DevOps engineerMM International • Richmond, Virginia, USA

DevOps engineer

MM International • Richmond, Virginia, USA

16 days ago

Job type

Full-time

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.

Key Skills

ASP.NET,Health Education,Fashion Designing,Fiber,Investigation

Employment Type : Full Time

Experience : years

Vacancy : 1

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Engineer • Richmond, Virginia, USA

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