Senior Software Engineer, Trino

**About the company:** Treasure Data Minato-ku, Tokyo Treasure Data is the only enterprise Customer Data Platform that harmonizes an organization’s data, insights, and engagement technology stacks to drive relevant, real-time customer experiences throughout the entire customer journey. **Responsibilities:** Work as a member of the team by designing and developing Trino solutions Be responsible for providing solution expertise around Trino technologies. This includes technology assessment, use case development, as well as solution outline and design for modern data architectures Establish standards and guidelines for the design & development, tuning, deployment, and maintenance of advanced data access frameworks and distributed systems Document architectural and technology advancements Work with your team to set up the roadmap for Trino-related products based on operational needs and customer-requested features Mentor and train new members in the team Version and release management of Trino products Evaluate, test, and set a base version Backport any needed patches from trunk, which contains the latest cutting-edge version of the project, but therefore may also be the most unstable version Deploy new customer-facing features for Trino Coordinate with support and product teams on product releases Make contributions to the Trino open source community Automate Trino cluster operations to reduce operational overhead Design, develop, and evaluate metrics to ensure system health and plan infrastructure capacity of clusters Design and develop scripts to automatically start and stop clusters and switch traffic between active clusters for load balancing of customers’ workloads Design and develop failure recovery tools to automatically detect the occurrence of faults and recover faulty clusters Provide in-depth support services to Trino customers Take responsibility for on-call to support Trino customers Deal with escalations on product defects and performance issues, lead and perform in-depth troubleshooting of Trino-related systems Requirements Work-context English A BS or higher in Computer Science or equivalent experience At least 5 years’ experience: Java Operating production scale deployments With MySQL, PostgreSQL or other open-source distributed databases/key-value stores Solid understanding of cloud architecture and services in public clouds like AWS, GCP, or Microsoft Azure Deep understanding of distributed systems and their challenges Experience working with distributed, scalable Big Data stores or NoSQL, including HDFS, S3, Cassandra, Big Table, etc. Experience in developing use cases, functional specs, design specs, ERDs etc. A solid understanding of computer science (algorithms, data structures, etc.) Solid understanding and handling of Big Data problems Able to work independently as well as in a team Strong capability in implementing new and improved data solutions for multi-tenant environments Solid understanding of cloud architecture and services in public clouds like AWS, GCP, or Microsoft Azure Experience developing and operating distributed data warehouses or query engines like Trino, Presto, Spark, Snowflake, Databricks, AWS Athena, Google BigQuery. Nice to haves While not specifically required, tell us if you have any of the following. Deep understanding of the capabilities of Trino Kotlin and Scala experience Familiar with microservices-based software architecture Expertise in Data Integration patterns Strong track record to drive rapid prototyping and design for Big Data Experience with extending Free and Open–Source Software (FOSS) or COTS products Strong IT & Security skill sets and knowledge Experience with the design and development of multiple object–oriented systems Good understanding of ‘infrastructure as code’ and operations APPLY FOR THIS POSITION DO YOU NEED MORE INFO? ASK A QUESTION Meet Treasure Data's Developers Scaling ML Algorithms for Enterprise with David Landup David discusses how he enjoys switching hats between ML and software, and why he finds Treasure Data’s “extensive ecosystem” so much fun. Read their story... Overcoming Imposter Syndrome at Treasure Data with Tyler Welsh Tyler is a software engineer at Treasure Data working on their Data Clean Room product. He talks about how Treasure Data supports their team’s learning and growth, and how they invest in the quality and performance of their services. Read their story... **Requirements:** Work-context English A BS or higher in Computer Science or equivalent experience At least 5 years’ experience: Java Operating production scale deployments With MySQL, PostgreSQL or other open-source distributed databases/key-value stores Solid understanding of cloud architecture and services in public clouds like AWS, GCP, or Microsoft Azure Deep understanding of distributed systems and their challenges Experience working with distributed, scalable Big Data stores or NoSQL, including HDFS, S3, Cassandra, Big Table, etc. Experience in developing use cases, functional specs, design specs, ERDs etc. A solid understanding of computer science (algorithms, data structures, etc.) Solid understanding and handling of Big Data problems Able to work independently as well as in a team Strong capability in implementing new and improved data solutions for multi-tenant environments Solid understanding of cloud architecture and services in public clouds like AWS, GCP, or Microsoft Azure Experience developing and operating distributed data warehouses or query engines like Trino, Presto, Spark, Snowflake, Databricks, AWS Athena, Google BigQuery. **Nice to have:** While not specifically required, tell us if you have any of the following. Deep understanding of the capabilities of Trino Kotlin and Scala experience Familiar with microservices-based software architecture Expertise in Data Integration patterns Strong track record to drive rapid prototyping and design for Big Data Experience with extending Free and Open–Source Software (FOSS) or COTS products Strong IT & Security skill sets and knowledge Experience with the design and development of multiple object–oriented systems Good understanding of ‘infrastructure as code’ and operations APPLY FOR THIS POSITION DO YOU NEED MORE INFO? ASK A QUESTION Meet Treasure Data's Developers Scaling ML Algorithms for Enterprise with David Landup David discusses how he enjoys switching hats between ML and software, and why he finds Treasure Data’s “extensive ecosystem” so much fun. Read their story... Overcoming Imposter Syndrome at Treasure Data with Tyler Welsh Tyler is a software engineer at Treasure Data working on their Data Clean Room product. He talks about how Treasure Data supports their team’s learning and growth, and how they invest in the quality and performance of their services. Read their story...