Staff Engineer - Data Platforms

As the Staff Engineer - Data Platforms at IV.AI, your primary responsibilities will include leading the technical direction of the data platform, implementing best practices in modeling and API design, and mentoring engineering team members. You'll also collaborate with product and data science teams, participate in technical discussions, and design core platform services that support essential business systems.

To qualify for the Staff Engineer - Data Platforms position at IV.AI, candidates must have at least 3 years of experience in software engineering, demonstrating full-stack development skills, with a focus on TypeScript or Python. Additionally, having at least 1 year of direct management experience is essential for leading the team effectively in this role.

While the Staff Engineer - Data Platforms role at IV.AI is not specifically a machine learning position, candidates should have a keen interest in the NLP and machine learning space. The ability to engage with these fields may enhance your contributions to the team and projects.

IV.AI is committed to fostering a culture of continuous learning and collaboration. As a Staff Engineer - Data Platforms, you will have the opportunity to mentor and support other engineering team members, participate in technical discussions, and engage in strategic planning, all of which contribute to your professional development.

At IV.AI, the work culture is collaborative, innovative, and focused on excellence. As a Staff Engineer - Data Platforms, you will work closely with various teams including product and data science, promoting joint efforts to align technical capabilities with business objectives while nurturing a supportive environment for all engineers.

In your response, highlight specific projects where you utilized skills in both front-end and back-end development. Clarify your experience with technologies like TypeScript or Python, and demonstrate your ability to manage projects from conception through execution.

Discuss standards like RESTful design principles, versioning, and documentation. Give examples of successful API integrations you've led, emphasizing how they improved collaboration and functionality within teams.

Share your approach to mentoring, such as regular one-on-one meetings to discuss challenges, pair programming sessions to enhance skills, and fostering a culture of open feedback that encourages growth and technical excellence.

Outline a specific project, detailing your role, the collaboration between different teams, and how you navigated challenges. Focus on your communication strategies and how you ensured alignment between technical and business objectives.

Explain your decision-making process, including factors you consider like immediate needs versus future scalability. Use an example to illustrate how you've successfully balanced these elements in previous projects.

Discuss various solutions such as microservices architecture, caching strategies, or horizontal scaling. Illustrate how you've implemented these strategies in the past to support growing user demands.

Share your favorite resources, such as industry publications, online courses, or professional groups. Highlight how you apply this knowledge to improve your work and influence your team's practices.

Identify specific tools you have experience with, such as cloud services, deployment pipelines, or monitoring solutions. Explain how you've utilized these tools to streamline operations and enhance system reliability.

Discuss code organization strategies, clear documentation, and the importance of writing for collaboration. Share an example of how these practices have facilitated teamwork and reduced technical debt.

Reflect on IV.AI’s mission, culture, or projects that resonate with you. Emphasize how your background aligns with the company’s goals and how you see yourself contributing to their amazing data platform.