Dialpad
Technology
SoftwareEngineer,Observability
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, Observability at Dialpad. Skills: Observability, Monitoring, Logging, Cloud technologies. Develop and improve instrumentation for monitoring. Develop and improve instrumentation for logging service health”
Industry & Context.
Root cause analysis
On-call rotation
What They're Looking For.
Must Have
Undergraduate degree in Computer Science or Engineering, Experience with Linux, Experience with Kubernetes (including GKE/EKS), Experience with Public Cloud environments (GCP, AWS), Experience with configuration management tools (Ansible, Terraform), Experience in designing, automating, maintaining, and optimizing observability platforms, Background in Systems and/or Software Engineering
Nice to Have
Previous direct experience with Grafana, Loki, Prometheus
What You'll Do.
Develop and improve instrumentation for monitoring
Develop and improve instrumentation for logging service health
Develop and improve instrumentation for logging service availability
Develop and maintain the observability stack
Define best practices for making systems measurable
Define best practices for making services measurable
Work with teams to apply best practices
Create tools for engineering teams
Create libraries for engineering teams
Enable teams to build self-monitoring capabilities
Create internal documentation
Own internal documentation
Stay up-to-date with observability trends
Stay up-to-date with logging trends
Stay up-to-date with monitoring trends
Stay up-to-date with cloud technologies trends
Introduce innovative solutions
Introduce best practices to improve observability
Introduce best practices to improve reliability
Experiment with new tools
Experiment with new practices
Enhance the observability landscape
Collaborate with engineering teams
Integrate observability practices into workflows
Participate in on-call rotation
How You'll Work.
Team & Collaboration
Infrastructure engineers; Different engineering teams
Full Job Description
About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic. Your role As a Software Engineer in Observability, you’ll be responsible for our metrics and log collection platform. You’ll work closely with other Infrastructure engineers to determine resource usage and requirements. You’ll also help create tooling, libraries, and documentation that enable other engineers to instrument their own projects. In addition, you’ll keep our team informed about trends in the broader observability/monitoring industry. This position reports to our Engineering Manager, Observability Platform, and has the opportunity
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