Engineer designing, developing, and testing nuclear equipment and systems for Navy ships at Newport News Shipbuilding. Collaborating on safety, efficiency, and performance improvements while conducting relevant research and analysis.
About the role
- Lead Observability Engineer shaping observability practices within Kobie's new Tech Hub in India. Collaborate on global projects while enhancing system reliability and performance visibility.
Responsibilities
- Own and evolve the observability platform (e.g., New Relic) to provide end-to-end visibility across applications and infrastructure
- Establish standards for monitoring, alerting, dashboards, and telemetry (logs, metrics, traces)
- Leverage AIOps capabilities to improve anomaly detection, reduce noise, and accelerate root cause analysis
- Drive automation and self-healing workflows to minimize manual intervention and improve system resilience
- Collaborate across teams to ensure systems are observable by design and aligned with reliability goals
- Continuously analyze system behavior and incident patterns to improve performance, scalability, and uptime
Requirements
- 8–10+ years of experience in observability, site reliability engineering (SRE), DevOps, or advanced production operations in large-scale enterprise environments.
- Expert-level hands-on experience implementing and optimizing observability platforms such as New Relic, Datadog, Dynatrace, or Splunk.
- Strong understanding of monitoring fundamentals including logs, metrics, traces, and alerting strategies.
- Experience working with cloud-native architectures (AWS preferred).
- Familiarity with containerized environments and orchestration platforms such as Kubernetes.
- Experience integrating observability practices into CI/CD pipelines to ensure applications are observable by design.
- Strong understanding of incident management, problem management, and change management practices (ITIL concepts).
- Demonstrated ability to analyze telemetry data to identify patterns, detect anomalies, and improve operational reliability.
- Strong leadership and collaboration skills with the ability to coordinate across engineering, DevOps, and operations teams.
- Excellent communication skills and a strong focus on operational excellence and continuous improvement.
- Nice to Have: Experience implementing AI/ML capabilities within observability tools for anomaly detection and predictive monitoring.
- Familiarity with AIOps platforms and automated remediation workflows.
- Experience with event streaming platforms such as Kafka for telemetry ingestion or real-time data processing.
- Basic understanding of application architecture and troubleshooting distributed systems.
- Experience with automation frameworks or serverless workflows (e.g., AWS Lambda, scripting, or infrastructure automation).
Benefits
- Comprehensive health coverage
- Well-being perks
- Flexible time off
- Public holidays recognition
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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