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Senior Site Reliability Engineer (SRE)

Remote in Romania
Advanced Systems Engineering& 13 others
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We are seeking a Senior Site Reliability Engineer to build the application layer that combines single-application observability data into end-to-end insight for a real-time platform. This role applies deep technical expertise to design, build and improve the software and infrastructure that power unified observability across a global Real-Time estate.

Responsibilities
  • Build and maintain application components that aggregate, correlate and present observability data from individual services into unified end-to-end views of the Real-Time platform
  • Implement customer-centric aggregation and hotspot detection algorithms that reflect timeliness, completeness, accuracy and stability of market data across the Real-Time estate
  • Develop and extend telemetry pipelines that ingest, transform and route metrics, traces and logs from distributed services into a coherent observability layer
  • Design and build custom synthetic monitoring agents deployed across hundreds of global sites to continuously measure customer experience of Real-Time data from the edge
  • Implement GitOps and API-driven workflows for observability assets to ensure consistent deployment, versioning and promotion through build pipelines
  • Partner with squads to integrate observability instrumentation into applications throughout Dev, Test, PPE and Prod environments
Requirements
  • 5+ years of hands-on software engineering experience building data-pipeline applications such as metrics aggregation, distributed tracing or real-time streaming
  • Background in latency-sensitive or market data systems
  • Proficiency in at least one systems-level language (C++, Go or Rust) and one scripting/application language (Python, Java or TypeScript)
Nice to have
  • Experience building and operating custom synthetic monitoring solutions at scale, including lightweight agents distributed across geographically diverse sites
  • Familiarity with OpenTelemetry SDKs, collectors and schema conventions for instrumentation and telemetry export
  • Skills in cloud-native, containerized and Kubernetes environments alongside API- and GitOps-based workflows, config-as-code and CI/CD pipelines for infrastructure
  • Strong analytical mindset for modeling distributed-system behaviors combined with effective communication skills to work across squads and simplify performance concepts for stakeholders