• Support for projects related to the modernization and migration of database systems (Sybase → PostgreSQL) in a business-critical environment. • Analysis of existing applications, databases, stored procedures, and business logic to prepare the architecture for future technological changes. • Design and development of solutions based on Java and microservices architecture. • Migrating business logic from the database layer (stored procedures) to a modern application service layer. • Collaborating on system architecture and actively participating in technical decision-making. • Refactoring existing monolithic solutions and adapting them to a microservices architecture. • Collaborating with technical teams on long-term modernization and migration initiatives. • Identifying opportunities to leverage AI technologies in the software development process.

• Produce high-quality, performant, and testable code that directly contributes to company-wide initiatives. • Develop using interesting technologies -- Java, Kotlin, Typescript, GraphQL, Kafka, AWS/Lambda, PostgreSQL, DynamoDB and the legacy services are written in Elixir, Ruby, React. • Have significant input into technical decisions that will shape the future of our software systems. • Learn something new, whether its a new software design pattern or new initiative to push the company forward. • Review pull requests and provide constructive feedback to your peers. • Pair up with a team member to work together on features. • Deploy user-facing code to production.

• Implement, test, and maintain software with a focus on quality, scalability, and security • Support the definition and execution of technical requirements, ensuring the technological evolution of products • Collaborate with technology and business teams to develop new solutions • Design and evolve scalable, sustainable, and business-oriented solutions for both back-end and front-end • Actively participate in the design and review of technical solutions • Work in a challenging and innovative environment, continually seeking best practices • Collaborate with multidisciplinary teams (UX/UI, QA, DevOps, and PO) to deliver integrated and aligned outcomes

• Design, develop, and operate scalable backend services and microservices using modern Python (3.11+). • Build high-performance, well-documented RESTful and/or async APIs (FastAPI / Flask), with attention to latency, throughput, and reliability. • Write clean, typed, reusable, and testable code, backed by automated tests (pytest) and meaningful coverage. • Design systems for high availability, horizontal scalability, and low latency; reason about failure modes, backpressure, and graceful degradation. • Integrate and serve AI/ML capabilities — model/LLM API integration, retrieval pipelines (RAG), vector search, and inference endpoints — in collaboration with Data Science. • Integrate relational, NoSQL, caching, and vector databases, plus cloud data warehouses (Snowflake) and cloud-based storage. • Instrument services for observability (structured logging, metrics, tracing) and own production troubleshooting and performance optimization. • Implement security best practices: authentication, authorization, secrets management, and data protection. • Participate in architecture discussions, design reviews, and code reviews; help define and uphold engineering standards. • Mentor junior engineers and contribute to a strong engineering culture. • Work with DevOps / Platform teams on CI/CD pipelines, infrastructure-as-code, and deployment automation.