Top Software Engineer Jobs in Dallas, TX

Lead technical direction for cloud platform engineering: design, build, and operate secure, scalable platforms supporting AI/ML and data initiatives. Drive DevEx, CI/CD, DevSecOps, observability, self-service developer workflows, and AI-assisted development including agent and MCP integrations.

Design and implement high-performance, 3GPP-compliant 5G Core control- and user-plane functions on ARM-based embedded Linux. Develop in C/Go/Rust, use DPDK for packet processing, optimize latency/throughput, debug protocol and performance issues, and collaborate cross-functionally to integrate carrier-grade systems.

Designs, builds, tests, and maintains regulated clinical software for case management and order intake. Leads architecture discussions, code reviews, production monitoring, incident response, automated testing, technical documentation, and technical-debt remediation. Collaborates with product management, mentors engineers, and uses AI-assisted development workflows. The role supports reliable, compliant software delivery under FDA and SOX controls, with occasional travel and scheduled on-call participation.

Design, develop, modify, test, and document enterprise applications across functions (finance, HR, marketing). Create system implementations, conversion plans, and train users. Participate in coding, debugging, and recommending development and maintenance standards.

Design, develop and deploy business rules using IBM ODM. Build domain, Java execution and business object models; author, test, publish and deploy rules in Decision Center/Server; integrate via Java/J2EE web services; use ODM APIs, Decision Validation Services, Decision Warehouse, CI (Jenkins), Maven, UML and DB2.

Develop, enhance, and deploy high-performance desktop trading applications using C#/.NET and WPF. Collaborate with account management, support, and implementation teams to analyze requirements, refactor for performance, implement architectural standards, and provide day-to-day production support and deployments.

Develop and deliver automotive infotainment and telematics software across platforms (QNX, GENIVI, Automotive Linux, Microsoft Auto). Implement Java/J2EE, web services, front-end and mobile features; build web apps with Struts2/HTML5/CSS/jQuery/JSON. Participate in SDLC, design and architecture reviews, and global delivery with cross-functional teams.

Develop and deliver infotainment and telematics applications for automotive platforms (QNX, GENIVI, Automotive Linux, Microsoft Auto). Build Java/J2EE, web services, front-end and mobile (Android/iOS) applications; develop web apps with Struts2, HTML5, CSS, jQuery, JSON. Participate in SDLC, design and architecture reviews, global delivery, and cross-stakeholder collaboration.

Join the engineering team to develop diagnostic tools for trucks, troubleshoot software, and design user interfaces. Responsible for maintaining and updating diagnostic protocols.

The Software Developer will evaluate RPA tools, manage cloud migrations, create documentation, and develop custom solutions using cloud technologies and programming.

Lead infrastructure engineer designing and deploying infrastructure tools and playbooks, supporting NonStop systems and messaging middleware, automating processes, troubleshooting production issues, coordinating releases, mentoring engineers, and ensuring compliance with enterprise architecture and security standards.

Lead architecture and integration for simulation platforms and digital twins, design scalable cloud-native backend microservices and APIs, define integration standards (REST, gRPC, event-driven), drive observability and CI/CD, adopt AI-assisted development practices, mentor engineers, and collaborate across teams to deliver secure, high-performance platform capabilities.

Design, build, and maintain backend services and RESTful APIs; own end-to-end feature delivery and production support; improve performance, reliability, CI/CD, and mentor junior engineers while collaborating cross-functionally.

Lead and mentor a team building cloud-based, full-stack enterprise platforms using distributed microservices. Collaborate with product managers to deliver scalable solutions, leverage JavaScript/Java/TypeScript/Python/Go, containers (Docker, Kubernetes), and cloud services (AWS/GCP/Azure) to meet regulatory and customer needs.

Develop, test, and maintain backend services and .NET APIs; collaborate with cross-functional teams; support cloud infrastructure provisioning with Terraform; troubleshoot application and database issues; write and review code; optimize SQL queries; participate in Agile ceremonies and CI/CD practices to improve reliability and scalability.

Provide technical leadership to design, develop, integrate, and support enterprise customer-data solutions using Salesforce Data Cloud and related cloud, API, and streaming technologies. Mentor junior engineers, collaborate with stakeholders, perform root cause analysis, and document solutions across front-end, back-end, and data layers.

Lead design, delivery, and operation of enterprise-scale infrastructure services. Drive AI-native engineering practices, write and review production code, ensure reliability and security, reduce operational toil via automation, run production at scale (on-call/incident response), mentor engineers, evaluate vendors, and lead cross-team engineering communities to adopt robust, validated development standards.

Lead and mentor a team building distributed microservices and full‑stack cloud solutions. Collaborate with product managers to deliver secure, scalable AWS-based applications using modern languages, containers, and databases while driving technology adoption and regulatory compliance.

Own and optimize a large Cloudera/HBase/Kafka data environment while leading a phased migration to AWS-native serverless services. Design migration to avoid data loss, enable application teams to refactor consumers, enforce data governance/security, and modernize ingestion pipelines using AWS MSK, Lambda, and Glue.

Leads enterprise software architecture and hands-on development for complex strategic initiatives. Designs scalable microservices and micro frontend systems, develops cloud-agnostic applications, integrates AI/ML models and RAG capabilities, and establishes DevSecOps practices. Drives proofs of concept, technology innovation, solution engineering, and cross-functional delivery. Leads, mentors, and inspires engineering teams while partnering with architecture, product, business, data science, and IT stakeholders to deliver secure, high-quality solutions.

Lead and support database modernization, design, performance tuning, migrations, and production troubleshooting. Serve as a subject-matter expert advising application teams, partnering with PaaS/DBaaS/cloud teams, driving adoption of AI-assisted engineering practices, automation and CI/CD, and creating modernization patterns and tools to accelerate delivery and ensure resilience, security, and cost optimization.

Leads hands-on software implementation across risk, AI ingestion, compliance, and client-facing platforms. Designs and ships C#/.NET services, REST APIs, React and TypeScript applications, and contributes to Python and LangGraph agentic systems. Establishes engineering standards for code reviews, testing, CI/CD, Azure and Kubernetes deployments, and observability. Mentors engineers, participates in architecture and ADR reviews, and guides integrations with Microsoft Fabric while working across Azure and on-premises environments.

Lead technical direction for AI infrastructure, data platforms, shared services, and agentic engineering practices while remaining hands-on. Architect secure MCP integrations, establish AI quality gates, evaluation frameworks, SLOs, and responsible-AI standards. Guide build-versus-buy decisions, modernize legacy systems, improve cloud-native scalability, and safeguard sensitive member data. Mentor senior engineers and communicate complex architecture and AI concepts to executives and cross-functional partners.

Develop and lead full-stack applications delivering analytics and machine learning insights. Build responsive React interfaces, Python or Node.js backend services, APIs, data integrations, dashboards, and visualization components. Ensure secure, scalable, performant cloud deployments, preferably on Azure. Use AI-assisted coding tools, contribute to architecture, review code, and mentor or coordinate contractors and interns while collaborating with product managers, data scientists, and business stakeholders.

Designs, develops, and supports enterprise ServiceNow solutions across ITSM and HRSD. Builds custom applications, workflows, integrations, scripts, portals, user experiences, and Playbooks while supporting ServiceNow AI capabilities. Performs full-stack development, ensures security and compliance, translates business requirements into scalable solutions, and participates in architecture, code reviews, governance, and stakeholder collaboration.