Top Senior Software Engineer Jobs in Houston, TX

Lead architecture and engineering for a new Provider Onboarding team. Build scalable, database-backed systems and custom tools supporting pricing, payments, client panels, and forms. Establish engineering practices, mentor senior engineers, guide cross-functional delivery, and oversee the full software development lifecycle from planning through post-launch maintenance. The role requires healthcare systems experience and ownership of complex, reliable products.

Lead architecture and development for a new Provider Onboarding engineering domain. Build scalable full-stack, database-backed applications and microservices supporting pricing, payments, client panels, forms, and provider workflows. Mentor engineers, establish design patterns, drive cross-functional delivery across the full software lifecycle, and improve operational reliability for a healthcare platform.

Build and own customer-facing backend product features from design through delivery. Scale systems processing high-value transactions, architect reliable infrastructure for complex business logic, and work autonomously in a fast-moving startup. Use code-generation assistants daily with reviewer oversight, applying strong algorithms, data structures, and software architecture skills. The role is remote and full-time in the United States.

Lead the technical direction of Samsara’s shared geospatial platform. Build scalable data ingestion and processing pipelines, map data models, spatial APIs, map-matching and routing foundations, and reusable platform capabilities. Scale storage, querying, and computation for real-time features, consolidate team-specific solutions, mentor engineers, lead cross-team technical projects, and represent the company in the geospatial community.

Develop and improve Azure Kubernetes Service capabilities across Linux and Windows, building reliable container orchestration and cloud infrastructure at global scale. Responsibilities include advancing Kubernetes components, improving service quality, accelerating engineering velocity, automating incident prevention and remediation, and integrating AI tools into development workflows. The role focuses on distributed systems, containers, Kubernetes, DevOps tooling, and AI/ML workload infrastructure.

Lead technical strategy and architecture for Azure Storage geo-replication, data protection, failover orchestration, and business continuity. Drive cross-team delivery, operational excellence, telemetry, automation, AI-assisted operations, and represent the team in executive and customer engagements.

Build and maintain Airbnb’s cloud infrastructure platform, including developer APIs, CLIs, Kubernetes automation, service provisioning, autoscaling, multi-region capabilities, and AI-native agent workflows. Improve platform reliability, security, scalability, and developer experience; contribute to open-source infrastructure projects; debug production issues; and collaborate with engineering teams across Airbnb.

Build and operate custom data applications and AI agents for mid-market clients. Own engagements end to end, including discovery, system design, coding, deployment, production iteration, and client demos. Develop LLM features, establish AI-native engineering practices, deploy reliable applications across cloud platforms, create reusable components, and help shape the technical stack, processes, and growing engineering team.

Design and maintain AI agents, automated workflows, connectors, and middleware for software integration, release readiness, testing, and deployment. Build a structured software knowledge base and integrate systems including Jira, Confluence, GitHub, Microsoft 365, and Monday.com. The role requires automating ambiguous software management processes, ensuring observability and error handling, and collaborating across teams. This is a full-time remote position, with a preferred location in the San Francisco Bay Area.

Design and deliver production-grade backend systems powering Temporal Cloud namespaces, audit logs, export, and data products. Architect scalable data pipelines and storage systems, establish data quality and observability standards, lead technical direction, improve reliability and incident response, collaborate cross-functionally, and mentor engineers. The role emphasizes distributed systems, operational excellence, customer experience, and resilient cloud architectures.

Lead backend engineering modernization efforts by designing scalable microservices and REST APIs, migrating systems to cloud architectures, optimizing databases, maintaining CI/CD pipelines, and ensuring system security, availability, and reliability. Mentor developers, guide technical strategy, collaborate cross-functionally, and support infrastructure and domain management. The role requires strong C# and .NET expertise, cloud experience, software architecture knowledge, and backend development leadership.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Break down projects, collaborate with product, design, and analytics teams, develop scalable APIs, write well-tested code, monitor service health, participate in on-call support, review code, and contribute to engineering growth and interviewing.

Develop cloud security platform and product services using Golang and Python in a high-traffic environment. Own features from requirements through release, build modular infrastructure, integrate components, solve technical challenges, and collaborate with cloud, product, data science, and DevOps teams. The role also involves designing threat detection solutions, working with distributed systems and NoSQL databases, mentoring junior engineers, and promoting engineering best practices.

Senior full-stack engineer responsible for designing, building, testing, deploying, and supporting scalable lead capture, routing, tracking, and advisor-facing platform features. The role is approximately 70% frontend and 30% backend, using NestJS, Node.js, React, AWS, databases, event-driven architectures, CI/CD, automated testing, analytics, observability, and LLM-backed functionality. Responsibilities include architecture, production troubleshooting, performance optimization, technical planning, code reviews, documentation, and mentoring.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

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.

Leads architecture and production delivery of a near-real-time observability platform for large-scale AI supercomputers. Responsibilities include telemetry ingestion, processing, storage, querying, topology and health modeling, 1P/3P data convergence, AI-assisted anomaly detection, technician dashboards, repair validation, security, reliability, cross-team technical leadership, and mentoring.

Leads full-cycle technical implementations of a cloud-native digital banking platform, including requirements discovery, configuration, custom development, integrations, testing, data migration, environment management, deployment, and production support. Serves as the primary technical client contact, translates business needs into solutions, troubleshoots technical issues, coordinates cross-functional delivery, and improves implementation processes, documentation, tooling, and reusable components.

Develop and integrate software, algorithms, and data-processing pipelines for remote sensing, SAR, RF, radar, and geospatial systems. Responsibilities include architecture, backend and API development, workflow orchestration, sensor-data analysis, system integration, testing, optimization, deployment, and technical documentation. Collaborate across software, systems, data science, and intelligence disciplines while providing technical leadership on complex projects.

Build and maintain third-party integrations for HRIS, payroll, ATS, notification, and business intelligence platforms. Develop configuration-driven integration systems, APIs, data pipelines, AI features, developer tooling, monitoring, and alerting. Own the full development lifecycle, including research, implementation, testing, deployment, troubleshooting, and maintenance. Collaborate with product, customer success, external partners, and engineering teams to improve reliability and customer impact.

Develop AI networking communication frameworks, production tools, and large-scale benchmarking systems for data center and supercomputing environments. Build automation for parameter optimization, enable AI model benchmarking, analyze workloads across hardware and software stacks, and collaborate with networking and hardware teams on co-designed features and interfaces.

Develop and improve core software services supporting customer intake, application screening, and information dissemination. Design distributed, microservice-based systems; identify bottlenecks; improve reliability, scalability, and business logic; and contribute to modernization and architectural decisions. Work independently across the stack, communicate technical trade-offs, mentor junior developers, and use AI and automation tools to improve engineering outcomes.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Build and evolve scalable backend systems and APIs for a large SaaS platform. Partner with Product, Design, and QA from ideation through deployment, contribute to microservices architecture, improve testing and observability, identify operational risks, and mentor teammates. The role emphasizes reliable, maintainable solutions, strong collaboration, architectural decision-making, and continuous improvement.