
Principal Engineer – L5
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in India.
• Take ownership of the technical vision for creating robust and highly composable routing experiences within Twilio Segment’s core Data platform and pipelines.
• Design and lead the development of always-available, fault-tolerant distributed systems in cloud environments.
• Guide critical design choices and communicate trade-offs related to cost, performance, and reliability to both engineers and executives.
• Convert intricate technical strategies into actionable plans for Product Managers, Architects, and engineering teams.
• Experiment with and prototype emerging AI technologies and large language models (LLMs) to address systemic data-processing challenges.
• Occasionally travel for project or team meetings that require in-person attendance as necessary.
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
• Over 12 years of programming experience.
• Extensive experience with high-scale messaging/streaming systems and distributed processing engines capable of handling thousands of events per second at minimum.
• Mastery in high-level service design, with the ability to model complex interfaces and internals in a modular, composable, and extensible manner.
• Expert programming skills in Go or comparable concurrent, object-oriented languages.
• Practical experience in identifying, prototyping, and deploying Generative AI (GenAI) and LLM solutions for real-world engineering or data processing challenges.
• Technical expertise in distributed systems, high-scale data ingestion, and cloud-native architecture.
• Advanced proficiency with high-throughput datastores, distributed caching layers, and Docker/Kubernetes.
• Experience with contemporary CI/CD pipelines and observability frameworks such as Datadog, Grafana, and Prometheus.
• Familiarity with AI/ML infrastructure and data workflows.
• Hands-on experience in managing, optimizing, and operating large-scale AWS cloud infrastructure.
• Strong communication, problem-solving, mentoring, and operational excellence skills.
• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• Retirement savings program
• Volunteering and donation support
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