Twilio
Staff Software Engineer (L4)
Rol remoto de IT con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Canadá
Resumen del rol
Staff Software Engineer (L4)
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Details
- Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance.
- Drive the development of sophisticated, stateful web applications. You will oversee the integration of complex React-based front-ends with backend modular services, ensuring a seamless UI experience.
- Serve as developer leader in distributed systems, data technologies, with strong software engineering skills.
- Drive technical innovation and research to stay at the forefront of emerging data technologies and best practices.
- Mentor and elevate a team of high-performing engineers. You don’t just write great code; you foster a culture of technical excellence, helping senior and mid-level engineers level up through deep-dive code reviews and architectural workshops.
- Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions.
- Continuously adapt to the evolving JavaScript ecosystem to maximize engineering efficiency.
- Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in data engineering, software development, or a related field, with at least 3 years in a technical leadership role.
- Experience with full-stack development building web apps, using modern programming languages such as JavaScript, Typescript or React.
- Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems.
- Strong understanding of data modeling, data warehousing, and ETL processes, with experience designing and optimizing data pipelines.
- Excellent communication and collaboration skills, with the ability to influence technical decisions and drive alignment across teams.
- Strong leadership skills, with a track record of mentoring and developing high-performing engineering teams.
- Demonstrated ability to thrive in a fast-paced, dynamic environment and deliver results under tight timelines.
- Experience developing production-quality LLM applications and using modern agent frameworks such as Langchain, Langgraph, Llamaindex, LangSmith, LangFuse, CrewAI, and/or others is a plus.
- Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure).
- $160,320 - $200,400
- Target Bonus Percentage 15% (When Applicable)
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