DevOps engineerMM International • Richmond, Virginia, USA
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DevOps engineer
MM International • Richmond, Virginia, USA
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]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.
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 :
Key Skills & Tools :
Key Skills
ASP.NET,Health Education,Fashion Designing,Fiber,Investigation
Employment Type : Full Time
Experience : years
Vacancy : 1
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