Software Engineer II

Overview

Design, build and operate production-grade software for Experity's Revenue Cycle Management platform, covering backend services, APIs, integrations, event-driven workflows, configurable business rules and data.

What you'll do

• Design, develop, test, deploy and operate scalable production software supporting Experity's Revenue Cycle Management workflows.
• Build backend services and REST APIs using TypeScript, Node.js and cloud-native technologies.
• Contribute to modern web applications when needed using React, Next.js and TypeScript.
• Design and implement event-driven, queue-based and asynchronous workflows with explicit state management, retries, redrive, exception handling, idempotency and auditability.
• Design long-running RCM workflows that support state transitions, human-in-the-loop processing, exception handling, replay/recovery, workflow versioning and compensation or reversal when appropriate.
• Build integrations with Experity applications, healthcare clearinghouses, payer systems and third-party RCM services.
• Design reliable interfaces for claims, payment, eligibility, rejection, denial and other healthcare transaction workflows.
• Develop configurable business rules and workflow capabilities that replace logic currently distributed across application code, spreadsheets and operational processes.
• Build rules and workflow capabilities that are configurable, versioned, explainable, auditable and safe to change without introducing unnecessary application dependencies.
• Work with claims, financial and operational data to improve automation, identify exceptions and measure business outcomes.
• Integrate Generative AI, LLMs, agents, retrieval and machine learning capabilities where they provide measurable value, using deterministic software and business rules where more appropriate.
• Build AI-enabled capabilities using clearly defined tools, APIs, contracts, permissions, validation, evaluation, observability and fallback paths rather than treating LLMs as standalone solutions.
• Use modern AI-assisted software development practices for codebase exploration, development, testing, debugging, documentation and engineering productivity while maintaining appropriate engineering review and quality standards.
• Build observability, automated testing, security, operational controls and failure recovery into software from the beginning.
• Design systems with healthcare security, PHI protection, least-privilege access, auditability and safe operational logging in mind.
• Contribute to architecture, technical design, engineering standards and platform evolution.
• Collaborate with Product, RCM Operations, Architecture, Data, QA and other engineering teams to understand real-world workflows and translate them into reliable software.
• Investigate production issues using application behavior, logs, metrics, data and user workflows.
• Own software through production and continuously improve it based on system behavior, operational feedback and business results.
• Measure the impact of engineering improvements through outcomes such as automation rate, exception rate, manual touches, processing time, rejection/denial resolution time, successful resubmission, payment outcomes and system reliability.

What you'll need

• 3+ years of professional software engineering experience building and supporting production applications.
• Strong software engineering fundamentals, including application design, testing, debugging, code review and maintainability.
• Experience building backend services, REST APIs and distributed applications.
• Proficiency with TypeScript, Node.js or comparable modern backend technologies.
• Experience with modern web development technologies such as React, Next.js or similar frameworks.
• Experience with relational databases, SQL, data modeling and transactional systems.
• Experience developing and operating cloud-hosted applications, preferably on AWS.
• Understanding of asynchronous processing, queues, events, retries, idempotency and distributed-system failure modes.
• Experience with automated testing, CI/CD pipelines, observability and secure software development practices.
• Ability to break complex business workflows into well-defined software components, services and contracts.
• Ability to investigate ambiguous problems and develop solutions using production behavior, data, logs and user workflows rather than relying only on predefined requirements.
• Strong collaboration and communication skills with the ability to work across engineering, product, operations, architecture and data teams.

Nice to have

• Healthcare Revenue Cycle Management, medical billing, claims, rejections, denials, eligibility or payment processing experience.
• Healthcare, HealthTech or SaaS environments.
• Waystar or other healthcare clearinghouse integrations.
• High-volume transaction or workflow-processing systems.
• Event-driven architectures and distributed systems.
• Modernizing legacy systems incrementally while maintaining production continuity.
• Configurable rules engines, workflow orchestration systems or exception-management platforms.
• Production use of Generative AI, LLMs, AI agents, retrieval-augmented generation or machine learning.
• AI orchestration frameworks, structured tool use, MCP or similar tool protocols and agentic workflows.
• Building human-in-the-loop automation where AI or software recommendations require review, approval, correction or escalation.
• Snowflake or other cloud-native data platforms.
• Docker, Kubernetes and containerized application deployment.
• Data-intensive application development and distributed data processing.

Details

• Location: Bengaluru Office.