Lead DevOps Engineer

• Observability Tools: 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.
• Programming Languages: Expertise in languages such as Python and Go for scripting and automation.
• Infrastructure & Cloud Platforms: Experience with cloud platforms (AWS, GCP, Azure) and container orchestration systems like Kubernetes.
• Infrastructure as Code (IaC): Familiarity with Terraform and Ansible for managing infrastructure and configurations.
• CI/CD & Automation: Experience with CI/CD pipelines and automation tools like Jenkins.
• System & Software Engineering: A strong background in both system operations and software development.
• Optimize cloud agent instrumentation, with cloud certifications being a plus.
• 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
• Possesses 2 years of experience in cloud-based observability solutions, specializing in monitoring, logging, and tracing across AWS, Azure, and GCP environments.

• Design & Implement Solutions: Build and maintain comprehensive observability platforms that provide deep insights into complex systems, incorporating logs, metrics, and traces.
• System Instrumentation: Instrument applications, infrastructure, and services to collect telemetry data using frameworks like OpenTelemetry.
• Data Analysis & Visualization: Develop dashboards, reports, and alerts using tools like Prometheus, Grafana, and Splunk to visualize system performance and detect issues.
• Collaboration: Work with development, SRE, and DevOps teams to integrate observability best practices and align monitoring with business and operational goals.
• Automation: 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.

Originally posted on Himalayas