About The Position

As a Staff Data Platform Engineer, you will be a key technical contributor within the Trino Engine team in the Platform Persistence group. Our largest customers are always pushing the limits of the backend storage in terms of size of the data, speed of IO, as well as number of concurrent transactions. Performance, reliability, and scalability is always at the core of our work. You will focus on developing and optimizing critical components of our Trino engine and its containerized deployment infrastructure.

Requirements

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
  • Experience In using AI Productivity tools such as Windsurf, Cursor, etc is a plus or nice to have.
  • Typically requires a minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent experience.
  • Proficiency in Java/JVM ecosystem and performance tuning
  • Experience with modern front-end frameworks such as Angular, React, or Vue.
  • Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization
  • Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines
  • Understanding software quality principles including reliability, observability, and production readiness.
  • Ability to troubleshoot complex systems and optimize performance across the stack.
  • Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency.
  • Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems
  • Strong expertise in Trino engine development or similar distributed query engines
  • Solid experience with container orchestration platforms (Kubernetes, Docker)
  • Strong understanding of distributed query processing and optimization
  • Experience in performance tuning and troubleshooting distributed systems
  • Strong background in SQL and distributed database systems

Nice To Haves

  • Hands-on experience with distributed query engines (Trino, Spark, or similar)
  • Contributions to open-source projects
  • Experience with cloud-native architectures
  • Knowledge of data governance and security practices
  • Background in performance optimization of big data systems
  • Knowledge of data lake architectures and technologies
  • Experience with cloud platforms (AWS/GCP/Azure)

Responsibilities

  • Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability. Design and implement critical components of the Trino engine
  • Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery
  • Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs.
  • Contribute to the design and implementation of new products and features while enhancing existing product capabilities. Contribute to technical design decisions and architectural improvements.
  • Integrate automated testing into development workflows to ensure consistent quality across releases.
  • Participate in design and code reviews ensuring best practices in performance, maintainability, and testability.
  • Develop comprehensive test strategies covering functional, regression, integration and performance aspects
  • Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality
  • Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team. Collaborate with team members to solve complex distributed systems challenges.
  • Develop and optimize query processing and execution systems. Implement performance optimizations and scalability improvements. Build containerized deployment solutions for Trino in production environments

Benefits

  • health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Professional, Scientific, and Technical Services

Number of Employees

5,001-10,000 employees

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