Databento
Databento
Databento API के माध्यम से रीयल-टाइम और ऐतिहासिक वित्तीय डेटा के लिए मार्केट डेटा इन्फ्रास्ट्रक्चर उपलब्ध कराता है। इसका प्लेटफ़ॉर्म फ्यूचर्स, ऑप्शंस, इक्विटीज़ और अन्य एसेट क्लासेज़ में सामान्यीकृत जानकारी प्रदान करता है, जिसमें लाइव स्ट्रीम, ऐतिहासिक डेटासेट, कॉर्पोरेट कार्रवाई का विवरण और एक्सचेंज ऑर्डर बुक का पूर्ण रीप्ले शामिल है। कम विलंबता वाली पहुँच के लिए डेटा को-लोकेशन साइट्स से प्राप्त किया जाता है, जबकि Python और C++ के लिए डेवलपर-केंद्रित टूल और इंटीग्रेशन टीमों को मार्केट डेटा एप्लिकेशन बनाने और संचालित करने में मदद करते हैं। Databento लचीले एक्सेस और मूल्य निर्धारण विकल्पों के साथ 3,000 से अधिक फर्मों और स्टार्टअप्स को सेवाएँ प्रदान करता है।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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

लाभ

  • 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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