DevOps Engineer

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:

• 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.

Core Responsibilities:

• 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.

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.

There will be 1 round of interviews 1 hour tech panel w/ no coding challenge