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3.0 - 7.0 years

0 Lacs

pune, maharashtra

On-site

Sarvaha is seeking a skilled Observability Engineer with at least 3 years of experience to assist in the design, deployment, and scaling of monitoring and logging infrastructure on Kubernetes. As part of this role, you will be instrumental in establishing end-to-end visibility in cloud environments by managing Petabyte data scales, aiding teams in improving reliability, early anomaly detection, and promoting operational excellence. You will be responsible for configuring and overseeing observability agents on AWS, Azure & GCP, utilizing Infrastructure as Code (IaC) techniques like Terraform, Helm & GitOps for automating the deployment of the Observability stack. Additionally, you should have experience working with various language stacks such as Java, Ruby, Python, and Go, instrumenting services using OpenTelemetry, integrating telemetry pipelines, optimizing telemetry metrics storage with time-series databases like Mimir & NoSQL DBs, creating dashboards, setting up alerts, and tracking SLIs/SLOs. Your role will also involve enabling Root Cause Analysis (RCA) and incident response using observability data, as well as securing the observability pipeline. The ideal candidate will possess a BE/BTech/MTech (CS/IT or MCA) degree with a focus on Software Engineering, strong skills in interpreting logs, metrics, and traces, proficiency in tools like LGTM (Loki, Grafana, Tempo, Mimi), Jaeger, Datadog, Zipkin, InfluxDB, familiarity with log frameworks such as log4j, lograge, Zerolog, loguru, knowledge of OpenTelemetry, IaC, and security best practices, ability to document observability processes, logging standards & instrumentation guidelines, proactive issue identification and resolution using observability data, and a commitment to maintaining data quality and integrity throughout the observability pipeline. At Sarvaha, you can expect top-notch remuneration, excellent growth prospects, a supportive work environment with talented individuals, challenging software implementation and deployment tasks, and the flexibility of a hybrid work mode offering complete work-from-home options even prior to the pandemic.,

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