Top Software Engineer Jobs in Dallas, TX

Lead and mentor engineering teams to build full-stack, cloud-native microservices and products. Collaborate with product managers, design scalable solutions using TypeScript/Node.js/Python and cloud/container technologies, and drive architectural consistency while occasionally coding and evaluating implementations.

Lead and mentor a team building distributed microservices and full-stack cloud solutions. Drive a portfolio of projects, collaborate with product managers, deliver AWS-based customer experiences, and champion modern tooling and tech community engagement.

Designs, develops, tests, operates, and maintains reliable full-stack software products. Owns production-ready code, technical architecture, scalability, performance, security, compliance, and reliability. Establishes API governance standards and lifecycle controls, enables developer adoption through coaching and documentation, and supports GenAI, AI risk, gateways, and MCP initiatives. Collaborates across teams using agile and DevOps practices while conducting code reviews, analyzing failures, and driving continuous improvement.

Build and own automation-first QA across internal tools, carrier APIs, and customer portals. Design Playwright-based regression suites, integrate tests into CI/CD, apply AI testing tools, isolate defects, prioritize risk-based coverage, serve as a release quality gate, and document QA practices and compliance evidence. Partner with Engineering, Product, and Data Platforms in a fully remote role.

Own and support enterprise systems including Nintex BPM, Infor WMS, and IBM iPaaS. Develop C#, Java, and Python integrations; administer Oracle and SQL Server databases; maintain OpenShift environments; troubleshoot system and transaction issues; optimize workflows and reporting; support warehouse implementations; and ensure performance, security, and audit compliance.

Lead enterprise Salesforce Service Cloud architecture and development for merchant acquisition, onboarding, servicing, fulfillment, and growth. Design scalable platform solutions, integrations, data models, migration strategies, automation, AI capabilities, and DevOps practices. Define technical roadmaps and architecture standards, lead discovery and Agile delivery, document reusable patterns, ensure security and governance, and mentor cross-functional development teams while modernizing customer and contact center experiences.

Develop and optimize ServiceNow Catalog solutions, including catalog items, workflows, scripts, integrations, security configurations, testing, releases, troubleshooting, and production support. Translate stakeholder requirements into self-service solutions, document and train users, mentor junior engineers, conduct root-cause analysis, and evaluate new ServiceNow capabilities.

Design and build scalable production-grade software systems, including APIs, platforms, integrations, and services. Translate business needs into technical solutions, prototype and iterate rapidly, make architecture decisions, write tested code, review designs, mentor teammates, and communicate with technical and non-technical stakeholders. Consultants own delivery, adapt to ambiguity, collaborate cross-functionally, and use modern development and AI-assisted tools to deliver client value.

Design and build scalable software systems, backend APIs, platforms, integrations, and services. Collaborate with cross-functional teams, translate business needs into technical solutions, prototype and iterate rapidly, and make architecture decisions. Write tested code, participate in reviews, mentor teammates, communicate with stakeholders, and own delivery from start to finish while supporting client-focused consulting engagements.

Design, build, and deploy production-grade Java and Python applications with observability integrated throughout. Standardize telemetry using OpenTelemetry, leverage BigPanda and Google Cloud Observability, and develop AI/ML-enabled predictive and self-healing operations. Define SRE metrics, troubleshoot complex systems, lead automation initiatives, and provide technical guidance across engineering teams.

Design, develop, and support scalable, secure database and software solutions. Drive database modernization, troubleshooting, migrations, automation, and CI/CD practices. Use AI-assisted development tools responsibly, produce architecture artifacts, and collaborate with cloud, PaaS/DBaaS, and DevOps teams to ensure production stability and continuous improvement.

Leads software engineering for private cloud and next-generation infrastructure. Provides technical direction, develops and reviews secure production code, solves complex design and functionality problems, and improves SDLC automation through approved AI-assisted engineering practices. Establishes validation, security, testing, and governance standards; supports cloud infrastructure and APIs; influences product and operational decisions; and serves as a subject-matter expert and engineering community advocate.

Lead a team and portfolio building full-stack, cloud-native microservices and platforms. Collaborate with product managers to deliver scalable AWS solutions, mentor engineers, experiment with new technologies, and ensure regulatory needs are met using languages like JavaScript, Java, TypeScript, Python, Go, and container orchestration (Docker, Kubernetes).

Designs and develops scalable web applications, APIs, and document lifecycle systems using Node.js and AWS. Builds secure solutions for document generation, signing, and vaulting while translating legal and business requirements into compliant technical implementations. Responsibilities include testing, continuous deployment, code reviews, system optimization, monitoring, troubleshooting, and mentoring engineers. Collaborates with product, engineering, and legal stakeholders to deliver reliable, high-availability document services.

Leads full-stack software engineering projects and developer teams, establishing architectural standards and building distributed microservices and cloud-based systems. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and develops responsible AI and GenAI use cases. The role uses multiple programming languages, databases, container orchestration platforms, and cloud services to deliver scalable solutions supporting regulatory requirements and customer experiences.

Build and lead production Python software for technology-risk oversight, including data pipelines, PostgreSQL systems, authenticated APIs, and LLM agent workflows. Develop RAG, tool orchestration, evaluation, and guardrails; ensure security, auditability, observability, testing, reliability, and responsible AI use. Collaborate with Product, Risk, Controls, Compliance, and data teams while delivering dashboards and evidence packages.

Lead design, development, troubleshooting, and deployment of automation for virtualized clusters and Kubernetes or OpenShift lifecycle operations. Build scalable server-side services, automate provisioning and compliance workflows, improve operational stability, and manage distributed systems using workflow orchestration. Promote responsible AI-assisted engineering practices, establish validation standards, document technical decisions, and mentor engineers through design and code reviews.

Leads software engineering within an agile platform team, providing technical direction, developing and reviewing secure production code, troubleshooting systems, and improving automation and operational stability. Drives responsible adoption of AI-assisted engineering practices, evaluates vendor and startup technologies, promotes secure coding and validation standards, and leads software engineering communities of practice. Requires advanced Java or Python skills, cloud-native experience, CI/CD proficiency, SDLC expertise, and financial-services IT knowledge.

Leads software engineering for private cloud infrastructure, including architecture, development, testing, troubleshooting, secure production coding, and operational stability. Drives DevOps, SRE, CI/CD, resiliency, automation, and responsible AI-assisted engineering practices. Reviews code, mentors teams, identifies recurring issues for remediation, and evaluates vendor and internal architectural solutions.

Leads Android software engineering within an agile team, designing, developing, troubleshooting, and maintaining secure, scalable mobile applications. Provides technical leadership and mentoring, creates architecture and design artifacts, uses AI-assisted development tools responsibly, analyzes application data, maintains CI/CD pipelines, integrates REST services, and improves code quality, resiliency, performance, and security.

Leads development of secure, scalable Java backend applications within an agile banking technology team. Designs, codes, tests, troubleshoots, and reviews production software while improving automation, resilience, and operational stability. Evaluates architectures and technologies, promotes software engineering best practices, and coaches teams on AI-assisted development, responsible AI use, cloud-native technologies, continuous delivery, and secure engineering workflows.

Designs, develops, tests, documents, and supports clinical software applications in a regulated production environment. Responsibilities include full SDLC delivery, code reviews, automated testing, architecture participation, observability, incident response, root-cause analysis, operational automation, and compliance documentation. The engineer works with product management and uses AI-assisted development tools while supporting FDA and SOX-controlled systems.

Contributes to clinical software development by implementing features, fixes, and automation under senior guidance. Writes tested, documented code; participates in peer review, requirements discussions, observability, incident analysis, and regulated FDA and SOX change-control practices. Builds characterization and automated tests, uses AI coding assistants, documents operational procedures, and develops production engineering skills in a collaborative healthcare technology environment.

Supports software engineering teams by developing and improving web, mobile, API, and data-driven applications in an Agile environment. Participates in Scrum ceremonies, vulnerability remediation, DevOps tooling improvements, production support, reliability initiatives, and feature development. The intern also learns modern development practices, uses AI-enabled tools, and delivers a final capstone presentation.

Software development intern gaining hands-on experience with Agile development, DevOps tooling, vulnerability remediation, production support, and feature development for web, mobile, API, and data marketplace products. The role participates in Scrum ceremonies, improves development processes, supports system reliability, and uses AI tools responsibly. Interns complete a capstone presentation while collaborating independently and with cross-functional teams in a hybrid environment.