This role is for one of our clients
Company Name: TalentBridge
Seniority level: Mid-Senior level
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.
- 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.
- 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.
- 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.
- 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.
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
