Top Remote C# Jobs in Houston, TX

Develop, test, and ship features for patient-facing applications, booking systems, clinical operations tools, and internal platforms. Collaborate with senior engineers on implementation, code reviews, debugging, troubleshooting, and automation for scheduling and patient engagement workflows. Build foundational experience with mobile applications, healthcare data systems, APIs, databases, version control, and production software while contributing to a collaborative engineering team.

Design, build, and maintain scalable applications, APIs, mobile platforms, booking systems, clinical integrations, and healthcare data systems. Own features end to end, make architectural decisions, improve security and reliability, and contribute to cloud deployment, CI/CD, monitoring, and DevOps. Collaborate with clinical, operations, and patient experience teams to deliver secure digital tools that improve patient care and clinic efficiency.

Build full-stack software, backend services, APIs, frontend experiences, and shared integration capabilities supporting AI initiatives across Keeper’s products. Integrate LLMs, agents, and tool-calling workflows into secure production environments while maintaining zero-knowledge principles. Troubleshoot cross-product systems, improve reliability and observability, contribute to architecture and code reviews, automate testing and CI/CD, and collaborate with AI, product, and engineering teams.

Lead design, development, and operation of highly available AKS Resource Provider and control-plane services. Drive cluster lifecycle, upgrades, networking, security, scalability, observability, resiliency, and incident prevention for large-scale distributed cloud systems. Collaborate across Azure engineering teams, lead architectural decisions, improve tooling and automation, troubleshoot production issues, and mentor engineers while supporting reliable Kubernetes workloads across cloud and edge environments.

Build and maintain secure, scalable backend systems for Mindbody products. Design microservices, write tested and maintainable code, monitor applications, participate in reviews, and collaborate with Product, Design, QA, and Engineering teams. The description also includes leadership responsibilities such as managing backend development teams, coaching managers and engineers, establishing delivery processes, and driving technical and organizational improvement.

Develop and maintain mission-critical full-stack web and database applications, ETL pipelines, reporting solutions, and system integrations. Responsibilities include writing and testing code, creating advanced T-SQL and SSRS solutions, improving existing programs, documenting data lineage, troubleshooting applications and databases, and collaborating with business and technical teams in an Agile environment.

Designs and evolves DraftKings’ regulated prediction-markets exchange, including market data, order entry, matching, clearing, and settlement. Owns the technical roadmap, architecture, scalability, reliability, performance, and operational health of distributed systems. Leads resilience testing, incident improvements, design reviews, mentoring, and cross-functional technical alignment. The role also requires building practical AI tooling and guardrails, integrating with external partners, and balancing compliance, cost, and platform strategy.

The Lead Technology Engineer will lead IT systems implementation, ensure network security, manage integrations, and enhance operational efficiency through automation.

Supports configuration and development of the FASTDS-VS COTS application, including requirements analysis, reference table and user access configuration, scripting, debugging, source control, testing, implementation specifications, and production support. The role requires familiarity with software development methodologies, SQL databases, object-oriented development, coding standards, and Agile practices. Preferred experience includes web services, APIs, AWS, and SQL stored procedures.

Leads architecture, technical strategy, and implementation of scalable cloud-native enterprise applications on Microsoft Azure. Defines engineering standards, microservices and API architectures, reviews designs and code, guides development teams, supports feature development, and drives modernization, performance, security, and operational excellence. Collaborates with stakeholders and product teams to translate business requirements into secure, reliable, maintainable distributed solutions while mentoring engineers and influencing long-term technology direction.

Full Stack Engineer responsible for building responsive frontends (JS/TS, React preferred) and backend services (Python, Go, or Node.js/TypeScript), designing RESTful APIs, managing databases (Postgres/MongoDB), and deploying on cloud (AWS). Collaborate with teams, optimize performance, and apply DevOps practices (Docker, Kubernetes, CI/CD). Requires strong problem-solving, communication, and 3+ years of experience.

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.

Build and maintain scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.

Develop cross-platform C++ and Qt software for network device discovery, monitoring, and data collection across Windows and Linux. Build high-performance, concurrent, asynchronous systems that communicate with thousands of devices using SNMP, SSH, ICMP, WMI, and related protocols. Own testing, troubleshoot issues across application, operating-system, and network layers, optimize reliability and performance, and collaborate with backend, UI, QA, and product teams.

Provides technical leadership for Azure SQL databases supporting a highly available Azure service. Responsibilities include database performance tuning, reliability and capacity planning, schema changes, data migrations, observability, incident response, root cause analysis, operational automation, and technical strategy. The role partners with software engineers, SREs, and architects to improve scalability, durability, cost efficiency, and long-term service reliability across teams.

Designs and develops FPGA SmartNIC networking acceleration for Microsoft Azure. Responsibilities include hardware architecture evaluation, RTL coding in Verilog/SystemVerilog, simulation, hardware testing, debugging, verification, scripting, software development, Agile collaboration, and production DevOps support. The role partners across hardware and software teams to deliver cloud networking infrastructure, including SDN capabilities, packet manipulation, and performance improvements.

Design and implement PostgreSQL internals and indexing/query features for large-scale document workloads, extend query engine with BSON-aware operators and custom scan nodes, tune index pruning and storage, profile distributed systems for performance, collaborate with open-source DocumentDB/PostgreSQL communities, and participate in design/code reviews.

Interns gain hands-on experience with Azure cloud engineering, Terraform infrastructure as code, CI/CD, SQL and data engineering, C#/.NET API development, enterprise IT operations, troubleshooting, security, and technical documentation. The role includes completing a defined modernization or technical project from requirements through deployment and presentation while learning enterprise architecture, monitoring, identity, secrets management, and production-support practices.

Own operations and reliability for hyperscale Azure GPU clusters and interconnect fabrics. Lead production incident triage, mitigation, recovery, root-cause analysis, and cross-stack debugging across hardware, PCIe, GPUs, firmware, drivers, and software. Develop automation, telemetry, diagnostic tools, operational playbooks, and escalation procedures to improve observability and reduce mitigation time. Partner with engineering teams and manufacturers to resolve systemic issues affecting AI training stability, GPU availability, and customer SLAs.

Design, develop, test, and deliver enterprise applications, APIs, services, integrations, and web applications. Own projects from architecture and technical design through production release and handoff. Troubleshoot complex issues across applications, databases, integrations, and cloud environments; contribute to architecture, code reviews, testing, CI/CD, documentation, and production support. Partner with Product, QA, Architecture, and engineering teams to deliver scalable, secure, maintainable solutions.

Leads photonic integrated circuit test software architecture, infrastructure improvements, test-station automation, and hardware-control software development. Oversees software migration across LabVIEW, Python, MATLAB, C#, and C++, while leading a small software team and mentoring engineers. The role supports electrical and optical testing of InP-based transceiver PICs at wafer, die, and subassembly levels, including vision systems, probe positioning, calibration, and test software revision control.

Leads AI-enabled quality engineering and test automation across the SDLC. Builds automated UI, API, database, and batch testing frameworks; integrates intelligent testing into CI/CD pipelines; applies AI for test generation, defect prediction, root-cause analysis, regression optimization, anomaly detection, and quality monitoring. Partners with cross-functional teams, develops quality gates and dashboards, evaluates emerging AI tools, and mentors QA staff. Requires 5+ years of QA or test automation experience, programming proficiency, and hands-on AI/ML implementation.

Design, develop, secure, and maintain mission-critical Microsoft-platform software for DoD programs. Build C# and .NET applications, responsive JavaScript and EXT JS interfaces, REST APIs, and optimized SQL Server databases. Apply secure coding, STIG, RMF, threat modeling, vulnerability remediation, documentation, and compliance practices. Integrate Kiro AI capabilities, collaborate with cybersecurity and engineering teams, and support deployment and sustainment in classified or controlled environments.

Develop and maintain internal security web applications using ASP.NET MVC, C#, JavaScript, HTML/CSS, and SQL Server. Responsibilities include database design and optimization, application troubleshooting, compliance process automation, stakeholder collaboration, code reviews, testing, deployments, documentation, and full-stack production support within an Agile DevOps environment.

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.