Technical Lead, Software Engineering - Engagement Product Line | Fully Remote

Job Description

Hire Vue is where hiring happens – transforming the way organizations discover, engage, and hire the best talent. Connecting companies and candidates anytime, anywhere, Hire Vue’s end-to-end hiring platform features video interviewing, assessments and conversational AI. The industry leader in science backed, modern hiring solutions powered by ethical AI, Hire Vue has hosted more than 70 million video interviews and 200 million chat-based candidate engagements for over 1200 pioneering customers around the globe.

As a Software Engineering Technical Lead at Hire Vue, you’ll report to one of our Engineering Directors and be responsible for leading technical initiatives from inception to the hands of our users. You will be empowered to drive continuous improvement and constantly evaluate the return on investment on every decision we make when building our products.

You’ll be in a hands‑on development and technical lead role collaborating with our cross-functional teams to help continue building the leading Hire Vue platform. Your focus will be architecting solutions, writing quality code, leading other engineers by example, and solving technical challenges that will continue improving the experience of our users. You will become a key contributor to the codebase, willing to work in any area of the code when needed.

You will be coding our cutting‑edge human interaction software, working on an Enterprise‑level Chatbot software platform to help companies engage candidates, post‑hire performance, and help candidates land their dream jobs. This role involves domain and product area ownership, specifically focusing on developing and enhancing communications with users through various forms such as chat, email, messaging, and more. You will ensure seamless and effective engagement, improving both candidate and customer experiences.

Our ability to deliver quality software to our customers in a timely, predictable manner will be directly attributable to your capacity to identify and address challenges faced by the initiatives you will be leading.

• Lead the development of the Hire Vue platforms ensuring that we’re utilizing the best development techniques, architectural patterns, frameworks and libraries for those initiatives
• Own and ensure the resolution of complex problems found in our systems and integrations
• Find opportunities to broadcast knowledge and lessons learned across delivery teams
• Delegate to teammates and work with them to ensure they're successful
• Identify technical debt buydown opportunities and work with the product line leadership team to prioritize these activities
• Ensure patterns are in place to provide thorough automated testing with tests at each level of the test pyramid
• Communicate patterns and solutions through both thorough written documentation and technical presentations

We’re looking for an experienced, full‑stack engineer. More specifically, we’re looking for:

• Someone with experience designing, building, deploying, supporting SaaS products. You should have familiarity with cloud development, Test Driven Development (TDD), RESTFul APIs, XSS attacks, and MVC web frameworks.
• Someone who understands fundamental computer science concepts. That doesn’t necessarily mean you have a CS degree. You should be able to describe technical design options, engineering trade offs, making technical recommendations and decisions.
• Someone with a firm grasp of SQL and databases in general (including non‑relational databases). You should know how to do CRUD operations, what indexes are and why they matter, and the difference between a left join and an inner join for instance.
• Someone to work hand in hand with Product and UX, to design solutions that deliver business value and delight customers.

• B.S. in Computer Science (or related field), equivalent trade school degree, or equivalent work experience
• 8+ years in a software engineering role, 12+ years preferred
• Highly proficient with languages and technologies listed below
• Experience with dialogue systems, machine learning systems, multi‑agent LLM architectures, and AI natural…