• Design and develop database applications and complex data migration solutions • Develop transformation and data processing logic using PL/SQL, SQL and Python • Work with Oracle and PostgreSQL databases, including data modeling, complex SQL and performance optimization • Use Python for data processing, automation, database integration and migration tooling • Analyze and optimize complex SQL and PL/SQL applications • Design scalable data models and migration workflows • Use modern AI tools such as Claude Code to design, develop, test and document solutions • Maintain and further develop existing applications and migration solutions • Cooperate directly with colleagues, partners and customers • Depending on your experience: take responsibility for project coordination, requirements analysis and customer communication

• Facilitate effective communication with client project stakeholders regarding project status and recommendations. • Craft client code that is not just efficient, but also performant, testable, scalable, secure, and of the highest quality. • Actively participate in accurate planning and estimation efforts, utilizing project methods and tools. • Proficiently gather requirements and organize/present developed features for clients. • Execute complex activities within the current methodology and quality standards, showcasing success across diverse engagements. • Promote client success across the team by collaborating with engineers, designers, and managers to understand user pain points, anticipate potential problems, and iterate on solutions that drive client success. • Engage in agile software development, including daily stand-ups, sprint planning, team retrospectives, and other governance activities. • Actively participate in the Engineering Practice community, mentoring others through Communities of Practice (CoPs) or on project teams, and supporting the growth of technical capabilities. • Independently drive project delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment.

• Design, develop, and maintain backend applications using Python and FastAPI; • Define and promote best practices in architecture and development; • Participate in technical discussions and provide technical support to the team; • Work on optimizing application performance, scalability, and observability; • Contribute to the evolution of the platform architecture; • Participate in code reviews and mentor less-experienced developers; • Support quality, security, and technical governance initiatives.

• Build AI-integrated backend systems: Design and ship production-grade services that connect AI models (Claude, OpenAI, or open-source equivalents) to our compliance workflows, handling prompting, output parsing, and model behaviour in a real regulated-industry context • Own service architecture end-to-end: Co-own design, reliability, and scalability from day one, no PM layer between you and the technical decisions that shape the product • Automate AML/AFC compliance operations: Translate compliance agent workflows into software, from EDD automation to customer onboarding acceleration, with direct feedback from the ops teams you're helping • Drive continuous improvement: From production monitoring to post-mortems, you track impact, flag regressions, and improve what's in your scope with your peers and manager • Shape the technical direction: In a team of 5, every engineer carries architectural weight. You'll lead design discussions, anticipate risks, and contribute to how the platform evolves