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

Lead the architecture, design, and development of complex backend software systems for data-intensive applications. Drive technical direction, implement new technologies, improve code quality, reduce technical debt, and promote testing and continuous delivery. Mentor engineers, conduct code reviews, collaborate cross-functionally with product and design teams, engage with customers, and help deliver maintainable, scalable solutions using backend technologies, databases, distributed computing, and cloud platforms.

Designs, develops, maintains, and supports software applications focused on HIPAA EDI transactions for dental and vision healthcare benefits. Responsibilities include Agile development, production issue triage, technical investigation, secure coding, unit testing, architecture and impact analysis, documentation, and implementing newly legislated EDI standards. The role also serves as a subsystem subject matter expert and uses AI tools responsibly.

Leads Re:Build’s Forward Deployed Engineering team, hiring and developing engineers who deliver full-stack digital solutions across manufacturing sites and functions. Partners with stakeholders to prioritize opportunities, guides technical delivery, establishes engineering standards, builds reusable delivery assets, measures solution impact, and promotes AI-assisted development tools. Requires strong software engineering, customer-facing delivery, people leadership, DevSecOps, Agile/SAFe, and cross-functional program management experience. The role includes approximately 25% domestic travel to customer sites.

Leads and grows a distributed software engineering team building a scalable cloud data and analytics platform. Owns architecture, data modeling, technical delivery, roadmaps, product collaboration, agile planning, quality standards, security alignment, vendor relationships, and engineering KPIs. The role remains hands-on with coding, code reviews, documentation, data architecture, deployment, and development of SaaS data products using Azure or AWS, Microsoft Fabric or Snowflake, and Power BI.

Develop and maintain full-stack features for a secure, cloud-based medical imaging platform. Responsibilities include frontend and Perl API development, PostgreSQL query optimization and schema changes, debugging across web, database, storage, DICOM, and HL7 systems, code reviews, testing, documentation, and production support. The role also contributes to AWS, Kubernetes, Docker, CI/CD, and Agile initiatives while expanding across multiple languages and codebases.

Build and ship software engineering projects from design through production rollout. Develop AI-powered features supporting chronic care workflows, collaborate with engineering and clinical partners, write maintainable and testable code, and apply software development practices to reliable cloud-based systems. Test, monitor, and iterate using production feedback, with emphasis on patient impact and human judgment.

Bridges Akuity with its developer community through technical content, code samples, SDKs, demos, tutorials, documentation, and blog posts. Provides developer support, answers community questions, gathers product feedback, collaborates with engineering and product teams, and represents the company at conferences, meetups, and workshops. Advocates for Akuity’s GitOps and Kubernetes technologies while improving developer experience and product adoption.

Design and prototype AI agent systems, agentic workflows, BI and ML pipelines, and enterprise data solutions for strategic customers. Translate governance needs into technical roadmaps, deliver measurable business value, create reusable implementation accelerators, and provide technical guidance to customers and junior engineers. Collaborate with Deployment Strategists, Account Executives, Product, Engineering, and GTM teams to improve Alation’s platform and customer outcomes.

Leads the architecture, development, and evolution of enterprise BI and analytics solutions for healthcare coding and clinical data products. Designs data, semantic, cloud, and distributed-system architectures; builds scalable data pipelines and embedded analytics; establishes engineering standards and governance; evaluates technologies and mentors development teams. The role requires extensive software engineering and architecture experience across AWS or Azure, analytics platforms, data modeling, ETL, security, reliability, and large-scale data processing.

Owns Shopify checkout and post-purchase extensions, experimentation reporting, and revenue-critical APIs across PHP, TypeScript, MySQL, BigQuery, and Google Cloud. Designs secure REST services, investigates production issues, participates in on-call, and maintains unit and end-to-end testing without a separate QA handoff. The role requires Staff-level technical ownership, system-wide architectural judgment, AI-assisted development, mentoring, and collaboration in a remote, high-autonomy environment.