Forward Deployed Engineer

As a Forward Deployed Engineer at Parasail, your primary responsibilities include designing and deploying infrastructure solutions in collaboration with customers, troubleshooting and resolving issues in production environments, and relaying field insights to improve our platform. You'll work closely with an engineering team to tailor our GPU platform for fast and scalable AI performance.

To excel as a Forward Deployed Engineer at Parasail, candidates should have 3-7 years of experience in backend or infrastructure engineering, a strong foundation in programming languages like Python, Go, or Java, and familiarity with distributed systems and cloud infrastructure. Experience in AI/ML systems will be a key advantage.

The work environment for a Forward Deployed Engineer at Parasail is collaborative and dynamic. This hybrid role allows you to work in the SF Bay Area and involves engaging directly with customers to solve complex challenges while also collaborating with internal engineering teams to enhance our offerings based on real-world application.

A Forward Deployed Engineer at Parasail directly contributes to the company's mission by customizing and deploying our GPU platform, enabling AI developers to overcome challenges in their applications. By aligning solutions with customer needs and providing rapid iterations based on field feedback, you'll play a vital role in enriching our infrastructure and helping our clients succeed.

Working at Parasail as a Forward Deployed Engineer is exhilarating due to the innovative projects you'll engage with and the opportunity to collaborate with leading AI teams across various industries. Your role will not only impact the success of our customers but also significantly influence the direction of AI infrastructure.

When answering this question, focus on specific projects where you've customized or deployed infrastructure solutions. Highlight any challenges you faced and how you overcame them, which illustrates your problem-solving skills.

Share examples of moments when you successfully communicated complex topics to non-technical team members. Emphasize your adaptability in tailoring your communication style to different audiences.

Discuss your expertise in Python, Go, or Java, providing examples of how you applied these languages to build or troubleshoot systems. Providing specific instances where your coding skills made an impact will strengthen your response.

Provide a detailed account of a situation where you identified and resolved a problem in production. Focus on your analytical process, the tools you used, and the outcome of your troubleshooting efforts.

Highlight your familiarity with distributed systems and cloud infrastructure by discussing specific projects where you worked with these technologies. Mention any platforms or tools you utilized, along with the challenges you overcame.

Illustrate your problem-solving approach by sharing an example where you had to navigate unclear situations. Discuss how you gather information, analyze it, and make decisions based on available data.

Emphasize the significance of customer feedback in shaping your projects. Share specific examples of how customer insights influenced your engineering decisions positively.

Discuss your hands-on experience with containerization technologies and Kubernetes, including specific use cases or projects where you utilized these tools to enhance deployment efficiency.

Mention your commitment to continuous learning by subscribing to industry publications, attending conferences, and engaging with communities in AI and infrastructure. Share specific resources you rely on.

Convey your enthusiasm for the role by discussing specific aspects of Parasail’s mission and how they align with your career goals. Express your eagerness to contribute to innovative AI solutions.