Full Stack Software Engineer - TS/SCI w/Poly

As a Full Stack Software Engineer at our company, your main responsibilities will include designing, developing, testing, and deploying scalable software solutions. You will collaborate with cross-functional teams to gather and prioritize project requirements, participate in code reviews, and troubleshoot issues to optimize performance. Your role will also involve implementing data models to ensure data consistency and integrity, as well as staying up-to-date with emerging technologies.

To apply for the Full Stack Software Engineer position at our company, you should possess a Bachelor’s Degree in Computer Science or a related discipline, or have equivalent experience. Ideally, you should have 5+ years of software development experience, with at least 3 years focused on the MEAN stack. Proficiency in JavaScript, HTML, CSS, and strong knowledge of ElasticSearch are essential, along with experience in API integrations and a solid understanding of data modeling concepts.

In the Full Stack Software Engineer role at our company, you will primarily work with the MEAN stack, which includes MongoDB, Express, Angular, and Node.js. Additionally, your work will involve strong integration with ElasticSearch. Familiarity with cloud platforms like AWS, containerization using Docker, and CI/CD tools such as Jenkins or CircleCI will also be beneficial in this role.

Our company values professional growth and offers training reimbursement for approved education expenses to support our Full Stack Software Engineers. We encourage our engineers to pursue training and workshops that enrich their skills and keep them up-to-date with the latest industry standards and advancements.

As a Full Stack Software Engineer at our company, you can expect a comprehensive benefits package, including 5 weeks of paid vacation, 100% employer-paid health benefits, a 6% 401k contribution, and other perks like an annual $1500 employer HSA contribution on qualified health plans. We pride ourselves on providing a supportive work environment that fosters work-life balance.

When answering this question, provide specific examples of projects you've completed using each component of the MEAN stack (MongoDB, Express, Angular, Node.js). Discuss your role in these projects and any challenges you faced, as well as how you approached and overcame them, demonstrating your problem-solving skills.

In your response, outline the tools and techniques you typically use for debugging, such as logging, testing, or using specific debugging tools. Provide examples of past experiences where your debugging strategies helped resolve complex issues, emphasizing your analytical skills and persistence.

Describe your process for assessing application needs before designing data models. Discuss how you ensure data consistency and integrity and mention any specific tools or methodologies you use. Use examples of how you've designed data models for previous projects to illustrate your approach.

Provide a detailed overview of your experience with ElasticSearch, including specifics about indexing, querying, and aggregation. Discuss how you've utilized ElasticSearch in past projects, highlighting any performance improvements or efficiencies gained due to its implementation.

Talk about the importance of code quality and best practices in software development. Mention your experience with code reviews, unit testing, and documentation. Provide examples of how you incorporate feedback and learning from peers to enhance your coding standards.

Highlight your experience working with various third-party APIs, focusing on the integration process. Provide examples of challenges faced during integration and how you effectively resolved them. This showcases your problem-solving abilities and technical skills.

Discuss the collaborative aspects of your previous projects, emphasizing the importance of communication and cooperation within development teams. Use examples of successful team-based outcomes to illustrate how your collaborative mindset has led to better project results.

Choose a project that presented difficulties and share the specific challenges faced. Focus on your contributions and how your skills helped navigate these challenges, emphasizing your resilience and innovative thinking throughout the project.

If applicable, detail your experience with AWS, specifying any services you have used (such as EC2 or S3). Share relevant projects where you have implemented cloud solutions, discussing the advantages of using cloud services in those scenarios.

Talk about your experience with Git workflows and specific collaboration tools like GitHub or Bitbucket. Explain how you utilize branching strategies and pull requests to enhance team collaboration and code quality.