• Manage, maintain, and optimize SQL Server databases, ensuring performance, availability, and security • Manage, maintain, and optimize Databricks databases, ensuring performance, availability, and security • Manage, maintain, and optimize document databases, ensuring performance, availability, and security • Collaborate with the Software Engineering team to design and implement database structures and queries that meet the needs of our applications • Review and analyze query code to identify and resolve performance issues, ensuring efficient database operations • Monitor and tune database systems for optimal performance and reliability • Conduct database migrations, upgrades, backups, and recovery processes as needed • Assist the development team in troubleshooting and optimizing queries, stored procedures, and performance bottlenecks • Contribute to database design and data modeling to support application features and data integrity • Ensure database systems comply with security standards, particularly in highly regulated environments like life sciences • Provide technical support for existing elluminate product releases, diagnosing and resolving database-related issues • Assist in developing and documenting database management best practices • Support software developers in integrating C# and Entity Framework solutions with SQL Server databases (nice to have) • Implement backup and recovery strategies to protect data and ensure business continuity • Conduct regular database health checks, performance tuning, and maintenance tasks to optimize system performance • Stay updated with the latest database technologies and trends, recommending improvements to enhance database performance and security • Document database processes, procedures, and architecture to ensure knowledge transfer and continuity • Other duties as assigned

• With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. • You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. • You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. • You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process.

• Design, develop, unit test, and integrate full-stack application components. • Build scalable web applications using React on the frontend and Java 21 / Spring Boot on the backend. • Implement RESTful APIs, microservices, and integrations with enterprise systems. • Collaborate with UX/UI, product, architecture, and QA teams in an Agile environment. • Create and maintain architecture, design, and system documentation. • Ensure code quality, performance, and security (OAuth2, OIDC, JWT). • Work with MySQL, Hibernate, Spring Data, and Spring Security. • Support production systems using Kibana and APM tools, and participate in the on-call rotation when needed.

• Apply SOLID and KISS principles to produce modular, reusable, and simple code. • Apply main Design Patterns (Factory, Strategy, Builder, among others). • Experience building RESTful APIs using Python, Django ORM, FastAPI, or Flask. • Able to integrate the back-end service with a UI framework in Angular 18+. • Excellent Python coding skills and a strong understanding of Python best practices. • Experience in software testing with libraries such as pytest. • Knowledge of concurrent programming with asyncio, threads, processes and an understanding of the GIL. • Experience with relational databases such as PostgreSQL. • Knowledge of Docker and docker-compose. • Experience with messaging-based services (RabbitMQ, Kafka, ServiceBus, Redis). • Experience with observability tools such as Datadog, Grafana, ELK.