Senior Software Engineer, Risk Engineering

As a Senior Software Engineer at Flex, you'll be responsible for developing and maintaining our risk and underwriting back-end systems. Your key responsibilities include designing services and data models, leading projects end-to-end, mentoring junior engineers, and contributing to the overall technical architecture by leveraging your advanced skills in Python, SQL, and NodeJS+Typescript. Your expertise will play a crucial role in ensuring that our financial products remain reliable and scalable, ultimately helping business owners maximize their potential.

To qualify for the Senior Software Engineer position at Flex, you should have a minimum of four years of relevant experience in software development, specifically with proficiency in Python, SQL, and NodeJS+Typescript. A solid understanding of architectural patterns for scalable systems, as well as experience with cloud services such as Google Cloud, AWS, or Azure, is also essential. Strong communication skills and the ability to evaluate technical directions are important for guiding project decisions and collaborating with the team.

At Flex, the company culture is one of collaboration, diversity, and continuous learning. As a Senior Software Engineer, you'll be part of a nimble team that values passion and determination. We encourage our engineers to take ownership of their projects while also providing opportunities for mentorship and knowledge sharing. We're committed to fostering an environment where unique skills and different career paths are celebrated, believing that diversity drives our overall success.

Flex actively supports the growth of Senior Software Engineers through mentorship programs, access to the latest technology trends, and opportunities to lead projects. Your technical skills will be further developed as you work on complex challenges, drive best-in-class technology frameworks, and make impactful decisions that shape the company's future. Additionally, we’re committed to helping you grow your career within a collaborative and inspiring environment.

The interview process for the Senior Software Engineer role at Flex typically involves multiple stages, including an initial screening, technical assessments, and behavioral interviews. You'll have the opportunity to showcase your technical skills and discuss your previous experience in software development. We're interested in understanding your problem-solving approach, coding proficiency, and how you communicate with teammates. Expect questions that assess your understanding of scalable systems and your ability to drive innovative solutions.

When answering this question, highlight specific projects where you utilized Python to build scalable solutions. Discuss frameworks or libraries you've leveraged, emphasizing how they contributed to system performance and maintenance. Showcase your understanding of Python's strengths in handling large datasets and asynchronous processing.

Outline your process for diagnosing issues, including gathering data, collaborating with team members, and implementing iterative solutions. Use examples from past experiences to illustrate your analytical thinking and collaboration skills, demonstrating how you engage with your team to achieve the best outcomes.

Discuss your familiarity with various architectural patterns such as microservices and serverless architectures. Explain the benefits and challenges you've encountered with each approach, and articulate how you've chosen specific patterns based on project requirements and team capabilities.

Provide details about a specific project where you integrated Machine Learning. Discuss the problem it solved, the data you used, the algorithms selected, and the outcome. Emphasize your role in the project and any innovative approaches you took to enhance performance and reliability.

Talk about your commitment to code quality through practices like code reviews, unit testing, and adhering to best practices. Mention how you instill this mindset in team members and promote a culture of continuous improvement.

Share your experience with cloud platforms like AWS, Google Cloud, or Azure for deploying applications. Discuss specific tools you've used for CI/CD, monitoring, and scaling, explaining how they contributed to streamlined and effective deployment processes.

Explain your strategies for staying informed about technology trends, such as reading industry blogs, participating in webinars, and attending conferences. Highlight how you apply this knowledge to your work, ensuring that you and your team leverage new tools and frameworks that can enhance productivity and innovation.

Provide a concrete example where you analyzed data to make a critical decision for a project. Explain the data sources you utilized, the analysis you conducted, and the outcome of your decision. This will highlight your ability to integrate data into the decision-making process effectively.

Discuss how you assess the impact and feasibility of project features based on user needs and business goals. Explain your approach to prioritization in collaboration with stakeholders, including weighing trade-offs and adjusting priorities based on project progress and feedback.

Detail your approach to fostering effective communication within the team, emphasizing the importance of regular check-ins, using collaborative tools, and creating a culture of openness. Discuss how clear communication has contributed to project success and team cohesion.