Top Remote Python Jobs in Houston, TX

Lead architecture and hands-on implementation for Akamai’s cloud compute platform, including virtualization, hypervisors, operating systems, containers, and Kubernetes infrastructure. Own system design, build proof of concepts, guide engineering teams, influence product direction and roadmaps, establish best practices, and mentor engineers while delivering highly available, fault-tolerant distributed services.

Leads photonic integrated circuit test software architecture, infrastructure improvements, test-station automation, and hardware-control software development. Oversees software migration across LabVIEW, Python, MATLAB, C#, and C++, while leading a small software team and mentoring engineers. The role supports electrical and optical testing of InP-based transceiver PICs at wafer, die, and subassembly levels, including vision systems, probe positioning, calibration, and test software revision control.

Build and operate secure, scalable AWS and Kubernetes infrastructure using Terraform and GitOps. Administer and optimize Snowflake production environments, improve query performance, manage cloud and data-platform costs, and strengthen FinOps practices. Maintain CI/CD pipelines, observability, IAM, RBAC, networking, and secrets management while aligning with HIPAA and SOC 2 requirements. Participate in on-call rotation and collaborate with engineering, data, and security teams. Use AI-assisted engineering tools safely for infrastructure, scripting, documentation, and analysis.

The Full-Stack Engineer will enhance backend functionality, collaborate with teams, and maintain platform performance and security, requiring expertise in Python.

Designs and leads enterprise Cisco ThousandEyes deployments, including architecture assessments, agent rollouts, test and alert strategies, integrations, migrations, and client roadmap sessions. Serves as a Level 3+ escalation point for networking issues, develops automation using Python, APIs, and Terraform, supports presales and SOW scoping, mentors engineers, and advises strategic accounts on digital experience monitoring.

Build and maintain scalable, internationalized React interfaces for a SaaS platform. Implement localization in front-end components, manage localization files, coordinate translation workflows, and validate localized builds across languages and regions. Partner with engineering, design, vendors, and localization teams to resolve UI and internationalization issues, support localization QA, and ensure release readiness. The role requires strong front-end development, localization engineering, testing, communication, and independent project management skills.

Design, develop, launch, and maintain scalable backend systems and APIs used by merchant and partner integrations. Collaborate with engineers and stakeholders, balance speed with system quality, debug code, conduct code reviews, and write tested, extensible software. The role requires experience with distributed systems, Python or Kotlin, AWS, MySQL, and Kubernetes, along with strong communication and ownership of professional growth.

Senior backend-focused engineer to provide technical leadership across backend, APIs, and data pipelines. Collaborate with product, design, and stakeholders, author documentation, and drive engineering best practices on a distributed remote team building scalable energy software.

Build and maintain developer workflows, CI/CD and deployment automation, containerized development environments, SDK packaging and release pipelines, AI performance dashboards, and productivity tools. Design scalable software and developer tools for novel hardware platforms, collaborate with hardware and ML teams, manage C++ codebases, establish engineering standards, and optimize software delivery and production readiness.

Deploy and operate cloud-native AI infrastructure across AWS, GCP, and Azure, including Kubernetes, networking, identity, security, multi-region, and data residency configurations. Build infrastructure as code, CI/CD, GitOps, observability, and alerting while supporting research, ML, and GPU platforms. Partner with clients and internal engineering and science teams on enterprise deployments, compliance, reliability, cost, and production hardening.

Lead a small Infrastructure and Agentic Platform team while serving as a hands-on engineering manager. Own AWS infrastructure, data platforms, security, compliance, reliability, and AI-native software development workflows. Mentor engineers, guide hiring, define the roadmap, and build tools for planning, coding, testing, monitoring, and triage. The role requires balancing AI acceleration with engineering quality, cost, security, and operational reliability in a healthcare AI environment.

Leads AI-enabled quality engineering and test automation across the SDLC. Builds automated UI, API, database, and batch testing frameworks; integrates intelligent testing into CI/CD pipelines; applies AI for test generation, defect prediction, root-cause analysis, regression optimization, anomaly detection, and quality monitoring. Partners with cross-functional teams, develops quality gates and dashboards, evaluates emerging AI tools, and mentors QA staff. Requires 5+ years of QA or test automation experience, programming proficiency, and hands-on AI/ML implementation.

Build and maintain scalable AWS infrastructure using Terraform and AWS CDK. Design highly available cloud environments, automate operational workflows with TypeScript, implement policy-as-code guardrails, optimize cloud costs, and lead disaster recovery planning and testing. The role also involves CI/CD, Kubernetes, networking, identity platforms, cross-team consensus building, project ownership, communication, and mentoring junior engineers.

Build Python backend services and data-intensive systems supporting member identity, eligibility, billing, partner integrations, reporting, and analytics. Design APIs, asynchronous workflows, and data pipelines; validate, reconcile, retry, replay, and recover inconsistent external data. Improve production reliability, observability, testing, and performance while collaborating with Engineering, Product, and Operations. The role offers growth toward independent ownership of services and technical decisions.

Leads production delivery of intelligent, full-stack solutions across data pipelines, APIs, applications, infrastructure, and ML systems. Acts as the primary technical client contact, translates architecture into delivery decisions, manages technical risk, and leads a cross-functional squad of engineers and data scientists. The role combines hands-on engineering with mentoring, code reviews, architecture, product scoping, and client-site implementation in regulated and critical-infrastructure environments.

Own developer productivity across a large monorepo and the path to production. Improve build, test, deployment, and coverage workflows; enable teams to ship safely and quickly; support multi-cloud and multi-region expansion; and strengthen operational excellence. The role requires delivering framework-level improvements across teams while contributing to backend feature code and working directly with customers on complex scaling challenges.

Owns the integration of Rapid FI into the CMS Fraud Prevention System and builds, operates, and secures data pipelines supporting fraud-detection workflows. Responsibilities include AWS application integration, data ingestion and transformation, Kubernetes/EKS operations, identity and RBAC integration, audit logging, compliance documentation, regulated-environment operations, and coordination with product teams for releases and handoff.

Design, build, and maintain automation workflows and integrations across Microsoft 365, Google Workspace, and other SaaS platforms using PowerShell, Python, Azure services, and APIs. Automate user management, notifications, data sync, and access workflows while implementing secure logging, monitoring, error handling, and documentation. Collaborate with IT, Security, and business teams to optimize processes and reduce manual work.

Own the reliability, scalability, security, and performance of Rezilient’s healthcare platform. Design and operate cloud infrastructure, Infrastructure as Code, CI/CD pipelines, observability, container orchestration, incident response, automation, disaster recovery, and security controls for PHI. Establish SLOs, SLIs, and error budgets; reduce operational toil; lead postmortems; and partner with engineering, product, and security teams to deliver resilient services.

Operates and supports customer cloud environments across Azure, AWS, GCP, and OCI. Responsibilities include monitoring, incident and request response, provisioning, access management, maintenance, troubleshooting, governance, documentation, customer communication, and ITSM execution. The role also uses scripting, automation, monitoring, and DevOps/SRE practices to improve operational consistency. Participation in after-hours and weekend on-call support is required.

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Design, build, deploy, and operationalize Palantir Foundry solutions for defense and security customers. Develop data pipelines, ontology models, operator applications, integrations, and custom widgets using real-time intelligence. Debug infrastructure, networking, and application layers across cloud, hybrid, restricted, disconnected, and on-premises environments. Partner with customer stakeholders, advise technical teams, and own solutions end to end. Travel to secure customer sites and operations centers approximately 25–75% of the time.

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Build and maintain large-scale automation and control systems for Azure Kubernetes Service. Responsibilities include improving Kubernetes cluster performance and reliability, automating cluster lifecycle operations, developing safety and observability tools, supporting secure infrastructure changes, participating in production operations and on-call rotations, and mentoring engineers through design reviews and continuous improvement.