DevOps engineer

MM InternationalRichmond, VA, United States

12 hours ago

Job type

Full-time

Quick Apply

Job description

Role : DevOps engineer

Location : Richmond , VA - Hybrid

Duration : 12+ months

Need more of SRE background, good with python scripting, AWS and Datadog and worked towards production support or incident support mandatory skills. Ex capital one is mandate.

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.

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Engineer • Richmond, VA, United States

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