Software Engineer (L3) Data Substrate

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio's next Software Engineer on our Data & Analytics Platform Who we are & why we’re hiring Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences. Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a global company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. About the job We are looking for a talented and experienced Senior Software Engineer to join our Data Substrate team. In this role, you will play a crucial part in designing, building, and optimizing our platform to support a wide range of data-driven initiatives to power Twilio data lakes. You will work closely with cross-functional teams to understand business requirements, architect scalable solutions, and implement data solutions and infrastructure for our Data Platform. The ideal candidate will have deep expertise in data systems, strong technical and leadership skills, and a proven track record of delivering complex data projects at scale. Responsibilities In this role, you’ll: Design, build, and maintain infrastructure and scalable frameworks to support data ingestion, processing, and analysis. Collaborate closely with cross-functional teams to understand business requirements and translate them into scalable and efficient technical solutions. Architect and implement high-performance data systems, distributed storage solutions, and processing frameworks using modern technologies. Design and implement frameworks and solutions for performance and reliability. Ensure data quality, integrity, and security throughout the data lifecycle, adhering to industry best practices and compliance standards. Stay current with emerging technologies and best practices in big data technologies Mentor early in career engineers and contribute to a culture of continuous learning and improvement Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in software development or a related field. Proven track record of architecting and delivering complex data projects at scale, with a deep understanding of data infrastructure and distributed systems. Strong proficiency in programming languages such as Python, Java, Go, or Scala. Strong experience working with big data technologies such as Spark, Kafka, Athena, ClickHouse, DynamoDB, and distributed computing systems Strong experience with building data streaming pipelines and working with REST APIs Strong experience with AWS technologies at scale and using that to build and operate large scale systems Solid understanding of software engineering principles, including object-oriented and functional programming paradigms, design pa