• Lead and manage ETL migration processes across multiple concurrent projects, ensuring robust data pipeline development and timely project delivery. • Develop and maintain efficient extraction, transformation, and loading scripts, utilizing Python, SQL, and related data engineering tools to ensure high-quality data migrations. • Implement feedback-driven improvements from clients and internal teams, enhancing data conversion quality, performance, and reliability. • Actively contribute to data quality assurance processes and review datasets for accuracy, completeness, and consistency. • Conduct in-depth analysis and profiling of diverse source database schemas (including relational and non-relational legacy systems) to accurately map and facilitate successful data extraction and migration. • Collaborate closely with the broader Client Experience team to seamlessly integrate client data into SpryPoint products, enabling smooth and timely go-live processes. • Work with the Data Conversion team to establish and promote best practices, create documentation, and drive continuous improvement in data migration processes, automation, and observability. • Actively participate in daily standups and weekly review sessions, clearly communicating progress, raising blockers, and incorporating feedback to continuously improve data engineering tasks and processes.

Role Description We’re looking for a Product Engineer to join our Accounting and Ledger team and work on core parts of the Xolo platform. You will help build and maintain systems that power our general ledger, VAT and tax reporting, regulatory submissions, period close and other key accounting activities. You will automate compliance so entrepreneurs across Europe stay penalty-free without getting buried in paperwork. This role suits someone who enjoys taking ownership, thinking through real-world problems, and building reliable systems in a product-focused startup environment. We are especially interested in engineers who have experience with accounting, tax, ledger, or other financial and compliance systems where correctness, reliability, and regulatory accuracy matter. As a Product Engineer at Xolo, you will: - Design, build, and maintain backend and frontend systems that power our core platform. - Deliver solutions via API to UX with workflow automation as the default mental model. - Take full ownership of end-to-end solutions from understanding the problem and success metrics to implementation, monitoring, and continuous improvement. - Work with Product, Design, and key stakeholders to translate accounting, tax, and regulatory requirements into scalable product experiences. - Build and maintain integrations with tax authorities and regulatory filing systems, while considering reliability, security, and operational constraints. - Build and maintain reconciliation and period-close workflows, ensuring ledgers stay balanced and books close accurately and on time. - Make technical decisions that balance security, performance, quality, and long-term maintainability. - Contribute to improving observability, system reliability, and engineering practices across the platform. - Stay curious about emerging technologies, including AI-assisted engineering workflows and developer tooling. Qualifications - Proven professional experience working with Java and the Spring Boot framework in production environments. - Experience with Python and React is a strong plus. - You have proven experience building products in accounting, tax, ledger, financial reporting, or other regulated financial environments. - Hands-on experience with accounting or ledger systems and designing and delivering regulatory or tax-authority filing integrations. - Solid understanding of double-entry accounting, VAT, and tax-reporting concepts, including their practical benefits, tradeoffs, and constraints (e.g. e-invoicing and SII-style filing). - You are confident with SQL and designing database schemas that perform well under real user load. Experience with PostgreSQL is a plus. - You enjoy working in startup and scale-up environments with evolving priorities and a high level of ownership. - You think beyond implementation details and care about how your work impacts customers and the business - you are outcome-oriented. - Interest in AI tools and how they can improve engineering workflows and products. Requirements - Exposure to AI, Machine Learning, or data science concepts in a product engineering environment is nice to have. - Experience building or experimenting with AI-powered features or automations is a plus. - Proven contributions to engineering excellence and developer experience. - Experience with AWS (or another major cloud provider) and are interested in deepening your understanding of infrastructure, networking, CI/CD, and containers. Benefits - A team of Mavericks: We aspire to challenge the norm by encouraging bold thinking and embracing the unconventional. - We run like Clockwork: Our processes are designed to be smart, efficient, and finely tuned. - Our Big-hearted nature: You’ll work alongside mission-driven individuals who lead with empathy.

• Provide first- and second-level support for healthcare IT systems, including troubleshooting and resolving technical issues. • Respond to user inquiries via phone, email, and ticketing systems in a timely and professional manner. • Participate in a rotating schedule to monitor the support queue, triage incoming tickets, and assign them to the appropriate product or functional team. • Collaborate with IT, Product, and Engineering teams to escalate and resolve complex issues. • Maintain detailed records of incidents, solutions, and workflows in the ticketing system. • Assist with system updates, installations, and user onboarding for new software and hardware. • Contribute to the continuous improvement of support processes and knowledge base. • Ensure compliance with regulatory standards and internal IT policies. • Support key customers and maintain positive relationships, providing updates and guidance as needed.

• Own end-to-end process mapping across all operational workflows, from intake through delivery. • Apply Lean, Six Sigma, DMAIC, and Theory of Constraints to identify waste and redesign for throughput and quality. • Establish KLD-wide documentation standards (SOPs, swimlane maps, RACI), maintain a current- and future-state process library. • Identify and actively manage the binding constraint in the production system at all times. • Build capacity models that connect staffing, work mix, and throughput to revenue and delivery commitments. • Develop surge capacity playbooks and flex staffing frameworks, and partner with Ops leaders to sequence and prioritize investments. • Design and own the KPI framework for operational performance, including throughput, cycle time, error rate, cost per unit, and capacity utilization. • Build dashboards and reporting cadences that give leadership real-time visibility into process health. • Lead a process improvement council across Ops, Product, Technology, and Finance to align on priorities and eliminate duplicative effort. • Hire, develop, and retain a team of industrial engineers and process analysts.