Platform Engineer

As a Platform Engineer at Eve, you will design and implement scalable infrastructure, develop efficient data pipelines for AI/ML applications, and enhance system performance. Your role will include collaborating with cross-functional teams to improve developer productivity and addressing novel infrastructure challenges in the legal tech space.

To qualify for the Platform Engineer role at Eve, you should hold a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. We are also looking for candidates with proven experience in scalable infrastructure, specifically for AI/ML applications, along with a strong understanding of cloud technologies.

Eve offers a collaborative and innovative work environment for its Platform Engineers. You'll be part of a small, talent-dense team that embraces a hybrid work model, allowing flexibility while fostering creativity through in-person collaboration days at our San Mateo office.

At Eve, we value continuous learning and professional growth. We provide opportunities for our Platform Engineers to pursue professional development initiatives, engage in meaningful projects, and collaborate with industry experts, enriching their skills and expertise in the legal tech field.

Platform Engineers at Eve will engage in exciting projects like building scalable infrastructure to host AI applications, optimizing system performance for large-scale operations, and creating data pipelines that facilitate seamless machine learning processes in the legal industry.

Eve offers an attractive benefits package for its Platform Engineers, which includes a competitive salary, a 401(k) with company match, comprehensive health, dental, and vision insurance, unlimited PTO for work-life balance, and a monthly lunch stipend to keep the energy up!

The Platform Engineer role at Eve stands out due to its commitment to pioneering AI applications in the legal sector. You’ll work closely with a diverse team of experts, directly impacting the future of legal tech, all while enjoying a workplace that prioritizes innovation and creativity.

To respond effectively, share a specific project where you designed a scalable infrastructure, detailing the challenges faced, the technologies used, and the outcomes achieved. This will demonstrate your understanding of scalability and your ability to handle real-world challenges.

Explain your approach to performance optimization by discussing your understanding of resource management, load balancing techniques, and how you measure performance metrics. Include examples of tools or methods you've used to successfully enhance system performance.

Provide an overview of a data pipeline you've designed or managed, focusing on the technologies involved, the processes implemented, and how it facilitated machine learning workflows. This showcases your technical skills and your ability to think critically about data management.

Share an example of a time you successfully collaborated with different teams, emphasizing communication, problem-solving skills, and your results. This demonstrates your ability to work in a team-oriented environment, which is crucial at Eve.

Discuss specific cloud platforms you've worked with (such as AWS, Azure, or Google Cloud) and the projects you've completed. Highlight your understanding of cloud architecture and how it relates to building scalable infrastructure for AI applications.

Describe practices such as load testing, monitoring metrics, and employing redundancy strategies that you utilize to maintain reliability and scalability in infrastructure. Your answer should reflect your proactive approach to potential issues.

Narrate a specific situational challenge related to platform engineering, outlining the problem, your approach to resolving it, and the eventual outcome. Focus on your problem-solving skills and ability to adapt to challenging situations.

Detail specific tools or frameworks you are familiar with, such as Apache Kafka, Apache Spark, or others. Discuss any hands-on experiences that highlight your ability to implement these tools and the impact they had on your projects.

Share your experience working with machine learning models and the infrastructure needed to support them. Highlight your understanding of the end-to-end process from data ingestion to model deployment, showcasing your technical expertise.

Express your enthusiasm for Eve's mission of transforming the legal industry and how your values align with the company's vision. Discuss specific aspects of the company's culture, projects, or technology that excite you and how you see yourself contributing.