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Secret Observability Engineer

Insight Global

North Charleston, SC · HybridJob$120–140K/yrSeen 1 day agoSeen in employer's feed 1 day ago

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At a glance

Compensation
$120–140K/yr
Location
North Charleston, SCHybrid
Work Authorization
Not specified

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Job overview

Insight Global seeks a Secret Observability Engineer to design, build, and maintain telemetry, logging, and tracing systems for complex data pipelines supporting a federal program, working in a hybrid role based in Charleston, SC, and collaborating across engineering teams to improve technology readiness and capabilities.

Skills & qualifications

RequiredNice to have

Skills

KubernetesGrafanaELK StackPrometheusDockerHelmNginxAgile MethodologyDevOps PracticesDocumentationCommunicationCollaborationProblem SolvingAttention to DetailProject ManagementGitLab CIAzure DevOpsVersion ControlAnsibleChefPuppetTerraformJavaPythonPowerShellBashGoSwaggerMicroservices ArchitectureServerless Computing

Qualifications

Secret Security Clearance or Ability to Be Processed for OneBachelor's Degree Preferred or Equivalent ExperienceBachelor's Degree in Computer Science or Related Field

Full job description

Job Description

Insight Global is hiring for a Observability Engineer with skills in Kubernetes and monitoring tools such as Grafana, ELK Stack, and/or Prometheus to assess the health and performance of complex data pipelines supporting a federal program. This position is based in Charleston, SC and is a hybrid role where you will get to directly impact the technology readiness and capabilities for the client. If you have experience in designing, building and maintaining telemetry, logging, and tracing systems, this role will be a great next step. Responsibilities include:

  • Implement monitoring, logging, metrics, tracing, and alerting for data platforms and pipelines
  • Develop dashboards, alerts, service objectives, and reporting
  • Integrate data platform telemetry with observability tools such as Grafana, Elastic, Splunk, or Dynatrace
  • Monitor data platform health, throughput, latency, failures, storage utilization, and service availability
  • Troubleshoot complex data-flow, application, infrastructure, and network issues across distributed systems
  • Design, build, test, and maintain reliable batch and real-time data pipelines
  • Containerize observability services and supporting applications using Docker
  • Deploy and operate data workloads using Kubernetes
  • Develop and maintain configuration for ingress, reverse proxy, load balancing, and service routing components
  • Automate platform deployment, configuration, testing, and operational procedures
  • Develop data ingestion, transformation, enrichment, routing and delivery workflows
  • Provide recommendations for observability best practices and process improvements
  • Participate in architecture reviews, peer reviews, sprint planning, and technical design discussions
  • Contribute to team objectives and support data engineering initiatives
  • Prepare technical documentation and present architecture proposals to engineering teams
  • Partner with other engineering groups to understand their data requirements and with leadership to align technical infrastructure with mission objectives The compensation for this role varies depending on experience from $120,000 to $140,000 per year.

Skills and Requirements

  • Secret Security Clearance or the ability to be processed for one
  • 3-5 years' experience with observability technologies
  • Experience with open-source monitoring and observability architectures such as Grafana LGTM+ Stack or Elastic (ELK) Stack
  • Experience with containerization technologies (Docker, Kubernetes)
  • Experience with Kubernetes application packaging and deployment tools (Helm)
  • Experience with high-performance, open-source networking infrastructure tools such as Nginx
  • Working knowledge of Agile methodology and DevOps practices
  • Strong documentation and communication skills to work effectively across technical teams
  • Collaborative mindset with ability to work in fast-paced environments
  • Self-motivated with strong problem-solving skills and attention to detail
  • Ability to manage multiple projects and priorities simultaneously
  • Bachelor's degree preferred or equivalent experience
  • Bachelor's degree in Computer Science or related field
  • 5+ years' experience in data engineering roles
  • Experience with CI/CD tools (GitLab CI, Azure DevOps)
  • Proficiency with version control systems and collaborative development tools
  • Experience with configuration management and automation platforms (Ansible, Chef, Puppet, Terraform)
  • Programming/scripting experience (JAVA, Python, PowerShell, Bash, Go)
  • Experience with api design and documentation tools such as Swagger
  • Knowledge of microservices architecture and serverless computing

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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