Top Remote Python Jobs in Houston, TX

Own and evolve the backend and Go networking engine for a consumer VPN product. Responsibilities include stabilizing production systems, developing account, subscription, server-selection, and WireGuard APIs, integrating payment and analytics platforms, improving security, testing, observability, documentation, and CI/CD, and collaborating with mobile, infrastructure, product, and operations teams.

Build, operate, and scale production Kubernetes infrastructure using GitOps and declarative IaC. Design CI/CD workflows, observability, and secure-by-default systems. Troubleshoot networking/storage, participate in on-call rotations, automate operational workflows, and drive postmortems and reliability improvements.

Leads the strategic direction of backend and full-stack engineering, architects scalable distributed systems and microservices, and drives modernization, reliability, security, and performance initiatives. Designs APIs, data architectures, pipelines, infrastructure, and observability practices; delivers customer-facing service improvements; establishes engineering standards; and mentors engineers. Collaborates across product and technical teams to make architecture and business trade-offs and lead large-scale initiatives from vision through production.

Own backend performance and scalability improvements for a mature Java-based Athlete Management System. Diagnose bottlenecks across APIs, databases, calculations, and background jobs; improve data access, asynchronous processing, observability, containerization, and reliability. Develop technical plans, drive changes through production, collaborate with the Data Platform team, review architecture, mentor engineers, and participate in on-call support.

Own backend-heavy product and platform engineering from design through production. Build and scale distributed systems supporting large-scale mortgage transactions, design reliable infrastructure for regulated workflows, contribute to architecture and engineering standards, and collaborate with product, infrastructure, and platform teams. Use AI coding tools while maintaining rigorous human review and correctness.

Own the company’s AI-powered quality and release infrastructure as its first dedicated hire. Build agent-run test harnesses, LLM graders, regression coverage, release gates, fresh-install and upgrade verification, and natural-language UAT. Manage CI health, artifact publication, deployment pipelines, credentials, certificates, and staging environments. Write production Python code, convert escaped bugs into regression tests, and provide trusted release-readiness evidence through dashboards, runbooks, retrospectives, and operating policies.

Design and build backend systems for finance and accounting modules within an AI-native ERP platform. Responsibilities include modeling invoicing, payments, and financial reporting data; developing Python and FastAPI services with PostgreSQL; building integration APIs; aggregating operational and financial data; and owning greenfield features from design through deployment. The engineer will primarily own backend systems while contributing to React frontend development as needed.

Build end-to-end frontend and backend features for a voice AI trust platform while working directly with enterprise customers. Responsibilities include customer discovery, debugging, proofs of concept, product decisions, reusable platform development, and post-sales technical support. The role requires TypeScript and Python proficiency, AI coding tool fluency, strong product judgment, clear communication, and approximately 10%–20% travel.

Design, build, and maintain People systems automations and integrations (Workato, Workday, Greenhouse, Slack) using production-quality code. Improve CI/CD, reliability, observability, and AI-driven automation (Claude, MCP). Serve as technical lead for People Technology, partner with stakeholders, and drive scalable, maintainable automation solutions.

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.

Lead functional and system safety engineering for a Level 4 autonomous trucking platform. Responsibilities include hazard analysis, safety requirements, safety cases, risk assessments, FMEA, fault-tree and STPA analyses, ODD evaluation, verification and validation strategy, supplier coordination, launch readiness, incident analysis, and safety governance. The role partners across autonomy, hardware, software, vehicle integration, operations, fleet, and testing teams to ensure safety risks are identified, mitigated, traceable, and supported by evidence for deployment decisions.

Design, build, and maintain scalable AWS and Azure infrastructure using Infrastructure-as-Code. Develop automation, deployment pipelines, and production release processes. Contribute code to cloud services, manage networking and IAM, ensure availability and security, and respond to incidents while collaborating on observability and security practices.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead development of guidance, navigation, and control (GNC) systems from concept to flight-ready software. Design and simulate algorithms, translate requirements into embedded implementations, support HIL and flight test, analyze test data, coordinate across vehicle design, avionics, structures and testing, and document results while mitigating technical risk.

Architect and refine scalable cloud infrastructure software for enterprise and internet-scale environments. Responsibilities include developing robust software, designing systems supporting 1,000+ nodes, optimizing performance, and collaborating with distributed technical teams in agile environments.

Designs, builds, deploys, and supports full-stack enterprise applications using Databricks and Azure. Develops user interfaces, backend logic, APIs, workflows, secure write-back, reporting, forecasting, planning, and operational tools. Integrates enterprise platforms including SAP, Salesforce, and Power BI. Partners with business, data, and analytics teams, supports production applications, and establishes delivery standards while coordinating offshore development resources.

Develop, modernize, operate, and maintain mission-critical software for CNMOC. Responsibilities include architecture, coding, testing, debugging, ETL/ELT pipeline development, data integration, cloud and container operations, translating customer needs into user stories, sprint delivery, technical communication, and mentoring developers. The role also supports geospatial systems, databases, DevSecOps practices, Agile ceremonies, and customer issue escalation.

Advise enterprise customers on designing, securing, administering, and deploying Databricks environments on Microsoft Azure. Architect scalable cloud infrastructure, networking, identity, disaster recovery, observability, and infrastructure-as-code solutions. Support pre-sales activities through proof-of-concept architectures and technical content, while sharing expertise through training, tutorials, hackathons, conferences, and open-source contributions.

Lead design and delivery of full-stack, AI-powered products and platform capabilities. Own technically complex, mission-critical areas end-to-end, partner with product and customer teams, scale data ingestion and APIs, and mentor engineers to raise engineering quality and velocity.

Lead a global network engineering team to design, scale, and operate large-scale IP and optical backbone and hybrid cloud connectivity. Own technical roadmap, cloud connectivity strategy, automation, vendor relationships, hardware/software integration, testing, tooling, DDoS mitigation, operational excellence, and participate in 24x7 on-call rotations while ensuring compliance in regulated environments.

Lead technical strategy and execution for a backend ledger team building highly available, audit-grade financial systems. Drive architecture, reliability, monitoring, on-call practices, code quality, cross-functional collaboration, and mentoring to ensure accurate, scalable ledger operations.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Design, develop, deploy, and maintain scalable Workday Finance software, APIs, backend services, distributed systems, and data models. Support financial transactions, accounting, billing, revenue, reporting, reconciliation, and auditability. Troubleshoot production issues, improve reliability and observability, contribute to CI/CD and testing, participate in architecture decisions, and mentor engineers while partnering with Product Management and Finance experts.