Principal, Software Engineer

Summary

Join Twilio as a Principal Software Engineer and directly influence the development and deployment of solutions, improving operational efficiency and enhancing customer experiences. This pivotal role ensures Efficiency Engineering has the expert talent to deliver cutting-edge software and data science solutions. You will 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 and based in 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 or Master's degree in Computer Science, Engineering, or a related field
• 10+ years of experience in data engineering, software development, or a related field, with at least 5 years in a technical leadership role
• Experience with full-stack development using modern programming languages such as Typescript, Java, Go, Python etc
• Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems
• Experience in developing enterprise-grade AI products, and platform development using cloud technologies, Kubernetes, containerization and infrastructure-as-code such as Terraform, CDK etc
• Expertise in big data technologies such as Hadoop, Spark, Kafka, and cloud-based data services (AWS/GCP/Azure)
• 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

• Lead the design and development of our software infrastructure, driving technical vision and strategy to ensure scalability, reliability, and performance
• Serve as the subject matter expert in distributed systems, data technologies, with strong software engineering skills
• Architect and implement scalable and efficient software and data pipelines, storage solutions, and processing frameworks using state-of-the-art technologies
• 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
• Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards

Preferred Qualifications

• Experience with standard ML programming languages such as Python and libraries such as Pandas, NumPy, SciKit-learn, Tensorflow, Keras and AWS stack (Sagemaker, Step Functions, Kendra, Open Search, Batch etc.) is a plus
• 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
• Strong experience with AWS technologies and Kubernetes
• Excellent written and verbal communication skills

Benefits

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