Top Software Engineer Jobs in Dallas, TX

Provides production support, observability, governance, and operational excellence for platform environments. Designs operating models, controls, dashboards, and production metrics; supports audits, incident management, root cause analysis, and release governance. Coordinates cross-functional stakeholders, drives decisions, and improves reliability using AWS, monitoring tools, Kubernetes, CI/CD, and infrastructure technologies.

Develops and troubleshoots secure, scalable Java software within an agile engineering team. Designs and maintains applications across the software development lifecycle, uses React and AWS, analyzes data to resolve problems, applies testing and automation, and leverages AI-assisted development tools while validating outputs for security, quality, and performance.

Leads network automation and software engineering initiatives, designing, coding, testing, debugging, documenting, and reviewing large-scale technology solutions. Develops automation using Python, Ansible, Terraform, APIs, and related tools while establishing engineering standards and best practices. Collaborates with technical leaders and external groups, resolves complex issues, mentors peers, and leads projects and teams. The role also supports security, risk management, observability, and companywide technology initiatives.

Designs, develops, tests, troubleshoots, and maintains secure, scalable software solutions for corporate technology platforms. Creates architecture and design artifacts, analyzes data to improve applications and system architecture, and ensures production stability. Uses enterprise-authorized AI-assisted development tools for coding, testing, troubleshooting, and documentation while validating outputs for correctness, performance, security, and responsible data handling. Collaborates within an agile team and applies SDLC, CI/CD, resiliency, and security practices.

Develop and maintain scalable backend data engineering solutions using Python, PySpark, and Databricks. Build, deploy, and support reliable data pipelines and platform modules for financial reporting and analytics. Design software architectures, troubleshoot complex systems, analyze financial data, participate in code reviews, and collaborate with product managers, architects, and engineering teams. Apply secure coding, agile development, CI/CD, resiliency, responsible AI-assisted development, and enterprise data governance practices.

Leads multiple engineering domains for a regulated, high-throughput financial platform. Responsibilities include hands-on Java and cloud-native development, distributed systems architecture, Kafka event pipelines, AWS infrastructure, production reliability, automated testing, and cross-functional stakeholder communication. The role also establishes enterprise standards for agentic AI-enabled engineering, SDLC automation, governance, security, resiliency, and responsible AI adoption while managing large engineering teams and influencing senior leaders.

Designs and delivers secure, scalable AWS data-platform software. Writes production code, builds data processing using Glue/EMR/Redshift/Athena/Lake Formation, leverages AI-assisted dev tools responsibly, produces architecture artifacts, and drives CI/CD, resiliency, and security improvements.

Builds and maintains secure, reusable, accessible front-end components and design-system libraries using React and JavaScript/TypeScript. Collaborates with designers, accessibility specialists, and engineers to deliver production-ready UI components. Uses AI-assisted development tools, automation, continuous delivery, and agile practices to improve development, testing, documentation, and software reliability. Contributes to technical troubleshooting, code reviews, design-system adoption, and engineering communities of practice.

Designs, develops, tests, troubleshoots, and supports secure, scalable Java and React applications in an agile environment. Builds production code, contributes to architecture, analyzes data for system improvements, supports CI/CD and DevOps practices, and uses AI-assisted development tools responsibly. Preferred experience includes Kafka messaging and AWS cloud technologies.

Design, develop, test, deploy, and maintain Java Spring Boot microservices and REST APIs. Improve application observability using Dynatrace and Elastic Stack, implement authentication/authorization (OAuth2/JWT), support CI/CD pipelines, troubleshoot production/performance issues, produce technical documentation, and lead/influence engineering teams.

Develops and operates secure, scalable cloud software solutions for enterprise observability platforms. Responsibilities include application design, coding, testing, troubleshooting, architecture documentation, AWS infrastructure deployment, container orchestration, networking, Terraform automation, data analysis, and operational stability. The role also requires responsible use of AI-assisted development tools, adherence to secure coding practices, and collaboration within an agile environment.

Develop and maintain embedded software for the F-22 Operational Flight Program and associated test systems. Responsibilities include requirements analysis, software design, development, integration, testing, debugging, documentation, architecture, process improvement, and stakeholder support. Engineers work within agile teams, support real-time systems and simulations, manage software research activities, and contribute to project and supplier performance. The role requires an active Secret clearance, ability to obtain F-22 SAP clearance, and occasional travel under 10%.

Develops and supports secure, high-quality Java backend applications using Spring, Spring Boot, microservices, and REST APIs. Designs complex application architectures, troubleshoots technical issues, analyzes large datasets, and improves software quality, resiliency, and stability. Collaborates within agile software development practices, contributes to engineering communities, and applies authorized AI-assisted development tools responsibly. Preferred experience includes AWS, Kafka or MQ, and modern frontend technologies.

Build and ship full-stack software for CoreWeave’s internal data infrastructure and operational applications. Develop TypeScript, React, and Next.js frontends; Python services on Kubernetes; SQL queries and data models; and AI-enabled interfaces such as text-to-SQL tools, retrieval systems, and agents. Own scoped features through production, including testing and post-release fixes, while collaborating with senior engineers and internal users.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Build and own full-stack AI-enabled products at enterprise scale. Responsibilities include developing RAG and semantic search capabilities, embedding pipelines, document-generation solutions, agentic workflows, validation and guardrail frameworks, and reliable production services. The role emphasizes secure coding, testing, observability, performance, scalability, responsible AI use, and collaboration with product and risk teams in a regulated environment.

Architect and develop safety- and mission-critical real-time software for autonomous aircraft mission-computing systems. Define system architecture, interfaces, data flows, resource budgets, and deterministic performance strategies. Integrate sensors, communications, navigation, autonomy, and mission systems with hardware and systems teams. Lead verification across simulation, laboratory, flight-test, and deployed environments while supporting requirements traceability, certification, cybersecurity, resilience, and lifecycle technical ownership.

Software Engineer Interns design, build, test, and debug production-quality software for autonomous systems. Projects may involve applications, embedded flight software, firmware, machine learning, simulation, APIs, data pipelines, or cloud infrastructure. Interns analyze requirements, collaborate with engineers using Agile practices, and deliver real features or capabilities during a 10–12 week paid internship.

Develops and maintains secure, scalable IBM i software across multiple technical areas. Responsibilities include designing production code and architecture, troubleshooting, analyzing data, supporting HA/DR and performance, managing technical debt, and participating in agile engineering practices. The role requires expertise in IBM i development, LANSA, RPG, CL, SQL, Java, Python, messaging, replication, debugging, and enterprise AI-assisted development tools, with emphasis on validating AI outputs and responsible use.

Develops secure, scalable Java software solutions for JPMorganChase’s Merchant Services technology teams. Responsibilities include system design, microservices development, production coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role contributes to agile engineering practices, CI/CD, application resiliency, security, and responsible use of AI-assisted development tools.

Develops secure, scalable software and data solutions using Python, PySpark, AWS, and Databricks. Designs applications, writes production code, troubleshoots systems, creates architecture artifacts, and analyzes large datasets. Builds and optimizes Spark clusters, validates data quality with SQL, deploys machine learning models, and applies responsible AI-assisted development practices. Collaborates within agile teams to improve application resiliency, security, automation, and operational stability.

Leads mobile software engineering and automation efforts, developing secure production code and testing native mobile applications and browsers across iOS and Android. Coordinates test scenarios, automation, defect resolution, accessibility testing, and operational stability. Guides teams on software design, testing, SDLC practices, and responsible AI-assisted engineering, including validation, security, and governance of AI tools.

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.

Develop and execute advanced RF and MMIC test strategies, automated ATE software, fixtures, and test procedures. Perform RF characterization, calibration, validation, troubleshooting, failure analysis, qualification, and environmental testing. Manage test data, laboratory equipment, technical reporting, and procurement support while maintaining LabVIEW-based systems and associated databases. The role requires expertise in microwave theory, RF instrumentation, semiconductor testing, and precision assembly, along with independent problem-solving and cross-functional collaboration.

Lead software engineer responsible for designing, developing, and delivering secure, scalable Java/Spring microservices. Drive team adoption of enterprise-authorized AI-assisted engineering practices, produce architecture artifacts, improve code quality via automation and CI/CD, troubleshoot complex issues, and coach engineers on responsible AI and secure coding standards.