Principal Engineer (L5)

See yourself at Twilio

Join the team as our next Principal Engineer (L5), Twilio’s Segment team

About the job

As a Principal Engineer on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP).

Responsibilities

In this role, you’ll:

• Own and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment.
• Architect and operate always-available, complex distributed systems in cloud environments.
• Guide technical decisions, articulating trade-offs between cost, performance, and reliability.
• Translate complex technical strategies into actionable plans for diverse stakeholders, including Product Managers and Architects

Qualifications

Required:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec).
• Excellent abilities in high level service design -- modeling interfaces and internals in a properly modular, composable, and extensible way.
• Expert programming experience in Go or similar object-oriented languages.
• Demonstrated experience identifying, prototyping, and deploying GenAI/LLM solutions to solve real-world engineering or data processing challenges.
• Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture.
• Excellent communication, problem-solving, and operational excellence skills.

Desired:

• Proficiency with datastores, distributed caching, and container technologies (Docker/Kubernetes).
• Experience with modern CI/CD pipelines and observability tools (Datadog, Grafana, Prometheus).
• Familiarity with AI/ML technologies.
• Experience managing and operating AWS infrastructure
• Experience working in a geographically distributed team.