At this project, you’ll get to work with a fantastic group of engineers and product managers and have a direct influence on shaping our processes and products. The team here works hard and is comfortable making mistakes, with the understanding that when things go right, it can transform an institutionalized industry.

📍Work closely with the Platform Team Lead and Product Director to deliver engineering solutions for our user requirements 📍Build services that power data pipelines and design new data models as necessary 📍Maintain ETL processes and workflows in a cloud environment 📍Implement a robust system architecture that takes into consideration how changes will affect the testability, maintainability, scalability and observability of the system 📍Optimize our code, processes and balance maintaining optimal performance and continuous improvements to our existing data pipelines. 📍Consistently work to identify and mitigate security concerns, refactor old code judiciously, and follow development best practices 📍Assist with building reliable Application Performance Monitoring (APM) tools, e.g. DataDog, CloudWatch alerting 📍Automate testing and continuous integration in delivering bug-free, fully test-covered code in short time frames 📍Collaborate with various teams across the business (Operations, Product, etc.) to drive solutions that have a serious impact on our systems and our business overall 📍Work with talented, diligent coworkers who constantly collaborate and learn together

What will help you succeed

📍Bachelor's degree or higher in Software Engineering, Computer Science or a related field 📍10+ years of experience designing, building and refactoring high-quality scalable Java services 📍4+ years of experience working with database models, design, DDLs and DMLs 📍2+ years experience with workflow orchestration services like AWS Step Function, AWS SQS, AWS Lambda 📍Experience on Cloud Solutions (preferably AWS) 📍Experience building and supporting end-to-end integrations, across various methods (API/EDI/SFTP/Flat Files) 📍Prior experience in a startup and comfortable owning decisions in a rapidly changing environment 📍A desire to solve difficult problems and translate those solutions into high performance code 📍A solid mix of initiative, critical thinking, and work ethic 📍Proficiency in the following areas with the respective tools: 📍Languages: Java 📍Framework: SpringBoot 📍ETL: AWS Glue, AWS Data Pipeline 📍Databases: PostgreSQL, SQL Server 📍Infrastructure: Linux, AWS, Docker, Terraform 📍Integration: REST, Queuing/Messaging Services