ASCENDING LLC
Senior DevOps Observability Engineer
Long term contract - 2+ years 100% remote in the continental US Job Description:
Our client's Enterprise Monitoring team is looking for a senior Level Observability engineer. The team is responsible for enterprise infrastructure, application, and network monitoring for on-prem, hybrid, and various Clouds. The selected candidate will join a team of skilled engineers with a broad background in enterprise monitoring and Observability. Your Impact:
As an Observability Engineer, this role focuses on maintaining the reliability, scalability, and availability of our Log management solution as well as our Metrics and Observability platform. The role heavily involves automation (Terraform, Ansible, scripts), maintaining performance KPIs, and defining SLOs. Responsibilities:
Maintain and deploy monitoring and alerting systems. Design, configure, and maintain large-scale log aggregation solutions. Set up and manage ingestion pipelines and data transformations. Automate tasks wherever possible. Build and maintain monitoring systems using tools like ELK, Dynatrace, Prometheus, OTEL, and Grafana to detect issues early and trigger alerts. Maintain documentation related to audit and certification requirements. Participate in troubleshooting, capacity planning, and performance analysis. Research new monitoring requirements and develop code to meet them. Set up monitoring policies, rules, templates, and write scripts to fulfill monitoring needs. What you need to succeed:
BS/MS in CS/engineering or equivalent, or 5+ years of experience. 3+ years of experience with monitoring tools as an Admin, SME, or Architect, preferably with Dynatrace and/or ELK. Hands-on experience designing data pipelines with Filebeat, Logstash, and/or Fluentbit/Fluentd. Expertise in Dynatrace (managed, cloud, offline) or Elastic (on-prem and cloud), with best practices. Proficiency in scripting languages like Python, Bash, or PowerShell for automation. Experience with Terraform and Ansible, managing complex configurations across multiple clouds. Strong Linux OS knowledge. Highly self-motivated and proactive. Good analytical, troubleshooting, and problem-solving skills. Helpful Skills:
Knowledge of SNMP, TCP dump, and tracing. Familiarity with AIOPS platforms. Additional scripting experience (JavaScript, Java, PowerShell, etc.).
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Long term contract - 2+ years 100% remote in the continental US Job Description:
Our client's Enterprise Monitoring team is looking for a senior Level Observability engineer. The team is responsible for enterprise infrastructure, application, and network monitoring for on-prem, hybrid, and various Clouds. The selected candidate will join a team of skilled engineers with a broad background in enterprise monitoring and Observability. Your Impact:
As an Observability Engineer, this role focuses on maintaining the reliability, scalability, and availability of our Log management solution as well as our Metrics and Observability platform. The role heavily involves automation (Terraform, Ansible, scripts), maintaining performance KPIs, and defining SLOs. Responsibilities:
Maintain and deploy monitoring and alerting systems. Design, configure, and maintain large-scale log aggregation solutions. Set up and manage ingestion pipelines and data transformations. Automate tasks wherever possible. Build and maintain monitoring systems using tools like ELK, Dynatrace, Prometheus, OTEL, and Grafana to detect issues early and trigger alerts. Maintain documentation related to audit and certification requirements. Participate in troubleshooting, capacity planning, and performance analysis. Research new monitoring requirements and develop code to meet them. Set up monitoring policies, rules, templates, and write scripts to fulfill monitoring needs. What you need to succeed:
BS/MS in CS/engineering or equivalent, or 5+ years of experience. 3+ years of experience with monitoring tools as an Admin, SME, or Architect, preferably with Dynatrace and/or ELK. Hands-on experience designing data pipelines with Filebeat, Logstash, and/or Fluentbit/Fluentd. Expertise in Dynatrace (managed, cloud, offline) or Elastic (on-prem and cloud), with best practices. Proficiency in scripting languages like Python, Bash, or PowerShell for automation. Experience with Terraform and Ansible, managing complex configurations across multiple clouds. Strong Linux OS knowledge. Highly self-motivated and proactive. Good analytical, troubleshooting, and problem-solving skills. Helpful Skills:
Knowledge of SNMP, TCP dump, and tracing. Familiarity with AIOPS platforms. Additional scripting experience (JavaScript, Java, PowerShell, etc.).
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