Top Senior C# Jobs in Houston, TX

Develop and deploy customer-focused web, mobile, and backend applications across the full software stack. Design major features, contribute to architecture decisions, conduct code reviews, and ensure secure, high-quality implementations. Collaborate with stakeholders and cross-functional teams using Agile and SDLC practices. Manage version control, CI/CD, environments, and releases; maintain automated test coverage and perform root-cause analysis. Build and optimize relational data solutions using SQL Server, including complex queries, stored procedures, and performance tuning.

Design, develop, test, deploy, and maintain scalable enterprise applications using .NET, C#, Angular, Blazor, SQL Server, REST APIs, and messaging technologies. Lead technical initiatives, participate in architecture and Agile processes, mentor developers, collaborate with business users, troubleshoot production issues, and deliver secure, maintainable software solutions.

Designs, develops, and maintains enterprise integrations for an Energy Trading and Risk Management platform. Builds REST and SOAP APIs, integration services, batch processes, messaging workflows, and event-driven interfaces using C# and .NET. Implements data transformations, validation, error handling, monitoring, reconciliation, and logging. Supports testing, troubleshooting, root-cause analysis, performance optimization, and deployment while collaborating with architects, ETRM teams, infrastructure groups, business analysts, and vendors.

Develop and support enterprise business applications across SharePoint, Microsoft 365, Power Platform, Azure, SQL Server, and integrations. Responsibilities include building applications, workflows, reports, APIs, databases, and cloud solutions; troubleshooting business-critical systems; supporting governance, security, ALM, testing, documentation, and deployments; and collaborating with stakeholders, architects, vendors, and technical teams.

Leads the design, development, testing, integration, and support of enterprise software using Microsoft Power Platform and Azure. Builds Power Apps, workflows, Dataverse solutions, REST integrations, custom APIs, and secure cloud applications. Drives software engineering standards, ALM, CI/CD, DevSecOps, architecture, troubleshooting, and continuous improvement. Partners with business and technical stakeholders, mentors engineers, conducts research and demos, and delivers scalable solutions for enterprise maintenance modernization.

Leads architecture and hands-on development of scalable backend systems and APIs supporting real-time applications. Owns the engineering lifecycle, writes high-performance code, establishes testing and reliability practices, resolves production issues, guides technical roadmaps, collaborates cross-functionally, and mentors engineers. The role requires expertise in object-oriented backend development, distributed cloud systems, automated testing, system monitoring, and technical leadership.

Lead design and implementation of modernized insurance underwriting and policy administration solutions. Drive cloud transformation, data-driven and secure architectures, improve risk selection and claims resolution, enhance customer experience through automation, mentor technical teams, manage client relationships, and oversee project lifecycle, budgets, and delivery quality.

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.

Provides technical leadership for complex industrial automation and SCADA customer projects from initiation through closeout. Leads requirements confirmation, software and hardware specification alignment, project planning, system design, execution monitoring, risk management, issue resolution, customer communication, installation, commissioning, training, and financial reconciliation. Guides technical teams and supports customer-site deployments, including high-pressure problem solving and interactions with government and private-sector customers. Requires 20–50% domestic and international travel.

Designs, develops, deploys, and supports scalable enterprise applications, cloud platforms, APIs, and AI-powered solutions. Responsibilities include software architecture, system integrations, data pipelines, generative AI implementation, performance and security optimization, technical documentation, and collaboration with distributed teams. The role also mentors engineers and contributes to Agile delivery. Candidates must have extensive software engineering experience, strong architecture skills, and be available onsite in Houston five days per week.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

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.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Design, develop, customize and maintain enterprise Sitecore solutions (versions 9/10, SXA, JSS, XM Cloud). Produce technical specs, implement components, test and debug in test and production, support teammates, perform demos to customers, and escalate/resolve issues.

Designs and directs development of scalable software systems using AI-assisted engineering practices. Owns architecture, APIs, data models, testing strategy, security, reliability, observability, deployment, and production operations. Decomposes work for AI agents, validates generated code and tests, leads incident response, and coaches engineers on effective AI-enabled development. Requires full-stack experience, modern server-side development, event-driven systems, cloud infrastructure, regulated-data security, and production use of agentic AI.

Leads enterprise software development, platform integrations, custom scripts, and cloud architecture. Manages the software development lifecycle from requirements through deployment, collaborates with stakeholders, mentors engineers, and directly contributes to frontend, backend, and cloud solutions. Oversees third-party enterprise tools, databases, APIs, serverless systems, QA coordination, technical processes, and cross-departmental engineering initiatives.

Drive technical direction and architecture across teams for enterprise retail software. Improve platform reliability and performance, scope customer-facing features, mentor engineers, de-risk large work, and embed AI-native practices (LLMs/agents) into engineering workflows.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Designs and maintains enterprise software, APIs, microservices, databases, ETL pipelines, CI/CD workflows, RPA solutions, and AI/LLM applications. Leads architecture and engineering reviews while implementing secure integrations, data governance, HIPAA/PII compliance, vector search, RAG, agentic workflows, and responsible AI practices. Collaborates with technical, compliance, data, and business stakeholders to move automation and AI solutions from prototypes into production.

Develop and deliver high-volume enterprise applications across the full software development lifecycle. Design, code, test, debug, optimize SQL solutions, troubleshoot complex issues, contribute to scalable architecture, collaborate with technical and business stakeholders, and mentor other developers. Work independently while participating in Agile development and production implementation.

Develop and support high-volume, mission-critical web applications across the full software development lifecycle. Build with TypeScript, JavaScript, Next.js, and SQL; deploy and operate applications in Microsoft Azure; use AI-assisted development tools; troubleshoot complex technical issues; make architectural decisions; and mentor other engineers. The role requires multi-tier system development, database optimization, Agile collaboration, and proactive delivery of reliable, high-quality software.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Lead full-stack .NET development, legacy application modernization, accessibility auditing, and code remediation. Develop accessible web interfaces and PDF reports compliant with WCAG 2.1/2.2 AA, WAI-ARIA, and Section 508. Use C#, ASP.NET Core, JavaScript, Telerik, CSS, Crystal Reports, screen readers, automated scanning tools, and AI-assisted engineering tools. Configure CI/CD pipelines, manage Git workflows, and support testing and release engineering.

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.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.