Observability Data Engineer

Atlas
North Charleston, SC, United States
20 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Agile Methodology Application Packaging Microsoft Azure Bash Shell Configuration Management Information Systems Computer Programming Continuous Integration Information Engineering Data Infrastructure DevOps
+36 more
Distributed Systems Data Flow Control Python (Programming Language) Network Troubleshooting Automation of Marketing Nginx Open Source Technology Windows PowerShell Scrum Methodology Ansible Swagger Reverse Proxy Data Logging Scripting Computer Networking Systems Load Balancing Data Ingestion Grafana Documentation System Containerization Gitlab-ci Kubernetes Information Technology Deployment Automation Data Management Api Design Puppet Terraform Splunk Software Version Control Data Pipelines Dynatrace Serverless Computing Docker Golang Microservices

Job description

Looking for a career where hard work is valued, and your ideas and feedback are part of the way we operate daily? Want to bring your skills to a company that encourages teamwork and champions continued education and process improvement?, Atlas Tech, a veteran-owned IT company serving multiple DoD customers in support of America’s warfighters, is looking for a Data Engineer - Observability 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

Requirements

Team Player, Process Improvement, Telemetry, United States Department of Defense (DoD), Information Technology & Information Systems, Metrics, Data Management, Reporting Dashboards, Splunk, Distributed Computing, * 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
  • US Citizenship
  • Currently possess and maintain a Department of Defense (DoD) Secret Level Security Clearance

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

About the company

From day 1, I knew Atlas Tech was where I wanted to be. Atlas culture embraces creativeness, community involvement, and taking care of their employees. If youre looking for a great place to work, come join us! - Blane

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