Top Software Engineer Jobs in Houston, TX

Develops workflow applications, automation, scripts, services, integrations, and testing solutions that replace manual processes with traceable enterprise workflows. Responsibilities include process analysis, evidence collection automation, task routing, approvals, policy enforcement, API and data integrations, documentation, code reviews, demonstrations, defect correction, and continuous improvement. The role is remote, contingent on contract award, and supports a federal customer.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

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.

Lead frontend-focused full-stack development for a neurotechnology platform controlling brain stimulators, managing patient data, visualizing real-time 3D data, integrating APIs, syncing cloud systems, and improving user experience. The role involves React and React Native frontend work, Python or Node.js backend development, team growth and mentorship, and collaboration on secure, scalable healthcare applications.

Designs, develops, tests, debugs, maintains, and integrates internal applications supporting business workflows, reporting, data accuracy, APIs, and compliance. The role gathers requirements, proposes process and technology improvements, estimates costs and savings, collaborates with IT teams, and supports enterprise-wide deployments. Development work includes Python backend services, JavaScript or TypeScript front ends, SQL databases, third-party API integrations, and unit, functional, and manual testing.

Lead design, development, testing, and architecture for Endur-based enterprise solutions. Provide technical direction, mentor developers, ensure quality/security/operational standards, and collaborate with leadership on technology strategy.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Owns company-critical, long-term technical problems across multiple teams and organizations. Defines technical strategy, architectures, roadmaps, and engineering standards for large-scale customer-facing systems. Remains hands-on in software development while driving AI adoption in products and engineering workflows. Partners with senior product, engineering, and executive leaders to resolve complex problems, improve reliability and performance, and shape Dropbox’s technical direction.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Design and maintain automated testing frameworks for cloud-scale distributed systems. Build performance, load, stress, integration, API, end-to-end, chaos, security, and infrastructure tests. Integrate continuous testing into CI/CD pipelines, analyze observability data, validate Kubernetes and microservices environments, and collaborate with Engineering and SRE teams to improve reliability. The role also participates in on-call rotations and helps establish QA strategy and standards across GPU infrastructure, serverless endpoints, storage, billing, and event-driven systems.

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Build and operate production backend services supporting Supabase AI products, including the MCP server. Responsibilities include service architecture, deployments, scaling, authentication and authorization, observability, reliability targets, on-call incident response, rate limiting, capacity management, and API evolution. The role requires strong TypeScript or Go skills, production backend experience, distributed-systems debugging, and collaboration with Platform and SRE teams in a fully remote environment.

Develop, test, deploy, and maintain full-stack applications across Salesforce, Django, Next.js, and FastAPI. Design APIs, contribute to system architecture, resolve technical issues, participate in code reviews, and maintain cloud infrastructure and deployment pipelines. Collaborate with stakeholders and teammates to deliver scalable features, leverage AI tools, and support reliable internal and external systems.

Develop and lead production software-defined networking for NVIDIA’s global GPU cloud infrastructure. Design multi-tenant control and data planes using Open vSwitch, OVN, OpenFlow, Kubernetes, C, and Go. Build networking services, plugins, automation, testing, observability, and reliability improvements. Lead architecture and code reviews, mentor engineers, support on-call operations, and resolve complex production incidents through diagnostics and source-level debugging.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware upgrades, repair workflows, cluster lifecycle management, BMC and Redfish tooling, and NVIDIA NVL72 and BlueField DPU operations. Diagnose failures across hardware, Linux, networking, and Kubernetes; support incident response, on-call operations, observability, root-cause analysis, and permanent remediation across cloud and on-premises environments.

Design and implement GPU performance profiling tools focused on AI applications. Build features used by CUDA developers, collaborate with NVIDIA compiler and CUDA driver teams, and influence tool design. The role requires strong C++ software engineering experience, GPU hardware knowledge, and familiarity with performance tools, with preferred expertise in CUDA kernel programming, profiling, and DWARF parsing.

Lead performance practices for large-scale AI systems, enhance datacenter products, and resolve complex performance issues through collaboration and technical expertise.

Design and implement high-performance, scalable storage systems and client libraries for AI workloads. Build data loading, checkpointing, caching, POSIX-style and object-store integrations, observability and telemetry, and validate performance with platform, SRE, and AI teams using modern engineering practices.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Develops, tests, deploys, and maintains data-driven applications, databases, automated workflows, AI-enabled capabilities, and decision-support tools. Builds data pipelines, integrates enterprise systems and APIs, performs data validation, troubleshoots defects, supports prototyping and user acceptance testing, and contributes to code reviews, Agile ceremonies, documentation, deployments, and customer support. Collaborates with technical teams, project managers, customers, and stakeholders to deliver software solutions.

Build and maintain scalable full-stack applications, backend services, APIs, cloud-native systems, and responsive front-end interfaces. The engineer will contribute to architecture, testing, CI/CD, deployment, and production support while integrating hardware, IoT, firmware, data, and AI capabilities. The role requires ownership of complex features, collaboration with Product and Design, and delivery of reliable customer-facing and internal systems using TypeScript, modern front-end frameworks, Node.js, and AWS.

Design and build reusable backend platform services, libraries, frameworks, integrations, and AWS infrastructure abstractions. Establish reliability, security, observability, testing, compatibility, and deployment standards for consuming teams. Direct AI-agent implementation through specifications and contracts, review generated and human code, manage incidents, and drive production adoption of shared platform capabilities.

Build internal web applications, APIs, integrations, AI-assisted workflows, knowledge repositories, dashboards, Slack bots, and PDLC automations. Connect tools such as Jira, GitHub, Notion, and data platforms with go-to-market systems. Prototype rapidly, collaborate across Product, Engineering, Program Management, Analytics, and commercial teams, and ensure secure, documented, auditable solutions.

Provides organization-wide technical leadership for enterprise software, BI/data, and ML/AI solutions. Leads architecture, design, modernization, technical strategy, code quality, DevOps, CI/CD, and complex problem-solving. Mentors engineering teams, establishes development standards, evaluates emerging technologies, reviews critical designs, supports platform roadmaps, and collaborates with product and cross-functional stakeholders.

Develop and configure IBM TRIRIGA solutions for facilities and real property management. Translate stakeholder requirements into functional designs, workflows, test cases, and implementation plans. Collaborate with business sponsors, end users, maintenance technicians, and technical teams on solution design, troubleshooting, effort estimation, testing, documentation, and delivery. Work independently in cloud environments while supporting federal and commercial clients remotely.