Devops Engineer

Richmond, VA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Hybrid 3 days onsite a week

Location: Richmond VA

This contractor does need to report to the office on a Hybrid model and we are currently ONLY considering the Richmond location. Capital Ones current hybrid model requires 3 in person days per week with Monday- Thursday being optional in person days and Friday being a dedicated work from home day.

This person is needed in order to create dashboards in DataDog to measure customer impact and severity for Discover applications.

Key Responsibilities:

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.

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.

Hybrid 3 days onsite a week Location: Richmond VA This contractor does need to report to the office on a Hybrid model and we are currently ONLY considering the Richmond location. Capital Ones current hybrid model requires 3 in person days per week with Monday- Thursday being optional in person d...

Hybrid 3 days onsite a week

Location: Richmond VA

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.

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.