Twilio is a company focused on shaping the future of communications and empowering businesses with innovative solutions. The role of Backend Software Engineer on the Segment CDP engineering team involves designing and building robust backend systems and APIs, collaborating with cross-functional teams, and improving system reliability to enhance customer experiences.
Responsibilities:
- Design and build robust, scalable backend systems and APIs across Segment’s data platform
- Collaborate cross-functionally with design, product, and other engineers to define solutions that balance usability, performance, and long-term architecture
- Communicate technical decisions clearly - articulating trade-offs, customer impact, and team alignment
- Troubleshoot and improve system reliability, debugging issues and refining operational tooling and processes
- Participate in an on-call rotation for our managed services
Requirements:
- 2+ years experience writing production-grade code in a modern programming language
- Experience programming in one or more of the following: Go, Java, Python, or similar languages
- Experience operating large-scale, distributed systems on top of cloud infrastructure such as Amazon Web Services (AWS)
- Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS)
- Have experience with large scale async processing systems
- Experience shipping services (products) following CI/CD development paradigm
- Good grasp of software engineering and how to build a system in scalable and extensive manner
- 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'
- Leverage best-in-class development productivity practices including AI tooling
- Experience working with event streaming technologies (Kafka, Pulsar, or similar)
- Familiarity with database technologies like PostgreSQL and DynamoDB
- Exposure to observability tools such as Prometheus, Grafana, or Datadog
- Experience working in a geographically distributed team