Staff, Software Engineer (L4)

Overview

Staff Software Engineer (L4) on Twilio's Segment Data Pipelines team, building and scaling systems that process hundreds of thousands of data points per second for the customer data platform (CDP).

What you'll do

• Design and deliver robust, high-scale routing experiences for the Data platform/pipelines team for Twilio Segment.
• Ship features that opt for high availability and throughput with eventual consistency.
• Collaborate with engineering and product leads, as well as teams across Twilio Segment.
• Support the reliability and security of the platform.
• Build and optimize globally available and highly scalable distributed systems.
• Act as a Tech Lead as needed.
• Mentor other engineers on the team in technical architecture and design.
• Partner with application teams to deliver end-to-end customer success.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Hands-on experience with high-scale messaging/streaming systems (several thousand events/sec) and processing engines (1M+ events/sec).
• 8+ years of experience writing production-grade code in a modern programming language.
• Strong theoretical fundamentals and hands-on experience designing and implementing highly available and performant fault-tolerant distributed systems.
• Experience programming in one or more of the following: Go, Java, Scala, or similar languages.
• Well-versed in concurrent programming, with a solid grasp of Linux systems and networking concepts.
• Experience operating large-scale, distributed systems on top of cloud infrastructure such as AWS or Google Cloud Platform (GCP).
• Experience in message passing systems (e.g., Kafka, AWS Kinesis) and/or modern stream processing systems (e.g., Spark, Flink).
• Hands-on experience with container orchestration frameworks (e.g., Kubernetes, EKS, ECS).
• Leverage best-in-class development productivity practices including AI tooling.
• Experience shipping services (products) following CI/CD development paradigm.
• Deep understanding of architectural patterns of high-scale web applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).

Nice to have

• Ideally domain expertise in the Modern Data stack with experience in developing cloud-based data solution components and architecture covering data ingestion, data processing and data storage.
• Track record of successfully leading teams, large projects, or owning and building an important, complex system end to end, delivered iteratively.
• Excellent written and verbal technical communication skills to convey complex technical concepts effectively.
• Comfortable asking questions and taking initiative to solve problems where it is often necessary to "draw the owl."

Details

• Remote-first role; based in any of the permitted 5 India states (Delhi, Karnataka, Maharashtra, Telangana and Tamil Nadu).
• May be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
• May be required to travel occasionally for project or team in-person meetings.