• Build and maintain backend services and APIs using Python, FastAPI, and Temporal • Work with Postgres to design schemas, write efficient queries, and keep data performant • Write solid unit tests and participate in code reviews • Apply DevOps fundamentals — containerization, CI/CD pipelines, deployment • Take well-scoped features from implementation to production • Debug production issues methodically

• Lead the implementation of new features and enhancements on existing products, demonstrating ownership and expertise. • Design, develop, and maintain front-end applications using modern frameworks (e.g., Angular, React) and best practices. • Architect and build scalable, secure APIs to support new features and products. • Proactively identify and address technical challenges, refactor code to reduce technical debt, and promote best practices across the team. • Collaborate with cross-functional teams and third-party vendors to deliver projects on schedule and with high quality. • Drive test-driven development and implement robust testing strategies across the technology stack. • Provide technical guidance and mentorship to junior and mid-level engineers. • Actively participate in Agile ceremonies and contribute to continuous process improvements.

• Develop backend solutions in Java, focusing on modernizing the SAP commission system. • Design and implement RESTful APIs, ensuring robust integration between systems. • Define and apply architectural patterns and best practices in Spring. • Conduct technical code reviews, collaborating to maintain system quality. • Support integration of DevOps processes, including deployment automation and application monitoring. • Perform database optimizations and tuning to improve performance and availability.

• Own day-to-day database operations and service requests across cloud-native (Cloud SQL) and legacy SQL Server environments • Write and optimize SQL queries, stored procedures, and data models in support of software and data product teams • Collaborate with architects and engineers to implement scalable, low-latency database services for OLTP and analytical workloads • Build and maintain CI/CD pipelines for schema migrations using Liquibase or Flyway • Contribute to the automation of database provisioning, monitoring, and security hardening using Infrastructure-as-Code (Terraform) • Diagnose and resolve performance issues using telemetry tools to identify slow queries, inefficient indexing, and capacity bottlenecks • Support ETL pipelines and real-time data movement in cloud-native environments, working closely with data engineering teams • Document and maintain operational runbooks, architecture decisions, and troubleshooting guides • Partner with principal engineers and the Enterprise Architecture organization to design reusable patterns and blueprints for common database workloads