• Database Engineering & Modernization (60%) • Stored procedure refactoring: Analyze, optimize, and decompose complex stored procedures into smaller, testable, well-documented units • Performance engineering: Query tuning, indexing strategy, execution plan analysis, optimizing data access patterns • Schema evolution: Design backward-compatible schema changes with safe rollout/rollback patterns • Migration seams: Create facades, wrappers, and anti-corruption layers around stored procedures to enable gradual extraction of business logic into services • Legacy .NET Modernization (30%) • Refactor .NET Framework code supporting DPS workflows into maintainable, testable modules • Implement strangler fig patterns to incrementally move logic from database service layer while maintaining production stability • Build domain-aligned modules/services with clear contracts that enable the Domain & Services Squad to extract capabilities • Establish patterns for dependency injection, observability, and error handling in established .NET codebases • Operational Excellence (10%) • Implement performance baselines, regression detection, and alerting for data-intensive workflows • Participate in incident response for data/performance-related production issues • Create diagnostic tooling and runbooks to reduce time-to-resolution • Collaborate with SRE/DevOps on deployment safety (blue/green, feature flags, canary releases for schema changes)

• Lead the implementation of end-to-end solutions for Vivo's new commission system, working on both backend and frontend. • Design and develop complex features using Java Spring, Oracle SQL, React, and Node.js. • Analyze requirements, propose technical improvements, and ensure adherence to development best practices. • Mentor team developers, fostering knowledge sharing and best practices. • Conduct code reviews, refactoring, and conflict resolution in collaboration with the team. • Ensure efficient integration between legacy systems and new solutions. • Define and improve CI/CD pipelines to automate build, test, and deployment processes. • Explore opportunities to apply artificial intelligence within system workflows. • Use cloud services (AWS and Azure) to ensure scalability, security, and performance of solutions.

• Design and develop backend services leveraging RAG architectures to deliver intelligent, context-aware responses • Build and optimize integrations with LLM providers (e.g., OpenAI, Bedrock), ensuring performance, scalability, and cost efficiency • Develop modern user interfaces using React and TypeScript • Build Python-based APIs and microservices deployed via AWS Lambda (Serverless Framework); contribute to Node.js services where needed • Work with and integrate multiple data sources, including PostgreSQL, Snowflake, and DynamoDB • Collaborate with frontend, data, and DevOps teams to ensure smooth deployment and integration of AI-driven features • Implement monitoring, logging, and performance optimization for AI pipelines and services (CloudWatch, etc.) • Maintain security best practices for data handling, authentication, and API usage • Continuously evaluate and recommend new AI tools, frameworks, and best practices.

• Lead the Wizz backend team of four Senior Backend Engineers and own the team strategy. • Own the backend architecture, ensuring scalability, performance, and reliability for millions of users. • Collaborate closely with product teams to influence product decisions from a strong technical perspective. • Design, implement, deploy, and maintain highly scalable and highly available backend systems, including features that enhance user safety and content moderation. • Integrate and manage third-party services (e.g., analytics, moderation, cloud tools) to ensure a secure and seamless user experience. • Define and promote best practices for reliability, observability, and infrastructure management. • Contribute to the evolution of the backend infrastructure to support rapid product iterations, responsible growth, and a safe environment for users. • Improve system performance and scalability, with a focus on high-traffic distributed systems.