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AI Platform Software Engineer
1 week ago
About the Role
We are seeking a highly skilled DevOps and MLOps Engineer to join our team at Dialpad. In this role, you will be responsible for designing, building, and optimizing the infrastructure, tooling, and workflows that enable engineers and data scientists to efficiently develop, deploy, and scale AI-powered applications.
Your Responsibilities
- Merge your first PR & learn the review process: Make a small contribution, go through the code review process, and get familiar with team coding standards.
- Learn CI/CD workflows & deployment process: Understand how changes move from development to production, including CircleCI, Terraform, and GitOps workflows.
- Test, deploy, and monitor a change in production: Push a minor update, observe logs, metrics, traces and alerts, and ensure smooth rollout.
- Meet the team & key stakeholders: Get to know your immediate team and cross-functional teams (ML engineers, data scientists, platform engineers).
First 3 Months
- Work directly on Dialpad's AI/ML pipelines, Vertex AI and Kubernetes-based dev environments to enhance platform performance.
- Optimize developer workflows, including CI/CD pipelines (CircleCI) and infrastructure (Terraform), to accelerate AI and ML deployments.
- Strengthen observability and debugging (Grafana, Loki, OpenTelemetry) for better insights and faster issue resolution.
- Collaborate with cross-functional teams to identify bottlenecks, ship quick wins, and demonstrate measurable improvements.