Top Remote Python Jobs in Houston, TX

Designs and builds highly scalable, fault-tolerant Azure compute services, microservices, REST APIs, billing pipelines, and distributed systems. Responsibilities include improving availability, security, scalability, performance, disaster recovery, and compute utilization; using telemetry and data-driven insights; developing cloud-native solutions with containers, NoSQL, and Big Data technologies; and leveraging AI-assisted development in an Agile environment.

Designs and manages DevOps processes, automation, CI/CD pipelines, cloud environments, containerized infrastructure, observability, and release systems. Partners with development, QA, DataOps, architecture, support, and operations teams to improve reliability, security, scalability, and performance. Responsibilities include infrastructure provisioning, monitoring, troubleshooting, root-cause analysis, technical documentation, tool evaluation, production support, and continuous improvement.

Serves as a senior SQL Server DBA and database engineering advisor for client environments. Responsibilities include performance tuning, cloud database architecture, high availability and disaster recovery, capacity planning, automation, monitoring, backup validation, deployment scripting, migrations, and incident root-cause analysis. The role also manages SSIS and SSAS solutions, develops reporting procedures, establishes service objectives, and advises technical and executive stakeholders. Up to 20% domestic travel is required.

Design and build backend services and APIs for identity resolution and platform integrations. Optimize event-driven pipelines processing billions of signals, deploy cloud-native services on AWS EKS and Kubernetes, and ensure reliability, observability, and scalability. Collaborate with engineering, product, and data teams to deliver identity solutions while mentoring junior engineers. The role requires expertise in backend or data engineering, distributed systems, streaming technologies, cloud deployment, data modeling, and high-throughput databases.

Own end-to-end full-stack product features using TypeScript, Node.js, React, Python, Kafka, and distributed systems. Design data models, backend services, event pipelines, interfaces, auditability, security controls, and AI agent experiences for a regulated fintech product. Operate production systems, collaborate with AI engineers, and help establish engineering practices on a small remote team.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.

Leads the design, implementation, optimization, and support of highly scalable Azure Storage services. Responsibilities include end-to-end performance testing, benchmarking, automation, profiling, bottleneck and root-cause analysis across compute, storage, and networking layers, KPI definition, scaling recommendations, and operational incident response. The role collaborates across teams, drives project and release plans, supports reliable and secure services, and mentors engineers while participating in on-call responsibilities.

Develop and operate software for Azure’s hyperscale networking infrastructure and SONiC switch and router platforms. Responsibilities include designing, coding, optimizing, debugging, and maintaining network software; supporting packet forwarding, telemetry, observability, reliability, and performance; creating design and release plans; responding to incidents; and mentoring engineers. The role requires expertise in software engineering, IP networking, distributed systems, Linux, SDN technologies, and container-based environments.

Build and operate scalable backend services and APIs for Airbnb’s global insurance platform, including policy, coverage, enrollment, regional rules, experimentation, and analytics capabilities. Translate regulatory requirements into reusable systems, improve conversion and reliability through data, and collaborate with product, legal, security, privacy, and engineering teams. The role includes architectural design, code reviews, monitoring, on-call participation, and mentoring engineers.

Build, automate, secure, and maintain Google Cloud environments for a federal health customer. Responsibilities include managing Compute Engine, GKE, Cloud Run, networking, IAM, Terraform modules, CI/CD pipelines, monitoring, logging, troubleshooting, and compliance documentation. The role is fully remote and requires support for federal security and operational frameworks.

Troubleshoot customer issues across Linux, Kubernetes, GPU clusters, networking, storage, and system services. Participate in 24/7 incident response, communicate with customers, coordinate provider resolution, and create runbooks, monitoring, dashboards, alerts, and automation using Python or Bash. The role also investigates recurring infrastructure failures and improves reliability before incidents affect customers.

Troubleshoot customer AI infrastructure issues across Linux and Kubernetes, diagnose GPU and cluster failures, participate in 24/7 incident response, coordinate provider resolutions, and communicate clearly with customers. Build Python or Bash automation, monitoring, dashboards, alerts, runbooks, and documentation to prevent recurring problems. Experience with NVIDIA GPUs, HPC networking, schedulers, observability tools, and infrastructure-as-code is advantageous but not required.

Build and deploy secure business automations and integrations across SaaS tools, internal systems, and APIs. Partner with stakeholders to identify high-impact workflow improvements, apply AI and agentic patterns where appropriate, and establish scalable engineering practices for documentation, testing, access controls, secrets management, logging, and maintenance. The role also helps shape automation infrastructure and team standards while collaborating with security and IT leadership.

Designs, deploys, and operates secure, scalable AWS cloud infrastructure for VA migration initiatives. Responsibilities include CI/CD automation, infrastructure as code, cloud architecture diagrams, permissions management, monitoring, security compliance, cost optimization, troubleshooting, and support for AWS GovCloud environments. The engineer will configure VAEC environments, address cloud-readiness gaps, document solutions, mentor junior staff, lead technical projects, collaborate across teams, and participate in on-call support.

Performs day-to-day administration, maintenance, upgrades, monitoring, backup, modernization, and security of complex Windows, Linux, and AWS cloud environments. Installs software, audits systems, develops operating procedures, troubleshoots performance issues, implements infrastructure automation, and collaborates with network and systems teams. The role also provides technical guidance, supports projects, maintains documentation, and participates in on-call emergency support.

Leads software testing activities, including test planning, test case and script development, manual and automated testing, defect analysis, verification, test metrics, and reporting. Collaborates with technical and project stakeholders to resolve complex issues and ensure software meets requirements. Requires expertise in functional, regression, integration, performance, security, exploratory, and user acceptance testing, along with Agile, CI/CD, version control, and test management practices.

Designs, deploys, maintains, and secures cloud solutions across AWS, Azure, GCP, and OCI. Develops automation using Bash, PowerShell, and Python; monitors and tunes cloud platforms; maintains documentation and operating procedures; advises implementation teams; supports migrations and infrastructure buildouts; resolves escalations; and collaborates with internal and external stakeholders.

Develops and maintains high-quality systems software and microservices for Azure Messaging services, including data storage and replication. Drives product and engineering-process innovation, applies AI to software development, ensures software quality and stability, and uses rigorous development practices including requirements, testing, and efficient coding techniques.

Designs, develops, tests, deploys, monitors, and operates large-scale distributed cloud services for Azure Arc. Builds software across agents, Kubernetes environments, and globally distributed Azure services using languages such as C# and Go. Responsibilities include automation, debugging, performance optimization, reliability improvements, telemetry, live-site operations, and cross-team collaboration. The role requires participation across the full software development lifecycle and ownership of features from design through production support.

Leads architecture and development of Azure Storage table, metadata, and indexing systems at massive cloud scale. Designs distributed-system primitives for partitioning, indexing, transactions, consistency, replication, caching, and high-performance data access. Drives architectural decisions, prototypes innovations through production, and improves performance, scalability, reliability, and cost efficiency. Requires deep expertise in distributed storage, databases, or large-scale systems.

Develops and maintains enterprise automation solutions using Ansible, Python, Bash, and PowerShell. Builds REST APIs, Infrastructure as Code, CI/CD pipelines, automated testing, and integrations across Linux, Windows, and cloud platforms. Responsibilities include full lifecycle delivery, secure coding, Agile collaboration, documentation, production support, troubleshooting, and on-call participation. The role supports infrastructure self-service initiatives across the Federal Reserve System.

Develop and maintain athenaOne API integrations, including Salesforce connectivity, authentication, data mapping, webhooks, and error handling. Configure and administer athenaClinicals, monitor API changes, manage testing and rollouts, and troubleshoot synchronization issues. Evaluate AI and agentic tools that improve clinical workflows. Collaborate with clinical, operational, and athenahealth teams while maintaining technical documentation and supporting HIPAA-compliant healthcare data integrations.

Manage BizTech production operations, including ticket queues, incident response, on-call troubleshooting, observability dashboards, and service-health reporting. Build automation and self-healing workflows using Python, Go, JavaScript, TypeScript, Bash, infrastructure-as-code, CI/CD, and AI-assisted tools. Develop LLM-powered triage, diagnostics, runbooks, and root-cause analysis to reduce recurring tickets and improve mean time to resolution. Partner with global stakeholders and support enterprise systems, data pipelines, monitoring, and identity integrations.

Build and ship customer-focused software for Emma’s email marketing platform. Collaborate on planning, experimentation, code reviews, and scalable tooling development. Work across the full stack, with frontend technologies including React and backend systems using Python, Django, and AWS. Apply AI-assisted development tools responsibly while learning engineering best practices and expanding technical skills.

Build and maintain business automation workflows using n8n, APIs, Python or JavaScript, AI tools, and integrations. Analyze business processes, identify automation opportunities, test and monitor solutions, document workflows, train teams, and measure operational impact. Partner with People Operations, Credentialing, Clinical Operations, Data, Product, and Analytics while protecting sensitive information and following security and AI governance controls.