Senior Full Stack Engineer - Architecture Team

About Rethink First

Rethink First is a leading behavioral health technology company working to make mental wellness, education, and support accessible and scalable. Through our suite of cloud-based platforms—including Rethink Ed, Rethink Care, and Rethink

BH—we serve educators, employers, and providers with tools that deliver measurable, inclusive outcomes.

We’re on a mission to make behavioral health more effective, equitable, and human—and we’re looking for a creative visionary to help lead that charge.

We are seeking a Senior Full Stack Engineer to join our Architecture Team. This role is ideal for an experienced engineer who thrives at the intersection of hands-on coding and strategic architecture. You will help shape technical direction, champion best practices, mentor other developers, and ensure our systems are scalable, secure, and reliable. This position requires deep expertise in Microsoft technologies (C#, .NET,

SQL, Azure), strong knowledge of modern software design, and the ability to translate business needs into effective technical solutions.

• Contribute to architectural design, ensuring alignment with scalability, performance, security, and compliance standards.
• Develop, design, test, and deploy cloud-based applications using C#, .NET Core, SQL, Azure, and Angular.
• Establish and enforce coding standards, design patterns (SOLID, DDD, CQRS, etc.), and development methodologies (Agile, CI/CD, Dev Ops).
• Write, review, and maintain high-quality code with strong emphasis on unit testing (XUnit/NUnit), integration testing, and automated pipelines.
• Mentor and coach engineers across teams, promoting continuous learning and knowledge sharing.
• Collaborate with cross-functional stakeholders to translate requirements into technical designs and solutions.
• Drive adoption of best practices in Dev Ops, microservices, containerization (Docker), messaging (Service Bus), caching (Redis), and observability (App Insights, logging, monitoring).
• Participate in architectural reviews, code reviews, and design discussions.
• Contribute to long-term platform strategy, modernization, and cloud migration initiatives.
• Troubleshoot production issues and guide root cause analysis to ensure system reliability.

Education/Experience

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 8+ years of professional software development experience, with at least 3+ years in a senior or lead role.
• Proven experience designing and implementing enterprise-scale applications on the Microsoft stack (C#, .NET Core/Framework, Entity Framework, SQL Server, Azure).

• Strong expertise in object-oriented design, design patterns, SOLID principles, domain-driven design, and event-driven design.
• Experience with C#, Angular, Type Script, HTML, CSS, JavaScript and Python.
• Strong SQL skills including query optimization, schema design, and stored procedures.
• Cloud-native development in Microsoft Azure:
  App Services, Functions, Service Bus, Storage, Key Vault, Azure SQL, and monitoring tools.
• Familiarity with microservices architecture, RESTful APIs, and event-driven systems.
• Hands-on experience with CI/CD pipelines, Azure Dev Ops, Git, Docker, and Infrastructure as Code (Terraform/ARM).
• Experience implementing unit testing frameworks (XUnit, NUnit, Moq), automated testing, and test-driven development (TDD/BDD).
• Knowledge of healthcare domain standards (HIPAA, HITRUST, SOC2) is a strong plus.

• Demonstrated ability to mentor and grow engineering talent, fostering collaboration and knowledge sharing.
• Excellent problem-solving, communication, and leadership skills.
• Strong adaptability in a fast-paced, evolving environment.
• A passion for innovation, continuous learning, and delivering high-quality products.

Candidates with experience designing, developing, or integrating AI-driven systems will have an advantage. This includes experience with:

• Building or integrating AI agentic systems for automation, decision-making, or intelligent workflows.
• Leveraging large language models (LLMs), vector databases, or machine learning…