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Senior Software Engineer – L3

Senior Software Engineer – L3

CompanyTwilio
LocationUnited States
Salary$138700 – $203900
TypeFull-Time
Degrees
Experience LevelSenior

Requirements

  • 4+ years of experience writing production-grade backend code in a modern programming language (e.g., Golang, Python, Java, Scala, or similar)
  • Strong fundamentals in distributed systems, event-driven architectures, and database design
  • Experience working with AWS cloud-based infrastructure
  • Well-versed in designing and building high-scale, low-latency services/APIs
  • Solid grasp of Linux systems and networking concepts
  • Strong debugging and troubleshooting skills for complex distributed applications
  • Effective communication skills and ability to collaborate in a fast-paced team environment
  • Comfortable with ambiguity and problem-solving in a rapidly growing company

Responsibilities

  • Design, develop, and maintain backend services that power Twilio Segment’s high scale data platform
  • Build scalable and high-performance APIs and data pipelines to support customer data orchestration
  • Improve the reliability, scalability, and efficiency of Segment’s backend systems
  • Collaborate with cross-functional teams including product, design, and infrastructure to deliver customer-focused solutions
  • Drive best practices in software engineering, including code reviews, testing, and deployment processes
  • Ensure high operational excellence by monitoring, troubleshooting, and maintaining always-on cloud services
  • Contribute to architectural discussions and technical roadmaps that align with Twilio’s CXaaS vision and Segment’s strategic initiatives

Preferred Qualifications

  • Experience working with event streaming technologies (Kafka, SQS, or similar)
  • Experience with database technologies like DynamoDB, PostgreSQL, or Databricks SQL
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes)
  • Background in building multi-tenant SaaS platforms at scale
  • Experience working with observability tools such as Prometheus, Grafana, or Datadog
  • Experience working in a geographically distributed team