Software Engineer API Hub

As a Software Engineer - API Hub at SmartBear, your primary responsibilities include developing the primary Pactflow platform in collaboration with other engineers, UX designers, and product managers. You will also implement new functionalities, participate in design and code reviews, and maintain documentation necessary for the development process. Emphasizing quality, you will utilize TDD or BDD practices to ensure robust software delivery alongside your peers.

To qualify for the Software Engineer - API Hub role at SmartBear, you should have a minimum of 5 years of experience working with Python, preferably in an Agile and TDD environment. Familiarity with Rust, AWS technologies, and a good understanding of continuous delivery processes are important. If you have experience with popular AI technologies and a keen interest in contributing to open-source communities, that would be a plus.

At SmartBear, the work culture is collaborative and inclusive. As a Software Engineer - API Hub, you’ll be part of a team that values learning, professional growth, and community collaboration. The company promotes a hybrid work setup, allowing for flexibility between home and office workspaces. Additionally, SmartBear recognizes the importance of celebrating differences and creating a supportive work environment where everyone feels valued.

SmartBear prioritizes the career development of its Software Engineers - API Hub through ongoing training and learning opportunities. The company encourages its engineers to hone their skills, work collaboratively on challenging projects, and contribute to the open-source community, which can all enhance your professional growth. Moreover, they celebrate successes and provide a work environment that promotes well-being and work-life balance.

A Software Engineer - API Hub at SmartBear should be proficient in Python and have experience with Rust and AWS technologies. Additional knowledge of TDD practices, common testing tools like Pytest and Mypy, as well as some familiarity with AI technologies such as OpenAI and LangChain, will also be beneficial. This diverse technology stack will enable you to develop and support a robust API testing solution.

When answering this question, highlight specific projects where you implemented TDD practices. Discuss the benefits of TDD, such as catching bugs early and improving code reliability. Provide examples of how your TDD approach has led to higher-quality outcomes in your previous work, particularly highlighting usage in Python.

For this question, emphasize your communication skills and ability to work within cross-functional teams. Talk about how you've effectively gathered requirements and integrated feedback from UX designers and product managers to drive successful project outcomes, demonstrating your collaborative mindset.

Explain the steps you take during debugging, such as isolating components, checking logs, and using testing tools. Provide examples of specific challenges you faced in microservices environments and how your approach helped resolve those issues effectively.

In your response, outline the project goals, your contributions, the technologies used, and the impact made on the community. This shows your commitment to collaborative development and willingness to give back, both essential at SmartBear.

Share personal challenges you’ve faced that relate to the role, and highlight your problem-solving strategies. For instance, discuss balancing feature delivery with code quality and how you’ve adapted to maintain team expectations while delivering impactful software.

Discuss coding standards you adhere to, such as naming conventions, code comments, and structure. You may also reference specific tools you use for code linting or analysis, which help keep your codebase clean and maintainable.

Share your regular habits for professional growth, such as reading industry blogs, attending workshops, or participating in online courses and webinars. This demonstrates your passion for staying informed and how it translates to your work as a Software Engineer at SmartBear.

Talk about your learning methodology, whether through hands-on practice, online courses, or community engagement. Share examples of technologies you’ve recently learned and how you applied them to projects to demonstrate practical understanding and adaptability.

Detail your hands-on experience with AWS services relevant to your projects, such as EC2, Lambda, or S3. Discuss how you utilized these services to improve application performance or manage infrastructure, showcasing your technical expertise.

Discuss the principles of contract testing, including the importance of capturing both provider and consumer expectations. Provide insights into methodologies you've employed in creating effective contract tests and the tools that facilitate this process.