Databento
Databento
Databento real vaqt rejimidagi va tarixiy moliyaviy ma’lumotlar uchun API’lar orqali bozor ma’lumotlari infratuzilmasini taqdim etadi. Uning platformasi fyucherslar, opsionlar, aksiyalar va boshqa aktiv toifalari bo‘yicha me’yorlashtirilgan ma’lumotlarni, jumladan jonli oqimlar, tarixiy ma’lumotlar to‘plamlari, korporativ harakatlar tafsilotlari hamda birja buyurtmalar kitobining to‘liq qayta namoyish etilishini yetkazib beradi. Ma’lumotlar past kechikishli kirishni qo‘llab-quvvatlash uchun kolokatsiya markazlaridan olinadi. Python va C++ uchun ishlab chiquvchilarga yo‘naltirilgan vositalar va integratsiyalar jamoalarga bozor ma’lumotlari ilovalarini yaratish va boshqarishda yordam beradi. Databento moslashuvchan kirish va narxlash imkoniyatlari orqali 3 000 dan ortiq firma va startapga xizmat ko‘rsatadi.

Site Reliability Engineer — Remote, United States

Maintain reliability, performance, and observability for Databento’s financial market-data platform. Improve deployments, incident response, and backend infrastructure across API and platform services.

Tavsif

  • Own uptime, SLAs, and SLOs for API and platform services
  • Establish reliability and operational standards for developers
  • Build and maintain logging, metrics, and tracing observability
  • Design and operate highly available deployments and containerized environments
  • Profile and optimize Python applications for throughput, latency, and cost
  • Diagnose production issues at the operating-system level with strace, perf, eBPF, ss, and gdb
  • Strengthen deployment processes and CI/CD workflows
  • Join the on-call rotation, lead incident response, and facilitate post-incident reviews
  • Determine necessary fixes and carry projects from initial concept through completion
  • Contribute to petabyte-scale data processing, customer management and billing, and query systems that power APIs

Talablar

  • Mid-level or senior individual contributor
  • Professional experience in SRE, DevOps, or backend engineering, ideally within a trading firm, technology company, or high-growth startup
  • Practical experience with observability tools for logs, metrics, and traces, including Prometheus, OpenTelemetry, VictoriaMetrics, Jaeger, Logstash, Loki, or Vector
  • Experience with containerization and highly available deployment using technologies such as Docker, Podman, Docker Compose, Docker Swarm, Kubernetes, or k3s
  • Advanced Python skills, including application development and performance tuning
  • Proficiency with Linux debugging and profiling tools such as strace, perf, eBPF, ss, and gdb
  • Demonstrated measurable results in a recent position
  • Experience applying alerting and incident-response practices is advantageous
  • Familiarity with configuration management or infrastructure-as-code tools such as Ansible or Terraform is beneficial
  • Experience with HTTP benchmarking, load testing, and capacity planning is a bonus
  • Database schema design and query optimization experience is desirable
  • Strong communication skills and a dependable work ethic in a remote environment
  • Interest in financial data or algorithmic trading

Imtiyozlar

  • Equal employment opportunity and protection against discrimination
  • Workplace accommodations available upon request
  • Option to opt out of AI-powered Talent Matching

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