Penlink
Observability Engineer
Skills
5 months ago
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Important information
Contract type:
Permanent
Location:
Herzliya, Israel
Work mode:
Onsite
Published on:
21 August 2026
What they need
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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