Top Remote Python Jobs in Houston, TX

Design and implement system-level debugging, validation, and observability platforms. Build automated anomaly collection/analysis, visualization and root-cause tools, failure classification and monitoring frameworks. Extend compilers, runtimes and programming interfaces for profiling and instrumentation, improve bring-up and low-level debug workflows, lead cross-functional initiatives, support incident response, and establish debuggability and reliability best practices.

Early-career SDET on Release Integration Testing for Cerebras AI Inference Core. Write automation and tests across the AI stack, triage cross-stack failures, maintain branch stability, collect qualification evidence, and collaborate with feature and infra teams to prepare features for production release.

Design and develop software to automate bare-metal configuration, orchestration, scheduling, and job placement for large wafer-scale clusters. Build upgrade/patch workflows, monitoring, HA failure handling, visualization and alerting, and user/admin tools. Ensure on-premise and cloud deployment support and develop tests and debugging tools for distributed systems.

Design, build, test, and deploy scalable front-end and back-end software for a remote literacy assessments team. Collaborate with product, design, data science, and DevOps to improve APIs, reporting, and classroom reliability. Participate in code review, automated testing, deployment automation, monitoring, and cross-functional learning to deliver equitable education tools.

Build and maintain scalable backend systems and data pipelines for healthcare workflows. Collaborate cross-functionally to automate provider and patient workflows, prototype features, ship production-ready code, and ensure systems are maintainable and scalable.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Design, build, and operate production-grade OpenStack platforms including compute (Nova), networking (Neutron), and Ceph storage. Implement HA, capacity planning, virtualization tuning, SDN integrations, automation (Ansible/Terraform), Kubernetes-based control planes, bare-metal provisioning (Ironic), observability, upgrades, and on-call/night-shift support.

Work across frontend and backend to design, build, and ship annotation and review features; implement ingestion, storage, user management, and annotation pipelines; integrate model inference into workflows; optimize performance for large images/videos; design APIs and collaborate with product, operations, and annotators.

Support and improve production SaaS infrastructure across AWS, colocation, and hosted platforms. Administer Windows and Linux systems, virtualization, storage, networking, and database support. Lead incident troubleshooting, root cause analysis, monitoring improvements, vulnerability remediation, automation initiatives, and medium-sized infrastructure projects. Collaborate on compliance (SOX/PCI/HIPAA), disaster recovery, and documentation to increase operational reliability.

Build bespoke, mission-critical full-stack software for strategic (defense) customers: front-end, back-end, data integration, cloud (AWS/GCP), and CI/CD. Translate customer needs into technical requirements, mentor engineers, leverage AI tooling for rapid iteration, and deliver reliable solutions while traveling to customer sites.

The Software Engineer in Platform Operations designs and manages core infrastructure, ensuring secure, scalable, and reliable platform operations while collaborating with software engineers to improve deployment experiences.

Customer-facing senior Solutions Architect leading and mentoring engineers to design and deliver cloud-native, secure CI/CD solutions. Own POCs and packaging (Zarf/UDS), build CI/CD pipelines, deploy and troubleshoot containers and Helm/Kustomize artifacts across AWS/GCP/Azure, and drive process improvements and enablement for Defense customers.

Build full-stack features for AI voice and chat products that scale to millions of conversations. Integrate ASR/TTS and conversational models, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with product and ML teams to improve performance and user experience.

Lead end-to-end design, build, and operation of large-scale data pipelines on GCP/BigQuery, optimize data models and queries, integrate legacy SQL Server/SSRS systems, implement ETL/ELT and data quality frameworks, use intermediate Python for automation, and support BI/reporting with Power BI/Looker/Tableau while promoting AI tool adoption.

As an AWS Software Engineer II, you will develop microservices, support legacy systems, and guide junior engineers, while improving operational workflows in an Agile team.

Lead full-stack engineering for a B2B partner portal: design and deploy React/TypeScript front ends, .NET services, and Python data pipelines (Databricks). Integrate LLMs and agentic development into product and workflows, mentor engineers, ensure quality engineering practices, and resolve production issues end-to-end.

Provide mid/senior-level application DBA support for MySQL and PostgreSQL: participate in Agile teams, design data models, maintain DB environments, implement HA/DR and replication, optimize performance, lead production incident response, manage backups/patching/changes, and mentor junior DBAs.

Lead reliability, observability, and resilience for cloud-based financial SaaS. Define SLOs/SLIs, design monitoring/tracing, own incident response and runbooks, build IaC and automation, implement AIOps, perform chaos and load testing, and write production-grade Python tooling while ensuring security and compliance.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Design, implement, and operate low-latency, high-throughput C++, Go, and Python services for real-time sensor ingestion, tracking, inference, and data pipelines. Build IPC/messaging interfaces, optimize data structures and Protobuf serialization, deploy containerized services on Kubernetes (Argo/Helm) in GCP, and implement observability, testing with historic/simulated data, and end-to-end O&M.

Design, build, and maintain no-code/low-code and custom-code automations for influencer programs: discovery, onboarding, contracts, content tracking, reporting, and payments. Own integrations, webhooks, error handling, secrets management, and data validation (SQL) while partnering with marketing, finance, legal, and BI.

Design, build, and lead AWS-based contact center solutions (Amazon Connect, Salesforce Service Cloud Voice). Develop integrations, implement CloudFormation/Lambda, apply IaC and CI/CD, perform code reviews, provide technical advisory, documentation and training, and ensure secure, scalable architectures.

Design and build React-based applications, support component design and deployment practices, implement data storage and scalable performance optimizations, work with clients and technical leads, apply UI/UX principles, testing at all levels, collaborate on code reviews and agile delivery.

Embed with U.S. government and military customers to deploy, integrate, debug, and maintain C2 software in austere operational environments. Build integrations, troubleshoot distributed systems, contribute to core services, support on-call and nonstandard hours, and travel extensively to ensure mission reliability and deliver field-driven product improvements.

Build end-to-end production features across backend, frontend, and database. Integrate LLM APIs and agentic workflows into products and internal developer tools. Improve CI/CD, deployment, and developer infrastructure. Debug production issues on GCP and containerized services; participate in code reviews and architecture discussions on a small collaborative team.