Principal Engineer – L5

🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Twilio

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🔌 API

🤝 B2B

API • B2B

Twilio is a leading provider of cloud communications services that enables developers to build innovative communication solutions. Founded in 2008, Twilio has democratized access to communication channels such as voice, text, chat, video, and email through easy-to-use APIs. With headquarters in San Francisco and a global presence, Twilio empowers organizations of all sizes to engage effectively with their customers by integrating these communication capabilities into their applications.

📋 Description

• Own the technical north star for robust, highly composable routing experiences across Twilio Segment’s core Data platform and pipelines • Design and pioneer always-available, fault-tolerant distributed systems in cloud environments • Guide high-stakes design decisions and articulate trade-offs between cost, performance, and reliability to engineers and executives • Translate complex technical strategies into actionable blueprints for Product Managers, Architects, and engineering teams • Prototype and experiment with emerging AI technologies and LLMs to solve systemic data-processing challenges • Travel occasionally for project or team in-person meetings as required

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field • 12+ years of programming experience • Deep battle-tested experience with high-scale messaging/streaming systems and distributed processing engines handling several thousand events/sec minimum • Mastery of high-level service design and ability to model complex interfaces and internals in a modular, composable, and extensible way • Expert programming experience in Go or similar concurrent, object-oriented languages • Hands-on experience identifying, prototyping, and deploying GenAI/LLM solutions for real-world engineering or data processing challenges • Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture • Advanced proficiency with high-throughput datastores, distributed caching layers, and Docker/Kubernetes • Experience with modern CI/CD pipelines and observability frameworks such as Datadog, Grafana, and Prometheus • Familiarity with AI/ML infrastructure and data workflows • Hands-on experience managing, optimizing, and operating large-scale AWS cloud infrastructure • Strong communication, problem-solving, mentoring, and operational excellence skills

🏖️ Benefits

• Competitive pay • Generous time off • Ample parental and wellness leave • Healthcare • Retirement savings program • Volunteering and donation support

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