SRE Engineer

Role & responsibilities

Key Responsibilities

end-to-end observability stacks

Own and enhance enterprise monitoring platforms (Prometheus, Grafana, ELK, Datadog, New Relic, Splunk, etc.).

alerts, dashboards, SLOs, SLIs, and error budgets

Implement distributed tracing frameworks (OpenTelemetry, Jaeger, Zipkin).

Drive improvements in system performance, uptime, and reliability through SRE best practices.

Work with engineering teams to instrument applications for metrics, logs & traces.

Automate routine operational tasks using scripts (Python / Shell).

Manage cloud infrastructure observability (AWS/Azure/GCP).

Conduct root cause analysis (RCA), incident reviews, and postmortems.

Create runbooks, documentation, and observability standards.

Continuously evaluate new monitoring tools and observability enhancements.

Required Technical Skills

Observability Tools

Prometheus, Grafana

ELK / EFK

Datadog / New Relic / Splunk / Dynatrace (any enterprise tool)

OpenTelemetry

SLI/SLO/SLA frameworks & error budgets

distributed systems, microservices, cloud-native architecture

Linux

CI/CD pipelines

Python / Shell / Bash

Cloud Monitoring (AWS CloudWatch, Azure Monitor, GCP Operations Suite)

Good to Have

Kubernetes monitoring (kube-state-metrics, Prometheus Operator, Lens)

Experience with service meshes (Istio, Linkerd)

Chaos engineering exposure

Infrastructure-as-Code (Terraform, Helm, Ansible)

Soft Skills

Strong communication and stakeholder collaboration

Ability to work under pressure during incidents

Analytical problem-solving mindset

Ownership, accountability, and proactive approach