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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).
Job Responsibility
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
Requirements
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.
Nice to have
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.