Top Senior Software Engineer Jobs in Dallas, TX

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.

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.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Lead the design, development, testing, deployment, and operation of secure full-stack applications using frontend and backend technologies. Build scalable APIs and accessible user experiences, improve resiliency and performance, troubleshoot production issues, and guide code quality and architecture. Drive CI/CD, automation, observability, secure development, AI-assisted engineering practices, and technical initiatives across agile, cross-functional teams.

Develop and support a mature Java court case management platform. Diagnose production issues across application, database, and integration layers; investigate ESB defects; work with XML/XSLT, JMS, SOAP, and REST services; collaborate on issue triage and documentation; and contribute to modernization from legacy Java frameworks toward Spring MVC and modern front-end technologies.

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.

Leads architecture, development, testing, integration, and production support for USAA’s mortgage platform transformation. Provides technical direction across multiple Agile teams, conducts design and code reviews, resolves complex issues, mentors engineers, partners with architecture, and applies SRE, AI integration, security, compliance, scalability, and observability practices. The role requires deep expertise in enterprise platform engineering, Blend or Empower, distributed systems, cloud development, APIs, event-driven integration, and full software lifecycle delivery.

Design, develop, test, integrate, customize, and support mortgage platform solutions using Blend or Empower. Resolve complex production issues, develop algorithms, optimize performance, lead design and code reviews, mentor engineers, and influence architecture and quality standards. Collaborate across Agile Scrum teams to modernize systems, integrate AI capabilities, maintain compliance, and deliver scalable, secure, observable enterprise applications.

Lead development of Python-based automation for provisioning, configuring, and managing load balancer infrastructure. Build REST API integrations, reusable Ansible frameworks, and scalable workflows that reduce operational effort and improve reliability. Collaborate with network and platform engineering teams, automate deployments and customer journeys, troubleshoot infrastructure workflows, and support legacy and cloud-native platforms in an enterprise environment.

Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.

Leads development of secure, scalable mobile applications for iOS and Android. Responsibilities include writing and reviewing production code, designing complex front-end solutions, integrating native device capabilities, optimizing performance, implementing automated testing, collaborating with UX teams, and supporting SRE practices. The role also involves advising stakeholders on technology adoption, using AI-assisted development tools responsibly, and following Agile and continuous delivery practices.

Leads software engineering for Connected Commerce, designing, developing, testing, and operating secure Java applications in AWS. Provides technical direction, reviews code, drives AI-assisted engineering practices, and influences product and platform decisions. Requires expertise in ECS, EKS, PostgreSQL, AWS automation, cloud-native development, multi-region deployments, zero-downtime releases, observability dashboards, and responsible AI usage. Coaches engineers and contributes to enterprise engineering standards and practices.

Develop and optimize real-time Ground Control Station software for UAVs, building high-performance client/server systems, React/TypeScript UIs, telemetry processing, mission planning, and low-latency control. Collaborate across autonomy, embedded, backend, and UX teams, contribute to architecture, lead feature development, and produce well-tested, deployable software.

Design, develop, and maintain ground control and mission-planning software for the X-BAT platform. Build full-stack, low-latency, fault-tolerant systems for telemetry fusion, operator UIs (React/TypeScript), communication interfaces, and integrations with autonomy and flight teams. Lead feature development, write well-tested code, and collaborate across embedded, UX, and flight-test teams to deliver field-ready solutions.

Design and develop REST APIs and integrations (OneSpan, Kafka) using Java/Python; build Docker/OpenShift deployments; create message flows with ESQL/IIB; use Apigee for authentication; maintain repositories and CI/CD (Jenkins/Udeploy); lead and mentor developers; produce technical design documents and collaborate with QE to test and remediate defects.

Develop and deploy robotics software for warehouse automation, spanning perception, object detection, planning, manipulation, navigation, and hardware integration. Own features from ideation through testing and deployment, optimize system performance, conduct end-to-end debugging, analyze production data, and collaborate with multidisciplinary engineering teams. The role also involves simulation, documentation, safety compliance, and occasional domestic customer-site travel.

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.

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.

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 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.