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.