Key skills
GoJavaPythonDistributed systemsAmazon Web ServicesKubernetesEKSECSAsynchronous processingCI/CDKafkaPulsarPostgreSQLDynamoDBPrometheusGrafanaDatadogAIAWSEvent StreamingCommunication
About this role
Twilio is a company shaping the future of communications, providing innovative solutions to businesses and developers globally. They are looking for a Backend Software Engineer to design and build robust APIs and systems for their customer data platform, collaborating with cross-functional teams to enhance developer velocity and customer experience.
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