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Remote role and mid-level seniority increase competition despite niche platform specialization.
Requires telecom, real-time, and enterprise-security experience, making cross-industry transferability limited.
Multiple mandatory filters: 5+ years, Kubernetes in production, real-time systems, observability, and incident response.
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Own and continuously improve the AI agent platform runtime, voice infrastructure, enterprise security capabilities, and evaluation & observability layers used by all clients.
Drive architecture decisions end-to-end from design through production, including incident response and postmortems.
Ensure platform reliability, scalability, security, and compliance in a regulated environment handling real-time customer conversations.
5+ years of experience building and operating backend production systems with distributed systems fundamentals.
Proven hands-on experience running Kubernetes in production, infrastructure as code, and cloud platforms.
Strong knowledge of real-time systems including latency, streaming audio, backpressure, and live call handling.
Degree in computer science or related field, or equivalent professional experience.
Experienced in building enterprise-grade security and compliance features such as RBAC, SSO, audit logging, and data isolation.
Skilled in observability and incident response with proven ability to analyze and reduce system failures.
Comfortable working autonomously in small teams, owning platform-wide components impacting multiple clients simultaneously.