Top Remote Python Jobs in Houston, TX

Build and operate internal developer platforms, shared services, cloud infrastructure, delivery pipelines, and golden paths. Own reliability, security, observability, incident response, and cost optimization for production services. Shape platform architecture and engineering standards, advance AI-assisted software delivery, and mentor engineers across operating companies. The role is a hands-on principal individual contributor responsible for taking major platform capabilities from design through ongoing operation.

Designs and implements enterprise AWS solutions for contact centers, primarily using Amazon Connect and Salesforce Service Cloud Voice. Responsibilities include developing integrations, configuring cloud services, advising on technical requirements, leading development teams, conducting code reviews, troubleshooting, documenting solutions, and training users. The role requires programming proficiency, AWS architecture knowledge, infrastructure automation, CI/CD experience, and the ability to lead technical delivery with minimal direction.

Designs and maintains automation scripts for network provisioning, application deployment, CI/CD integration, regression testing, and server monitoring. Deploys applications to WebLogic and JBoss, supports development-to-production transitions, and builds proactive alerting for server and application health using Python, Bash, and shell scripting.

Designs, scales, and manages AWS WorkSpaces virtual desktop environments, including operating systems, compute, storage, directory and identity integrations, MFA, encryption, networking, monitoring, patching, troubleshooting, application delivery, and cost optimization. The role also requires securing streaming protocols, automating user provisioning, and supporting AWS infrastructure through scripting and core AWS services.

Build, operate, and improve cloud infrastructure for FedRAMP-authorized environments, including AWS GovCloud, Kubernetes, Terraform, Ansible, CI/CD, observability, and security automation. Investigate production incidents, remediate vulnerabilities, support compliance and audits, and improve reliability, scalability, and monitoring. Collaborate with engineering, security, compliance, and international teams while making independent architectural and operational decisions.

Build and maintain scalable full-stack web applications across front-end and back-end systems. Develop RESTful APIs, integrate AI and machine-learning models using Python, manage SQL and NoSQL databases, and create GitHub Actions CI/CD pipelines. Collaborate with data scientists, troubleshoot and improve existing software, participate in code reviews, and apply modern DevOps, cloud, containerization, and microservices practices.

Designs, verifies, documents, and debugs complex FPGA-based digital systems using SoCs, embedded processing, high-speed interfaces, and custom IP. Translates system requirements into FPGA specifications, develops synthesizable SystemVerilog and verification IP, creates test strategies, integrates Xilinx AXI-based designs, and supports defect resolution. The role also drives design-quality practices and continuous improvement across long-term projects.

Develop and maintain Python backend services, primarily with Flask, while designing scalable architecture and integrating legacy systems. Build AWS solutions using Lambda, Cognito, SNS, SQS, and DynamoDB; maintain CI/CD pipelines and infrastructure as code with OpenTofu and Terraform. Collaborate in an Agile/Scrum environment, contribute to technical decisions and engineering standards, review code, and mentor junior developers.

Own the technical success of strategic customer deployments from design through production. Collaborate with customer architects, operators, and developers to optimize infrastructure, debug distributed systems and storage issues, build automation and API solutions, and translate operational needs into product improvements. Serve as the customer advocate within engineering while managing high-stakes technical challenges and deployment expectations. Travel or work onsite at customer locations up to 25%.

Build and maintain reliable, scalable cloud compute platforms across distributed services. Troubleshoot Linux, networking, and production issues; develop automation and AI-assisted tooling; improve monitoring, alerting, SLIs, and SLOs; conduct incident response and root cause analysis; and partner with engineering teams on system design, deployment safety, and operational readiness.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Develop and architect large-scale enterprise applications as part of an agile full-stack team. Design cloud-native architectures, microservices, APIs, data platforms, and responsive front-end applications. Analyze business and technical challenges, translate stakeholder needs into technical roadmaps, and support modernization initiatives. Collaborate on solution design, coding, reviews, testing, documentation, demonstrations, and production issue resolution while championing secure, scalable, maintainable engineering practices.

Develop scalable full-stack React applications and Java Spring Boot microservices within an Agile team. Responsibilities include architecture design, technical roadmaps, cloud-native and enterprise solution development, API and data platform design, modernization of Angular applications, root-cause analysis, stakeholder communication, documentation, code reviews, and delivery of reusable production features and frameworks.

Build high-performance, scalable simulation infrastructure and tooling for autonomous vehicle development. Design systems for scenario generation, simulation execution, synthetic data, and reinforcement-learning workflows. Collaborate with ML, perception, and controls teams to improve realism, performance, and validation pipelines while writing production-quality C++ and Python code, contributing to architecture, testing, and documentation.

Build and operate enterprise Amazon Connect contact centers and AI agents. Implement generative AI (Bedrock/Claude), serverless backends, CDK IaC, observability, testing, and integrations with CRMs and analytics. Own delivery from code to production, mentor engineers, and support customer-facing technical workstreams.

Develop and integrate mission-critical software within the TAK ecosystem, including ATAK, WinTAK, MILTAK, and TAK Server. Build CoT data pipelines, low-latency APIs, sensor and intelligence data ingestion systems, CI/CD pipelines, containerized deployments, and edge-deployed applications. Troubleshoot tactical networks and integration issues while translating defense mission requirements into scalable solutions. The role requires significant TAK ecosystem experience, multiple programming languages, security clearance, and up to 25% travel.

Owns the cloud architecture vision and roadmap for an AWS-first, multi-cloud SaaS environment. Designs secure, resilient, scalable, and cost-efficient infrastructure; leads cloud modernization; enables AI and data platforms; establishes Terraform, CI/CD, observability, security, governance, and reliability standards; and partners with engineering, security, operations, customers, auditors, and leadership. Coordinates major incident response and drives self-service infrastructure and developer experience improvements.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Lead a product engineering team to own roadmaps, design scalable cloud-native systems, ship customer-facing features, ensure quality and reliability, hire and mentor engineers, and coordinate cross-functional delivery.

Embed with customers to design, build, and deploy GC AI integrations into legal workflows. Develop production-grade API/webhook integrations, troubleshoot deployments, create reference implementations and documentation, and feed product insights back to Engineering to improve the platform. Travel to customer sites up to 25% as needed.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Own AssemblyAI’s go-to-market technology stack, including Salesforce, enrichment, outbound automation, routing, scoring, and AI agents. Build production automations, integrations, internal tools, and AI workflows for prospecting, research, personalization, and lead scoring. Convert product usage data into actionable sales signals, automate account targeting, maintain clean funnel data, and partner with Sales and Marketing leadership to improve pipeline and revenue operations.

Automate accounting and finance workflows across business systems, data exports, reports, and operational data sources. Responsibilities include improving reconciliations, journal-entry preparation, close tracking, reporting, exception management, and controls; building scripts, dashboards, templates, and workflows; connecting systems; documenting processes; and collaborating with accounting, finance, operations, and technology teams.

Lead development and maintenance of character creation, rigging, animation, and simulation tools for game production. Collaborate with artists, engineers, studios, and research teams to prototype workflows, integrate game engines, optimize environments, and apply AI/ML to improve development efficiency. Build and customize internal tools, automate project environments, troubleshoot production issues, document systems, and support varied client pipelines. Participate in internal demonstrations and conferences, with required travel.