Top Software Engineer Jobs in Dallas, TX

Lead resilience engineering across enterprise platforms: define architecture and standards for observability, disaster recovery, and chaos engineering; drive incident response and root-cause remediation; mentor engineers; evangelize technical vision and reusable solutions to improve reliability and operational maturity.

Lead the design, delivery, and re-architecture of an enterprise CI/CD platform used by thousands of developers. Build scalable platform capabilities, define system abstractions, embed compliance controls, lead technology projects, establish engineering standards, mentor engineers, and work across cloud, containerization, distributed systems, workflow engines, and multiple programming languages.

Develop and operate production microservices that operationalize predictive and generative AI models for claims systems. Responsibilities include building AWS-based feature pipelines, APIs, event-driven integrations, monitoring, alerting, CI/CD, and model evaluation frameworks. The engineer partners with data scientists, product teams, and enterprise platform teams, supports live services through on-call responsibilities, translates requirements into technical designs, and leads implementation and continuous improvement.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

Build and maintain full-stack customer-facing web applications using React, TypeScript, Java, APIs, and micro-frontend architecture. Develop automated tests, debug front-end and backend issues, participate in code reviews, and collaborate with Product and QA. The role also requires using and improving AI-assisted development workflows, including code generation, refactoring, testing, and pull request creation.

Develop and maintain full-stack web applications, tools, and infrastructure. Translate product requirements into testable tasks, participate in code reviews, use AI-assisted development, improve shared engineering processes, advocate for code and test quality, and investigate production issues. The role requires functional or modern statically typed language experience, PostgreSQL optimization, and occasional DevOps and monitoring work.

Build and ship full-stack product experiences for Nextdoor’s Rewards & Incentives pod. Develop frontend features with React and backend systems with Python/Django, contributing to data modeling, architecture, implementation, testing, and iteration. Collaborate with product, design, frontend, backend, data science, infrastructure, and machine learning teams. Participate in agile practices, AI-assisted workflows, and an on-call shadow rotation after onboarding.

Lead mobile automation testing for browser and native apps using mobile cloud platforms and emulators. Develop and execute test scenarios across phases, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test automation teams in client-server environments.

Lead design and execution of mobile web and native app test automation across testing phases. Use mobile cloud platforms and emulators, implement CI/CD with Jenkins, perform API testing with JMeter, ensure accessibility compliance, and manage test teams and test scenarios throughout the application lifecycle.

Leads architecture and hands-on delivery of complex backend, UI, API, and production AI applications. Owns ADK and LangGraph agentic workflows, establishes engineering standards, drives resiliency and operational readiness, and mentors engineers. Partners across Product, Design, Security, and SRE to deliver secure, scalable systems using Python, React, AWS, FastAPI, databases, CI/CD, and modern software engineering practices.

Implement and enhance SAP IBP Supply & Response and Inventory Optimization solutions. Own technical architecture, integrations, configurations, software delivery, documentation, and continuous improvement. Translate business requirements into scalable solutions, collaborate with cross-functional teams, and work within Agile frameworks. The role requires deep SAP IBP expertise, SAP ERP integration experience, and strong technical, analytical, communication, and leadership skills.

Leads software engineering projects and developers building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. The role uses Python, JavaScript, Java, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes.

Develop and maintain scalable big data and cloud solutions using Scala, Python, Spark, Azure, and AI/ML technologies. Design analytics rules engines, APIs, distributed systems, and machine learning prototypes; evaluate tools and frameworks; analyze requirements; contribute to architecture and estimates; perform code reviews, documentation, testing, and production support; and collaborate across engineering, QA, architecture, and management teams.

Design, develop, test, document, and maintain scalable big data and cloud solutions. Build analytics rules engines, APIs, AI/ML prototypes, and enterprise integrations using Scala, Python, Azure, Spark, and related technologies. Evaluate tools and frameworks, define technical architecture, analyze requirements, estimate development work, conduct code reviews, collaborate across teams, provide production support, and improve existing applications.

Design, develop, test, operate, and maintain iOS applications and mobile SDKs. Write production-ready, testable code, ensure scalability, reliability, and security. Troubleshoot issues across mobile and backend, perform code reviews, and work within agile and DevOps practices to support high-scale production systems.

Leads design and delivery of secure Java and Spring Boot microservices on AWS. Responsibilities include architecture, API and data modeling, production performance and resilience, observability, testing, CI/CD, incident management, code reviews, mentoring, and technical standards. The role also leads responsible adoption of AI-assisted engineering tools, evaluates vendors and architectures, and promotes secure, compliant development practices.

Leads development of secure, scalable backend services and APIs using Java, Spring Boot, microservices, AWS, and cloud-native technologies. Designs infrastructure with Terraform, manages containerized applications, builds event-streaming solutions, and works with relational and NoSQL databases. Drives code quality, automation, observability, SRE practices, remediation of recurring issues, and responsible use of AI-assisted engineering tools. Evaluates vendor and internal architectural solutions while reviewing and troubleshooting production code.

Leads software engineering initiatives focused on application reliability, stability, support, and operational improvement. Designs and develops scalable systems, troubleshoots complex technical issues, analyzes data, and builds monitoring and reporting solutions. Applies AI-assisted development and agentic AI to automate incident detection, remediation, root-cause analysis, alerting, runbooks, and observability. Works with Java or Python, Kubernetes, AWS, monitoring platforms, Splunk, ticketing systems, CI/CD, and agile practices while mentoring engineers and promoting secure, responsible AI adoption.

Leads the design, development, testing, troubleshooting, and delivery of scalable Java software systems for Identity and Access Management. Produces architecture artifacts, applies secure coding and non-functional requirements, mentors engineers, and drives Agile delivery. Leads adoption of enterprise-approved AI-assisted development tools, establishing standards for validation, security, and responsible use. Collaborates with stakeholders, evaluates system dependencies, and implements continuous improvements across software delivery and automation practices.

Designs, builds, deploys, and operates full-stack cloud-native applications across user interfaces, APIs, data platforms, infrastructure, and CI/CD. Owns technical vision for business capabilities, translates requirements into solutions, supports production systems, and participates in incident response and on-call rotations. The role also establishes observability, secure engineering, automated testing, DevSecOps, documentation, and AI-assisted development practices while mentoring engineers and providing technical leadership.

Designs and maintains Python-based automation frameworks for global data center network provisioning and lifecycle management. Builds APIs, infrastructure-as-code workflows, CI/CD integrations, observability tooling, and self-service networking capabilities using Ansible, Terraform, and Jinja2. Collaborates with network, platform, and security teams, contributes to architecture, supports production reliability, and participates in on-call incident response.

Build and maintain full-stack servicing applications across front end and back end. Implement features, write automated tests, participate in code reviews, deploy to AWS/EKS via CI/CD, use AI code generation tools, and produce clear documentation while collaborating with product and design teams.

Own end-to-end full-stack features for servicing applications: design, implement, deploy, monitor, and optimize front-end (Next.js/React) and back-end (.NET/C#, NestJS GraphQL). Operate services on AWS/EKS via CI/CD, use AI coding tools to increase velocity, participate in on-call rotation, collaborate with product teams, and mentor junior engineers.

Participates in Texas Instruments’ Career Accelerator Program while working on a software design team. Learns embedded systems design, software development processes, real-time coding and debugging, TI device architecture, open-source licensing, and SDKs. Gains exposure to software applications, systems, and testing through formal training, projects, and on-the-job experiences. The role requires a relevant bachelor’s degree and a minimum 3.0 GPA, with C/C++, assembly, software lifecycle, communication, collaboration, analytical, and problem-solving skills preferred.

Leads development of secure, scalable native mobile applications within an agile engineering team. Responsibilities include designing and reviewing production code, troubleshooting technical issues, mentoring engineers, applying AI-assisted development practices responsibly, improving automation and application resiliency, maintaining CI/CD pipelines, and evaluating vendor and architectural solutions. The role emphasizes Android development with Kotlin alongside knowledge of iOS technologies, mobile architectures, testing frameworks, REST services, and secure software engineering.