Top Software Engineer Jobs in Dallas, TX

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.

Supports Agile software development teams through feature development, testing, vulnerability remediation, DevOps tooling improvements, and production support. Participates in Scrum ceremonies and contributes to web, mobile, API, and data-driven applications. The intern gains full software development lifecycle experience, applies AI-enabled tools responsibly, completes a capstone presentation, and collaborates on improving reliability, scalability, product quality, and delivery speed.

Develop and test full-stack banking and credit card applications across web and mobile channels. Build Angular frontends and Spring Boot microservices, create automated and manual tests using BDD, Selenium, Appium, and Postman, and maintain Jenkins CI/CD pipelines. Validate ADA accessibility, manage testing artifacts and traceability, perform defect root-cause analysis, support production releases, and collaborate with distributed Agile teams. The role also provides technical leadership, process improvement, documentation, and mentoring.

Designs, builds, and supports cloud-native platform capabilities centered on Kubernetes and AKS. Responsibilities include developing container platforms, Helm charts, deployment automation, CI/CD pipelines, developer self-service tools, container security controls, reliability improvements, troubleshooting, and cloud-native standards. The role partners with application, security, and architecture teams to modernize enterprise software delivery and evaluates emerging technologies, including generative AI tools.

Leads native mobile and backend software development across analysis, design, coding, testing, implementation, and support. Translates user stories into secure, scalable financial applications, manages technical designs and automated testing, and oversees SDLC quality and compliance artifacts. Leads and mentors engineering teams, manages delivery risks, estimates work, coordinates distributed resources, and drives process improvements. Requires strong Android, backend, cloud, CI/CD, architecture, AI tooling, stakeholder management, and project delivery expertise.

Lead a team and portfolio building cloud-native, distributed microservices and full-stack systems to meet regulatory needs. Collaborate with product managers, mentor engineers, experiment with new technologies, and occasionally code or review code. Deliver robust AWS-based solutions using languages like Java, Python, Go, Scala, Node and container orchestration.

As a Distinguished Engineer, you will lead technical initiatives in Asset Management, drive innovation, mentor teams, and ensure engineering excellence across Capital One's cloud operations.

Design, architect, and develop distributed backend systems and RESTful microservices using Java and Spring Boot. Integrate with AWS serverless services, build CI/CD pipelines, implement automated testing, mentor junior engineers, lead full software lifecycle, and optimize performance and security.

Design, build, and scale resilient, distributed underwriting systems; collaborate cross-functionally; implement APIs and cloud-native solutions; apply DevOps practices, container orchestration, and database technologies; drive architecture, automation, and AI-enabled underwriting improvements.

Designs, develops, deploys, and supports scalable financial applications using Java, Spring Boot, microservices, cloud platforms, Kubernetes, and Kafka. Leads blockchain connectivity, digital asset servicing, tokenization, custody, settlement, and real-time payments solutions. Drives architecture and code reviews, DevOps automation, secure coding, observability, SRE practices, and high-throughput transaction processing while collaborating with product, compliance, risk, operations, and security teams.

Senior hands-on technical leader who designs and delivers scalable, secure, cloud-native enterprise software. Leads .NET development, integrations, RFID/IoT solutions, data platforms, and applies AI-assisted/Agentic Development Lifecycle practices. Provides architecture, mentoring, code reviews, and operational support while improving performance, reliability, and engineering efficiency.

Design, develop, test, and integrate geospatial software capabilities across the full SDLC. Collaborate in Agile teams, integrate cross-system capabilities, perform prototyping, contribute documentation, and support deployment and maintenance while applying GEOINT/SIGINT/IMINT domain knowledge.

Designs, develops, and delivers scalable software across cloud-native and on-premises architectures. Responsibilities include building AI-enabled applications, leading complex features from technical design through completion, applying secure coding and privacy practices, and using AI-assisted development tools. The role also involves collaborating across teams, potentially mentoring engineers, and working with cloud platforms, Kubernetes, CI/CD, infrastructure as code, and network automation.

Develop and support scalable Python-based RESTful APIs and cloud infrastructure throughout the software development lifecycle. Responsibilities include system design, implementation, testing, deployment, security, database integration, microservices, CI/CD, containerization, message processing, documentation, and maintenance. The role collaborates with product, UX, architecture, and engineering teams in an Agile/Scrum environment while using AI-assisted development tools and following secure, maintainable coding practices.

Provides technical leadership for agile software engineering teams, architecting secure enterprise-scale IBM i systems and driving development, testing, reliability, and modernization. Leads AI-assisted engineering adoption with governance and validation standards, mentors engineers, manages technical debt and resiliency roadmaps, oversees incident troubleshooting, and partners with product and business stakeholders on technical strategy. Requires deep IBM i, DB2 for i, LANSA, integration, debugging, HA/DR, and legacy modernization expertise.

Leads architecture, development, debugging, resiliency, and operational stability for enterprise IBM i software systems. Establishes engineering standards, mentors teams, governs responsible AI-assisted development, and drives modernization, automation, technical debt remediation, and SDLC improvements. Oversees DB2, LANSA, IBM MQ, replication, Java and Python integrations, HA/DR strategies, incident response, performance optimization, and cross-functional technology roadmaps.

Lead software infrastructure engineering for a payment data platform. Responsibilities include deploying and operating ClickHouse clusters, designing scalable AWS infrastructure, developing infrastructure as code, optimizing performance and costs, managing security, automating provisioning and deployments, troubleshooting Linux systems, and maintaining operational tooling. The role also leads architecture efforts, technical problem-solving, engineering community contributions, and adoption of secure, human-in-the-loop agentic AI engineering practices.

Leads software engineering efforts within an agile team, designing, developing, troubleshooting, reviewing, and securing production code. Drives AWS-based platform development, Kubernetes adoption, automation, CI/CD, resiliency, and security practices. Leads responsible adoption of AI-assisted engineering tools, establishes validation standards, mentors teams, evaluates vendor technologies, automates recurring remediation, and promotes engineering communities of practice.

Leads the design, development, and operation of scalable data platforms, pipelines, and control-plane services using Python, PySpark, SQL, Databricks, and AWS. Builds APIs, SDKs, orchestration, governance, observability, and automated remediation capabilities. Ensures data quality, security, lineage, CI/CD, and production reliability while mentoring engineers and promoting responsible AI-assisted development practices.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Leads development of resilient, scalable Java and Python services, enterprise integrations, and AI-assisted engineering practices. Architects microservices, Kubernetes deployments, messaging, observability, and backend infrastructure. Builds ML pipeline and feature-store capabilities for fraud and risk models, operationalizes models, and creates agentic AI services with production guardrails, monitoring, governance, and auditability. Mentors engineers, coordinates delivery across stakeholders, and ensures security, performance, testing, and operational requirements.

Leads software engineering efforts within an agile banking technology team. Provides technical guidance, develops and reviews secure production code, drives AI-assisted engineering practices, influences application design and technical operations, and supports system design, testing, troubleshooting, and production systems. Requires strong Java and Spring Boot skills, clean coding and design-pattern expertise, full software lifecycle experience, and experience with low-latency, high-throughput systems.

Designs, develops, tests, implements, and deploys software applications using C#, .NET, SQL Server, JavaScript, REST APIs, and Entity Framework. Translates business requirements into maintainable solutions, troubleshoots complex issues, participates in Agile projects, follows SDLC and quality processes, documents technical work, and provides guidance to less-experienced developers.

Designs, develops, supports, and enhances complex software applications using C#, ASP.NET MVC, Web API, React, and SQL Server. Owns application delivery from requirements through production, including estimation, coding, testing, documentation, deployment, troubleshooting, and performance tuning. Provides technical leadership across Agile teams, facilitates team meetings, collaborates with stakeholders, and supports high-severity production issues.