Software Engineer III- Eng (.Net + AI)

RESPONSIBILITIES

• Software Development: Write clean, maintainable, and efficient code for various software applications and systems.
• Technical Leadership: Contribute to the design, development, and deployment of complex software applications and systems, ensuring they meet high standards of quality and performance.
• Project Management: Manage execution and delivery of features and projects, negotiating project priorities and deadlines, ensuring successful and timely completion with quality.
• Architectural Design: Participate in design reviews with peers and stakeholders and in the architectural design of new features and systems, ensuring scalability, reliability, and maintainability.
• Code Review: Diligently review code developed by other engineers; provide feedback and maintain a high bar of technical excellence ensuring adherence to coding guidelines, observability, and unit test coverage.
• Testing: Build testable software, define tests, participate in the testing process, automate tests using tools (e.g., JUnit, Selenium, Pytest) and design patterns leveraging the test automation pyramid.
• Service Health and Quality: Maintain the health and quality of services and incidents, proactively identifying and resolving issues. Utilize service health indicators and telemetry; conduct root cause analysis and drive preventive measures.
• DevOps Model: Take full ownership from requirements through design, develop, test, deploy, and maintain in a DevOps model.
• AI Feature Ownership: Design, build, and integrate AI/ML capabilities into production software systems; evaluate AI architectural tradeoffs and select appropriate approaches for given product features and use cases.
• Documentation: Properly document new features, enhancements, or fixes to the product, contributing to training materials.
• Mentorship: Guide and mentor P1/P2 engineers on engineering best practices, design thinking, and effective use of AI-augmented development workflows.

MINIMUM QUALIFICATIONS

• Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• 4+ years of professional software development experience.
• Deep expertise in one or more programming languages such as C#, .NET and JavaScript.
• Extensive experience with software development practices and design patterns.
• Proficiency with version control systems (e.g., GitHub) and work tracking systems (e.g., JIRA).
• Understanding of cloud technologies and DevOps principles.
• Hands-on experience designing, building, or integrating AI/ML capabilities into production software systems; ability to evaluate AI architectural tradeoffs and select appropriate approaches for product use cases.
• Proficient use of AI-assisted development tools (e.g., Claude, GitHub Copilot, Cursor) to accelerate design, implementation, and code review cycles; ability to validate and improve AI-generated outputs against quality, security, and performance standards.
• Experience with prompt engineering techniques applied to real product features, customer-facing experiences, or engineering tooling.

PREFERRED QUALIFICATIONS

• Experience with cloud platforms like Azure, AWS, or GCP.
• Familiarity with CI/CD pipelines and automation tools.
• Experience with test automation frameworks and tools.
• Knowledge of agile development methodologies.
• Familiarity with developing accessible technologies.
• Excellent communication and interpersonal skills.

Company Overview