Software Engineer, Analytics & AI

As a Software Engineer, Analytics & AI at Keyfactor, your primary responsibilities will include designing, developing, and maintaining software applications. You'll implement new features, resolve bugs, and participate in pull requests and code reviews, ensuring that you adhere to coding standards. You'll work closely with fellow team members to tackle technical challenges, engage in Agile ceremonies, and assist in identifying and resolving software issues.

To qualify for the Software Engineer, Analytics & AI role at Keyfactor, candidates are required to have a Bachelor’s degree in Computer Science, Engineering, or a related field. Additionally, 2-4 years of experience in software engineering is essential. You should exhibit excellent analytical, communication, and project management skills, alongside proficiency in software development and debugging.

Keyfactor supports the professional development of its Software Engineers through a range of initiatives. This includes monthly talent development meetings, cross-functional collaboration opportunities, and challenging projects that encourage creative problem-solving. Additionally, Keyfactor organizes regular All Hands meetings where employees can share insights and gather feedback, fostering a culture of continuous improvement and learning.

At Keyfactor, a Software Engineer can expect a collaborative, inclusive, and remote-friendly work environment. The company nurtures an entrepreneurial atmosphere that blends autonomy with structured support, allowing for innovation and creativity. With a focus on teamwork and mutual respect, you'll find yourself part of a culture that values trust, diversity, and a commitment to achieving common goals.

For the Software Engineer, Analytics & AI position at Keyfactor, there is minimal travel involved, typically requiring up to 5% of your time. This ensures that team members can primarily focus on their remote responsibilities while still being engaged and connected during occasional in-person collaborative events or meetings.

When answering this question, detail the projects you've worked on collaboratively, highlighting your specific contributions. Discuss how you communicated with your team, engaged in code reviews, and resolved conflicts or challenges together. Emphasize your adaptability and teamwork skills, making sure to mention any Agile methodologies you've practiced.

Explain your systematic approach to debugging by breaking down complex problems into manageable parts. Mention tools or techniques you use for tracking down bugs, and share a specific example where you successfully diagnosed and resolved an issue. This shows your analytical thinking and problem-solving abilities, which are crucial for the Software Engineer role at Keyfactor.

Discuss your method for feature implementation, from gathering requirements and understanding user needs to designing, coding, testing, and deploying the feature. Highlight your familiarity with version control and Agile practices, as well as any collaborative tools you use to ensure quality throughout the process.

Answer by illustrating your understanding of Machine Learning applications within cybersecurity contexts, such as anomaly detection, predictive analysis, or automating compliance checks. Show your enthusiasm for how these technologies enhance security measures and how you aim to contribute to Keyfactor's AI strategy.

Outline a specific project where you took charge, detailing your leadership role, the objectives, and the outcome. Discuss how you motivated team members, managed timelines, and handled any unexpected challenges. This showcases your leadership and project management skills, crucial for advancing at Keyfactor.

When discussing coding standards, highlight your commitment to clarity, maintainability, and consistency. Talk about any specific guidelines you've adhered to, such as the use of comments, consistent naming conventions, or a preference for certain design patterns. This will show your focus on producing quality code at Keyfactor.

Mention the various channels you use to keep abreast of current technologies and trends, such as online courses, tech blogs, webinars, or attending conferences. This demonstrates your proactive attitude toward professional growth, which is important for a role at Keyfactor.

Make sure to explain your understanding of Agile principles, articulate your involvement in sprints, stand-ups, and retrospectives, and provide examples of how you've adapted to changing requirements. This showcases your familiarity with the Agile framework, which is critical for success at Keyfactor.

Discuss a relevant project where you worked alongside different teams, such as Quality Assurance or Product Management. Emphasize the communication strategies and collaboration tools you used to bridge gaps and drive project success, showcasing your teamwork and interpersonal skills.

Articulate your passion for data and analytics, explaining how you enjoy uncovering insights that can drive product improvements and customer satisfaction. Discuss how this aligns with Keyfactor's mission to establish trust and how you see analytics as a vital part of software development.