Twilio
Software Engineer (L3)
Rol remoto de Engineering con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityNivel abierto
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
India
Resumen del rol
Software Engineer (L3)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Design and deliver robust, high-scale routing experiences for Data Pipelines for Twilio Segment.
- Operate always-available, complex distributed systems in cloud environments.
- 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.
- Mentor junior engineers and contribute to a culture of technical excellence and continuous learning.
- Participate in an on-call rotation for our managed services. Troubleshoot and improve system reliability, debugging issues and refining operational tooling and processes.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- Hands-on experience with high-scale messaging/streaming systems and processing engines (several thousand events/sec).
- 5-7 years experience writing production-grade code in a modern programming language.
- Proficient programming experience in Go, Java, Python or similar object-oriented languages.
- Experience operating large-scale, distributed systems on top of cloud infrastructure.
- 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;
- Leverage best-in-class development productivity practices including AI tooling.
- Excellent communication, problem-solving, and operational excellence skills.
- Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS)
- Technical depth in distributed systems, high-scale ingestion, and cloud-native architecture.
- 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.
- Excellent abilities in high level service design -- modeling interfaces and internals in a properly modular, composable, and extensible way.
- Experience working in a geographically distributed team.
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