SRE Observability Engineer

3 days ago

Gurugram Hyderabad, India Techno Facts Solutions Full time ₹ 15,00,000 - ₹ 37,50,000 per year

Job Title: SRE Observability Engineer

Experience: 8+ Years

Location: Gurugram (Work from Office)

Job Type: Full-Time (FTE)

Notice Period: Immediate Joiners Only

Budget: Up to 25 LPA

Job Description

We are looking for an experienced SRE Observability Engineer who can design, build, and manage observability solutions across distributed systems. The ideal candidate will have strong hands-on expertise in monitoring, logging, alerting, tracing, SRE practices, automation, and system reliability engineering. You will work closely with platform, DevOps, engineering, and cloud teams to ensure system performance, uptime, and reliability.

Key Responsibilities

Build and manage end-to-end observability stacks (Monitoring, Logging, Tracing).

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

Create and tune 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

Strong experience with Observability Tools

Prometheus, Grafana

ELK / EFK

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

OpenTelemetry

Deep knowledge of SLI/SLO/SLA frameworks & error budgets

Strong understanding of distributed systems, microservices, cloud-native architecture

Expertise with Linux, networking basics, system diagnostics

Hands-on with CI/CD pipelines, Infra automation

Scripting using 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

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