Top Software Engineer Jobs in Houston, TX

Develop and maintain Tailscale's Windows client and contribute to cross-platform client and backend code. Build UI and platform integrations using WinUI/Windows native frameworks, write unit and integration tests, implement Windows platform features while preserving compatibility, and collaborate asynchronously across a distributed engineering team.

Support project delivery through Revit modeling, drawing updates, coordination, documentation, and early QA. Grow BIM capability, perform clash detection in Navisworks/ACC, maintain model health, and assist engineers across technology disciplines with increasing independence.

Design, develop, test, document, and support secure external data integrations (APIs, file-based interfaces, ETL) using .NET, Azure, Informatica, and Snowflake. Lead technical delivery, perform impact analysis, provide production support, mentor engineers, and ensure solutions meet security, performance, and governance requirements.

The Machine Learning Engineer will build data-intensive products, deploy ML models, analyze datasets, and collaborate with product teams to enhance Nextdoor's platform.

Design, develop, and maintain Salesforce solutions using Apex, Visualforce, and integrations. Build custom objects, UIs, batch/scheduled jobs, data migrations, and ensure code quality and releases in sandbox and production environments while mentoring peers.

Design, build, and maintain applications, APIs, and services for Magna's Jury Consulting business; partner with stakeholders to translate requirements; contribute to architecture, CI/CD, testing, DevOps, production reliability, and AI-assisted development; mentor engineers and evaluate emerging technologies.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Customer-facing principal-level engineer who architects and implements real-time, production-grade data pipelines and integrations (Java/Python) across multi-cloud environments. Duties include building connectors, optimizing Kubernetes deployments, debugging distributed systems, driving solution architecture from pre-sales through post-sales success, and influencing product roadmap while traveling up to 50%.

Lead multiple Agile teams to design, build, and deliver large-scale Java/Linux applications and big-data solutions. Drive engineering excellence via automated testing, DevOps/CI, mentorship, backlog grooming, and cross-organizational influence to advance CAS products.

Lead end-to-end product engineering for data platform experiences, owning design and delivery of frontend and backend services. Build performant, secure UIs across desktop and web, integrate identity and access workflows, collaborate with cross-functional teams, and ship reliable, accessible, well-tested features.