Top Remote Python Jobs in Houston, TX

Own the reliability, performance, availability, scalability, and cost efficiency of production Aurora MySQL databases on AWS. Responsibilities include observability, alerting, query optimization, replication, backups, disaster recovery, schema migrations, reader topology, cost optimization, runbooks, incident response, and database performance reviews. The role partners with engineering teams, supports HIPAA-compliant handling of PHI, and establishes reliable database operating practices.

Develop and implement embedded device and system software, analyze system efficiency and stability, optimize I/O performance, support software quality assurance, and code, test, and troubleshoot low-level software. The internship provides hands-on engineering experience, mentorship, and professional development. Candidates must be pursuing a relevant engineering or computer science degree and remain enrolled after the internship.

Leads the design, automation, deployment, and optimization of secure hybrid and multi-cloud infrastructure across AWS, Azure, and GCP. Develops Terraform modules and CI/CD pipelines, executes cloud migrations, implements networking and security controls, troubleshoots infrastructure, and optimizes performance and cost. Conducts infrastructure assessments, creates technical documentation, collaborates with architects and project managers, mentors engineers, and supports enterprise modernization initiatives.

Develop and maintain automated test frameworks and scripts, execute manual and automated test cases, identify and track defects, perform regression testing, collaborate with developers and cross-functional teams, and support CI/CD and testing processes across platforms (including mobile, API, and database).

Own the architecture, development, and maintenance of Nebulock’s customer-facing security platform across the full stack. Build product experiences including threat intelligence and detection query tools, improve scalability and maintainability, establish engineering standards, shape the technical roadmap, collaborate across product and security teams, and mentor engineers.

Develop and implement embedded software and systems, analyze system efficiency and stability, optimize I/O performance, and support software quality assurance. Responsibilities include coding, testing, troubleshooting, monitoring, and working closely with hardware. The internship offers hands-on experience, mentorship, professional development, relocation benefits, and short-term housing for eligible interns.

Leads quality engineering architecture for Yahoo Sports web, mobile, API, and cloud platforms. Builds scalable test automation frameworks, AI-driven test generation and diagnostics, CI/CD quality gates, performance and security testing, observability automation, defect triage, and release assurance. Partners with engineering and product teams to improve testability and risk mitigation, establishes quality standards, and mentors quality engineers.

The Principal Engineer will shape the technical strategy for messaging infrastructure, influence architectural decisions across teams, and solve complex technical problems. Responsibilities include mentoring engineers, driving coherence across teams, and leading initiatives to ensure Weave's competitiveness in messaging solutions.

The Principal Software Engineer will embed with product teams to solve complex technical problems, deliver production code, and make application and service-level architectural decisions. The role owns shared services, reliability, performance, incident response, and cross-system issue diagnosis. It also leads solution design, mentors engineers through influence, supports multiple products and domains, and establishes effective standards for AI-assisted software development.

Manage and optimize high-bandwidth, low-latency VFX network infrastructure supporting render farms, storage, cloud rendering, artist collaboration, and remote workstations. Configure AWS Deadline Cloud, troubleshoot Maya and Arnold rendering, build asset-transfer and per-show environment systems, optimize Linux and Windows pipelines, and document architecture and procedures. The role requires strong Python and Bash scripting, networking, storage, systems administration, render-farm, and VFX pipeline expertise.

Analyze emerging AI workloads and build analytical performance models and architecture simulators for current and future AI inference accelerator hardware. Collaborate with hardware, compiler, inference server, kernel, and product teams to validate assumptions, identify HW/SW optimization opportunities, incorporate architecture research, and document methodologies. The role is a hands-on technical contributor focused on performance analysis across the hardware/software boundary.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.

Lead architecture and hands-on implementation of a full-stack platform and production AI systems (LLM integration, RAG, agentic workflows). Ship user-facing features across frontend, backend, data pipelines, infrastructure, testing, and monitoring. Set technical direction, tooling, and engineering practices while partnering with product and program teams.

Build and scale backend APIs, services, event-driven workflows, queues, data models, caching, and integrations serving millions of users. Lead complex technical initiatives from discovery through production, improve reliability and performance, debug cross-system issues, and optimize databases and infrastructure interactions. Partner across Product, Design, Infrastructure, Platform, Data, and Support while mentoring engineers, influencing technical decisions, and raising engineering quality standards.

Own and scale Adobe Experience Platform and Real-Time CDP implementations. Design data collection architecture using Web SDK, Edge Network, and datastreams; govern XDM schemas, identity, datasets, and data quality. Develop tagging, CJA connections and views, audience activation, privacy frameworks, and event-driven data layers. Troubleshoot ingestion and identity issues, integrate Adobe ecosystem tools and downstream systems, and collaborate with stakeholders on scalable technical solutions, governance, documentation, and enablement.

Manage and grow a product engineering team at a remote cloud cost-management software company. Lead prioritization, delivery, quality standards, recruiting, and cross-functional collaboration with product, design, and leadership. Help engineers ship customer-focused features spanning spend management, interfaces, data pipelines, visualizations, and application performance. Coach engineers, remove blockers, promote ownership, and guide tradeoffs between velocity and quality.

Design and build cloud cost-management capabilities, including forecasting, anomaly alerts, cost allocation, data pipelines, transformation models, visualizations, and reusable UI components. Own features end to end from planning through release while improving application reliability and performance. Collaborate closely with engineers and founding team members, contribute to technical design and roadmap decisions, and work pragmatically in a fast-moving distributed startup environment.

Configure, develop, maintain, and troubleshoot NICE CXone contact center environments, including IVR, call routing, omnichannel services, workforce management, and integrations. Support multiple business units, optimize configurations, resolve technical issues, monitor performance, and ensure reliable telephony operations. Collaborate with contact center, technical, and cross-functional teams to implement new features and provide customer and management updates.

Develops and maintains GIS solutions supporting the U.S. Coast Guard, integrating geospatial data, ArcGIS systems, web services, and enterprise platforms. Translates operational needs into technical requirements, designs and implements software, troubleshoots production issues, performs system integration, evaluates tools, and supports documentation. The role collaborates with project teams, government stakeholders, end users, developers, and geospatial professionals, while occasionally leading development projects and directing team members.

Develop open source SDKs, enterprise APIs, UIs, and backend systems supporting large-scale computer vision datasets. Build scalable, maintainable, performant, and well-tested software for unstructured data and AI workflows. Contribute to enterprise deployments across customer clouds and on-premises environments, while improving tooling, automation, engineering practices, and open source community initiatives in a remote-first team.

Provides mainframe patch-management expertise using SMP/E and z/OSMF. Responsibilities include CVE reporting, patch automation, response modeling, validation cadence, package stability reviews, dashboard improvements, baseline dataset development, vulnerability-tool integration, and secure patch deployment. The role also develops AI-driven prompts and automation for testing, RFB validation, and impact analysis while supporting z/OS and ISV software installation, maintenance, customization, and testing.

Validate and implement AI fencing controls across z/OS environments through adversarial testing, monitoring, alerting, forensic analysis, and sanitized validation. Design disruptive AI testing labs, test non-privileged user operations, support secure AI adoption, and assess GenieZ production readiness. Requires deep z/OS internals expertise, catalog management, USS security, software installation, complex troubleshooting, advanced testing, REXX, Python, and 10+ years of experience.

Technical lead for public-facing gRPC APIs and SDKs powering provider search, ranking, and dynamic copay lookups. Own API design, versioning, ranking/steerage logic, and reliability at scale. Write and review code and designs, mentor engineers, drive technical direction, partner with product and partner engineering, and support production operations and scaling decisions.

Leads the design, development, testing, deployment, and maintenance of scalable full-stack web applications. Coordinates frontend and backend developers, translates requirements into technical plans, reviews code, mentors engineers, assigns tasks, monitors delivery, troubleshoots technical issues, and contributes to architecture decisions. Oversees APIs, databases, integrations, deployments, releases, security, performance, documentation, and application improvements while collaborating with product, design, and business teams.

The Staff Engineer will lead cross-functional teams, focus on AI development practices, ensure scalable engineering, and evolve system architecture at ParentSquare.