What are the responsibilities and job description for the Software Engineer II position at Meazure Learning?
Job Description: Software Engineer II
Responsibilities
Responsibilities
- Design, develop, and implement software applications using Python, Go, C#, .NET, JavaScript, TypeScript, Angular, HTML, CSS, and other technologies.
- Design and build advanced cloud and web applications employing the Agile/Scrum methodology.
- Design, develop, test, and maintain innovative customer-facing software products encompassing a highly intuitive user experience.
- Write clean, efficient, and well-documented code.
- Debug and troubleshoot software issues.
- Contribute to an Agile team that solves complex challenges and builds quality software on a regular basis.
- Ensure the quality of the products by conducting design and coding reviews of assignments distributed across multiple developers.
- Evaluate new technologies and third-party products to include in Meazure Learning’s offerings and improve systems engineering capabilities.
- Create an accessible site that allows for solutions to be adaptable in multiple delivery platforms.
- Collaborate with cross-functional teams to identify and resolve software defects.
- Participate in code reviews and provide constructive feedback to other team members.
- Stay up to date with emerging trends and technologies in software engineering.
- Develop and maintain technical documentation.
- Work with project managers and team members to groom, clarify and estimate stories.
- Master’s or equivalent degree in computer science or related technical field and 2 years of relevant software development experience.
- Experience must include:
- Software development using Go, Python, C#, .NET, Angular, HTML, CSS, TypeScript, and JavaScript.
- FastAPI web framework and SQL toolkit including SqlAlchemy.
- Cloud Computing services such as AWS and Azure.
- Version control concepts and best practices.
- Database design and management for relational and non-relational dbs including SQL Server, PostgreSQL, MongoDB, and DynamoDB.
- Message and task queue tools including Nats and Celery.
- Unit test frameworks including Pytest and Jest.
- Microservices architecture and design patterns.
- Containerization technologies such as Docker, AWS ECS, and Fargate.
- Serverless technologies, such as CloudFront, S3, API Gateway, AWS Lambda, Load Balancer.