• Lead Service Development: • Take ownership of the end-to-end service development lifecycle, from conceptualization to deployment, ensuring high-quality deliverables within specified timelines. • Architectural Design: • Collaborate with product and business stakeholders to design scalable and resilient service architectures that meet business requirements while adhering to best practices and industry standards. • Technical Leadership: • Provide guidance and mentorship to a team of developers, fostering a culture of innovation, collaboration, and continuous improvement. • Code Review and Quality Assurance: • Conduct thorough code reviews to ensure adherence to coding standards, performance optimization, and maintainability. Implement robust testing strategies to uphold product quality. • AWS Expertise: • Utilize your extensive experience with AWS services to architect, deploy, and maintain cloud-based solutions, leveraging services such as ECS, S3, Lambda, and others as appropriate. • Financial Industry Integration: • Apply your understanding of financial industry requirements to tailor solutions that address integration needs and comply with regulatory standards. • Build a deep understanding of our current infrastructure and identify improvements to keep Kapitus on the forefront of FinTech • Agile Methodologies: • Drive agile development practices within the team, including sprint planning, daily stand-ups, backlog grooming, and retrospectives, to ensure efficient delivery and continuous improvement. • Collaboration and Communication: • Work closely with cross-functional teams, including product management, QA, and operations, to ensure alignment of development efforts with overall business objectives.

• Build new products and features 0 to 1 • Take ownership of projects from conception all the way to shipping • Deliver value to our end users across our entire system • Shape our product direction by talking to users and collaborating with other teammates in feature brainstorms/roadmap planning • Help us build a great team — interview candidates, refer great engineers, etc.

• Embed intelligent automation into daily workflows across all four departments • Work with business leaders to pinpoint processes that can be improved or automated with AI • Lead company-wide AI training workshops and best-practice sharing • Establish a robust feedback loop to translate departmental needs and customer insights into AI feature requirements • Implement AI agents or AI software to analyze cross-channel marketing data • Use AI to generate customer-centric sales intelligence • Refine AI-driven lead scoring and routing models • Leverage AI to analyze customer feedback • Design and implement AI-powered workflows • Monitor the performance of AI features within the product • Oversee the day-to-day management, monitoring, and operational support of the organization's AI systems

• Design, develop, and support internal databases (SQL, NoSQL, Databricks) and Windows-based applications. • Work closely with the team to maintain existing applications and support end users. • Gather requirements from business units (e.g., engineering and sales) and interact with customers when needed to understand solution needs. • Collaborate with third-party vendors to integrate business systems or assist in application development. • Assist with researching, testing, and deploying reporting-based projects. • Follow a reliable software development life cycle process, including code changes, testing, and deployment. • Maintain clear and detailed documentation of work and planned changes. • Work with Business Analysts to understand needs, research solutions, and recommend technologies to management.