Sr. Software Developer

Ensora Health•Washington, DC

About The Position

Ensora Health is the leading provider of software and services for mental and behavioral health therapists, trusted by over 200,000 individual providers and more than 28,000 practices. Our unmatched expertise, partnership, and breadth of products allow us to fine-tune solutions that meet the specific needs of everyone from solo practitioners to larger practices. With AI-enabled solutions that span practice management to electronic medical records and e-prescribing to billing, we help eliminate administrative complexity and create harmony between therapists, their clients, and the whole healthcare community. We are actively seeking a Senior Software Developer to join our dynamic team. This pivotal role revolves around the creation of information systems, involving a deep dive into operational analysis, software design and development, and software team support. We're on the lookout for individuals with a strong aptitude for Object-Oriented Programming and a knack for crafting software solutions that transcend specific technologies. We are seeking a highly skilled Senior Software Developer with strong expertise in .NET, C#, and MongoDB to design, develop, and maintain robust enterprise applications. The ideal candidate will have deep experience building scalable and resilient applications leveraging both NoSQL and relational databases, integrating APIs, and optimizing database performance. This position will be an integral part of a highly focused team building a robust practice management solution for mental health providers.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
8+ years of professional software development experience with a strong focus on .NET technologies.
Deep expertise in C# and .NET application development.
Strong experience working with MongoDB, including schema design, indexing, query optimization, and performance tuning.
Experience designing scalable, distributed, and maintainable enterprise applications.
Solid understanding of Object-Oriented Programming (OOP), SOLID principles, and modern software design patterns.
Experience working with Git, source control best practices, and CI/CD pipelines.
Strong analytical, troubleshooting, and problem-solving skills.
Ability to balance technical excellence with business outcomes and customer needs.

Nice To Haves

Experience with cloud platforms such as AWS or Azure.
Experience with containerization technologies including Docker and Kubernetes.
Experience building or supporting microservices-based architectures.
Front-end development experience using React (preferred) or Angular.
Experience with automated testing frameworks such as NUnit, xUnit, or MSTest.
Familiarity with AI-powered development tools for code generation, testing automation, documentation, or productivity enhancements.
Experience with Azure DevOps.
Healthcare technology or SaaS experience is a plus.

Responsibilities

Design, develop, test, and deploy enterprise applications using .NET (Core and Framework) and C#.
Build scalable, resilient, and high-performing solutions that support mission-critical healthcare workflows.
Partner with product managers, architects, and engineering peers to define and deliver innovative product capabilities.
Drive technical design discussions and contribute to architectural decisions that support long-term platform growth and scalability.
Design and optimize MongoDB data models, indexing strategies, and performance tuning solutions.
Champion engineering best practices, including clean code principles, automated testing, code reviews, and CI/CD excellence.
Collaborate within an Agile environment to rapidly deliver customer-focused enhancements and features.
Integrate third-party applications, APIs, and internal microservices to create seamless user experiences.
Proactively identify opportunities to modernize systems, reduce technical debt, and improve overall platform performance and reliability.
Leverage modern engineering tools, including AI-assisted development capabilities, to increase efficiency, code quality, and innovation.
Troubleshoot complex production issues, perform root cause analysis, and implement scalable long-term solutions.
Mentor junior engineers, share technical expertise, and foster a culture of continuous learning and improvement.
Contribute to the evolution of engineering standards, development frameworks, and architectural best practices across the organization.