обновлено 5 дней назад
Distributed Systems Engineer - Data Platform (Delivery, Database, Retrieval)
54 000 - 91 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Distributed Systems Engineer - Data Platform (Delivery, Database, Retrieval) (Go/data platforms): Building and operating high-throughput distributed systems for data ingestion, analytical storage, delivery, and customer-facing retrieval with an accent on reliability, performance, and scalability. Focus on ClickHouse database systems, streaming pipelines, GraphQL APIs, observability, and safely handling failures in production.
Location: Hybrid in Atlanta, Austin, Denver, Seattle, or Washington DC, United States, or Lisbon, Portugal. Offer-stage candidates may be asked to attend an in-person interview at a office or hub.
Estimated annual salary: €54,000–€91,000 for Portugal-based hires; $136,000–$187,000 for Colorado-based hires; $150,000–$206,000 for Washington-based hires.
Company
operates a global network and provides Internet performance, security, analytics, and reliability services.
What you will do
- Design, build, and operate distributed systems processing very large data volumes.
- Develop backend services and data platform components primarily in Go.
- Improve data integrity, delivery latency, query performance, availability, and operational efficiency.
- Implement backpressure, retries, idempotency, replication, and graceful degradation for safe failure handling.
- Define service-level objectives, monitor production health, plan capacity, and respond to incidents.
- Build ClickHouse clusters, streaming pipelines, GraphQL APIs, log delivery integrations, and near real-time alerting systems.
Requirements
- At least three years of professional software engineering experience with backend, infrastructure, database, or distributed-data systems.
- Strong Go skills or substantial systems programming experience with Rust or C++ and the ability to become productive in Go.
- Experience deploying, monitoring, debugging, and operating production services, including capacity planning and incident response.
- Understanding of concurrency, consistency, fault tolerance, partitioning, and data integrity.
- Experience with high-throughput or low-latency data processing and observability tools such as Prometheus and Grafana.
- Demonstrated depth in database systems or data delivery and retrieval, including analytical databases, streaming systems, data pipelines, APIs, or customer-facing integrations.
Nice to have
- ClickHouse or another large-scale analytical database.
- Kafka, Flink, GraphQL, Terraform, Salt, Docker, Kubernetes, or Linux container technologies.
- Contributions to open-source database or distributed-systems projects.
Culture & Benefits
- Hybrid work with participation in an on-call rotation for production systems.
- Medical, dental, vision, flexible spending, commuter, fertility, family-forming, and mental health benefits.
- Flexible paid time off and parental, pregnancy health, medical, and bereavement leave programs.
- 401(k), disability, life and accident insurance, and employee stock participation plans for eligible employees.
- Global travel medical insurance and participation in the company equity plan.
Hiring process
- Candidates progressing to the offer stage may be asked to attend an in-person interview at a office or hub.
- Employment may require authorization to receive technology controlled under U.S. export laws without sponsorship for an export license.
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