Note: The job is a remote job and is open to candidates in USA. EPAM Systems is 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 involves designing, building, and improving software and infrastructure to 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
Skills
- 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)
- 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
Benefits
- Full access to cutting-edge tools and technologies
- Competitive compensation depending on experience and skills
- All-around Social package: professional & soft skills training, medical & family care programs, sports
- Free English classes
- Unlimited access to LinkedIn learning solutions
- Continuous experience exchange with experts and professionals worldwide
- Friendly team and comfortable working environment
- Engineering, corporate, and social events within and outside the Company
- Flexible working schedule
- Opportunities for self-realization
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