Observability Engineer

Atlas Technologies•North Charleston, SC

6d•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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