Lead DevOps Engineer

Key Skills & Tools: 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. Job Description: Design & Implement Solutions: Build and maintain comprehensive observability platforms that provide deep insights into complex systems, incorporating logs, metrics, and traces. System