low-code developer for real-time market data

EPAM builds enterprise software products, open source solutions, and accelerators. The role supports a Real-Time platform that provides measurable customer experience insights for exchange data and feeds covering over 100 million financial instruments in over 34 countries.

• 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 reflecting the 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/API-driven workflows for observability assets to ensure consistent deployment, versioning, and promotion through build pipelines;
• Collaborate with squads to integrate observability instrumentation into applications throughout Dev, Test, PPE, and Prod environments.

• 7+ Years of hands-on software engineering experience building data-pipeline applications, including metrics aggregation, distributed tracing, or real-time streaming;
• Industry experience with 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);
• Understanding of C++ to comprehend existing applications;
• 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, including deploying and operating services at scale;
• Proficiency with API- and GitOps-based workflows, config-as-code, and CI/CD pipelines for infrastructure;
• Strong analytical mindset for modeling complex distributed-system behaviors and understanding customer impact;
• Ability to communicate effectively across squads and simplify system performance concepts for broader stakeholders;
• English proficiency at a B2+ level.

• Remote work in Poland.