Staff Data Systems Engineer - Remote Lead & Architect

Nerdleveltech; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Twilio is hiring a Staff Software Engineer for the Data Substrate team. You will architect scalable data solutions, mentor engineers, and drive cross-functional initiatives for high-impact results.

Based remotely in the United States, you’ll lead with expertise in data systems, Kafka, Clickhouse, Spark, and cloud platforms like AWS, using Kubernetes and Terraform/Helm to deploy robust pipelines.

Qualifications

• 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.

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.

Skills

Distributed systems

Data infrastructure

Leadership

Communication

Mentoring

Problem solving

Education

Bachelor's or Master's in CS/Engineering

Tools

Kafka

Clickhouse

Spark

Kubernetes

Terraform/Helm

AWS

Job description

Twilio is hiring a Staff Software Engineer for the Data Substrate team. You will architect scalable data solutions, mentor engineers, and drive cross-functional initiatives for high-impact results.

Based remotely in the United States, you’ll lead with expertise in data systems, Kafka, Clickhouse, Spark, and cloud platforms like AWS, using Kubernetes and Terraform/Helm to deploy robust pipelines.