Staff Software Engineer (L4)

Who We Are

At Twilio, we are revolutionizing the future of communications from anywhere in the world. We provide innovative solutions to hundreds of thousands of businesses and empower millions of developers globally to create personalized customer experiences. Our remote-first approach fosters a strong culture of connection, global inclusion, and continuous learning, ensuring that our diverse team makes a significant global impact daily. We leverage Artificial Intelligence (AI) to enhance our hiring process, but all hiring decisions are made by our talented team members.

See Yourself at Twilio

Join us as a Staff Engineer (L4) on the Twilio Segment team and contribute to building the next generation of communication solutions.

About the Job

As a Staff Engineer on the Twilio Segment Data platform/pipelines team, you will play a critical role in building and scaling systems that process hundreds of thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems, design, operate, and maintain 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 will:

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

Qualifications

Twilio values diverse experiences from all industries and encourages all qualified candidates to apply. We believe in the unique perspectives individuals bring, regardless of their career path.

Required:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Hands-on experience with high-scale messaging/streaming systems (handling thousands of 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 practical experience in designing and implementing highly available, performant, and fault-tolerant distributed systems.
• Proficiency in programming languages such as Go, Java, Scala, or similar.
• Well-versed in concurrent programming, with a solid understanding of Linux systems and networking concepts.
• Experience operating large-scale, distributed systems on cloud infrastructure like Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Experience with 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).
• Proficiency in leveraging best-in-class development productivity practices, including AI tooling.
• Experience shipping services (products) using the CI/CD development paradigm.
• Deep understanding of architectural patterns for high-scale web applications (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms).
• Ideally, domain expertise in the Modern Data stack, with experience developing cloud-based data solution components and architectures covering data ingestion, processing, and storage.
• A proven track record of successfully leading teams, large projects, or owning and building complex systems end-to-end through iterative delivery.
• Excellent written and verbal technical communication skills for conveying complex technical concepts effectively.

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.

Location

This role is remote and based in India (specifically in Karnataka, Tamil Nadu, Maharashtra, Telangana, or Delhi).

Travel

Occasional travel may be required for project or team in-person meetings to foster connection and build relationships.

What We Offer

Twilio provides a comprehensive benefits package including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and more (offerings vary by location).