Observability Engineer

Atlas Tech

$95K — $115K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years' experience with observability technologies
  • Familiarity with open-source monitoring tools (Grafana, ELK Stack)
  • Experience with containerization technologies (Docker, Kubernetes)
  • Experience with Helm for Kubernetes deployments
  • Proficient in high-performance networking tools like Nginx
  • Good understanding of Agile methodologies and DevOps practices
  • Strong documentation, communication, and teamwork skills

Responsibilities

  • Implement monitoring, logging, metrics, tracing, and alerting for data platforms
  • Develop dashboards, alerts, and reporting
  • Integrate telemetry with observability tools like Grafana and Splunk
  • Monitor health, latency, and service availability of data platforms
  • Troubleshoot complex issues across distributed systems
  • Design and maintain reliable data pipelines
  • Automate deployment and operational procedures

Benefits

  • Competitive salary
  • Generous benefits package
  • Opportunity to impact the community
Full Job Description
Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America's warfighters, is looking for an Observability Engineer in the Charleston, SC Area to support data engineering efforts for PMW160 Tactical Networks . The engineer will be responsible for designing, building and maintaining the telemetry, logging, and tracing systems. If you are comfortable in intense fast paced environments, can think on your feet, and excel in team-based collaborative efforts, then this may be the right fit for you.

You Will:
  • 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

You Have:
  • 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

We'd be Impressed if You Had:
  • 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

Atlas Tech offers a competitive salary, generous benefits package, and an opportunity to make a positive impact in your own community.

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