Note: The job is a remote job and is open to candidates in USA. Data Nexus AI is seeking a Site Reliability Engineer to join its SRE team and build, scale, and standardize an observability framework. The role focuses on OpenTelemetry-based telemetry pipelines, monitoring, distributed tracing, incident response, reliability measurement, automation, and collaboration with development and operations teams.
Responsibilities
- Design, implement, and maintain observability solutions using OpenTelemetry, Prometheus, Grafana, AppDynamics, and Splunk
- Build and manage telemetry pipelines (metrics, logs, traces) ensuring reliable data collection, transformation, and export
- Lead initiatives to improve incident detection, response, and post-incident analysis with a strong emphasis on RCA (Root Cause Analysis)
- Define and maintain SLIs, SLOs, and error budgets to measure and improve system reliability
- Partner with development and operations teams to instrument applications and services for better monitoring and tracing coverage
- Develop dashboards, alerts, and visualizations to provide actionable insights into system health and performance
- Contribute to automation and self-healing practices that improve uptime and reduce operational toil
- Stay current with trends in observability and advocate best practices across the engineering organization
Skills
- 7+ years of SRE/ Devops/ Cloud/ Infrastructure engineering experience with a focus on monitoring and observability
- Strong communication skills with the ability to articulate technical requirements and explain benefits of observability clearly to development teams
- Experience working in an area that requires strong business knowledge and the ability to pull together business parters and development teams to perform RCA across distributed systems
- Experience implementing an Observability Framework at an organization
- Hands-on experience with OpenTelemetry SDKs, collectors, and exporters
- Proficiency with observability stacks such as Prometheus, Grafana, Loki, Tempo, Elastic Stack, or Splunk Observability (Splunk/AppDynamics)
- Strong knowledge on cloud platforms (GCP, or Azure)
- Hand-on experience on container orchestration using Kubernetes (OCP, GKE, AKS)
- Familiarity with CI/CD pipelines like (Jenkins and Github actions), infrastructure as code (Terraform/Ansible/ARM/CloudFormation)
- Experience provisioning infrastructure and capacity planning
- Hands-on skills in programming languages like Java, and Python
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