Top Remote Python Jobs in Houston, TX

Owns production reliability for a B2B SaaS platform, including SLOs, error budgets, observability, alerting, incident response, recovery exercises, performance and capacity engineering, load testing, disaster recovery, and production readiness. The role writes automation and production code, leads incidents, coaches engineering teams, and improves reliability across Kubernetes, Azure, databases, messaging, and service infrastructure.

Build and maintain full-stack features for Suwali, translating broad goals into practical plans and delivering work from exploration through deployment and follow-up. Collaborate with technical and non-technical colleagues, assess user feedback and data, communicate progress clearly, and contribute to product decisions. The role requires production engineering across frontend and backend systems, with potential future responsibility for managing and mentoring engineers.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Design and build automation platforms, validation systems, telemetry pipelines, performance frameworks, and diagnostic tools for qualifying next-generation Azure Storage hardware. Investigate distributed software, hardware, firmware, networking, and operating-system issues; analyze performance data; improve scalability and reliability; and contribute to technical architecture across Azure Storage infrastructure.

Performs site reliability engineering for large-scale cloud infrastructure, focusing on application and network performance, reliability, security, scalability, and capacity. Deploys highly available systems, automates cloud service deployments, monitors and troubleshoots services, analyzes logs and events, maintains SLAs, and resolves infrastructure issues. The role requires expertise in microservices, container orchestration, cloud migration, deployment automation, and multiple DevOps technologies.

Build full-stack applications for an AI-driven pipeline risk platform. Primary responsibilities include developing TypeScript and React interfaces, building TypeScript and Python APIs, designing asynchronous analytical workflows, integrating Databricks and Azure services, and enabling customer model deployment. The role also covers testing, security, performance optimization, database development, CI/CD, accessibility, API documentation, and collaboration with design, data science, product, QA, and engineering teams.

Leads a cloud platform engineering team responsible for cloud architecture, standards, automation, security, reliability, availability, and performance. Partners with architecture, risk, security, and application teams to deliver resilient cloud services and platform capabilities. Oversees cloud infrastructure enhancements, controls, observability, and operational excellence while managing staff development, hiring, performance, and technical strategy.

Develop and enhance the LEXSO security operations platform across frontend and backend systems. Build microservices, REST APIs, Kafka consumers, React interfaces, real-time visualizations, and integrations for cameras, sensors, drones, and other devices. Contribute to architecture, data modeling, CI/CD, testing, debugging, optimization, and Agile delivery while collaborating with distributed systems and automation specialists.

Own and re-architect Filevine’s end-to-end CI/CD systems across .NET, Python, and Svelte. Build internal developer tooling, improve testing and feedback cycles, enhance local development and onboarding, instrument DORA delivery metrics, and introduce AI-assisted development practices. The role includes infrastructure-as-code, containerization, mentorship, cross-team process improvement, and on-call ownership for delivered systems.

Develops and operates scalable Azure cloud platforms integrating specialized partner technologies. Responsibilities include implementing features, participating in code reviews, applying testing and debugging practices, analyzing telemetry and incidents, using AI-assisted development tools, and contributing to deployment automation. The role collaborates with engineers, product managers, and partners to deliver reliable services for enterprise and AI infrastructure workloads.

Own production reliability and infrastructure operations for the GrayKey cloud platform. Responsibilities include AWS monitoring, incident response, vulnerability remediation, networking, IAM and Okta administration, EKS and Argo CD operations, backups, recovery testing, Terraform changes, cost optimization, automation, documentation, and compliance support. The role requires independent work during Pacific and Mountain time-zone hours and involves less than 5% travel.

Build and maintain full-stack software using TypeScript, Go, and Python, including backend, frontend, and architectural development. Collaborate with developers, designers, product managers, and Department of Defense stakeholders to develop AI-powered solutions, take products from concept to launch, conduct code reviews, and support customers through travel when needed.

Develop, test, and ship features for patient-facing applications, booking systems, clinical operations tools, and internal platforms. Collaborate with senior engineers on implementation, code reviews, debugging, troubleshooting, and automation for scheduling and patient engagement workflows. Build foundational experience with mobile applications, healthcare data systems, APIs, databases, version control, and production software while contributing to a collaborative engineering team.

Design, build, and maintain scalable applications, APIs, mobile platforms, booking systems, clinical integrations, and healthcare data systems. Own features end to end, make architectural decisions, improve security and reliability, and contribute to cloud deployment, CI/CD, monitoring, and DevOps. Collaborate with clinical, operations, and patient experience teams to deliver secure digital tools that improve patient care and clinic efficiency.

Build and scale full-stack web applications, backend services, APIs, and distributed systems. Develop React and TypeScript frontends, backend services with Python, Node.js, or Go, and cloud-native applications using AWS, Docker, and Kubernetes. Work with databases, Kafka, AI/ML integrations, automated testing, security, and performance optimization. Collaborate with product, design, and engineering teams while troubleshooting production issues and delivering reliable software.

Leads the strategy, validation, and safety assurance of Level 3–4 autonomous driving behaviors powered by machine learning. Owns behavior-related safety cases, standards alignment, ODD and evaluation frameworks, safety metrics, launch-readiness assurance, and evidence assessment across simulation, closed-course, and public-road testing. Leads cross-functional technical collaboration and builds a high-performing AV behavior safety engineering team through hiring, coaching, and development.

Develops and sustains canvas and model-driven Power Apps using Dataverse, SQL Server, SharePoint, external APIs, and premium connectors. Designs relational data models, Power Automate workflows, reusable components, and deployment solutions across environments. Collaborates with clients to define requirements, milestones, and enhancements while supporting troubleshooting, incident remediation, documentation, governance, security, and compliance. The position is fully remote within the United States and supports government contracts.

Build and operate the infrastructure supporting Legion, including CI/CD pipelines, infrastructure as code, Kubernetes environments, observability, and deployments across cloud, on-premises, and customer environments. Improve developer tooling, support secure and compliant platform operations, and assist with deployments to customer and test sites. The role requires strong Linux, networking, scripting, containerization, and production infrastructure experience, with potential support for air-gapped and mission-critical systems.

Develop and optimize Firefox performance across Windows, Android, Linux, and macOS. Write code, tests, prototypes, and tooling; profile and diagnose bottlenecks; improve benchmarks; and lead performance initiatives. Collaborate across engineering teams, educate developers, drive projects to completion, own browser performance areas, and contribute to the team’s technical roadmap.

Own developer-experience workflows from discovery through adoption, acting as product manager, designer, and engineer. Build internal tools including TypeScript and React interfaces, backend services, APIs, CLIs, CI/CD integrations, and AI-enabled workflows. Conduct user research, define product scope, design experiences, ship software, measure adoption, and drive rollout. Candidates need 5+ years of software engineering experience and experience building developer-facing products.

Hands-on fellowship for university students and recent graduates interested in AI, backend engineering, cloud infrastructure, and software delivery. Fellows may research technology trends, build internal tools and automation workflows, explore LLM-powered agents, prototype backend or cloud solutions, and prepare technical documentation and client-readiness materials. The role emphasizes ownership, reliability, clear technical communication, and practical project experience.

Build and ship customer-facing transaction features end to end, including APIs, data models, pipelines, integrations, and user interfaces. Collaborate with product and design teams, contribute high-quality code, drive technical discussions, identify risks, and deliver production systems using a modern Python stack.

Own the architecture, implementation, and operational excellence of major Azure Boost DPU software components. Develop low-level systems software spanning operating systems, virtualization, networking, storage, device management, and hardware interfaces. Lead complex cross-functional initiatives, optimize hyperscale performance and reliability, resolve system-level issues, establish engineering practices, influence platform architecture, and mentor engineers across Azure infrastructure teams.

Lead the migration and maintenance of complex data flows into AWS cloud environments. Develop infrastructure as code and cloud service logic using Python, Ansible, CloudFormation or CDK, while supporting CI/CD pipelines, file transfer and messaging services, monitoring, troubleshooting, performance tuning, and documentation. Coordinate integration requirements with stakeholders and maintain secure, compliant federal cloud solutions.

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.