A rapidly growing SaaS organization serving the financial services industry is seeking a Manager of Software Engineering to join its expanding technology leadership team. This full-time position is based in the Dallas/Fort Worth area with a hybrid schedule of three days per week onsite. The role will lead teams responsible for mission-critical platform services built on .NET, microservices, cloud infrastructure, APIs, event-driven systems, and integration technologies.
This opportunity is ideal for an engineering leader who enjoys balancing people management with technical leadership. The organization is investing heavily in platform modernization, AI-assisted software development, cloud-native architecture, and engineering scalability. The selected candidate will have significant influence over technical direction, delivery execution, platform evolution, and engineering culture while helping build and strengthen a growing Dallas-area presence. Required Skills & Experience
5+ years of software engineering management experience
Experience leading distributed or offshore engineering teams
Strong .NET / C# background
Experience with microservices architectures
Experience building distributed systems
Event-driven architecture expertise
API design and integration experience
Cloud platform experience (AWS preferred)
Agile leadership experience
Sprint planning and capacity planning experience
Team coaching and mentorship experience
Technical design review and architectural leadership experience
Strong delivery and execution mindset
Desired Skills & Experience
Kafka event streaming experience
Identity and Access Management (IAM)
Authentication and Authorization platforms
Single Sign-On (SSO)
Salesforce integration experience
Datadog or New Relic
Platform modernization experience
Monolith decomposition initiatives
AI-assisted development tools
Engineering productivity programs
Financial technology or SaaS experience
What You Will Be Doing
Lead two engineering teams consisting of approximately 10 engineers
Drive engineering execution, planning, and delivery
Participate in architecture and system design discussions
Coach engineers and technical leads
Improve software quality and development practices
Partner with Product and Engineering leadership
Support modernization efforts and platform scalability initiatives
Build strong collaboration between U.S. and offshore teams
Establish metrics and accountability frameworks
Promote adoption of AI development tools and best practices