Top Software Engineer Jobs in Dallas-Fort Worth, TX

Supports Oracle-based application development through coding, testing, debugging, system integration, technical documentation, code reviews, and enterprise system support. Develops Oracle EBS solutions, database structures, interfaces, forms, reports, and technical specifications. Provides user support during installations and training while collaborating on business and technology initiatives.

Designs, develops, deploys, and enhances UiPath RPA automations. Leads solution design, code reviews, technical guidance, documentation, best-practice development, process assessments, testing, UAT, rollout, and performance monitoring. Collaborates with business stakeholders and development teams, mentors engineers, supports UiPath Orchestrator and robots, and may participate in on-call rotations. The role requires strong programming, cloud, integration, solution design, and communication skills, with healthcare insurance experience preferred.

Build and architect low-latency .NET APIs, backend services, and Angular interfaces for a large-scale financial services platform. Develop microservices and message-driven systems, define OpenAPI contracts, maintain test automation, conduct code reviews, and manage production services through GitHub Actions and Splunk. Collaborate in Agile/Scrum teams while using AI coding tools to accelerate development and deliver investment decision tools.

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.

Develop and operate high-throughput, low-latency telemetry pipelines and cloud services for Azure AI/HPC infrastructure. Build observability, monitoring, analytics, and automation capabilities; own architecture through deployment and operations; and lead incident response, root-cause analysis, reliability improvements, and operational readiness. Partner across engineering and platform teams, influence technical roadmaps, mentor engineers, and apply distributed systems, AI infrastructure, and cloud operations practices at hyperscale.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers to translate requirements into technical designs, drive engineering best practices (CI/CD, testing, observability), deliver end-to-end solutions, lead technical workstreams, and apply AI/LLM approaches where appropriate to produce production-ready outcomes.

Define architectural direction for Azure Specialized platform services and lead the design of highly available distributed cloud systems. Drive reliability, scalability, observability, security, diagnostics, and operational improvements across engineering organizations. Establish service health frameworks, SLOs, metrics, and governance for mission-critical services. Mentor engineers, influence technical strategy, resolve complex cross-system challenges, and advance AI-assisted troubleshooting and platform modernization.

Supports the corporate database environment by managing SQL Server maintenance plans, monitoring performance and scheduled jobs, handling backups and restores, and developing databases, queries, views, jobs, and stored procedures. Coordinates with web and report developers, manages database releases across staging and production, documents processes, and provides occasional after-hours support for critical outages.

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.

Designs, builds, and operates scalable enterprise applications using Java, React, Python, microservices, and cloud platforms. Owns architecture and technical direction, integrates generative AI capabilities, leads complex delivery, and collaborates with data science teams on production AI services. Mentors engineers, drives testing and DevSecOps practices, resolves complex production issues, improves security, and communicates technical trade-offs across product, design, and executive stakeholders.

Design and architect secure, scalable, cost-efficient, multitenant SaaS solutions using .NET and AWS. Define architecture blueprints, solution patterns, and customization boundaries; translate requirements into technical specifications; assess existing systems; lead architecture reviews; estimate solutions; ensure performance and reliability; and mentor junior engineers.

Design and maintain backend services, including APIs for payment, subscriptions, and text to speech, while optimizing for performance and collaborating with cross-functional teams.