Top Software Engineer Jobs in Dallas, TX

Develops secure, scalable back-end software for Asset and Wealth Management products using Java, Spring Boot, microservices, and REST APIs. Responsibilities include designing, coding, debugging, troubleshooting, analyzing data, and collaborating across upstream and downstream systems throughout the software development lifecycle. The engineer uses authorized AI coding tools while validating outputs through testing, peer review, and secure coding practices.

Develops secure, scalable software solutions in Python and Java within an agile corporate technology environment. Responsibilities include system design, coding, testing, troubleshooting, architecture documentation, data analysis, and operational stability. The role uses Docker, Kubernetes, AWS cloud services, CI/CD, and enterprise-authorized AI-assisted development tools. Engineers also validate AI-generated code, support secure and resilient applications, and contribute to engineering communities and team improvement.

Designs and operates scalable infrastructure for New Relic’s global service mesh, load balancing, ingress data plane, DNS, and CDN systems. The role develops automation and infrastructure-as-code, builds CI/CD pipelines, supports multi-cloud environments, and improves reliability across large-scale services. It requires Go or Python, AWS, networking, Kubernetes, and Terraform experience, with collaboration across product and platform teams.

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.

Design, build, and maintain infrastructure and application components for stable, secure, cloud-native systems. Develop Java/Spring Boot services, use AWS/Azure and Kubernetes, support deployments/configuration, analyze large datasets, and apply enterprise AI-assisted development tools while ensuring secure, production-ready code.

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.

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.

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.

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.

Build, operate, and scale AWS production environments using EKS, ECS, and Terraform. Maintain CI/CD pipelines, Akamai CDN and security configurations, certificates, monitoring dashboards, alerts, and incident-response processes. Improve reliability, observability, automation, resiliency, and secure operations for application and AI-enabled services. Support change management, troubleshooting, documentation, root-cause analysis, and responsible use of AI-assisted development tools.

Leads a Scrum team developing and modernizing Salesforce Sales Cloud and digital marketing capabilities. Designs scalable, secure solutions, integrates Salesforce with backend systems and portals, oversees deployment and quality standards, collaborates with architects and product owners, supports testing and debugging, and mentors junior developers. Requires extensive Salesforce architecture, configuration, coding, integration, deployment, Agile, and certification experience.

Leads development of internet-scale applications across the software development lifecycle. Builds secure, high-quality Java applications using Spring frameworks, relational databases, and SQL; reviews and debugs code; and ensures operational stability. Drives responsible adoption and governance of AI-assisted engineering tools, establishes validation standards, and coaches engineering teams on secure usage. Collaborates with stakeholders in Agile environments and promotes automation, testing, reusable patterns, and continuous improvement.

Design, develop, and operate a production agentic data platform using Spark, Kafka, Airflow, Snowflake and AWS. Write secure high-quality code across frontend and backend, leverage enterprise AI-assisted development and LLMs (Claude Code, agents, RAG, embeddings), build autonomous agents and MCP server components, apply secure/responsible AI practices, troubleshoot systems, and own full-stack application/platform delivery with CI/CD, containers, and observability.

Leads software engineering projects and manages developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, mentors engineers, evaluates and occasionally writes code, and drives technology modernization using Java, Python, AWS, databases, containers, and related technologies to address regulatory and customer needs.

Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

Design, develop, and troubleshoot secure, scalable React and Python applications. Use enterprise-authorized AI-assisted development tools responsibly to improve code quality. Produce architecture artifacts, build automation tests, analyze data for improvements, contribute to engineering communities, and support CI/CD, resiliency, and security practices.

Design, develop, and troubleshoot React/Python applications; produce secure, high-quality production code; use AI-assisted development tools responsibly; create architecture artifacts; build tests and visualizations; improve system resiliency and coding hygiene; contribute to engineering communities.