Full Stack Platform Engineer - AWS

As a Full Stack Platform Engineer at GDIT, you will be responsible for designing, developing, and testing features across all layers of our platform stack, focusing on cloud hosting using AWS. Your duties will include collaborating with team members during scrum activities, implementing APIs and services, and maintaining CI/CD pipelines. Additionally, you will be involved in enhancing the developer experience and documenting processes to ensure effective communication and knowledge sharing within the team.

To qualify for the Full Stack Platform Engineer role at GDIT, candidates should possess 8+ years of relevant experience, preferably in cloud development and hosting platforms. A strong background in TypeScript, microservices architecture, and AWS infrastructure services is essential. Successful candidates will also have practical knowledge of CI/CD processes, version control systems like Git, and experience with databases such as MongoDB and AWS DynamoDB.

Yes! The Full Stack Platform Engineer position at GDIT is primarily remote, allowing you to work from your home office in Maryland. However, there is a requirement to be onsite in Rockville, MD at least once a week, offering the best of both worlds between remote flexibility and collaborative face-to-face interactions with your team.

In this role, you will work with a variety of technologies, including AWS services (like ECS, SQS, and Lambda), Typescript, Angular, NodeJS, and Docker for containerization. You will also use infrastructure as code tools like Terraform, along with SQL and NoSQL databases such as MongoDB and AWS DynamoDB, providing a well-rounded experience across the technology stack.

Absolutely! GDIT is committed to the professional growth of its employees. As a Full Stack Platform Engineer, you’ll have access to comprehensive health benefits, a supportive internal mobility team, and opportunities for paid education and certifications. The company encourages a culture of continuous learning and sharing knowledge, enabling you to develop your skills and advance your career.

When answering this question, focus on your hands-on experience with AWS services and other cloud platforms. Highlight specific projects where you've utilized cloud technologies to build and deploy applications. Refer to your familiarity with services like AWS ECS or Lambda, and detail how you've integrated these into your development process.

You can discuss the practices you follow for writing clean code, such as following coding standards and regularly performing code reviews. Mention your use of version control systems like Git for tracking changes and implementing CI/CD pipelines to automate testing and deployments, ensuring quality throughout the software development lifecycle.

Provide examples of projects where you've implemented microservices architecture. Discuss how you broke down monolithic applications into microservices, the benefits you observed, and the challenges you faced. Be specific about the tools you used, such as Moleculer JS, and how microservices improved the scalability and reliability of your applications.

Outline your systematic approach to debugging, starting from identifying the problem area to diagnosing and fixing the issue. Talk about the tools you use for monitoring applications, like DataDog or AWS CloudWatch, and how you leverage logs to trace issues. Emphasize maintaining clear documentation to facilitate troubleshooting in the future.

Illustrate how you've worked within Agile teams by discussing your participation in scrum ceremonies like sprint planning, retrospectives, and daily stand-ups. Share how these practices improved your team’s collaboration and delivery of features, and bring examples of how you've adapted to feedback throughout the sprint to enhance the product.

Explain the important considerations such as defining clear endpoints, ensuring resource-based architecture, proper HTTP status codes, and documentation. Discuss your understanding of API security and the importance of rate limiting and authentication. An example of an API you've designed can help illustrate your thought process and practical application.

Demonstrate your commitment to continuous learning by mentioning specific resources you follow, such as tech blogs, webinars, or online courses. You can also discuss your participation in local tech meetups or forums, and how you apply newly gained knowledge to your projects at GDIT.

Clarify the critical role that version control plays in collaboration and project management. Discuss your experience with Git, touching on branching strategies, pull requests, and merge conflicts, and how you collaborate with teammates to ensure code stability and progress.

Discuss your experience with Docker and how it simplifies dependency management and allows for consistent environments across development and production. Highlight the benefits of isolating applications, reducing deployment issues, and how it integrates with your CI/CD workflow to streamline deployments.

Share your experience with both SQL and NoSQL databases, discussing specific use cases for each. Detail considerations such as data structure, scalability requirements, and performance when choosing the appropriate database type for a given application. Highlight your experience with databases like MongoDB and AWS DynamoDB in your projects.