Top Software Engineer Jobs in Dallas-Fort Worth, TX

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Customer-facing cloud solution architect responsible for designing, demonstrating, and driving adoption of Microsoft Cloud and AI solutions. Support pilots, proofs-of-concept, design sessions, and partner engagements; remove technical blockers, define success metrics and adoption plans, and enable customer skilling and scale through partners and internal resources.

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.

Develops, tests, troubleshoots, documents, and maintains PeopleSoft customizations. Responsibilities include resolving defects and configuration issues, advising on technical solutions, collaborating with functional analysts, migrating projects through development and test environments, and preparing production migration requests. The role requires expertise in PeopleSoft modules, development tools, integrations, reporting, security configuration, databases, web servers, upgrades, and selective adoption processes.

Leads the Innovation Lab as its senior technical authority, translating business opportunities into prototypes, proofs of concept, pilots, and production-ready software. Designs full-stack and AI-enabled applications, provides architecture direction, establishes engineering standards, evaluates emerging technologies, and guides technical delivery across initiatives. Partners with cybersecurity, data, architecture, and business teams; mentors engineers; and helps transition successful innovations to broader delivery teams.

Lead the Innovation Lab’s software engineering and technical architecture efforts, translating business opportunities into prototypes, proofs of concept, pilots, and production-ready solutions. Design full-stack and AI-enabled applications, establish engineering standards, evaluate emerging technologies, and guide technical delivery across initiatives. Partner with cybersecurity, architecture, data, and business teams, mentor engineers, and transition successful innovations to broader delivery teams.

Leads delivery of scalable software features and AI/ML-enabled solutions across the full software development lifecycle. Responsibilities include coding, testing, CI/CD, observability, performance monitoring, requirements analysis, stakeholder collaboration, technical mentoring, and continuous improvement. The role is fully onsite in Dallas and focuses on reliable software delivery, automated testing, generative AI integration, and engineering excellence.