Top Remote Python Jobs in Houston, TX

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

Design, build, and operate highly available, high-throughput backend services for Twilio SendGrid. Modernize Go-based microservices, manage dual-cloud AWS/Azure infrastructure with Terraform, improve observability and reliability, mentor engineers, and balance feature delivery with platform refactoring.

Design, build, and deploy scalable contracts management features using Python and AWS. Collaborate with teams to implement backend services and maintain a growing React project.

The Sr. Network Engineer designs, implements, and operates cloud and hybrid network infrastructure, emphasizing automation and customer-centric solutions while supporting 24x7 operations.

The Senior DevOps Engineer will design and manage infrastructure, CI/CD pipelines, and ensure reliable operations for scalable systems.

The role involves setting up and managing cloud infrastructure, implementing CI/CD pipelines, and programming in modern languages with a focus on DevOps practices.

Design, develop, test, and own SDKs and REST APIs for a next-generation analytics platform. Collaborate with Product Management, contribute to DevOps and quality frameworks, perform code reviews, and mentor teammates to deliver performant, well-tested software.

Design, build, and operate high-scale backend APIs, services, event-driven workflows, queues, background jobs, caching, and integrations. Lead ambiguous technical initiatives from discovery through production, improve reliability and performance, debug complex production issues, and mentor engineers while partnering cross-functionally to deliver durable backend systems.

The Technical Solutions Engineer at Elation enhances customer experience by technical mentoring, integration support, and leveraging AI for efficiency in healthcare services.

The Senior Developer Success Engineer will support developers in deploying Temporal in cloud-native environments and optimizing performance, addressing infrastructure issues, and enhancing automation solutions.

Lead the design and implementation of AWS cloud solutions for enterprise applications, ensuring scalability, security, and compliance in the U.S. Healthcare domain.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

As a Pre/Post Sales Solutions Architect, you will demonstrate Gremlin's reliability solutions to customers, consult on architectures, and engage in technical projects while collaborating with internal teams.

Own operational excellence for cloud infrastructure: run incident management, improve reliability through automation, own a platform domain (e.g., Kubernetes, Temporal, observability), manage vendor and cost relationships, and deliver measurable reductions in incidents and costs within 12 months.

Deliver and scale full‑stack product features end-to-end: design and implement frontend and backend systems, align architecture, collaborate with product/design/data/QA, estimate work, ensure SDLC quality, communicate status, and participate in on-call rotation.

The DevOps Lead is responsible for designing and optimizing cloud infrastructure, managing CI/CD pipelines, mentoring the DevOps team, and ensuring system reliability across multi-cloud environments.

Design and deliver technical solutions for small-to-medium projects, gather customer requirements, create POCs, ensure scalability and security, collaborate with sales and delivery teams, troubleshoot issues, document designs, and participate in training and knowledge sharing.

Build and maintain scalable backend services and APIs for AI functionalities, collaborating on product development and optimizing system performance.

As an SDK Software Engineer, you will develop and maintain AI SDKs, collaborate with teams, and contribute to open-source projects.

Lead design, development, and administration of application interfaces, APIs, and secure file transfers. Administer GoAnywhere MFT, manage Windows/Linux servers, support Azure hybrid integrations, troubleshoot network connectivity, provide technical leadership, establish integration best practices, and mentor team members to deliver secure, compliant solutions.

Build and maintain data integration interfaces and ingestion pipelines between EHR systems and the Bayesian platform. Collaborate with client technical teams, implement automated integration tests, deploy and support go-lives, troubleshoot data correctness end-to-end, and develop tooling and automation (including LLM-driven) to scale integrations.

Lead full‑stack engineering projects across frontend and backend, design system architecture, collaborate with ML researchers and clinicians, implement user‑facing features, define APIs, write tests (unit/integration/e2e), produce technical specs, and use cloud infrastructure and CI to ship iteratively.

Own FPGA prototyping and silicon bring-up for next-generation communications ASICs. Build FPGA-based platforms, support first-silicon debug, validate high-speed interfaces, develop automated test infrastructure, and collaborate across ASIC, firmware, software, and systems teams.

Hands-on technical leader who manages and develops a networking engineering team; owns the enterprise networking roadmap; architects and delivers routing, switching, wireless, VPN, firewall, SD-WAN and cloud connectivity solutions; drives automation/IaC (Python, Ansible, Terraform, PowerShell), observability, resiliency, vendor management, and cross-functional collaboration; leads hiring, performance, and large-scale network modernization.

Lead full-stack product engineering for AI-powered healthcare features. Build frontend experiences, backend services, APIs, relational data models, and AI workflows. Prototype, ship, and iterate production systems; improve AI via evaluation and product signals. Ensure reliability, privacy, observability, and operational readiness while collaborating with product, design, customers, and engineers.