Top Senior Software Engineer Jobs in Dallas, TX

Design, develop, and modernize enterprise-scale applications, RESTful APIs, microservices, and distributed systems. Build cloud-neutral solutions across AWS and Azure, support legacy application migrations, participate in architecture and code reviews, troubleshoot production issues, document technical designs, and mentor engineers. The role emphasizes scalable, secure, high-performance backend systems, technical leadership, and engineering best practices.

Develop and maintain C#/.NET and React applications across on-premises, cloud, and hybrid environments. Build APIs, microservices, and automated CI/CD deployments; support Azure or AWS architectures, DevOps, security, monitoring, and application migrations. Collaborate with product, architecture, infrastructure, cybersecurity, and QA teams. Troubleshoot complex issues, participate in code reviews, ensure regulatory compliance, and develop testing, audit, risk assessment, and disaster recovery processes.

Develop and deploy full-stack Foundry-integrated applications supporting manufacturing, supply chain, aircraft operations, MES, ERP, and analytics. Build backend services, data transformations, APIs, and React interfaces; model large datasets; integrate Palantir Foundry APIs and ontology; write tested, maintainable code; collaborate with cross-functional teams; and contribute to architecture and technical roadmaps.

Build and maintain metadata capture, transformation, and delivery pipelines for a data management platform. Develop backend services with Python, Java, and Node.js; integrate relational databases and REST APIs; implement Terraform infrastructure; and support GitLab CI/CD. Optimize distributed systems for performance, reliability, scalability, and secure asynchronous processing. Write automated tests, troubleshoot services using operational metrics, and contribute to AI/ML metadata pipelines, search, data lake, and LLM-powered initiatives.

Build and operate full-stack applications and AI-facing features for CoreWeave’s internal data platform. Responsibilities include developing TypeScript, React, Next.js, and Python services; designing APIs and relational data models; integrating analytical data platforms; deploying on Kubernetes; and owning production reliability, testing, observability, and on-call support. The role also involves collaborating with non-engineers to define processes, shipping LLM-backed applications, and evaluating AI output quality.

Lead software engineering delivery of secure, scalable, cloud-native microservices applications. Design and develop production code, review and debug others’ work, resolve technical issues, improve application resiliency, automate recurring remediation, and support zero-downtime releases. Collaborate within agile teams, apply domain modeling and modern architectural patterns, lead technical communities of practice, mentor others, and drive adoption of effective engineering practices.

Leads the design, development, testing, debugging, integration, and optimization of complex aerospace software systems. Defines requirements, conducts code reviews, documents software, mentors junior engineers, collaborates with multidisciplinary teams, and drives improvements in software performance and quality. The role supports hardware integration and requires occasional travel, hybrid work, and an active Secret U.S. security clearance.

Leads software engineering within JPMorgan Chase’s Risk Technology team, designing, developing, testing, debugging, and operating secure, scalable applications. Reviews production code, automates recurring issue remediation, evaluates vendor and architectural solutions, promotes emerging technologies and AI adoption, and leads software engineering communities of practice. Requires strong Java and AWS experience, cloud-native development, CI/CD, agile methodologies, application resiliency, security, and financial-services technology knowledge.

Develop and maintain reliable Android and cross-platform software while diagnosing complex production issues through logs, telemetry, and root-cause analysis. Build AI-enabled log analysis, incident triage, RAG workflows, and automation to reduce debugging effort and MTTR. Implement and validate fixes through CI/CD pipelines, identify recurring defects, and improve system reliability in collaboration with engineering and operations teams.

Lead an agile software engineering team developing secure, scalable, high-quality technology products. Responsibilities include writing and reviewing Java and Spring code, guiding technical teams, shaping product and application design, supporting production systems, influencing engineering practices, and serving as a subject matter expert. The role requires experience with system design, testing, production support, XZBoost, model hosting, and low-latency, high-throughput systems, with preferred exposure to Big Data and agentic AI.

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.

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.

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.

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 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.

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.