What are the responsibilities and job description for the DevOps Engineer - Lead in Plano, TX (Hybrid)- Local :: Contract :: USC & GC Only position at JS Consulting?
Job Title: DevOps Engineer - Lead
Location: Plano, TX (Hybrid 3X)- Locals
Duration: 12 Months (Contract)
Interview mode: Video Interview
Visa: USC & GC Only
Job Description
Need Locals
Must have Banking domain Experience
Ex-Capone Will Be Highly Preferred Not Must Have
Top skills Datadog, AWS, Python
Key Responsibilities
Location: Plano, TX (Hybrid 3X)- Locals
Duration: 12 Months (Contract)
Interview mode: Video Interview
Visa: USC & GC Only
Job Description
Need Locals
Must have Banking domain Experience
Ex-Capone Will Be Highly Preferred Not Must Have
Top skills Datadog, AWS, Python
Key Responsibilities
- Implement and manage full-stack observability using Datadog, ensuring seamless monitoring across infrastructure, applications, and services.
- Instrument agents for on-premises, 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.
- 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.
- 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.
