Principal Engineer

The core responsibilities for the job include the following:

Technical Vision:

• Define long-term architecture for core platform services.
• Drive technology strategy across multiple engineering organizations.
• Evaluate build vs. buy decisions and platform investments.
• Create engineering standards adopted company-wide.

Architecture Leadership:

• Design highly scalable, resilient, distributed systems.
• Lead modernization of legacy platforms.
• Establish patterns for APIs, event-driven systems, observability, and reliability.
• Guide architecture reviews across multiple teams.

Platform Ownership:

• Lead one or more strategic technical areas, including: AI Voice Platform: real-time conversational AI infrastructure.
• Streaming ASR LLM and TTS pipelines. Voice agent orchestration. AI evaluation frameworks.
• Latency optimization, Integrations Platform Connector framework, SDK architecture, Eventing infrastructure, Webhook reliability, API versioning, and Platform observability.
• Core Platform Modernization: Monolith decomposition, service migration strategies, database optimization, platform scalability, reliability engineering, and CI/CD modernization.

Engineering Leadership:

• Mentor Staff and Senior Engineers. Drive technical decision-making across organizations.
• Lead multi-quarter engineering initiatives. Improve engineering culture and technical quality. Influence hiring and technical growth.

Requirements:

• 12+ years of software engineering experience.
• Demonstrated experience architecting large-scale production systems.
• Deep expertise in distributed systems.
• Strong background in platform engineering.
• Experience modernizing legacy applications.
• Exceptional system design skills.
• Proven ability to influence engineering organizations.
• Strong communication and technical leadership.
• Proven experience building systems at scale.
• Ability to simplify highly complex technical problems.
• Strong architectural judgment and decision-making.
• Experience leading organization-wide engineering initiatives.
• Excellent mentoring and technical leadership.
• Ownership mindset with a focus on long-term platform health.
• Passion for building highly scalable SaaS products.

Preferred Expertise:

• AI and Machine Learning LLM orchestration Tool calling RAG AI evaluation voice AI low-latency inference Distributed Systems Event-driven Architecture Queueing Idempotency Fault Tolerance Service discovery horizontal scalability platform Engineering API platforms SDKs Integration frameworks, developer platforms, and observability Internal tooling infrastructure Cloud-native architecture Kubernetes monitoring performance engineering CI/CD security.