Software Engineer II (Python + Dot Net+ AI)

KEY ACCOUNTABILITIES

• Collaborate with engineers, architects, product partners, and business stakeholders to design and deliver business-value-driven software solutions.
• Translate application storyboards and use cases into functional, scalable applications using the .NET technology stack and modern web frameworks.
• Ensure code follows current engineering standards, testing practices, and maintainability expectations.
• Write unit and integration tests and contribute to automation that improves delivery quality and team efficiency.
• Optimize application performance, quality, responsiveness, and reliability across the software lifecycle.
• Troubleshoot, debug, and resolve production and application issues with strong ownership and problem-solving skills.
• Contribute to technical design reviews, code reviews, work planning, estimation, and implementation activities across projects.
• Support the adoption of modern engineering practices, emerging technologies, and knowledge-sharing across the team.
• Build strong working relationships and mentor less experienced team members through collaboration, informal coaching, and technical guidance.

MINIMUM QUALIFICATIONS

• Bachelors degree from an accredited university.
• Strong system-level knowledge for building end-to-end applications using the .NET Full Stack, including C#, ASP.NET MVC/Blazor, ASP.NET Core, and RESTful Api’s.
• Experience with modern JavaScript frameworks such as React/Angular/Vue, or similar technologies.
• Experience designing, developing, testing, troubleshooting, and maintaining scalable applications across multiple layers of the software stack.
• Experience with DevOps concepts and tools, including continuous integration and continuous delivery practices, containers, and source control workflows.
• Experience with database systems and strong working knowledge of SQL and NoSQL platforms.
• Ability to write effective unit, integration, and automation tests and to identify and resolve application performance issues.
• Strong understanding of agile ways of working, including sprint planning, task estimation, and iterative delivery.
• Strong communication skills with the ability to explain technical concepts clearly and work effectively with business and technical stakeholders.
• Demonstrated ownership, initiative, and problem-solving ability across multiple tasks and project responsibilities.

PREFERRED QUALIFICATIONS

• Degree in computer science or a related technical discipline.
• Experience with other technologies like cloud technologies-Python/Next JS, AI Agentic Development and Tableau is beneficial.
• Experience with cloud technologies such as GCP or Microsoft Azure.Experience with Python or data and integration technologies.
• Experience with modern DevOps tooling such as GitHub Actions or container-based deployment practices.
• Experience contributing to medium to large projects and becoming a go-to technical resource for a team or business group.
• Passion for emerging technologies, experimentation, and continuous learning.
• Agile/Digital Experience: Strong understanding of Agile methodologies and experience with task/sprint estimation.