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Observability Engineer

icon building Company : Penlink
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Job Description - Observability Engineer

About us

Penlink is a global leader in digital intelligence solutions. Our advanced technologies simplify complex data, empowering public safety organizations to make informed decisions quickly and effectively. We believe in the power of data-driven intelligence to accelerate clarity in decision-making for global security, strategic operations, and the most critical missions. Headquartered in the US with offices worldwide.

About the Role

We are looking for a skilled DevOps Engineer with strong expertise in observability, monitoring, and cloud-native deployments. The ideal candidate is passionate about system reliability, performance optimization, and building scalable infrastructure across modern cloud platforms. 

Key Responsibilities: 

  • Design, implement, and maintain observability solutions using tools such as Datadog, Grafana, and the Elastic Stack (ELK) 
  • Build and optimize monitoring, alerting, and logging pipelines to ensure high system reliability and fast incident response 
  • Develop dashboards and metrics that provide deep visibility into system performance and business KPIs  
  • Ensure best practices in cloud architecture, including security, scalability, and cost optimization 
  • Troubleshoot production issues and implement proactive solutions to prevent recurrence 
  • At least +3 years with hands-on experience with observability and monitoring tools (Datadog, Grafana, Elastic/ELK) 
  • Strong understanding of logging, metrics, tracing, and alerting concepts 
  • Proven experience with AWS and Azure cloud platforms 
  • Solid understanding of containerization and orchestration (Docker, Kubernetes is a plus) 
  • Strong problem-solving skills and a proactive mindset toward system reliability 
  • Experience with distributed systems and microservices architecture 
  • Scripting skills (Python, Bash, etc.) 

Advantage:

  • Familiarity with CI/CD pipelines and DevOps best practices 
  • Familiarity with Infrastructure as Code and automation tools 
  • Knowledge of SRE principles (SLIs, SLOs, error budgets) 
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