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Job Summary:

In this role, you will contribute to the design and implementation of scalable, secure, and reliable cloud-based solutions across the full stack, from intuitive user interfaces built with Vue.js to robust backend services developed in TypeScript. You will work closely with cross-functional teams, and contribute to technical improvements that enhance both customer-facing features and core platform capabilities.

Duties and Responsibilities: 

As a Software Engineer II, you will:

• Embrace an AI-first mindset and integrate AI-driven workflows into everyday development practices.
• Engage in the design, development, testing, and maintenance of web applications with a focus on high performance, scalability, security, and reliability.
• Develop modern user interfaces using Vue.js, leveraging component-based architecture and reactive data models.
• Work extensively with TypeScript in building and maintaining backend services using Node.js, as well as in developing frontend applications.
• Identify areas for improvement in team agreements and workflows by working closely with peers and stakeholders.
• Actively contribute to team ceremonies, advocate for best practices, and maintain high standards with a strong focus on quality.
• Assist in improving technical documentation while ensuring accuracy, consistency, and accessibility.
• Take ownership and resolve high-priority technical issues, ensuring a swift and efficient resolution while identifying opportunities for improvement.

Minimum Qualifications:

• Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience
• Proficiency in multiple programming languages (TypeScript and Python preferred).
• Strong understanding of the interplay between front-end and back-end technologies in a fullstack environment.
• Experience working with highly available cloud-based microservices with a strong focus on non-functional requirements such as reliability, maintainability, and observability.
• Experience leveraging AI tools to accelerate design, implementation, testing, and documentation while maintaining high engineering standards.
• Familiarity with foundational AI concepts including large language models, prompt engineering, and applying AI tools in development workflows.

Preferred Qualifications:

• An understanding of component-based architecture and reactive data models.
• Hands-on experience designing, developing, and maintaining microservices with a focus on scalability and resilience.
• Experience working with infrastructure-as-code and deploying cloud-based resources using modern CI/CD workflows.
• Hands-on experience with containerization and orchestration using technologies like Docker, Kubernetes, and/or Serverless Containers.
• Experience working with telemetry data to support observability, monitoring, and debugging in production environments, ideally using Datadog.
• Familiarity with front-end frameworks and an understanding of component-based architecture and reactive data models.
• Experience with automation testing including unit, regression, and integration tests.