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
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*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.