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Software Engineering Manager

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: Peyton Resource Group
Full Time position
Listed on 2026-03-12
Job specializations:
  • Software Development
    DevOps, Software Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

This is a hands-on leadership role for someone who can define vision, build a strong and accountable team, and deliver platform improvements that measurably increase customer adoption, retention, and satisfaction.

Key Responsibilities
  • Lead, mentor, and develop internal engineers, QA, and business analysts.
  • Foster a strong engineering culture centered on accountability, ownership, and continuous improvement.
  • Manage and integrate external development partners to ensure cohesive execution across blended teams.
  • Operate with a player/coach mentality — balancing leadership with hands‑on contribution.
Technical Strategy & Execution
  • Drive thoughtful system design and pragmatic technical tradeoffs.
  • Actively participate in code reviews, architectural decisions, and troubleshooting.
  • Champion modern engineering practices including CI/CD, automated testing, and infrastructure as code.
  • Lead automation initiatives across the full development lifecycle (build, test, deploy, monitor).
  • Own engineering excellence in reliability, scalability, code quality, and continuous delivery.
  • Operate in a full Dev Ops model: build it, ship it, support it.
Required Qualifications & Experience
  • 7+ years of software engineering experience.
  • Proven track record of leading teams that delivered measurable product impact.
  • Strong experience in SaaS or subscription‑based products preferred.
  • Hands‑on experience implementing CI/CD pipelines and driving testing and automation culture in a Dev Ops environment.
  • Technical depth in architecture and scalable system design.
  • Experience with: .NET, SQL databases, Azure cloud infrastructure
  • Proficiency in modern development tooling and automation practices.
  • Experience integrating AI capabilities into product workflows and leveraging AI‑assisted development practices.
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