Top Remote Software Engineer Jobs in Dallas, TX

Own major product surfaces across Aleph’s FP&A platform, leading features from customer discovery through launch and iteration. Build performant spreadsheet-grade interfaces over large financial datasets, design robust data models and APIs, develop AI-native features involving orchestration, tool calls, and retrieval, and improve engineering standards through high-quality code and reviews. The role requires strong full-stack fundamentals, customer engagement, technical leadership, pragmatism, and experience building complex B2B products.

Build and own full-stack features, platform primitives, and integrations for Vanta Government Cloud. Design secure APIs and services for authentication, data ingestion, schema evolution, monitoring, and framework mappings. Operate integrations within the GovCloud boundary, including observability, on-call support, incident response, change management, performance improvements, and automated testing. Collaborate with federal subject-matter experts, agencies, vendors, and assessment organizations while using AI responsibly to improve development and operations.

Lead architecture and rollout of scalable platform services and customer-facing APIs. Define API standards, service boundaries, security, reliability, and developer experience; collaborate with data-platform teams; drive RFCs and complex multi-quarter initiatives; mentor engineers; and contribute across the stack using TypeScript, Node.js, React, and AI tools.

Design, build, and maintain cloud infrastructure software (primarily in Go) to manage VMs across global data centers. Collaborate on product requirements, participate in code reviews, optimize performance and reliability, contribute to architecture decisions, and stay current with industry trends.

As a Senior Software Engineer on the Data Platform team, you'll enhance the data infrastructure, develop ETL pipelines, maintain data quality, collaborate across teams, and mentor junior engineers.

Senior individual-contributor full-stack engineer who designs, builds, and ships end-to-end product features. Leads technical direction, modernizes legacy systems, debugs distributed systems, owns production reliability and on-call, and mentors engineers. Drives AI-native development adoption while collaborating with Product and Design and improving team practices, observability, testing, and deployment workflows.

Join a small AI-native engineering team building and operating Affirm's bank systems. Own end-to-end bank infrastructure, durable workflows, vendor integrations, data platform, CI/CD, monitoring, and examiner-ready documentation. Use AI-assisted tooling to accelerate development, collaborate with Compliance/Risk/Finance, and mentor growing engineering talent.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

Design and build end-to-end web and AI-powered dashboard features, scale cross-platform full-stack infrastructure, standardize product patterns, mentor engineers, lead cross-team technical projects, and collaborate with product and design to improve user workflows and AI adoption.

Senior fullstack engineer to build and scale Brigit's consumer finance platform. Own end-to-end features across frontend (React/React Native/TypeScript) and backend (Java/REST/SQL), optimize database and APIs for high scale, integrate 3rd-party services, implement risk and transaction algorithms, improve CI/CD, testing, monitoring, and internal tooling to support millions of users.

Build and maintain full-stack features for Saga, Deepgram's voice OS. Develop backend services (Node.js, Socket.IO, DynamoDB, AWS Amplify), frontend interfaces (TypeScript, React, Next.js), and scalable REST/GraphQL APIs. Participate in architecture, code reviews, performance optimization, and translate product requirements into iterative deliverables.

Own technically complex, mission-critical areas and define technical strategy for new products. Design and ship full‑stack, AI‑driven features end‑to‑end, build scalable data ingestion and API systems, partner with product/design/customer teams to translate ambiguous problems into measurable outcomes, mentor engineers, and raise engineering quality and standards across the organization.

Serve as the senior software development SME while performing full-stack Java web development and O&M activities. Guide developer teams, prioritize work, coordinate technical meetings, resolve issues, optimize processes, analyze requirements, estimate effort, review code, conduct testing, troubleshoot environments, create technical documentation, and implement software updates. The role requires extensive J2EE experience, SPA development, DevOps and CI/CD expertise, and active Public Trust/MBI clearance supporting an IRS Criminal Investigation system.

Develop and own full-stack web features from design through deployment, monitoring, and optimization. Build APIs, backend services, responsive user experiences, SQL queries, and relational database schemas. Modernize legacy systems, troubleshoot performance issues, participate in code reviews, and collaborate with product and design teams in an agile continuous-delivery environment. The role emphasizes secure, maintainable, scalable code, technical ownership, and thoughtful use of AI-assisted development tools.

Develop, test, and maintain enterprise software components across the full software development lifecycle. Build user interfaces, REST APIs, services, and data access logic using Microsoft technologies and modern UI frameworks. Write unit tests, participate in code reviews, debug defects, and collaborate with Product, QA, and senior engineers. Use AI-assisted development tools while validating output for correctness, security, and architectural alignment.

Develop backend services and APIs that streamline client activation and production onboarding. Build and enhance integrations with core provider APIs, checkbook ordering, ACH transfers, and product services. Collaborate with clients to understand account-opening nuances and partner with product teams to incorporate them into the platform. Write clean, documented, tested code; address error handling, logging, edge cases, system design, performance, and architectural tradeoffs. Provide technical guidance and code reviews.

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to products, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and collaborate with global teams while receiving mentorship and hands-on experience.

Software engineering intern supporting the design, development, integration, and enhancement of complex software applications. The role involves contributing to team goals, creating innovative solutions, developing high-quality features, applying software development lifecycle and configuration management practices, and collaborating with engineers. Interns receive mentorship, hands-on experience, relocation benefits, and short-term housing when eligible.

Summer 2027 software engineering intern who will design, develop, integrate, and enhance complex software applications and product features. The intern will collaborate with engineering teams, apply software development lifecycle and configuration management practices, analyze problems, develop efficient solutions, and contribute to customer-focused innovation. The role includes mentorship, professional development, relocation benefits, and short-term housing eligibility.

Develop and integrate complex software applications as part of a Honeywell engineering team. Interns will contribute software features to customer products, create innovative solutions, apply software development lifecycle and configuration-management practices, and collaborate with engineers in a global organization. The internship includes hands-on technical experience, mentorship, professional development, and potential relocation benefits and short-term housing.

Develop, test, and maintain software components across the full software development lifecycle. Build user interfaces, REST APIs, services, and data-access logic using Microsoft technologies and modern UI frameworks. Write unit tests, participate in code reviews, debug defects, and collaborate with Product, QA, and engineering teams. Use AI-assisted development tools responsibly while following security, compliance, and software quality practices.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Lead design, build, deployment, and operation of highly resilient, high-throughput configuration and publishing systems. Define long-term architecture and strategy, mentor senior engineers, diagnose and fix performance bottlenecks, and leverage AI tools to improve engineering productivity and platform capabilities.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.