Senior Solutions Engineer

🕒 May 8

🗽 New York – Remote

🗽 New York – Remote

💵 $170k - $250k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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Clockwork Systems, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

💰 $21M Series A on 2022-03

Founded in 2018 by a team from Stanford University, Clockwork's technology enables time-sensitive applications in areas such as financial trading, high-tech, and online gaming. Being software-based, its solutions can run anywhere: in on-premises data centers, public clouds, or hybrid environments. Taking aim at the 'clockless architecture' prevalent in distributed systems and networks, Clockwork.io aims to redefine a large part of the way these technologies (which underlie the cloud) are currently practiced.

📋 Description

• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements. • Lead proof of concept evaluations to showcase the value of Clockwork's solutions within customer environments. • Provide technical leadership during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise. • Work closely with Clockwork's sales team to complete PoC evaluations and close deals. • Collaborate with product and engineering teams, and identify opportunities for product enhancement. • Offer valuable insights on product features, functionality, and performance, contributing to discussions about product strategy and architecture. • Stay abreast of the latest developments and trends in AI networking, Kubernetes, and cloud computing, sharing your thought leadership with customers and internal stakeholders. • Represent Clockwork at conferences and industry events, with occasional travel as required.

🎯 Requirements

• 5+ years in a solutions architect or engineering role, preferably within cloud or AI infrastructure domains. • Previous pre-sales experience, including POCs, with client stakeholders, including senior technical staff and management. • Hands-on experience with cloud platforms (AWS, GCP, Azure, OCI). • Strong understanding of Kubernetes and container orchestration. • Familiarity with GPU infrastructure and related technologies. • Extensive knowledge of networking protocols. • Excellent communication and relationship-building abilities, with a customer-centric mindset. • Demonstrated ability to troubleshoot complex technical issues and provide effective solutions. • A degree in computer science, electrical engineering or related field. • Proficiency with Python, SQL, and Linux (Golang, C, C++, and Java are a plus).

🏖️ Benefits

• Competitive compensation. • A great benefits package. • A friendly and inclusive workplace culture. • Catered lunches.