Expert Software Engineer II

Overview

Software Engineer on the consumer-directed healthcare platform engineering team, supporting and enhancing the legacy .NET and SQL Server code base while helping design and build cloud-native microservices.

What you'll do

• Maintain and enhance the existing ASP.NET/C# and SQL Server code base, including researching and debugging stored procedures and T-SQL.
• Analyze, design and develop tests and test-automation suites to ensure continued functionality during maintenance.
• Document each aspect of the system as a reference for future upgrades and maintenance.
• Collaborate on domain decomposition, domain modeling and domain-driven design (DDD) for new services.
• Design, implement and deploy microservices in C#/.NET on Azure with RESTful APIs and event-driven patterns.
• Use Azure PaaS services (App Service, Service Bus, SQL Database) and support eventual domain-based databases.
• Ensure interoperability and data consistency between the legacy system and microservices during transition.
• Champion test-driven development and write automated unit, integration and regression tests.
• Leverage AI-assisted tools for code generation, test case generation and documentation.
• Run code reviews, static analysis and refactoring sessions to improve code quality.
• Actively engage with product managers, product owners and business stakeholders to understand why features are being built, propose alternative approaches and weigh engineering/product trade-offs.
• Work cross-functionally with quality assurance, infrastructure, design and operations to deliver coherent solutions.
• Take end-to-end ownership for designing, building and delivering features.
• Provide ongoing maintenance, support and enhancements in existing systems and platforms.
• Communicate progress, raise risks early and drive resolutions.
• Recommend and implement improvements to engineering processes, architecture and performance.
• Stay current on best practices in microservices, cloud engineering and AI in software engineering.
• Mentor peers on test-driven development, DDD and software craftsmanship.

What you'll need

• 7+ years of professional software engineering experience at a software product company (building software products sold to businesses or consumers); services/consultancy backgrounds only considered if they involve product engineering in healthcare payments or similar domains.
• Strong test-driven development (TDD) background with demonstrated experience writing unit and integration tests and using test-automation suites.
• Proficiency in C#/.NET and database programming including PL/SQL, with experience working with stored procedures.
• Experience with microservices architecture and event-driven architectures.
• Experience deploying services to Azure or other cloud platforms and with modern DevOps practices (CI/CD pipelines, containerization, infrastructure as code).
• Demonstrated ability to read and understand legacy code (PL/SQL, C#, stored procedures) through code reviews, existing test suites and AI-powered discovery.
• Excellent communication and presentation skills; ability to collaborate across functional areas and translate technical topics into business language.
• Design and implement secure application architectures following secure SDLC practices.
• Identify and remediate vulnerabilities using OWASP Top 10 guidelines.
• Implement authentication and authorization mechanisms (OAuth2, OpenID Connect, SSO, RBAC).
• Ensure API security (rate limiting, token validation, input validation, protection against injection attacks).
• Monitor and respond to security incidents and vulnerabilities.

Nice to have

• Bachelor's or master's degree in computer science, engineering or related field.
• Experience migrating monolithic applications to microservices using DDD.
• Familiarity with healthcare or payment processing domains.
• Understanding of US healthcare workflows (claims, eligibility, EHR systems).
• Ensure compliance with HIPAA regulations.
• Knowledge of event-driven architecture, messaging systems (e.g., Azure Service Bus), and container orchestration (Kubernetes/AKS).
• Experience using generative AI for code generation and documentation.

Details

• Location: Bangalore, India.
• Reports to Development Manager.
• Flexible work environment.