Staff Software Engineer

Twilio

14d•$171,120 - $213,900•Remote

About The Position

Join the team as Twilio's next Staff Software Engineer on our Data Substrate team. 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.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8+ years of software development experience, with a focus on data infrastructure.
Proven track record of architecting and delivering complex, large-scale data projects.
Strong expertise in big data components such as Kafka, Clickhouse, Spark and other distributed computing systems.
Strong expertise with orchestrating, scaling, and managing containerized applications in production environments using Kubernetes (K8s) and Terraform/Helm.
Experience designing, building, and operating large-scale data platforms on cloud computing systems like AWS.
Proficiency in Python, Java, Bash, and Go with strong problem-solving skills and attention to detail.
Excellent communication skills, with the ability to influence technical roadmaps and drive alignment across cross-functional teams.
Proven leadership experience in mentoring and developing engineers.
Ability to thrive in a fast-paced, dynamic environment and deliver high-impact results.

Nice To Haves

Knowledge of tying into various authorization/authentication systems.
Networking and network security knowledge.
Deep expertise in Clickhouse: demonstrated experience in architecting, tuning, and operating Clickhouse at scale.

Responsibilities

Serve as a subject matter expert in distributed systems, data technologies, with strong software engineering skills
Architect and implement scalable and efficient data systems, 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.