Top Remote Python Jobs in Houston, TX

Lead architecture and reliability for a high-scale alerting platform. Design rule-based, ML-driven, and correlated detection systems; own Kafka-based event delivery, webhook reliability, idempotency, and sustained-load performance. Transform security and network telemetry into topology and dependency models that support LLM-assisted investigation and remediation. Provide cross-team technical leadership, mentor engineers, and guide long-term platform strategy across multiple alerting teams.

Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.

Own BAMKO’s AWS and Cloudflare infrastructure end to end, improving availability, scalability, resilience, automation, monitoring, disaster recovery, and cost efficiency. Manage infrastructure as code, databases, production upgrades, backups, and the AWS Well-Architected improvement roadmap. Serve as the primary on-call resource for infrastructure incidents and lead post-incident reviews.

Lead architecture and development for AKS Flex, scaling etcd and Kubernetes control planes for distributed node fleets. Design remote-node provisioning, lifecycle automation, Kubernetes-native APIs, secure bootstrap, upgrades, and reliability systems across Azure, on-premises, edge, and other clouds. Drive performance testing, production operations, open-source collaboration, technical strategy, cross-team alignment, and mentorship while solving distributed-systems, storage, security, and scalability challenges.

Leads optical design verification testing for coherent linecards and pluggables. Develops test plans, characterizes optical performance, analyzes data, investigates technical issues, and ensures compliance with specifications. Builds Python-based test automation, explores AI integration, collaborates with hardware, firmware, manufacturing, and design teams, and mentors junior engineers throughout the product development lifecycle.

Lead calibration architecture, optical integration, sustaining, troubleshooting, and manufacturing enablement for high-speed coherent optical linecards. Analyze calibration and test data, resolve production and field issues, develop lab-to-factory bring-up workflows, and collaborate with DSP, hardware, firmware, test, and manufacturing teams. Mentor optical engineers, communicate technical risks and trade-offs, and apply coherent optics expertise to current and next-generation platforms.

Supports ASIC physical design and tape-out activities by analyzing PPA metrics, developing dashboards, automating Place-and-Route data workflows, estimating power, and conducting Static Timing Analysis. Collaborates with cross-functional teams to troubleshoot issues, identify optimization opportunities, document findings, and improve design implementation. The role is a 4–8 month hybrid co-op for students pursuing electrical or computer engineering degrees.

Lead customer deployments of Kubernetes and vCluster on bare-metal GPU infrastructure, configuring GPU nodes, networking, storage, RDMA, and InfiniBand. Validate production-ready managed Kubernetes environments, troubleshoot complex infrastructure, transfer operational knowledge, document reusable deployment playbooks, and provide feedback to Engineering and Product. Support pre-sales proof-of-value engagements and help AI cloud and factory customers independently operate and scale their platforms.

General application for future opportunities at a remote open-source consulting company. Potential work includes software engineering, scientific computing, AI/ML, data engineering, DevOps, developer tooling, frontend development, technical writing, design, and community engagement. Quansight welcomes professional, research, educational, personal-project, and open-source experience, including early-career and internship interest.

Support onboarding and configuration of a federal customer’s GCP landing zone. Responsibilities include cloud project provisioning, automation scripting, monitoring, patching, platform support, and change and incident ticket resolution. The engineer will apply GCP administration, IAM, security policy, observability, CI/CD, and infrastructure automation expertise, participate in scheduled on-call rotations, and support compliance requirements in FedRAMP environments.

Define and enforce governance and standards across AWS, Azure, GCP, OCI, and Snowflake platforms. Design and implement cloud platform features, infrastructure as code, automation, monitoring, and reliability improvements. Support application engineering teams with infrastructure design, troubleshooting, security, performance, cost efficiency, backup, and disaster recovery. Configure and automate Windows and Linux systems, servers, storage, networking, Active Directory, Group Policy, and Remote Desktop Services.

Design, develop, deploy, and maintain end-to-end cloud-hosted and cloud-native applications. Collaborate with federal technical and business leads to define requirements and solutions, own software engineering lifecycle activities, manage code repositories, follow Agile and coding standards, and deliver tested software artifacts. The role also involves cloud architecture, APIs, application security, distributed systems, serverless deployments, and supporting cloud infrastructure.

Build, deploy, and own scalable consumer applications and services for a digital lending platform, with a focus on React frontend development. Responsibilities include designing features, automated testing, full software development lifecycle participation, collaboration with cross-functional teams, system scalability and reliability, technical debt reduction, mentoring frontend engineers, and using AI-driven coding agents and agentic workflows.

Design and build Go-based storage control-plane services, CSI drivers, integrations, and tooling for Kubernetes AI and compute workloads. Automate storage provisioning using Terraform/OpenTofu and GitOps tools, support hybrid and bare-metal deployments, and develop observability for performance and reliability. Integrate enterprise storage platforms such as Dell PowerScale and VAST across cloud, edge, and air-gapped environments, including K0rdent, Cluster API, Harbor, and PKI/TLS infrastructure.

Install, configure, maintain, and secure Nokia’s Linux and Windows infrastructure, including physical and virtual servers, clusters, grids, and cloud environments. Monitor system health, performance, logs, metrics, and alerts; troubleshoot hardware and system issues; manage incidents; and implement automation using configuration management and scripting tools. Collaborate with data science and engineering teams on ML/AI workflows, provide Linux administration guidance, and maintain technical documentation.

Develop and optimize GPU-accelerated numerical linear algebra libraries for AI and high-performance computing. Design kernel generation, JIT compilation, matrix operations, and operator fusions; lead projects involving multiple engineers and teams; provide technical mentorship; collaborate with product management and customers on requirements and roadmaps; and improve performance and maintainability through architectural enhancements.

Build and maintain GTM automations, integrations, workflows, account scoring, data enrichment, and internal tools across revenue systems. Use APIs, scripting, SQL, and AI/LLM technologies to improve lead processing, product usage visibility, customer handoffs, and expansion opportunities. Monitor integrations, maintain data quality, document workflows, support RevOps users, and establish AI governance across go-to-market operations.

Design, develop, and maintain complex distributed software systems. Translate product requirements into scalable, secure, modular designs; write well-tested code; lead design and code reviews; guide agile sprint teams; collaborate with stakeholders; and mentor engineers. The role also contributes to technical strategy, resolves delivery impediments, and promotes engineering best practices.

Develop and support NVIDIA CUDA Math Libraries across emerging and specialized platforms. Responsibilities include platform integration, functional qualification, defect triage, bug fixing, performance benchmarking, regression resolution, and building CI/CD qualification pipelines. The role requires high-performance numerical software development using C++ and Python, parallel computing, numerical methods, and software architecture, with preferred experience in CUDA, GPU computing, math libraries, cross-platform development, and embedded or safety-critical systems.

Staff Software Engineer responsible for setting technical direction, architecting scalable distributed systems, shipping high-impact features, and building AI-powered tools for a virtual healthcare platform. The role includes mentoring engineers, partnering with product and clinical leadership, translating user needs into technical solutions, and guiding frontend and backend application development in a fast-paced startup environment.

Own the full-stack design and development of a customer-facing web application in partnership with company founders. Build features using TypeScript and Python, create polished interfaces, and take products from customer discovery through release. Develop demos, launch materials, and promotional campaigns while using analytics and customer feedback to prioritize work. The role requires LLM and agent-based systems experience, strong product judgment, and the ability to work independently in a remote startup environment.

Design and optimize carrier networking solutions, support RFP/RFQ responses, and provide technical guidance for network planning and deployment. The role develops specifications, evaluates products and vendors, creates sales engineering tools, analyzes network economics and roadmap impacts, and collaborates with marketing, product, sales, optical, and software engineering teams. Expertise in carrier-class optical and IP networking, scripting, planning tools, and DWDM systems is required.

Leads and develops a Quality Engineering team while defining scalable automation frameworks and AI-enabled testing workflows. Owns testing strategy across web, mobile, API, performance, accessibility, integration, and regression testing. Partners with Product, Engineering, Architecture, DevOps, and Business Analysis to advance shift-left quality, CI/CD quality gates, release readiness, platform resiliency, and quality metrics. Drives modernization of legacy tools, automation adoption, AI-assisted testing, continuous improvement, and business-aligned quality outcomes.

Lead the design, operation, and security of scalable AWS cloud infrastructure. Drive platform engineering, Infrastructure as Code with Terraform, CI/CD automation, observability, reliability, cloud security, and self-service capabilities. Partner across engineering and security teams, lead architectural decisions, mentor engineers, improve developer experience, and implement automation and AI-powered tooling to strengthen platform performance and operational excellence.

Build and scale foundational services, APIs, pipelines, and distributed systems for an AI-powered SMS marketing platform. Own backend systems, improve scalability, reliability, modularity, and observability, and collaborate with engineering, data, product, and go-to-market teams. Use AI-first development practices, contribute to AI integration strategy, reduce technical debt, and support high-scale customer workloads across AWS and Kubernetes.