Staff Voice AI Engineer – SRE/DevOps

Qualifications

• 4+ years of experience operating highly available distributed cloud-native workloads running on container platforms (e.g. Kubernetes)
• 2+ years of experience building and operating Voice AI applications is a strong asset
• 4+ years of development experience with Python, GoLang, Java or similar languages.
• Experience integrating applications on top of LLMs (Prompt Engineering Agents and Skills);
• Working experience building distributed systems with cloud-native software;
• Experience with software-defined networking, infrastructure as code and configuration management;
• Experience with DevOps tooling (e.g. Helm / Ansible / Kubernetes / Prometheus /Splunk/ GitLab CI) is considered an asset
• Critically thinking around AI integrations for work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Experience building with AI tools such as Claude Code, Cursor, Windsurf.