• Work directly on the development and evolution of the database for a Confitec product. • Perform fixes, analysis, development of new requirements, and data modeling to study and implement systems in accordance with business rules. • Create and optimize complex queries, stored procedures, views, triggers, and functions, ensuring high performance. • Ensure the integrity, security, and consistency of business rules applied directly at the data layer.

• Design and build scalable ETL/ELT pipelines for BigQuery, using Python and SQL. • Lead our implementation of DataForm for version-controlled, testable SQL transformations. • Define and maintain engineering standards: code review, CI/CD, monitoring, and testing. • Work with analysts, product engineers, and the AI team to turn business needs into robust data models. • Mentor teammates and help level up how Journey works with data. • Work with modern tech, use LLMs and agentic coding tools responsibly to speed up analysis and development. • Projects include migrating legacy Databricks ETL to GCP-native tooling, building cross-cloud ingestion pipelines, and setting up a DataForm-based transformation layer from scratch.

• Help to envision, design, and implement new features utilizing the Appian low-code platform for the projects based upon the prioritized product backlog • Bring innovating, out-of-the-box thinking to solving challenging problems, brainstorming with peers and utilizing available resources including internal as well as external resources • Provide estimates of upcoming sprints' work based upon current understanding of the functionality • Work with functional and testing team to understand the business functionality, to ensure what is developed meets or exceeds the end-user needs • Unit test all developed features, including edge cases. Also be comfortable to conduct peer review of other developers code as needed • Attend and actively participate in all Agile-related meetings. Work within the Agile framework including participating in User Story grooming sessions, Sprint Planning meeting, and retrospectives • Delivery presentations as required to the client during Sprint demos as well coordinating meetings with intersecting teams as required. • Participate in knowledge sharing sessions within the company to socialize best practices and white papers as applicable

Role Description Our VC-backed, Unicorn-level US client is building the next generation of intelligent billing infrastructure for independent healthcare providers — a cloud-native, AI-native platform designed to eliminate the manual complexity of US medical billing and get providers paid faster. This is a greenfield build with real urgency, a talented team, and meaningful skin in the game for everyone involved. We're looking for a Staff Backend Software Engineer with deep Java expertise and genuine AI fluency to join their Revenue Cycle Management team. You'll be a core technical leader on a small, senior team building a new billing system from the ground up — one where AI isn't bolted on after the fact but baked into the architecture from day one. What you'll be doing: - Designing and building the backend services that power a new AI-native billing platform, hosted on GKE and built cloud-native from the ground up. - Integrating LLMs, ML models, and external AI services into billing workflows — with proper observability, fallback behaviour, and human review where appropriate. - Identifying and implementing practical AI opportunities across the SDLC: summarization, extraction, classification, recommendation, and workflow automation. - Partnering closely with a principal frontend engineer and cross-functional teams (product, design, data, operations) to turn complex billing pain points into scalable solutions. - Leading code reviews, establishing engineering best practices, and mentoring junior and mid-level engineers. - Contributing to technical direction and architecture decisions for a platform with a real end-of-year launch target. Qualifications - 8+ years of professional software engineering experience. - Strong, production-depth Java and Spring Boot — this is their core backend language and a hard requirement. - RESTful APIs and microservices architecture at scale. - Hands-on React and frontend fluency — you're comfortable owning frontend work, not just aware of it. - Cloud platform experience: GCP preferred, AWS or Azure also fine; you understand cloud-native architecture in practice. - Containers, Kubernetes, CI/CD pipelines (Jenkins, Harness, Docker) — not just awareness, actual production use. - Database depth across relational and NoSQL: MySQL, PostgreSQL, MongoDB, DynamoDB. - You use AI tools every day across your full workflow — research, debugging, code generation, deployment. This isn't a nice-to-have; it's how they work and how they expect this person to work. Requirements - Recent TypeScript or Node.js experience alongside your Java background — they're evolving their stack and that combination is genuinely valuable there. - Prior exposure to US healthcare billing, claims processing, or RCM — the domain has a steep learning curve and prior knowledge meaningfully accelerates impact. - Experience building production AI-enabled services — agentic workflows, LLM integration, evaluation frameworks, not just using Copilot. - Track record of greenfield platform delivery with real deadlines and real stakes. Benefits - Fully remote. - You'll report directly to the engineering leader (Sr Director) for this team. - This is a high-ownership, high-impact seat on a small team with a tight timeline — the right person will have the technical depth to lead from day one and the mindset to thrive in a build environment.