Top Software Engineer Jobs in Dallas-Fort Worth, TX

Lead architecture and reliability for a high-scale alerting platform. Design rule-based, ML-driven, and correlated detection systems; own Kafka-based event delivery, webhook reliability, idempotency, and sustained-load performance. Transform security and network telemetry into topology and dependency models that support LLM-assisted investigation and remediation. Provide cross-team technical leadership, mentor engineers, and guide long-term platform strategy across multiple alerting teams.

Own backend systems and infrastructure end-to-end, designing, deploying, and scaling performant APIs and services on AWS using Node.js and TypeScript. Deliver reliable production code quickly, establish engineering best practices, make architectural tradeoffs, and collaborate with product engineers and stakeholders. The role emphasizes system ownership, scalability, performance, reliability, and effective use of AI-assisted development tools.

Design and build the core vCluster Platform using Go and deep Kubernetes expertise. Own backend features end to end, from technical design through release, while solving complex systems architecture challenges involving networking, storage, isolation, and resource sharing. Contribute to open-source projects and the Kubernetes community, operate autonomously in a high-growth startup, and help define scalable Kubernetes multi-tenancy solutions.

Design, develop, maintain, and customize Guidewire ClaimCenter solutions. Reverse engineer legacy codebases, integrate ClaimCenter with external systems through SOAP and REST APIs, and ensure scalability, performance, and reliability. Troubleshoot complex technical issues, contribute to upgrades and migrations, and collaborate with business analysts, architects, and developers. The role requires strong Guidewire, Java, Spring Boot, Gosu, data model, and integration expertise, with DevOps, cloud, and front-end experience preferred.

Leads and grows an engineering team responsible for customer-facing web, mobile, and backend products. Owns delivery, technical direction, architecture, reliability, hiring, coaching, and career development. Partners with Product and Design to prioritize work and deliver dependable releases. Establishes AI-assisted engineering practices, supports AI-powered customer experiences, and builds systems for scheduling, payments, client management, notifications, and integrations.

Lead and grow an engineering team building scalable AI-native insurance products. Responsibilities include hiring, mentoring, performance management, technical direction, architecture guidance, design reviews, and delivery of reliable production systems. Partner with Product, Design, Data Science, and customer-facing teams to execute ambiguous initiatives. Use AI-native development workflows to increase velocity while maintaining high standards for security, correctness, reliability, and production readiness.

Lead development of scalable software solutions across frontend and backend systems. Build React and TypeScript interfaces, C# .NET and Node.js services, Terraform-managed AWS infrastructure, and optimized MSSQL schemas and queries. Collaborate on requirements and roadmaps while promoting code quality, testing, RESTful architecture, and CI/CD best practices. The role also uses generative AI tools and coding agents, with preferred experience in Docker, Kubernetes, serverless computing, and automated testing.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

Lead the architecture and evolution of a Flutter app across iOS and Android. Build interactive trading features, design systems, performance improvements, automated testing, analytics, feature flags, and resilient API integrations. Mentor engineers, contribute to code reviews and design documentation, support release and QA processes, and participate in mobile on-call rotations. The role partners closely with Product, Growth, Design, Backend, and Platform teams.

Participate in a paid remote interview about AI-assisted software engineering. Discuss your development workflow, use of coding assistants such as Copilot, Cursor, or Claude Code, model comparisons, debugging practices, prompt strategies, and challenges with generated code.