Observability Engineer

4 weeks ago

Pune, Maharashtra, India Sarvaha Systems Full time
Sarvaha would like to welcome a skilled Observability Engineer with a minimum of 3 years of experience to contribute to designing, deploying, and scaling our monitoring and logging infrastructure on Kubernetes .
In this role, you will play a key part in enabling end-to-end visibility across cloud environments by processing Petabyte data scales, helping teams enhance reliability, detect anomalies early, and drive operational excellence.
Sarvaha is a niche software development company that works with some of the best funded startups and established companies across the globe.
Please visit our website at to know more about us.
What You'll Do Configure and manage observability agents across AWS, Azure & GCP Use Ia C techniques and tools such as Terraform, Helm & Git Ops, to automate deployment of Observability stack Experience with different language stacks such as Java, Ruby, Python and Go Instrument services using Open Telemetry and integrate telemetry pipelines Optimize telemetry metrics storage using time-series databases such as Mimir & No SQL DBs Create dashboards, set up alerts, and track SLIs/SLOs Enable RCA and incident response using observability data Secure the observability pipeline You Bring BE/BTech/MTech (CS/IT or MCA), with an emphasis in Software Engineering Strong skills in reading and interpreting logs, metrics, and traces Proficiency with LGTM (Loki, Grafana, Tempo, Mimi) or similar stack, Jaeger, Datadog, Zipkin, Influx DB etc.
Familiarity with log frameworks such as log4j, lograge, Zerolog, loguru etc.
Knowledge of Open Telemetry, Ia C, and security best practices Clear documentation of observability processes, logging standards & instrumentation guidelines Ability to proactively identify, debug, and resolve issues using observability data Focused on maintaining data quality and integrity across the observability pipeline Why Join Sarvaha? Top notch remuneration and excellent growth opportunities An excellent, no-nonsense work environment with the very best people to work with Highly challenging software implementation and deployment problems Hybrid Mode.
We offered complete work from home even before the pandemic.

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