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Senior Site Reliability Engineer, Observability (Mumbai)

MumbaiPosted 1 month ago
Software engineeringSeniorFull Time; Regular
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This role is eligible for our hybrid work model: Two days in-office. Senior Site Reliability Engineer, Observability. Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, youre in the right place. Why this jobs a big deal: As Priceline continues to scale globally, reliable production visibility is critical to delivering seamless customer experiences. We are investing in strengthening our observability foundations to improve detection, diagnosis, and overall system reliability. This role plays a key part in maturing our observability capabilitiesstandardizing instrumentation, improving telemetry quality, and enabling faster root cause analysis that directly impacts MTTR and MTTD. In this role you will get to: - Support and evolve end-to-end observability solutions for collecting, shipping, storing, and querying OpenTelemetry signals (metrics, logs, and traces) across infrastructure, containers, and Kubernetes environments, while influencing architectural decisions for scalability and long-term sustainability. - Administer and operate core observability platforms (Splunk, Recent Relic, Click House, Grafana, Lightrun), including onboarding, access management, configuration, upgrades, and ensuring platform reliability, performance, and SLAs. - Drive the adoption and standardization of instrumentation practices across services, establishing consistent logging, metrics, and distributed tracing standards, schemas, and conventions. - Partner with product, platform, and engineering teams to enhance production visibility, support SLO-driven reliability practices, and act as a subject matter expert for observability. - Optimize telemetry pipelines for performance, data quality, scalability, and cost efficiency, including implementing strategies such as sampling, filtering, and data lifecycle management. - Define and support o .

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