Top Software Engineer Jobs in Dallas-Fort Worth, TX

Manage software engineering for financial applications, including technical solution design, requirements, user stories, Agile delivery, issue resolution, partner coordination, and software strategy. Collaborate with finance, hotel teams, vendors, architecture, security, and infrastructure stakeholders. Lead special projects, manage risks, communicate delivery progress, and validate junior developer code against requirements.

Supports the configuration, integration, migration, testing, and verification of systems, networks, APIs, and data flows. Develops automation scripts, primarily in Python, and explores AI/ML, generative AI, RAG, and agent-based solutions for engineering workflows. Assists with pre-sales analysis, troubleshooting, documentation, quality improvements, and post-project activities while collaborating with experienced engineers.

Leads engineering teams building and maintaining scalable software systems. Responsibilities include hands-on development, technical architecture, roadmap execution, documentation, system performance improvement, and mentoring engineers. The role collaborates with Product, Platform, QA, and other teams in an agile environment while supporting high availability, low latency, and high-volume applications.

Leads the design, development, and evolution of Java-based automation testing frameworks for critical systems. Responsibilities include writing and reviewing code, debugging complex issues, improving CI/CD pipelines, integrating security tools, making architectural decisions, supporting distributed systems, and mentoring engineers. The role collaborates with testing teams, architects, and business stakeholders in an Agile environment while driving engineering standards, reliability, and continuous improvement.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Architect and evolve Navan’s frontend platform across 20+ engineering teams. Build micro-frontend infrastructure, shared libraries, developer tools, AI-assisted coding workflows, testing standards, and reusable AI experience components. Drive framework migrations, performance optimization, reliability, security, and adoption of engineering standards. Collaborate with Security, AI platform, Product, and engineering teams while mentoring developers and measuring delivery, quality, reliability, and AI workflow outcomes.

Leads optimization and enhancement of ServiceNow HRSD and Employee Relations capabilities. Configures Virtual Agent, workflows, scripts, portals, integrations, and Employee Center components, including PeopleSoft HCM 9.2 integrations. Gathers stakeholder requirements, oversees testing and deployments, supports production issues, and develops the HRSD roadmap. Partners with enterprise ServiceNow and IT teams on governance, security, architecture, automation, and platform standards.

Leads software engineering strategy, architecture, product roadmap execution, and development of scalable business applications. Manages and mentors teams of 15–30 engineers and support staff, builds a strong engineering culture, ensures technical feasibility, and addresses performance, reliability, and scalability issues. The role remains hands-on while guiding technical direction, cross-functional collaboration, and long-term engineering priorities.

Software Engineer Interns design, build, test, and debug production-quality software for autonomous systems. Projects may involve applications, embedded flight software, firmware, machine learning, simulation, APIs, data pipelines, or cloud infrastructure. Interns analyze requirements, collaborate with engineers using Agile practices, and deliver real features or capabilities during a 10–12 week paid internship.

Develop and maintain scalable big data and cloud solutions using Scala, Python, Spark, Azure, and AI/ML technologies. Design analytics rules engines, APIs, distributed systems, and machine learning prototypes; evaluate tools and frameworks; analyze requirements; contribute to architecture and estimates; perform code reviews, documentation, testing, and production support; and collaborate across engineering, QA, architecture, and management teams.