Top Senior Software Engineer Jobs in Dallas, TX

Lead architecture and development of a firm-wide software dependency risk platform on AWS and Java. Own data ingestion, dependency graph modeling, APIs, integrations, technical strategy, and production delivery. Establish agentic AI engineering practices using tools such as Claude, with governance for security, resiliency, auditability, and human validation. Mentor senior engineers, solve complex technical problems, and represent engineering across security, risk, compliance, and platform stakeholders.

Leads architecture, development, and operation of scalable batch and streaming data pipelines on Databricks and Apache Spark. Owns Lakehouse design, cluster configuration, performance tuning, data quality, governance, CI/CD, infrastructure automation, and reusable Python or Java frameworks. Champions secure engineering practices, responsible AI-assisted development, testing, observability, and technical mentorship.

Leads development of secure, scalable, cloud-native microservices and full-stack applications. Designs resilient architectures, writes and reviews production code, troubleshoots issues, and improves operational stability. Drives automation, continuous delivery, AI-assisted engineering practices, responsible AI usage, and software development standards. Mentors engineers, leads communities of practice, adopts modern technologies, and delivers reliable solutions across distributed systems, APIs, databases, and web technologies.

Leads full-stack software engineering within an agile finance technology team. Develops, reviews, debugs, and governs secure production code; drives AI-assisted engineering, automation, monitoring, and operational stability. Provides technical guidance, coaches engineers, evaluates vendor architectures, collaborates with product teams, manages delivery risks, and leads engineering communities of practice. Requires extensive enterprise software development experience across Java, Spring, JavaScript, React, testing, CI/CD, security, event-driven systems, and observability technologies.

Lead end-to-end development of a greenfield enterprise platform for software dependency risk management. Build Java services, APIs, data ingestion pipelines, dependency analysis capabilities, and developer-facing features on AWS. Guide engineers and teams in secure AI-assisted development, code quality, testing, governance, and operational stability. Provide technical direction, influence architecture and product decisions, support production systems, and collaborate with product managers and designers to deliver scalable platform capabilities.

Leads software engineering for large-scale AWS infrastructure and platform services. Designs, develops, tests, secures, and supports production workloads using Python, Terraform, automation, infrastructure as code, and continuous delivery. Provides technical guidance, reviews code, influences architecture and operational decisions, promotes SDLC standards, and governs responsible AI-assisted engineering practices. Serves as a subject matter expert and coaches teams on secure, scalable, and compliant cloud development.

Designs, deploys, maintains, and troubleshoots HPE NonStop payment infrastructure, secure key managers, Etinet servers, and related subsystems. Uses AIOps and AI-assisted practices for incident triage, anomaly detection, automation, documentation, and reliability improvements. Partners with SRE, observability, and cybersecurity teams to govern AI-enabled monitoring, maintain auditability, execute upgrades, and produce operational knowledge such as runbooks and troubleshooting guides.

Lead performance and resiliency engineering for high-volume distributed platforms. Responsibilities include load, stress, and soak testing; capacity modeling; performance tuning; observability; alerting; incident triage; root-cause analysis; resiliency patterns; progressive delivery; automated rollback; and optimization of AWS containerized workloads on EKS and ECS. The role also provides technical leadership, mentoring, and cross-team collaboration to improve reliability, scalability, and production readiness.

Architect and develop Customer 360 data products, pipelines, and integrations across Hadoop, Spark, and Azure. Lead Scala, Python, and SQL development; migrate mainframe applications; build CI/CD pipelines; implement data quality, monitoring, testing, and security practices; tune performance; and coach engineering teams. The role also involves building cloud data platforms with Databricks, Synapse, Delta Lake, Airflow, and Kubernetes, plus conducting proofs of concept for generative AI, RAG, and agentic AI.

Design, develop, test, deploy, support, and maintain scalable enterprise software applications. Lead architecture and design discussions, contribute to technology strategy, collaborate with cross-functional teams, and support Agile delivery through refinement, estimation, testing, and continuous integration. Mentor engineers, conduct code reviews, improve engineering practices, and develop solutions across multiple technology domains using full-stack, cloud, database, and API technologies.

Lead enterprise Salesforce Service Cloud architecture and development for merchant acquisition, onboarding, servicing, fulfillment, and growth. Design scalable platform solutions, integrations, data models, migration strategies, automation, AI capabilities, and DevOps practices. Define technical roadmaps and architecture standards, lead discovery and Agile delivery, document reusable patterns, ensure security and governance, and mentor cross-functional development teams while modernizing customer and contact center experiences.

The Software Engineer Sr. will design, build and maintain high-transaction APIs and Microservices, utilizing Java and collaborating in an Agile environment. Responsibilities include coding, testing, deploying solutions, and preparing technical documentation while adhering to PNC's risk management framework.

The Software Engineer Principal will lead analytics processes, define and maintain APIs, improve query performances, mentor junior staff, and develop analytical solutions for decision-making.

Leads end-to-end software engineering and solution delivery for commercial lending products. Provides architecture direction, hands-on design and coding, code reviews, technical strategy, roadmap development, Agile team leadership, proof-of-concept development, and platform stability improvements. Partners with product, architecture, platform, and leadership teams to deliver secure, scalable enterprise solutions while leveraging cloud, AI, automation, and data engineering capabilities.

Develop LLM-powered automation and agent tooling for legacy code analysis and modernization. Build cloud-native migration services, scalable Spark and Databricks data platforms, ETL frameworks, data models, validation controls, and Airflow-orchestrated workflows. Reverse-engineer mainframe and database workloads, transform legacy logic into microservices, optimize MongoDB schemas, and implement near-real-time data synchronization. Requires extensive data engineering, cloud, Python, and AI framework experience.

Designs and leads enterprise backend systems, streaming services, distributed architectures, APIs, databases, Kubernetes deployments, and DevOps automation. The role also contributes to full-stack delivery, product ownership, technical prototyping, client presentations, and end-to-end application delivery while coordinating onshore and offshore teams.

Leads end-to-end quality engineering for enterprise and distributed applications, including manual and automated testing, API and database validation, Kubernetes application testing, edge-environment validation, defect management, root-cause analysis, and CI/CD integration. Develops test strategies and automation frameworks, supports Agile ceremonies, validates scalability and resiliency, collaborates with cross-functional teams, and mentors junior quality engineers.

Leads software and infrastructure engineering for a network test automation platform. Provides technical direction, architects scalable changes, and drives complex programs across cloud, on-premises, data center, operating system, hypervisor, and networking environments. Establishes AI-assisted engineering governance, secure validation practices, automation standards, observability, telemetry, and CI/CD improvements. Collaborates with technical teams, vendors, and other platforms to modernize infrastructure, mitigate risk, and promote reusable engineering frameworks.

Leads development of secure, scalable software for a distributed multi-tenant platform, including APIs, data ingestion, pipelines, dashboards, and isolated AWS deployments. Designs and operates cloud-native Kubernetes workloads, promotes automation and AI-assisted engineering practices, and champions security, privacy, and supply-chain controls. Evaluates architectures, mentors teams, improves operational stability, and supports platform delivery across regulated environments.

Develop and deploy autonomy software for unmanned surface, underwater, and aerial vehicles in maritime missions. Responsibilities include motion planning, localization and tracking, safety assurance, COLREGS adherence, multi-agent coordination, distributed optimization, rigorous software testing, platform integration, deployment support, mission-log analysis, and autonomy R&D. The role also involves cross-functional collaboration, customer and demonstration support, roadmap development, and mentoring junior engineers. Travel is typically approximately 25% annually.

Develops production-quality C++ software for autonomous and semi-autonomous machine localization, positioning, navigation, and state estimation. Designs algorithms using GNSS, inertial sensors, perception systems, and filtering techniques; researches and deploys localization solutions; and supports architecture, testing, validation, documentation, functional safety, and product quality. Collaborates cross-functionally and mentors junior engineers.

Build scalable automated testing for Java and Spring Boot microservices, REST APIs, event-driven services, databases, and distributed workflows. Develop comprehensive functional, integration, performance, resilience, and recovery tests; validate asynchronous behavior, state transitions, contracts, and failure modes. Integrate automation into CI/CD pipelines, establish quality metrics and release criteria, review AI-generated test code, and mentor engineering teams in test-first practices.

Leads development of secure, scalable backend and full-stack applications for Asset and Wealth Management. Provides technical direction, writes and reviews production code, optimizes microservices, and promotes AI-assisted engineering practices. Collaborates with architects, designers, distributed teams, wealth managers, and stakeholders to deliver AWS-native solutions. Applies Agile practices, CI/CD, Java and Spring expertise, React-based UI development, relational databases, and high-availability architecture while presenting solutions and guiding technology adoption.

Design, develop, test, deploy, and maintain scalable software systems across the full lifecycle. Architect reliable solutions, troubleshoot complex defects and performance issues, lead code reviews, mentor engineers, and improve engineering processes. Collaborate with product management, UX, security, infrastructure, and customers to deliver high-quality enterprise software.

Build production C#/.NET services, REST APIs, and React/TypeScript applications for a high-volume payment risk platform. Own features through design, implementation, testing, code review, and Azure/Kubernetes deployment. Contribute to LangGraph-based agentic applications while developing Python and LLM engineering skills. Work with automated testing, CI/CD pipelines, cloud services, and AI-assisted development tools in a small, senior-focused engineering team.