Software Engineer, Observability

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 to be based in our Bangalore, India office. What you’ll do Develop and improve instrumentation for monitoring and logging the health and availability of services. Develop and maintain the observability stack within Dialpad engineering. Define best practices and standards around making systems and services measurable, and work with various teams to get those best practices applied. Create tools and libraries for other engineering teams to enable them to build self-monitoring capabilities. Create and own internal documentation used by the other engineering teams. Stay up-to-date with the latest trends in observability, logging, monitoring, and cloud technologies. Introduce innovative solutions and best practices to improve system observability and reliability. Experiment with new tools and practices to enhance the observability landscape. Collaborate with different engineering teams to integrate observability practices into their workflows. Participate in a rotating on-call within the larger Infrastructure Engineering division. Skills you’ll bring 5 years plus Background in both Systems and/or Software Engineering. Experience in designing, automating, maintaining, and optimizing observability platforms (logging, metrics, and tracing). Experience with configuration management tools such as Ansible, Terraform, etc. Experience with Public Cloud environments such as GCP, AWS, etc. Familiarity with languages such as Python, Go, Rust, etc. Previous direct experience with Grafana, Loki, Prometheus. Experience with Linux. Experience with Kubernetes (including GKE/EKS) and building containerized applications. Undergraduate degree in Computer Science or Engineering. Why Join Dialpad Work at the center of the AI transformation in business communications Build and ship agentic AI products that are redefining how companies operate Join a team where AI amplifies every employee’s impact Competitive salary, comprehensive benefits, and real opportunities for growth We believe in inv