Top Software Engineer Jobs in Dallas-Fort Worth, TX

Modernize legacy .NET and C# systems by reducing technical debt, refactoring monoliths into microservices, and re-platforming applications onto AWS cloud-native architectures. Build APIs, containerized services, infrastructure as code, and modern data migration workflows. Apply AI-assisted development tools for code analysis, refactoring, testing, and documentation while promoting simplicity, observability, scalability, and sound engineering standards.

Lead the engineering department, develop and empower engineers, establish systems and guardrails for reliable delivery, improve workflows, maintain technical involvement, and set metrics that drive productivity and impact. The role partners closely with Product, supports high-impact decisions, and builds a culture of trust, psychological safety, ownership, and clear communication.

Develop and support RPGLE applications on IBM iSeries/AS400 platforms. Responsibilities include designing, coding, testing, debugging, maintaining legacy applications, writing CL programs and embedded SQL, optimizing DB2 performance, translating business requirements, and documenting technical solutions within an Agile SDLC environment.

Talent community opportunity for future technical roles at RapidSOS. Potential responsibilities include developing and supporting life-saving technology, collaborating with Product on public safety solutions, leading or supporting engineers, owning strategic initiatives, and improving tools and processes. Candidates should be collaborative, self-motivated, adaptable, detail-oriented, eager to learn and leverage AI, and comfortable in a fast-paced startup environment.

Lead high-impact initiatives and architect enterprise-grade APIs while mentoring engineers. Collaborate across teams to influence technical strategy and scale platform architecture.

Develop and enhance Power Platform applications, workflows, dashboards, reporting, and data visualization solutions for a federal acquisition office. Gather requirements, translate user needs into functional solutions, document processes, support deployment and troubleshooting, and optimize system performance. Provide federal acquisition and contracting support, including market research, acquisition strategy, PWS and IGCE development, CLIN recommendations, contract monitoring, performance assessments, and invoice processing.

Full-time remote engineering internship with Product Engineering and AI/ML Engineering tracks. Interns may build and optimize scalable product features, contribute to architecture and design decisions, develop data pipelines and machine learning models, deploy AI applications, and integrate LLM-powered capabilities into Chess.com products. Applicants should be enrolled students or equivalent bootcamp participants with strong communication, ownership, teamwork, and relevant programming, database, machine learning, or AI experience.

Design and scale highly available backend services for an AI-powered manufacturing platform. Build AWS-based event-driven systems with Node.js, REST/GraphQL APIs, and database integrations. Use AI coding agents while validating correctness, write tests and documentation, improve observability and reliability, debug production issues, and collaborate with product, frontend, and infrastructure teams. Contribute to technical design, code reviews, engineering best practices, and responsible adoption of AI-assisted development.

Develop and maintain scalable Salesforce solutions using Apex, triggers, asynchronous operations, SOQL/SOSL, and Lightning Web Components. Build REST and SOAP integrations, translate business requirements into secure architectures, troubleshoot Salesforce applications, and collaborate with admins, architects, and stakeholders. Apply version control, deployment, testing, and Salesforce best practices while staying current with platform releases.

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.