Databento
Databento
Databento nodrošina tirgus datu infrastruktūru, izmantojot API reāllaika un vēsturisko finanšu datu apstrādei. Tās platforma piegādā normalizētu informāciju par nākotnes līgumiem, opcijām, akcijām un citām aktīvu klasēm, tostarp tiešraides datu plūsmas, vēsturiskas datu kopas, informāciju par korporatīvajām darbībām un pilnīgu biržas rīkojumu grāmatas atskaņošanu. Dati tiek iegūti no kolokācijas vietām, lai nodrošinātu piekļuvi ar nelielu aizkavi, savukārt izstrādātājiem paredzētie rīki un integrācijas ar Python un C++ palīdz komandām veidot un uzturēt tirgus datu lietotnes. Databento apkalpo vairāk nekā 3 000 uzņēmumu un jaunuzņēmumu, piedāvājot elastīgas piekļuves un cenu noteikšanas iespējas.

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.

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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