Software Engineer (L4)

Summary

Join Twilio's Efficiency Engineering team as a Staff Software Engineer and directly influence the development and deployment of solutions, improving operational efficiency and customer experiences. This pivotal role ensures the team has the expertise to deliver cutting-edge software and data science solutions. You'll work on cutting-edge software and AI/ML projects, contributing to innovative solutions that drive efficiency and customer success globally. Success involves delivering high-quality products on time, collaborating with cross-functional teams, and contributing to Twilio’s strategic goals. The position is remote-based in Ontario, BC, or Alberta, Canada, with occasional travel required. Twilio offers competitive pay, generous time off, parental and wellness leave, healthcare, and a retirement savings program.

Requirements

• 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

Responsibilities

• Co-lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance
• 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 coach a team of talented engineers, fostering a culture of technical excellence, collaboration, and continuous learning
• 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

Preferred Qualifications

• 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)

Benefits

• Competitive pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program