Senior Real-Time Observability Engineer

Job description

We are seeking a Senior Real-Time Observability Engineer to build and evolve the systems that provide unified visibility into a distributed, latency-sensitive Real-Time platform, working across telemetry pipelines, synthetic monitoring, and GitOps-driven observability infrastructure.

We’re launching a Double Referral Bonus Campaign for this role in EPAM Romania open positions, covering candidates referred and hired between September 7th, 2026 and December 31st, 2026. The campaign applies to A3+ roles, for both B2B and permanent positions, across all skills and technologies.

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/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

Requirements

- 5+ years of hands-on software engineering experience building data-pipeline applications, including 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 in C++ to understand existing applications

- English proficiency at B2 level or higher

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, 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, along with effective communication skills to work across squads and simplify system performance concepts for broader stakeholders