Top Software Engineer Jobs in Dallas, TX

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.

Diagnose and resolve complex production issues in a Java court case management platform. Responsibilities include debugging backend services, databases, ESB integrations, XML/XSLT transformations, JMS messaging, SOAP/REST services, and third-party e-filing systems. The engineer will collaborate on issue triage, document root-cause analyses, participate in code reviews, support legacy modernization toward Spring MVC and modern front-end frameworks, and maintain production system reliability.

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.

Develop and maintain Android applications across the full product lifecycle. Collaborate with product, design, and business teams to deliver features using Kotlin, Java, Jetpack Compose, MVP/MVVM, and REST APIs. Implement authentication and analytics features, refactor and modularize code, conduct code reviews, write unit tests, support CI/CD builds, document functionality, and continuously improve application architecture and development practices.

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.

Develop and lead automation platforms for enterprise storage and backup infrastructure. Build Python-based APIs, backend services, integrations, automation workflows, and reusable frameworks. Design secure, scalable architectures; create automated test suites and release processes; and support CI/CD practices. The role also involves technical leadership, architectural influence, mentoring engineers, requirements refinement, proof-of-concept work, and collaboration with infrastructure, operations, architecture, and business teams.

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.

Leads software design, development, troubleshooting, and architecture for complex applications. Builds secure production code using Java, Spring, REST APIs, Kafka, PostgreSQL, microservices, and cloud platforms. Drives responsible adoption of AI-assisted engineering tools, establishes validation and secure coding standards, coaches engineers, improves automation and architecture, and contributes to engineering communities and emerging technology initiatives.

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Leads architecture, development, and operation of scalable batch and streaming data pipelines on Databricks and Apache Spark. Owns Lakehouse design, cluster configuration, performance tuning, data quality, governance, CI/CD, infrastructure automation, and reusable Python or Java frameworks. Champions secure engineering practices, responsible AI-assisted development, testing, observability, and technical mentorship.

Leads development of secure, scalable, cloud-native microservices and full-stack applications. Designs resilient architectures, writes and reviews production code, troubleshoots issues, and improves operational stability. Drives automation, continuous delivery, AI-assisted engineering practices, responsible AI usage, and software development standards. Mentors engineers, leads communities of practice, adopts modern technologies, and delivers reliable solutions across distributed systems, APIs, databases, and web technologies.

Leads full-stack software engineering within an agile finance technology team. Develops, reviews, debugs, and governs secure production code; drives AI-assisted engineering, automation, monitoring, and operational stability. Provides technical guidance, coaches engineers, evaluates vendor architectures, collaborates with product teams, manages delivery risks, and leads engineering communities of practice. Requires extensive enterprise software development experience across Java, Spring, JavaScript, React, testing, CI/CD, security, event-driven systems, and observability technologies.

Leads software engineering for mobile build and release platforms. Designs Jenkins and Groovy CI/CD components, develops Python backend services with Django, FastAPI, and MongoDB, and builds AI-assisted developer tooling using LLMs through AWS Bedrock. Partners with iOS, Android, and cross-platform teams to deliver build insights, dashboards, automation, and responsible AI-enabled workflows while ensuring secure coding, testing, resiliency, and agile delivery.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Leads software engineering for large-scale AWS infrastructure and platform services. Designs, develops, tests, secures, and supports production workloads using Python, Terraform, automation, infrastructure as code, and continuous delivery. Provides technical guidance, reviews code, influences architecture and operational decisions, promotes SDLC standards, and governs responsible AI-assisted engineering practices. Serves as a subject matter expert and coaches teams on secure, scalable, and compliant cloud development.

Leads software engineering projects and developer teams building distributed microservices and full-stack systems. Develops cloud-based solutions using Java, Python, JavaScript, TypeScript, SQL, Go, AWS, databases, Docker, and Kubernetes. Mentors engineers, evaluates emerging technologies, collaborates with product managers, supports regulatory needs, and drives iterative technology transformation.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.

Lead performance and resiliency engineering for high-volume distributed platforms. Responsibilities include load, stress, and soak testing; capacity modeling; performance tuning; observability; alerting; incident triage; root-cause analysis; resiliency patterns; progressive delivery; automated rollback; and optimization of AWS containerized workloads on EKS and ECS. The role also provides technical leadership, mentoring, and cross-team collaboration to improve reliability, scalability, and production readiness.

Leads development, testing, deployment, and troubleshooting of Snowflake data warehouse features and cloud data solutions. Builds applications, serverless services, microservices, data lakes, and generative AI capabilities using Python, SQL, AWS, and Terraform. Administers databases and operating systems, improves software reliability through automation, conducts code reviews, and uses CI/CD and Agile SDLC practices. Develops BI reports with Tableau and ThoughtSpot to provide actionable business insights.

Designs, develops, tests, operates, and maintains mainframe software using COBOL and related technologies. Responsibilities include full-stack ownership, architectural design, code reviews, failure analysis, reliability, security, compliance, and collaboration across product teams. The role requires applying agile and DevOps practices, delivering production-ready code, supporting continuous improvement, and communicating effectively with engineers, product owners, scrum masters, vendors, and customers.

Leads full-stack application development, including system analysis, coding, testing, debugging, vulnerability assessment, and software support. Collaborates with product managers, designers, and engineers to deliver scalable web applications using Java, Spring Boot, React or AngularJS, SQL, and Python. Provides technical guidance, conducts code reviews, resolves issues, supports continuous improvement, and advises senior stakeholders with limited supervision.

Support, maintain, troubleshoot, and develop enterprise software products in an Agile environment. Diagnose production issues, perform engineering-level testing, tune SQL performance, document solutions, estimate feature work, assess risks, and collaborate with product managers, product owners, engineering leaders, and stakeholders. The role requires a week of after-hours support availability every three to four months.

Supports, maintains, troubleshoots, tests, and improves PDI enterprise software products. Diagnoses production issues, tunes SQL performance, documents solutions, estimates feature work, and collaborates with product and engineering stakeholders in an Agile environment. Uses AI-assisted development tools and contributes to AI-powered engineering workflows. Provides technical guidance to less experienced engineers and communicates customer risks, status, and escalation needs.