Senior Observability engineer (Real-time monitoring and FOCUS framework)

Position: Senior Engineer Observability & Real-Time Monitoring (FOCUS Framework)

About the Role

We are seeking an experienced Observability Engineer to build and enhance real-time monitoring and logging capabilities, starting with the Surveys and Marketplace Catalog-air services. The engineer will implement OpenTelemetry-based observability, design and extend SDKs for consistent instrumentation, stream data pipelines into AWS-native tools, and create real-time health dashboards. This role is part of a high-visibility initiative that ensures application health, operational transparency, and proactive alerting for mission-critical customer-facing systems.

Responsibilities

• Instrument backend services using OpenTelemetry SDKs for logs, traces, and metrics.
• Develop and extend observability SDKs/libraries for consistent instrumentation across services.
• Integrate observability data pipelines with the FOCUS framework.
• Configure and manage AWS OpenSearch, QuickSight, and Kinesis Data Streams/KDA.
• Build and deploy QuickSight dashboards for service health monitoring.
• Implement near real-time alerting and automated escalation mechanisms.
• Extend monitoring to additional services (e.g., Catalog-air).
• Define performance baselines and set up anomaly detection rules.
• Collaborate with backend and DevOps teams to ensure secure and scalable observability pipelines.
• Document runbooks, observability architecture, and onboarding guides.

Must-Have Skills

• 5+ years of experience in backend or DevOps engineering focused on observability.
• Strong hands-on expertise in OpenTelemetry SDKs APIs, instrumentation and integrations.
• Proficient in AWS services: OpenSearch, CloudWatch, Kinesis Data Streams & Analytics, Lambda, QuickSight.
• Experience in log/metric processing and visualization pipelines.
• Experience in designing SDKs/libraries for instrumentation and telemetry collection.
• Solid scripting experience (Node.js, Python, or TypeScript).
• Experience with distributed systems and microservices monitoring.
• Understanding of security and privacy best practices in observability.

Good-to-have Skills

• Exposure to GraphQL APIs and AWS AppSync instrumentation.
• Familiarity with LLM/AI-assisted logging enrichment.
• Experience with client-facing runtime app monitoring (e.g., browser/IFE environment).
• Background in performance benchmarking, SLIs/SLOs, and operational excellence.
• Agile experience using Jira and Confluence.