Top Remote Software Engineer Jobs in Dallas-Fort Worth, TX

Develop and test complex software applications in global team environments, with training in Java and full-stack development. Responsibilities include applying software engineering principles, troubleshooting and debugging, working with databases, following the SDLC, and practicing test-driven development. The role includes 4–8 weeks of training followed by a 12–24-month client placement with ongoing support.

Provide hands-on technical leadership for a multi-tenant learning and workforce platform. Responsibilities include coding, code review, mentoring developers, designing LMS integrations, implementing platform features, guiding architecture, maintaining CI/CD and testing practices, ensuring security and accessibility, facilitating Agile ceremonies, and communicating technical decisions to stakeholders. The role also involves identity integrations, documentation, technical estimation, and responsible adoption of AI-assisted development tools.

Leads a software development team through the full product lifecycle, including user research, product strategy, roadmap planning, application development, testing, code reviews, documentation, team performance management, budgeting, partnerships, and user support. The role also manages Agile processes, reports metrics, develops funding proposals, and participates in conferences and periodic travel.

Leads a full-stack engineering team developing customer-facing SaaS products across web, mobile, backend, and AI systems. Owns engineering strategy, architecture, reliability, security, privacy, delivery planning, product health, and measurable customer outcomes. Partners with Product, Design, and customer-facing teams to define and ship products, uses production data to guide priorities, and hires, develops, and manages engineering talent.

Design, develop, and maintain RESTful APIs and scalable event-driven cloud solutions using TypeScript and AWS. Build infrastructure as code with AWS CDK, implement secure and highly available architectures, troubleshoot production issues, optimize performance, participate in technical planning and code reviews, document solutions, collaborate with teams and vendors, and mentor engineers on AWS best practices.

Lead cross-cutting architecture for a globally distributed fraud-detection platform. Own end-to-end system architecture, identify scaling and reliability risks, establish API and service standards, guide foundational initiatives, and drive adoption across eight engineering groups. Mentor Staff engineers, lead design reviews, advise executives on technical strategy and risk, establish AI-assisted engineering practices, and remain hands-on with prototypes, documentation, and production issues.

Develop open-source Web3 and Web2 technologies for the Canton Network, solving complex distributed systems and security challenges. Own major software components, contribute to cloud deployments and operations, collaborate across distributed engineering teams, mentor engineers, and improve systems and processes. The role requires strong polyglot programming skills, preferably in Scala or Haskell, plus experience with Kubernetes, Pulumi, Helm, and Grafana.

Design and build reliable, scalable backend services, search APIs, semantic and lexical search systems, and platform components serving millions of users. Collaborate with engineering, product, and QA teams to translate requirements into solutions, while improving observability, monitoring, alerting, and operational readiness. Support multi-region systems using CI/CD, infrastructure as code, containers, high availability, and disaster recovery practices.

Leads a student-facing software engineering team while managing people, technical direction, architecture, delivery, and team health. The role combines hands-on coding, code review, technical debt ownership, pragmatic architectural decisions, AI-assisted development, and agile process improvement. The manager owns direct-report development, performance management, career growth, and team culture while partnering closely with Product to improve execution and learning.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.