Manager II, Software Engineering
Lead the Banking engineering team as a hands-on player/coach, shaping technical strategy, contributing code, resolving customer issues, and partnering with Product and Design to deliver quickly and reliably.
Total Expert is looking for an experienced engineering leader to join its Product and Engineering organization to expand and support the Total Expert platform and the teams that build it. As a Manager, Software Engineering, you will be leading an engineering team responsible for driving continuous delivery of value to our customers. You will collaborate closely with Product and other stakeholders to create alignment and set technical direction.
We are looking for a leader who excels at both coaching technologists and staying hands-on: participating actively in architectural conversations, contributing to technical design, and rolling up their sleeves to help resolve issues when the team needs it. A genuine passion for leading technologists using cutting-edge technologies and practices, including AI-assisted development tooling, is essential.
This is a hybrid role based in our Dallas, TX office. We ask that you live within commuting distance or be willing to relocate at your own expense.
What youโll be doing:
What we are looking for:
Equal opportunity
Total Expert is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected by law. We welcome candidates from all backgrounds and evaluate everyone on the same criteria. If you need a reasonable accommodation during the application or interview process, please contact us.
Lead the Banking engineering team as a hands-on player/coach, shaping technical strategy, contributing code, resolving customer issues, and partnering with Product and Design to deliver quickly and reliably.
Lead and develop APAC Deployment Leads delivering frontier-model production systems, owning customer outcomes end to end while shaping delivery practices, product inputs, and a scalable team.
Leads and scales a customer-facing technical team helping high-growth startups move from AI experimentation to production through architecture guidance, deployment support, and repeatable engagement models.
Leads and scales a customer-facing Applied AI Engineering team serving startups, guiding production deployments and competitive migrations while building repeatable technical programs and representing customer needs across the organization.
Leads cloud, infrastructure, and application security teams, setting vulnerability management strategy and driving remediation within SLAs while building secure development practices and meeting compliance commitments.