# Observability Engineer

> Weekday AI · Bengaluru, India · Full-time · Posted 2026-08-03

**Salary:** INR 500,000–1,700,000

**Workplace:** on_site

**Department:** Weekday's Client via platform

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 500000 - Rs 1700000 (ie INR 5 - 17 LPA)**

Min Experience: 6+ years

Location: Chennai, Bangalore, Hyderabad, Mumbai, Pune  
JobType: full-time

We are looking for a highly skilled **Senior Observability Engineer** to design, implement, and scale enterprise-grade observability platforms that provide deep visibility into distributed systems. This role is ideal for professionals passionate about improving system reliability, performance, and operational excellence through modern observability practices.

As a key member of the engineering team, you will lead the design and deployment of comprehensive monitoring, logging, and tracing solutions while driving the migration from traditional monitoring platforms to a modern observability ecosystem. You will collaborate closely with platform, infrastructure, and application teams to establish best practices and improve the overall health and resilience of mission-critical systems.

## Requirements

### Key Responsibilities

-   Design, develop, and manage scalable end-to-end observability solutions covering metrics, logs, traces, and alerting across enterprise environments.
-   Lead the migration from legacy monitoring platforms to modern observability frameworks and cloud-native monitoring solutions.
-   Deploy, administer, and optimize observability platforms running on Kubernetes or OpenShift environments.
-   Build reusable dashboards, alerts, and monitoring standards to improve operational visibility and incident response.
-   Develop and maintain Helm charts for deployment and lifecycle management of observability components.
-   Implement automation for deployment, configuration management, and operational workflows using Python or Bash scripting.
-   Collaborate with engineering and application teams to define observability standards and integrate monitoring into development workflows.
-   Analyze system performance, identify bottlenecks, and recommend improvements that enhance platform reliability and scalability.
-   Provide technical leadership, architectural guidance, and strategic recommendations for observability initiatives.
-   Support production operations by troubleshooting complex monitoring and infrastructure issues.
-   Contribute to continuous improvement initiatives and drive adoption of observability best practices across engineering teams.

### Requirements

### Must-Have Skills

-   Strong hands-on experience with **OpenTelemetry** for instrumentation and telemetry collection.
-   Expertise in the **Grafana Enterprise Stack**, including **Mimir**, **Loki**, and **Tempo**.
-   Experience administering and scaling **ITRS Geneos** in enterprise environments.
-   Strong knowledge of **Prometheus** and **PromQL**.
-   Hands-on experience with **Grafana**, including dashboard creation, alerting, and data source management.
-   Experience administering **OpenShift** or **Kubernetes** clusters.
-   Expertise in developing and managing **Helm Charts** for Kubernetes deployments.
-   Experience designing, deploying, and scaling enterprise observability platforms.

### Good-to-Have Skills

-   Experience with **Google Cloud Observability** or other cloud-native monitoring solutions.
-   Automation and scripting experience using **Python** or **Bash**.
-   Familiarity with CI/CD pipelines and enterprise deployment processes.
-   Experience implementing observability in cloud-native or microservices-based architectures.

### Preferred Qualifications

-   Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
-   8–15 years of experience in Platform Engineering, Site Reliability Engineering (SRE), DevOps, Infrastructure Engineering, or Observability Engineering.
-   Proven experience implementing observability solutions at enterprise scale.
-   Strong understanding of distributed systems, container platforms, and cloud-native technologies.

### Soft Skills

-   Strong analytical and problem-solving abilities.
-   Strategic thinking with the ability to influence technical direction.
-   Excellent communication and stakeholder management skills.
-   Ability to collaborate effectively across cross-functional teams.
-   Strong leadership, mentoring, and relationship-building capabilities.
-   Service-oriented mindset with a focus on operational excellence.
-   Ability to manage multiple initiatives in a fast-paced environment.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/F82B09B10E/apply)

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