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

Full‑stack staff engineer to ship web products end-to-end, iterate on and expand a suite of sales/CRM-focused tools, define engineering culture and best practices, and hire/mentor future engineers. Must move fast in a small team, engage with users, and solve new problems creatively.

Build and operate integrations, data pipelines, SSO and rostering flows for large school districts. Work directly with district stakeholders to design, implement, customize, debug, launch, and stabilize production solutions. Develop full-stack features, migrate and reconcile sensitive data, add testing and observability, and convert recurring customer needs into reusable platform capabilities. Balance customer requirements with security, maintainability, and long-term platform health.

Develop and support Salesforce integrations connecting internal applications, vendors, and business partners. Build Apex, Lightning Web Components, Flow, and API-based solutions; design error handling, retries, reconciliation, monitoring, and documentation. Own integration delivery from scoping through ongoing support, reduce technical debt, improve performance and testability, and collaborate with technical and business stakeholders. The role supports merchant onboarding, transaction processing, billing, and payment-related workflows.

Build and maintain cross-platform React Native mobile apps integrated with blockchain (smart contracts, wallets, tokenization). Implement features for validator registration, asset verification, and marketplace functionality. Collaborate with backend and design teams, ensure security and compliance (KYC, token handling), optimize performance, and support CI/CD and deployment workflows.

Design, build, and maintain secure, performant browser extensions for Chrome, Edge, and other browsers using Manifest V3 and modern APIs. Develop features integrating with web content, backend services, and endpoint agents; optimize reliability; monitor evolving browser standards; and participate in testing, code reviews, and process improvement. The role requires investigating third-party web applications, understanding extension security models, and coordinating effectively with backend and non-browser engineering teams.

Designs, develops, tests, and deploys Salesforce solutions using Apex, Lightning Web Components, Visualforce, APIs, custom objects, and integrations. Manages portals and Communities, data migration and quality, security, documentation, troubleshooting, performance tuning, and ongoing enhancements. Partners with business analysts and QA to translate requirements into scalable solutions, while managing version control and deployments through Copado.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Builds and owns AI-assisted HR technology solutions from discovery through deployment and ongoing support. The role partners with HR stakeholders to identify high-value problems, develops full-stack prototypes and integrations with HR systems, runs user pilots, measures outcomes, and collaborates with IT on security, governance, compliance, production readiness, and support. Key applications include job architecture, compensation tools, recruiting workflows, HR chatbots, decision support, and predictive analytics.

Design, build, maintain, and scale production backend services and integrations. Debug cross-service production issues, lead architecture and technical decisions, mentor engineers, improve engineering standards and tooling, release backward-compatible APIs, implement auto-scaling services, and architect real-time systems for syncing large data volumes.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).