Lead the architecture and design of complex, large-scale distributed systems
Design, develop, and maintain scalable, fault-tolerant microservices for both real-time and batch data processing;
Build and maintain high-performance REST APIs with a focus on scalability, reliability, and maintainability;
Design and implement data models and queries for efficient storage and retrieval across SQL and NoSQL databases;
Lead data quality initiatives to ensure consistency, accuracy, and reliability of data across the platform;
Collaborate with cross-functional teams to translate platform requirements into effective technical solutions
Drive technical standards and best practices for code quality, testing, and observability across engineering teams;
Mentor and provide technical guidance to engineers through code reviews, design discussions, and direct support
Take end-to-end ownership of the software development lifecycle, including deployment, monitoring, and incident response.

Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a related field or foreign equivalent;
Minimum 10 years of industry experience with a focus on backend and data engineering
Proven experience designing and operating distributed data systems using a micro-services architecture, with a solid understanding of scalability, fault tolerance, performance, and observability best practices;
Hands-on experience with CI/CD pipelines and deployment automation;
A track record of writing high-quality, maintainable code across multiple services and teams;
Strong leadership skills to guide, mentor, and support engineers while fostering a collaborative team culture;
Excellent communication, analytical, and problem-solving skills;
Ability to adapt to a rapidly changing environment with evolving or ambiguous requirements;
Demonstrated ability to work independently, take ownership of complex projects, and drive them to completion with minimal supervision;
Ability to leverage AI-powered tools and frameworks to enhance developer productivity, automate workflows, and optimize data-driven systems;
Experience with AWS serverless technologies (e.g., SST, CDK, Terraform), NoSQL databases (e.g., DynamoDB), stream processing (e.g., Kinesis, DynamoDB Streams);
Experience developing backend services using modern languages such as TypeScript and Node.js;
Experience deploying and managing applications on public cloud platforms (e.g., AWS, GCP).

Recognized three years in a row as a Top Workplace by the Austin-American Statesman
Flexibility at work
you can take control of your profession and personal schedule
All-hands events hosted in beautiful Austin, Texas
Annual equity awards for all top performers
Competitive and comprehensive medical, dental and vision plans
Peace of mind through company-paid short-term disability, long-term disability and life insurance
Generous 401(K) company match vested immediately
Progressive parental leave policies
Flexible paid time off
Hack-a-thons and a full calendar of team-building and social events
Company donation to youth teams and leagues that our employees coach
Stocked snack bar, catered lunch and breakfast tacos every week

Staff Data Platform Engineer

Key skills