Lead DevOps Engineer
About The Position
We are seeking a Lead DevOps Engineer with a strong background in system operations and software development to design, implement, and maintain comprehensive observability platforms. This role involves instrumenting applications and infrastructure, analyzing and visualizing system performance data, and automating monitoring configurations. You will collaborate with development, SRE, and DevOps teams to integrate observability best practices and ensure alignment with business and operational goals. A key focus will be on implementing and managing full-stack observability using Datadog, including agent instrumentation, service monitoring, and integration with third-party tools like ServiceNow.
Requirements
- Proficiency in monitoring, logging, and tracing tools, including Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Splunk, Datadog, New Relic, and cloud-native solutions like AWS CloudWatch.
- Expertise in languages such as Python and Go for scripting and automation.
- Experience with cloud platforms (AWS, GCP, Azure) and container orchestration systems like Kubernetes.
- Familiarity with Terraform and Ansible for managing infrastructure and configurations.
- Experience with CI/CD pipelines and automation tools like Jenkins.
- A strong background in both system operations and software development.
- Datadog Fundamental, APM and Distributed Tracing Fundamentals & Datadog Demo Certification (Mandatory)
- Strong understanding of Observability concepts (Logs, Metrics, Tracing)
- Expertise in security & vulnerability management in observability
- 2 years of experience in cloud-based observability solutions, specializing in monitoring, logging, and tracing across AWS, Azure, and GCP environments.
Nice To Haves
- Cloud certifications being a plus.
Responsibilities
- Build and maintain comprehensive observability platforms that provide deep insights into complex systems, incorporating logs, metrics, and traces.
- Instrument applications, infrastructure, and services to collect telemetry data using frameworks like OpenTelemetry.
- Develop dashboards, reports, and alerts using tools like Prometheus, Grafana, and Splunk to visualize system performance and detect issues.
- Work with development, SRE, and DevOps teams to integrate observability best practices and align monitoring with business and operational goals.
- Develop scripts and use Infrastructure as Code (IaC) tools like Ansible and Terraform to automate monitoring configurations and telemetry collection.
- Implement and manage full-stack observability using Datadog, ensuring seamless monitoring across infrastructure, applications, and services.
- Instrument agents for on-premise, cloud, and hybrid environments to enable comprehensive monitoring.
- Design and deploy key service monitoring, including dashboards, monitor creation, SLA/SLO definitions, and anomaly detection with alert notifications.
- Configure and integrate Datadog with third-party services such as ServiceNow, SSO enablement, and other ITSM tools.
- Optimize cloud agent instrumentation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
