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Penlink Linkedin · Posted 3mo ago

Observability Engineer

Herzliya

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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 Observability Engineer with strong expertise in 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

Requirements:

  • 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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