Twilio
Principal Software Engineer
Rol remoto de Engineering con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
India
Resumen del rol
Principal Software Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Lead architecture and system design for complex, distributed software systems; guide teams toward scalable, maintainable solutions.
- Design, implement, and review high-quality code for core services, APIs, platforms, and/or user-facing applications.
- Translate business goals into technical roadmaps, identify tradeoffs, and align stakeholders on solution direction.
- Improve system resiliency, latency, throughput, and cost efficiency; establish SLOs/SLAs and operational practices.
- Drive standards for coding, testing, CI/CD, observability, security, and documentation; champion automation and quality.
- Partner with engineering managers, staff engineers, and product leaders to coordinate delivery across multiple teams.
- Coach and mentor engineers at all levels; lead design reviews, incident postmortems, and technical deep dives.
- Identify technical risks early (security, scalability, compliance) and drive mitigation plans.
- 12+ years of experience designing and developing highly-available, high-scale, secure, mission critical native cloud enterprise SaaS applications in Java, Go or Python.
- Knowledge of architectural patterns and archetypes for building mature services, especially for distributed and multi-regional deployments.
- Excellent abilities in high level service design - modeling interfaces and internals in a proper modular, composable, and extensible way.
- Experience with AWS, GCP or other public cloud infrastructure platforms. Multi-region deployment is a plus.
- Experience building distributed systems at scale based on microservices architecture.
- Extensive experience with REST API design and implementation.
- Experience working with data architecture such as Clickhouse, Lakehouse, Snowflake
- Experience with SQL/NoSQL databases and caches.
- Familiarity with streaming systems such as Kafka, Flink, Spark
- Experience with container technologies - Docker/Kubernetes.
- Experience implementing modern automated testing and CI/CD pipelines. Develop, Test, Deploy your code.
- Strong expertise in solving complex production issues
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