Sr. Observability Engineer - Integration Layer & OpenTelemetry (OTEL)

Zensar

Bengaluru

Hybrid

INR 2,500,000 - 4,000,000

Full time

7 days ago
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Job summary

Zensar in Bengaluru seeks an experienced engineer to design and implement OpenTelemetry instrumentation across integration components, enabling metrics, logs, and traces collection in APIs, messaging, MFT, and SAP flows.

You will ensure end-to-end observability for 1,300+ integrations, propagate correlation IDs, and integrate OTEL with Prometheus, Grafana, CloudWatch, and AWS-native stacks, collaborating with platform and monitoring teams.

Qualifications

  • Bachelor’s degree in Engineering or related field.
  • 8–12 years of experience in observability or integration platforms.

Responsibilities

  • Design and implement OpenTelemetry instrumentation across integration components.
  • Enable telemetry collection (metrics, logs, traces) across APIs, messaging, batch, and MFT flows.
  • Define instrumentation standards and patterns for AWS-native integration services.
  • Implement end-to-end distributed tracing across integration flows and propagate correlation IDs.
  • Instrument integration runtimes for observability data generation and ensure visibility of service dependencies.
  • Integrate OTEL outputs with Prometheus, Grafana, CloudWatch, and AWS-native stacks.

Skills

OpenTelemetry instrumentation
Distributed systems & tracing
AWS services (Lambda, API Gateway, EKS
Metrics/logging/tracing pipelines
Microservices & event-driven
Troubleshooting & analysis

Education

Bachelor's degree in Engineering

Tools

Prometheus
Grafana
CloudWatch
AWS X-Ray

Job description

This role is part of the integration modernization program, focused on building a next-generation observability platform while migrating WebMethods integrations to AWS. The engineer will design and implement the telemetry and instrumentation layer using OpenTelemetry (OTEL), enabling unified collection of metrics, logs, and traces across APIs, messaging, MFT, and SAP integrations.

The role focuses on ensuring end-to-end observability across ~1,300+ integrations, supporting distributed tracing, correlation, and deep system visibility. It works closely with platform, integration, and monitoring teams to ensure telemetry data is correctly generated, propagated, and consumed by downstream tools such as Prometheus, Grafana, CloudWatch, and X-Ray.

Required Skills Competencies
  • Strong experience with OpenTelemetry (OTEL) instrumentation
  • Solid understanding of distributed systems and tracing concepts
  • Experience with AWS services (Lambda, API Gateway, EKS, EventBridge, SQS)
  • Good knowledge of metrics, logging, and tracing pipelines
  • Strong understanding of microservices and event-driven architectures
  • Excellent troubleshooting and analytical skills
Good to Have
  • Experience with Prometheus, Grafana, and CloudWatch integration
  • Knowledge of AWS X-Ray and tracing frameworks
  • Familiarity with Spring Boot / Camel-based services instrumentation
Qualifications
  • Bachelor s degree in Engineering or related field
  • 8-12 years of experience
Telemetry Instrumentation Design
  • Design and implement OpenTelemetry (OTEL) instrumentation across integration components
  • Enable telemetry collection (metrics, logs, traces) across APIs, messaging, batch, and MFT flows
  • Define instrumentation standards and patterns for AWS-native integration services
Distributed Tracing Correlation
  • Implement end-to-end distributed tracing across integration flows
  • Enable trace propagation and correlation IDs across systems
  • Ensure seamless traceability across services like API Gateway, EKS, Lambda, EventBridge, and SQS
Integration Layer Observability
  • Instrument integration runtimes for observability data generation
  • Ensure visibility into transaction flows, payload movement, and service dependencies
  • Support implementation of structured telemetry data for downstream analytics
Platform Integration
  • Integrate OTEL outputs with other tools
  • Ensure compatibility with AWS-native observability stack and pipelines
Reliability Troubleshooting Enablement
  • Enable observability capabilities to support root cause analysis and troubleshooting
  • Provide telemetry insights for performance bottlenecks and system failures
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