Top Remote Python Jobs in Houston, TX

Optimize end-to-end GPU performance for real-time autonomous driving workloads: develop and optimize parallel GPU algorithms and inference pipelines, profile and eliminate bottlenecks across computation and memory, debug GPU software for latency/throughput improvements, and collaborate on onboard GPU software architectures for embedded platforms.

Own and set technical direction for the Everand backend, building scalable, reliable systems for discoverability, personalization, and core consumption journeys. Drive architecture, platform health (CI/CD, staging, DBs, queues, cost, observability), mentor engineers, lead cross-team planning, modernize legacy systems, and partner with product, design, analytics, web/mobile, and ML to support experimentation and telemetry-driven decisions.

Design, configure, and optimize Azure DevOps organizations and CI/CD pipelines. Implement process templates, Portfolio++ for portfolio visibility, integrate with third-party tools, support sprint and capacity planning, troubleshoot pipelines, and create runbooks and adoption guidance for client teams.

Lead and grow the Product Engineering team to deliver customer-facing web dashboards, APIs, integrations, and AI workflows. Own roadmap execution, collaborate with Product and Design, drive engineering best practices (testing, deployment, observability), provide technical mentorship, and remain hands-on in architecture and code reviews to ensure high-quality, scalable SaaS product delivery.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Build and maintain GTM infrastructure and integrations to support Sales, Marketing, and Customer Success. Automate workflows, ensure data hygiene, create reporting pipelines/dashboards, and partner with RevOps and GTM leaders to translate business needs into scalable technical solutions.

Internship SRE role responsible for availability, performance, and scalability of an e-commerce supply-chain platform. Tasks include SLO/SLA definition, observability (Prometheus/Grafana/Loki/Tempo/OpenTelemetry), incident response, capacity planning, disaster recovery for PostgreSQL, infrastructure-as-code (Terraform), CI/CD automation, and operational reliability for AI agent services. Mentored by Head of Technology/CTO with potential conversion to full-time based on performance.

Perform load, stress, and endurance testing across e-commerce storefronts, internal SaaS tools, and AI agent services. Design test strategies, execute tests with tools like JMeter/Gatling, analyze observability metrics, identify bottlenecks in Node.js/NestJS, PostgreSQL, and Redis, and integrate performance tests into CI/CD while collaborating with SRE and backend teams.

Build and scale a fintech platform across accounting, tax, and banking. Own feature lifecycle from design to deployment, write backend and frontend code, improve infrastructure and reliability, and collaborate with product and design to deliver customer-focused features.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Design, build, and maintain cross-platform mobile applications and end-to-end web features. Implement front-end interfaces, back-end services and RESTful APIs, optimize databases, write tests and documentation, perform code reviews, and collaborate with UX, QA, and DevOps to deliver high-quality, secure, and performant solutions.

Provision, configure, operate, and maintain systems hardware, software, and infrastructure to support R&D. Troubleshoot networks, manage core services (DNS, DHCP, AD), automate tasks, document processes, follow change management, and collaborate with DevOps and Engineering teams. Occasional short-notice travel for network troubleshooting.

Lead quality for the FinData portfolio by defining AI-first quality standards, test strategy, metrics, and automation. Architect testing across data pipelines, AI model validation, APIs, and UI; coach teams on shift-left practices; create scalable test suites, datasets, and release gates; drive observability and performance-informed quality decisions.

Lead quality strategy for an AI-first platform: define testing standards, metrics, and automation; validate AI models and data pipelines; design API and UI tests; coach teams on shift-left quality and release gates; improve observability and performance practices to ensure scalable, data-driven quality outcomes.

Join Azure PostgreSQL to design, implement, and test relational database engine features (query processing, logging, recovery, IO, scale-out). Contribute to code, review, testing, and compliance activities while learning AI-enabled SDLC practices, monitoring systems as a designated owner, and collaborating within an inclusive engineering team.

Lead design, scaling, performance tuning, and reliability of PostgreSQL databases for a high-availability SaaS platform. Troubleshoot production incidents, automate administration, maintain security and observability, and mentor engineering teams on query and schema optimization.

Build and maintain backend services and infrastructure to support core ML/AI product features. Design scalable, resilient, high-performance systems, implement production REST APIs, deploy and manage applications (Docker/Kubernetes), and collaborate cross-functionally while coding daily.

Own and modernize end-to-end Workday-to-Talent integrations: design, build, deploy, and operate integrations; define standards; implement transformation logic; ensure observability, reliability, and vendor delivery; document and coach partners.

Design and implement scalable backend and distributed systems for a marketing intelligence platform. Build near-real-time ingestion and processing, scale an incrementality/experimentation product, integrate AI-powered workflows, improve data ingestion/exports and connection-state systems, and contribute frontend components to deliver end-to-end product experiences.

Contract GPU kernel optimization role: analyze profiler metrics, identify bottlenecks, and improve kernel performance across modern GPU hardware. Implement and modify C++17, Python, and GPU code using CUDA/HIP/shaders, document optimization decisions, and collaborate as a freelance specialist (20+ hrs/week preferred).

The Senior C# Developer will lead AI enablement by transforming APIs into an Agent Mesh using C# and the MCP, ensuring secure AI interactions through Gravitee management.

Participate in full SDLC building and integrating software for DoD customers. Develop C++/Python systems, curate synthetic geospatial raster data, apply TDD, operate in DevSecOps pipelines, and use containerization and CI/CD for deployment and testing.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Lead and grow a ~10-person global SRE team, drive reliability and cost-efficiency of multi-tenant cloud infrastructure, build self-service platform capabilities, establish SLOs/SLIs, improve alerting, own FinOps practices, and embed AI tooling into SRE workflows.

Design, build, and operate central observability platforms. Develop telemetry pipelines for logs, metrics, traces, and events; enforce instrumentation standards; build scalable cloud-native ingestion and storage; optimize cost, performance, retention, and reliability; investigate incidents and drive root-cause analysis; and create dashboards, reports, and service-level monitoring frameworks.