Senior Software Engineer

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

In this role, you will design, develop, and support scalable backend systems, cloud infrastructure, and data platform capabilities that power AI/ML products and healthcare analytics solutions. You will collaborate with AI/ML engineers, data scientists, product teams, and clients to deploy machine learning models, LLM applications, and intelligent automation solutions into production. You will leverage modern cloud technologies, infrastructure-as-code practices, and AI-assisted development tools to deliver secure, reliable, and maintainable software while contributing to engineering standards, operational excellence, and continuous innovation.

• Design, develop, and maintain backend services, APIs, distributed systems, and platform components that support AI/ML applications and healthcare analytics solutions.
• Build and support cloud infrastructure, containerized environments, CI/CD pipelines, and deployment workflows using infrastructure-as-code frameworks.
• Develop data-intensive applications, data pipelines, and cloud-based data platforms that enable analytics, artificial intelligence, and machine learning initiatives.
• Collaborate with AI/ML engineers to deploy and support machine learning models, LLM applications, RAG pipelines, and agentic AI solutions in production environments.
• Leverage AI-assisted development tools to accelerate software delivery while ensuring code quality, security, maintainability, and reliability.
• Validate, test, and optimize software solutions, including AI-generated code, to ensure performance, scalability, and production readiness.
• Implement monitoring, logging, tracing, alerting, and operational support practices to improve system reliability and performance.
• Apply engineering standards for testing, security, scalability, cost efficiency, and software development best practices.
• Partner with product, data, platform, security, and business teams to deliver production-ready solutions and support technical design discussions.
• Mentor team members through code reviews, technical collaboration, and knowledge sharing.

• Relevant degree preferred.
• 5 or more years of relevant experience required.
• Strong Python or Java development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications required.
• Experience with AWS, Azure, GCP, or similar cloud platforms and infrastructure-as-code tools such as Pulumi or Terraform required.
• Experience building data-intensive applications, data platforms, data pipelines, ETL/ELT processes, or modern data engineering solutions highly preferred.
• Experience supporting machine learning systems, model serving, LLM applications, RAG workflows, agentic AI solutions, or related AI technologies highly preferred.
• Experience with containerization, Kubernetes, CI/CD pipelines, infrastructure automation, and cloud deployment practices preferred.
• Experience leveraging AI-assisted development tools and validating AI-generated code in production environments preferred.