Senior Infrastructure Engineer – Observability

November 7

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Logo of Aircall

Aircall

Telecommunications • SaaS • Enterprise

Aircall is a leading provider of cloud-based call center software, designed to streamline business phone communications for companies of all sizes. With innovative features like AI-powered conversation intelligence, smart call routing, and seamless integration with over 100 applications including major CRMs like Salesforce and HubSpot, Aircall enhances team productivity and customer interaction. The platform supports VoIP technology for virtual call center operations, eliminating the need for hardware and allowing for remote work. Trusted by over 19,000 companies worldwide, Aircall caters to various industries such as education, finance, and healthcare, offering a reliable and scalable solution for modern customer communication needs.

501 - 1000 employees

Founded 2014

📡 Telecommunications

☁️ SaaS

🏢 Enterprise

💰 Venture Round on 2022-02

📋 Description

• Develop comprehensive observability best practices: Define and standardize guidelines for metrics, traces, and logs, ensuring consistent implementation and adoption across all engineering teams. • Collaborate strategically with engineering teams: Partner closely with various engineering teams to enhance overall system reliability and performance. • Automate monitoring setup and provisioning: Drive the automation of monitoring infrastructure through Infrastructure-as-Code. • Improve alerting hygiene and effectiveness: Continuously refine and optimize alerting mechanisms by meticulously tuning thresholds. • Train and empower product teams: Provide comprehensive training and ongoing support to product teams, enabling them to effectively utilize observability tools. • Evaluate and integrate advanced observability tools: Proactively research, evaluate, and integrate new and emerging observability tools and technologies as needed.

🎯 Requirements

• 3-5 years of experience in observability within SRE, DevOps, or platform engineering roles. • Strong hands-on experience with Datadog (dashboards, monitors, synthetics, logs, APM, RUM). • Proficiency with Terraform or other Infrastructure-as-Code tools. • Solid understanding of Kubernetes, microservices, and cloud infrastructure (EKS, Lambda, RDS, S3, AWS networking). • Familiarity with distributed tracing and OpenTelemetry concepts. • Strong scripting skills (Python, Bash, or similar). • Experience defining and managing SLIs/SLOs and service-level observability frameworks. • Excellent collaboration and communication skills; you can work with both engineers and non-technical stakeholders.

🏖️ Benefits

• Competitive salary package & benefits

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