Top Remote Python Jobs in Houston, TX

Own product features from research and UX design through full-stack production delivery. Design user flows, wireframes, and reusable components while building responsive front-end experiences, APIs, back-end logic, and database solutions. Improve hiring marketplace workflows, dashboards, scheduling, messaging, and integrations. Use user feedback, analytics, funnel metrics, and A/B testing to guide iteration while ensuring performance, accessibility, and security.

Build and maintain full-stack systems for a global monitoring application supporting federal partners and satellite data access. Responsibilities include designing scalable backend services and frontend applications, improving architecture and infrastructure, integrating complex customer requirements, and owning mission-system quality and availability. The role requires collaboration across teams throughout the engineering lifecycle and experience with cloud infrastructure, observability, geospatial data, and complex integrations.

Design and implement scalable cloud infrastructure, monitor performance, automate processes, ensure security and compliance, and lead a DevOps team.

Build and maintain cloud and on-premises infrastructure, CI/CD pipelines, deployment automation, and infrastructure-as-code. Integrate DevSecOps practices, manage releases and rollbacks, and establish monitoring, logging, alerting, and observability. Collaborate with development, QA, and operations teams while supporting data-management processes and scalable systems across Azure and containerized environments.

The Quantitative Developer will assist with client onboarding, support, implement and maintain new functionality for portfolio compliance, and improve team documentation.

Drive the Continuous Integration team, ensuring build systems' reliability and scalability, and mentor CI engineers while improving developer productivity through automation and tooling.

Own cross-team, platform-level engineering initiatives end-to-end: architecture, migrations, observability, on-call, and customer outcomes. Drive AI-native tooling and agentic AI adoption, mentor senior engineers, and set technical standards across teams.

Architect and deliver high-scale NVIDIA GPU compute environments for enterprise AI workloads. Lead bare-metal provisioning, cluster management, operating-system hardening, scheduler and workload configuration, monitoring, performance validation, and day-two operations. Serve as a customer-facing technical authority, supporting presales discovery, architecture, bills of materials, estimation, and client workshops. Design repeatable AI infrastructure across DGX, HGX, MGX, NVL72, and Cisco AI POD platforms.

Architects and delivers high-performance AI networking fabrics using NVIDIA InfiniBand and Spectrum-X Ethernet. Designs lossless, automated, scalable network infrastructure for DGX and AI cloud environments; configures routing, QoS, RoCEv2, SHARP, telemetry, and DPU offload. Owns cabling, link validation, performance testing, infrastructure-as-code, and day-two operations. Provides technical leadership in client workshops, presales scoping, bills of materials, cost estimation, and integration with enterprise networks.

Leads architecture, provisioning, automation, performance validation, and day-two operations for large-scale NVIDIA GPU clusters and AI compute environments. Designs repeatable bare-metal and Kubernetes-based infrastructure using schedulers, monitoring, networking, and infrastructure-as-code. Serves as the technical authority for DGX, HGX, MGX, NVL72, and Cisco AI POD deployments, while supporting pre-sales discovery, bills of materials, solution estimates, client workshops, and executive-level communication.

Architects and deploys high-performance NVIDIA InfiniBand and Spectrum-X Ethernet fabrics for AI infrastructure. Responsibilities include fabric topology, routing, congestion control, RoCEv2, DPU offload, telemetry, automation, cabling, optical validation, performance testing, and infrastructure-as-code. Leads client delivery, pre-sales scoping, bills of materials, technical workshops, and integration with enterprise networks. The role requires translating complex network architectures into scalable deployments and commercial outcomes.

Design, build, and maintain scalable, highly available AWS cloud infrastructure for healthcare SaaS services. Develop Infrastructure-as-Code deployments and CI/CD pipelines across environments, manage Kubernetes and serverless workloads, and own monitoring, alerting, observability, disaster recovery, and backups. Strengthen cloud security through IAM, WAF, KMS, secrets management, certificates, and logging. Contribute to system reliability, documentation, and on-call support while collaborating on secure, cost-efficient infrastructure solutions.

Validate and characterize high-speed analog and mixed-signal IPs, test chips, and ASIC products. Develop automated lab scripts and 24/7 testing flows, configure devices, operate measurement equipment, analyze results, debug hardware, review PCB and package designs, document test procedures, support reliability and ATE testing, and collaborate with design and system teams.

Develops electrical, optical, and thermal test plans, algorithms, hardware, software, and automated production test solutions for photonic integrated circuits. Responsibilities include device characterization, instrument control, motion and vision systems, test station qualification, Gage R&R, SPC, documentation, data analysis, troubleshooting, and cross-functional project coordination.

Designs and manages AWS cloud infrastructure and Amazon EKS platforms using GitLab CI/CD and Infrastructure as Code. Builds ETL workflows and scalable data pipelines for analytics and AI workloads, supports MLOps/AIOps and FinOps capabilities, troubleshoots Linux systems, and improves platform performance, security, scalability, and availability.

Lead the architecture and evolution of managed Kubernetes and cloud-native services. Provide cross-team technical oversight, standardize platform practices, integrate open-source technologies, improve scale, performance, security, and operational efficiency, and mentor engineering teams. The role requires expertise in Kubernetes-based platforms, container runtimes, cloud-native architectures, and Go, Python, or Bash.

Drive technical strategy and roadmap for Affirm's Online Storage platform. Design and build multi-region, highly available datastore solutions and control planes for hundreds of databases. Automate schema migrations, disaster recovery, sharding, and performance tuning. Collaborate with product, SRE, and infrastructure teams, own operations and on-call readiness, and mentor engineers while setting code and design standards.

Design, develop, test, and extend NVIDIA’s large-scale object storage platform. Responsibilities include improving availability, reliability, durability, fault tolerance, and performance across deployments exceeding 10,000 nodes and exabytes of data. The role also automates storage infrastructure provisioning, management, and monitoring; supports AI/ML research teams; owns product delivery through support; and contributes to open-source storage projects.

Lead and set technical strategy for the Order Platform powering post-checkout flows (orders, captures, refunds, settlement). Design and ship highly available backend systems, own reliability/operational practices, mentor engineers, collaborate cross-functionally, and drive long-term technical decisions and execution plans.

Support and maintain AWS-based Amazon Connect contact center environments. Build proactive monitoring, logging, dashboards, and observability capabilities using Splunk, CloudWatch, and related tools. Troubleshoot production incidents, perform root cause analysis, implement corrective actions, and improve platform reliability. Collaborate with developers, architects, platform owners, and vendors to enforce monitoring standards and enhance operational performance across enterprise CCaaS platforms.

Lead architecture and hands-on development of the end-to-end video pipeline (live ingest, transcoding, storage, playback, and developer SDKs). Mentor engineers, collaborate across mobile/web/ML/platform teams, own monitoring and on-call support, and help scale video streaming and VoD capabilities for millions of streams and clips.

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

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.

Design and build scalable backend systems, data pipelines, and cloud infrastructure. Own CI/CD, containerization, databases, and reliability; collaborate with tech leads to deliver secure, production-grade solutions for startups in a fully remote environment.

Design, build, and operate internal developer platforms, CI/CD pipelines, developer environments, deployment workflows, and shared services. Create automation and custom tooling, prototype and productionize AI-assisted engineering workflows, strengthen cloud and container foundations (Kubernetes, IaC), instrument platforms with telemetry, and own platform projects end-to-end including rollout, adoption, and on-call.