Top Remote Python Jobs in Houston, TX

Design, implement, and operate scalable AWS and Kubernetes infrastructure using Terraform and automation. Improve CI/CD, observability, security posture, and developer experience; troubleshoot production incidents, maintain runbooks, and support customer-managed deployments.

Lead development and qualification of production PIC test capability, own tester qualification, drive test efficiency/capacity improvements, execute engineering change notices, participate in quality review boards, and collaborate with PIC design, fab, and module teams at the South San Francisco facility.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Lead backend-focused engineering to design and ship member- and care team-facing experiences. Own architecture end-to-end, set technical direction and quality standards, mentor engineers, and deliver scalable, secure APIs with CI/CD, cloud deployments, and GenAI/LLM-informed workflows.

Build and operate scalable Kubernetes (EKS) infrastructure, develop Terraform infrastructure-as-code, maintain internal developer platform and tooling, support automation, security, and performance, and participate in 24x7 on-call rotations and incident escalation.

Lead architecture and delivery of patient-facing pricing systems. Own data modeling, accuracy, and auditability. Ship features for pricing and cost-estimation, collaborate with product and engineering leaders, and mentor and grow the engineering team.

Lead design, implementation, and maintenance of system architectures across applications, infrastructure, and cloud platforms for federal IT modernization. Provide technical leadership, ensure performance, reliability, and integration, produce documentation, and collaborate with DevOps, security, and stakeholders within Agile teams.

Design, build, and operate large-scale distributed web-crawling and data ingestion systems. Improve throughput, reliability, observability, and data quality. Develop backend services for job orchestration and asynchronous workloads, partner with product teams to create data products, and mentor teammates on domain-specific acquisition techniques.

Lead an engineering product team building account management, portfolio tracking, and wealth management platforms. Provide technical leadership and architecture guidance, manage schedules and vendors, mentor engineers, drive DevOps and observability practices, collaborate with product and stakeholders, and own operational readiness and incident escalation. Hands-on data engineering experience with AWS, Python, Lambda, and Postgres is valued.

Provide advanced application development, integration, and troubleshooting for DDC/BMS/BAS projects. Configure BACnet/Modbus gateways, develop control databases and interfaces, support commissioning and service teams, review portfolio standards, mentor junior engineers, and participate in customer technical meetings and project lifecycle documentation.

Simulate and optimize ultra high-speed PCB channels (112G+ SerDes), guide digital hardware designers using simulation and measurements, design PCB test boards, document results, participate in design reviews, and improve SI processes while collaborating cross-functionally.

Build and maintain end-to-end features across frontend (React/TypeScript) and backend (Python/FastAPI), design and consume RESTful APIs, write well-tested code, collaborate with product and customers, and iterate quickly based on feedback to support hospital supply chain workflows.

Design and build full-stack applications that expose AI/ML insights. Develop backend services in Python, RESTful APIs, and containerized microservices. Build high-performance front-end interfaces with React/Vue/Angular. Implement cloud-native solutions on Google Cloud or Azure, manage relational and NoSQL databases, apply testing and CI/CD, and participate in Agile development and architecture sessions.

Design, build, and operate a secure, highly available ClickHouse Cloud platform for regulated and mission-critical environments across cloud, hybrid, and on-prem deployments. Develop Kubernetes-based deployments, Helm charts, operators, automation with Terraform/Ansible/CI-CD, and optimize database performance while ensuring compliance with security frameworks (NIST, FedRAMP, IRAP). Troubleshoot production issues and produce system and compliance documentation.

Lead architecture, implementation, optimization, and support of enterprise virtualization and hyperconverged infrastructure. Design solutions with VMware, Nutanix, and PowerFlex, manage upgrades/migrations, perform capacity planning and DR validation, support hybrid multi-cloud integrations, mentor engineers, lead workshops and executive discussions, and contribute to operational improvement and incident resolution within a 24x7 managed services environment.

As a Senior Product Support Engineer, you'll provide escalation support for security products, focusing on performance, reliability, and security for customers using Akamai's Zero Trust platform.

Build and evolve AssetWatch's industrial IoT SaaS platform across frontend, backend, and APIs using TypeScript, React, Node.js, and AWS serverless. Own features from design to production, improve scalability, reliability, and cost efficiency, support incidents and CI/CD, write technical design artifacts, mentor engineers, and responsibly leverage AI-assisted development tools with human review and testing.

Deploy, upgrade, and maintain High-Speed Data infrastructure (DNS, DHCP, DOCSIS). Administer CentOS/RHEL systems, automate with Python/Ansible/Shell, troubleshoot escalations, create LLDs, run upgrades, train teams, perform on-call duties, and ensure security and high availability.

Deploy, upgrade, and maintain High-Speed Data infrastructure supporting DNS, DHCP, DOCSIS provisioning and related platforms. Perform Linux (CentOS/RHEL) administration, scripting/automation (Python, Bash, Ansible, Docker), vendor management, troubleshooting, LLD documentation, project work, training, and on-call support to ensure availability and security of HSD services.

Design and implement browser automation and AI-assisted workflow solutions. Build integrations with enterprise applications and APIs, handle authentication, orchestration, exception handling, and improve reliability and performance of automation systems.

Design, implement, and maintain scalable, reliable, and secure platform infrastructure and tooling from robot to cloud. Write and review code, document systems, prototype and evaluate designs, collaborate with teams to improve frameworks, and support CI/CD, Kubernetes, IaC, and observability stacks.

Design, build, and maintain automation and deployment frameworks. Create Python automation scripts, custom Dockerfiles, and Helm charts; deploy and manage Helm across multiple Kubernetes clusters. Maintain configuration-as-code repos, implement CI/CD (preferably GitLab CI/CD), apply GitOps/Kustomize practices, troubleshoot platform issues, and collaborate with development teams to ensure scalable, documented platform operations.

Design, develop, and maintain custom Salesforce solutions (Apex, Visualforce, Lightning). Build AI-powered features using Salesforce Einstein and Agentforce, lead integrations, ensure data quality for AI readiness, manage deployments, test deliverables, and mentor junior developers.

Develop secure, data-rich frontend features using React and TypeScript for a DoD mission-planning platform. Integrate UIs with backend APIs, support map-based and AI-enabled decision-support workflows, write unit/integration tests, participate in code reviews and security remediation, and collaborate with cross-functional teams with periodic onsite sprint planning in Laurel, MD.

Build, test, and integrate secure backend services and APIs for DoD mission-planning. Work on REST and gRPC services, asynchronous workflows, geospatial databases, containerized deployments, CI/CD, automated tests, and vulnerability remediation while collaborating with AI/ML, frontend, and cybersecurity teams.