • Cloud-native experience deploying and operating services on at least one major cloud platform (AWS/GCP/Azure).
  • Practical experience with Kubernetes.
  • Strong problem solver and solid production debugging skills.
  • Clear communication in writing (design docs, code review) and verbally (technical discussions, customer calls, incident response).

Будет плюсом

Bonus Points

  • Experience with database replication technologies (CDC, logical replication).
  • Experience with durable execution frameworks (Temporal).
  • Experience with data formats and protocols (Avro, Parquet, Protobuf).
  • Experience with modern data processing frameworks (e.g. Kafka, Spark, Flink).
  • Experience with maintaining/contributing to open-source software.

Условия и бенефиты

Perks

  • Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
  • Healthcare - Employer contributions towards your healthcare.
  • Equity in the company - Every new team member who joins our company receives stock options.
  • Time off - Flexible time off in the US, generous entitlement in other countries.
  • A USD$500 Home office setup if you’re a remote employee.
  • Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out ourblog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 federal, state or local laws.

Please see here for our Privacy Statement.

Навыки

GoKubernetesAWSGoogle CloudAzurePostgreSQLMySQLMongoDBIcebergDelta LakeBigQuerySnowflakepprofparcametricsloggingtracingTemporalAvroParquet

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