Top Senior C# Jobs in Houston, TX

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

Develop full-stack web applications using ReactJS, Redux, JavaScript, C#, and ASP.NET Web API. Build front-end integrations with microservices, REST APIs, GraphQL APIs, third-party libraries, and database-driven applications. Implement asynchronous programming and state management, apply modern web security practices, and work with relational and non-relational databases including NoSQL, Elasticsearch, and time-based databases.

The QA Automation Tester will define test automation strategies, analyze product requirements, ensure quality delivery, advocate for improvements, and work with development teams to achieve timely releases.

Develop and architect solutions utilizing Microsoft technologies. Requires experience in large-scale infrastructure projects and problem-solving capabilities.

The Middleware Developer will architect and develop solutions using various technologies, ensuring high scalability and availability of systems for large-scale critical infrastructure projects.

Design and implement scalable first-mile networking solutions for Microsoft 365 Substrate and COSMIC. Drive design, dependency identification, coding, optimization, debugging, and on-call monitoring. Analyze production telemetry to improve reliability, performance, and observability. Act as a DRI, lead design and release plans, and collaborate with stakeholders to meet product requirements at global scale.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Designs, develops, and maintains automated test frameworks and suites for complex API and web applications. Tests software functionality, performance, scalability, and database integrations; debugs defects and verifies fixes. Collaborates with engineering, QA, product, and cross-functional teams on test strategy, code reviews, sprint planning, and root-cause analysis. Contributes to CI/CD automation and creates test plans, cases, procedures, and reports.

Leads software design, development, debugging, testing, deployment, and production support for web applications. Conducts code reviews, builds reusable code, improves legacy systems, monitors system health, optimizes performance, and responds to on-call incidents. Collaborates with engineering, product, design, customers, and vendors; mentors junior engineers; maintains development standards; and champions API-first development. Requires full-stack experience, cloud-native application deployment, database expertise, REST APIs, testing, and AI-assisted development workflows.

Design, develop, and maintain automated testing solutions for customer-facing applications and web services. Build test frameworks, integrate tests into CI/CD pipelines, and improve coverage, reliability, security, and release quality. Develop front-end and web-service automation using Groovy/Geb and Java/HttpClient, troubleshoot application issues, participate in code and test reviews, and collaborate with Agile development teams throughout the software lifecycle.

Manages software engineers and integration specialists building, deploying, and operating Fastpath Access Governance services. Owns the technical roadmap, delivery, quality, architecture, and operational health of cloud-native services. Partners with product, UX, and architecture teams in Scrum, drives AI-assisted engineering practices, oversees ERP and business application integrations, and develops a supportive, high-performing engineering culture.

Lead and grow a distributed software engineering team building Azure Kubernetes Service infrastructure. Define architecture, drive design reviews, ensure security, reliability, observability, CI/CD, and operations at scale. Guide implementation, incident response, and continuous improvement while coaching engineers and aligning stakeholders across Azure product teams.

Design, develop, and operate distributed services for Azure Storage geo-replication. Improve durability, regional resiliency, failover readiness and disaster recovery. Collaborate across teams, analyze telemetry, diagnose production issues, act as a DRI, and leverage AI-assisted engineering tools to improve productivity and reliability.

Design and deliver distributed storage systems for AI and machine learning workloads at hyperscale. Lead architecture, development, testing, deployment, and innovations in scalability, performance, security, and efficiency. Collaborate with AI researchers and cloud infrastructure engineers, mentor engineers, and guide technical strategy for high-availability, durable, high-performance storage supporting training and inference.

Design and deliver large-scale, cloud-native and AI-enabled Kubernetes/AKS solutions. Implement, optimize, and maintain Kubernetes components and container orchestration across Azure, on-prem, and edge. Integrate AI capabilities, participate in on-call rotations, mentor engineers, and collaborate cross-functionally to improve reliability, observability, performance, and operational consistency at scale.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Architect and develop MuleSoft integrations, APIs, connectors, and flows across enterprise systems. Oversee platform architecture, deployment automation, security, authentication, governance, and alignment with technology strategy. Build integrations using Mule 4, CloudHub, DataWeave, and Anypoint Platform while documenting data flows and technical designs. Provide subject matter expertise, guide internal and vendor resources, lead requirements gathering, and mentor technical teams.

The Senior Software Engineer role involves modernizing healthcare payment systems using C#, .NET, SQL, and cloud technologies while leveraging AI tools for efficiency.

Design, develop, test, deploy, and support enterprise Microsoft Power Platform solutions using Power Apps, Power Automate, Power BI, and Dataverse. Integrate solutions with Microsoft 365, SharePoint, Azure services, Azure SQL, and external data sources. Gather requirements, document solutions, perform testing, troubleshoot issues, and provide technical leadership on governance and the Power Platform Center of Excellence. Mentor developers and support ongoing platform enhancements.

Design, develop, test, and deploy scalable frontend and backend software across distributed cloud architectures. Lead complex feature and service implementation, translate requirements into technical designs, contribute to architecture, and promote quality, security, observability, and maintainability. Collaborate cross-functionally, conduct code reviews, mentor engineers, mitigate technical risks, improve development practices, and evaluate tools that enhance engineering productivity and product quality.

Lead front-end modernization and deliver full-stack features using React, .NET, PostgreSQL, and cloud technologies. Build accessible, performant applications and design systems; extend APIs, optimize SQL, contribute to Kafka pipelines, and improve testing, observability, CI, and security. Use AI coding agents for migrations, refactoring, and test generation while applying strong engineering judgment. Collaborate with product, UX, DevOps, and stakeholders to deliver reliable healthcare payment-integrity software.

Designs and implements enterprise AWS solutions for contact centers, primarily using Amazon Connect and Salesforce Service Cloud Voice. Responsibilities include developing integrations, configuring cloud services, advising on technical requirements, leading development teams, conducting code reviews, troubleshooting, documenting solutions, and training users. The role requires programming proficiency, AWS architecture knowledge, infrastructure automation, CI/CD experience, and the ability to lead technical delivery with minimal direction.

Lead software engineering teams and complex client engagements delivering AI-first, cloud-native applications. Manage 5–8 technical direct reports, own requirements, architecture, backlogs, technical decisions, testing, risk escalation, and executive client communications. Partner with architects, engineers, project managers, sales, and stakeholders on discovery, delivery, modernization, integrations, and pre-sales. Mentor team members and contribute hands-on to AWS and AI-enabled software development.

Lead as a customer‑embedded principal engineer to design, build, and ship production-grade solutions. Translate business needs into technical approaches, influence senior stakeholders, accelerate delivery in ambiguous environments, and transition work to FDE crews while driving long-term account impact.

Manage and grow the Video Enablement engineering team, own core video pipeline (ingest, transcode, storage, playback), enable third-party device integrations, collaborate on video roadmap, ensure scalable resilient AWS infrastructure, mentor engineers, contribute technically when needed, and support production incidents and cross-team enablement.