• Being a contributor to our Python application powering our computers that execute climate control algorithms and process live data from sensor networks in buildings • Writing multithreaded Python code that enables to process inputs and execute algorithms that make decisions on the next action to perform • Writing code that efficiently and intelligently processes billions of data points per year

• Help design, implement, and maintain systems that update regulatory data across multiple healthcare revenue cycle management products • Write clean, maintainable C# code for backend services and data processing systems • Develop importers (.NET) and custom SQL scripts to efficiently transform and ingest data from multiple sources • Build tools for automated data validation and extraction from diverse structured and unstructured sources • Support work on legacy systems and assist with transitions to new architectures or cloud environments • Participate in code reviews and pull requests to maintain coding standards • Collaborate with engineers, analysts, and AI specialists on system design and problem-solving

• Help modernize a healthcare revenue cycle management platform used by major U.S. payers and employers • Identify and implement AI use cases that add real value in a high-impact healthcare product • Promote AI-assisted development best practices, ensuring effective and consistent use across the team • Design, develop, and maintain backend services and data processing systems in .NET • Implement AI-driven solutions for document processing, text generation, and other features • Identify opportunities to apply GenAI tools in daily development to improve code, documentation, and testing • Work with product owners, business analysts, and stakeholders to identify potential AI applications on the project • Mentor and guide team members in AI-assisted development practices • Apply software engineering best practices in testing, debugging, code reviews, documentation, and Agile workflows • Participate in technical discussions and knowledge-sharing sessions with the team

• Design, develop, and maintain RESTful APIs and microservices using Python • Architect secure, scalable, and high-performance backend applications • Integrate backend services with relational and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and DynamoDB • Write clean, efficient, testable code following best practices for performance, maintainability, and security • Design and deploy cloud-native applications using AWS services including EC2, Lambda, S3, RDS, DynamoDB, API Gateway, and IAM • Implement and maintain CI/CD pipelines using GitHub Actions, GitLab CI, or AWS CodePipeline • Set up monitoring, logging, and observability using CloudWatch, CloudTrail, and similar AWS tools • Collaborate on infrastructure automation using CloudFormation, Terraform, or similar IaC tools • Support Amazon Connect setups including contact flows, routing profiles, and queue configurations • Integrate Connect solutions with AWS services like Lex, Polly, and Lambda • Assist in migration projects from legacy contact center platforms to Amazon Connect • Contribute to frontend work (React/Angular/Vue) when needed and ensure smooth integration with backend APIs