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.

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.