Top Remote Python Jobs in Houston, TX

Lead a backend engineering team responsible for Benepass Core Services, including ledger, decisioning, authentication, integrations, and money movement systems. Manage and develop 4–6 engineers, oversee hiring and performance, guide project execution, and maintain delivery accountability. Provide technical leadership through design reviews, prototyping, debugging, and operational incident management. Partner cross-functionally, uphold reliability and correctness standards, and model effective daily use of AI in engineering and management workflows.

Build and operate Conduit’s control plane services for provisioning, updating, repairing, and retiring customer infrastructure. Design reconciliation-based lifecycle systems, schema-driven APIs, usage metering, internal tooling, and integrations with billing and partner systems. Own contracts, versioning, reliability, asynchronous workflows, and cross-functional coordination. Participate in on-call support while improving platform maintainability and automation.

Engineering Manager leading a 4–6 person backend team responsible for core fintech services, including ledgers, decisioning, integrations, authentication, and directories. The role combines people management, hiring, coaching, execution ownership, technical design reviews, production debugging, reliability, and delivery accountability. The manager must remain technically credible in Python/Django systems, uphold high-integrity engineering standards, and use AI extensively for coding, planning, debugging, communication, and team effectiveness.

Leads and mentors an engineering team building scalable web applications for fintech and media products. Responsibilities include setting technical architecture, guiding engineering decisions, partnering with product and design stakeholders, maintaining modern web applications, improving reliability and performance, supporting delivery planning, and adopting AI-assisted development and automation. The role combines hands-on software engineering, people management, technical strategy, and cross-functional collaboration.

Administer and optimize Azure Databricks environments across development, staging, and production. Manage workspaces, clusters, jobs, SQL warehouses, Unity Catalog, permissions, identity integrations, security controls, monitoring, troubleshooting, disaster recovery, and cost efficiency. Partner with data engineering, cybersecurity, compliance, and governance teams to maintain reliable, secure, auditable, and well-documented data analytics infrastructure in a regulated financial services environment.

Build and operate Conduit's control plane services for provisioning, updating, repairing, and retiring customer infrastructure. Design schema-driven lifecycle systems, usage metering, APIs, contracts, internal tooling, and integrations with billing and partner systems. Ensure reliability through reconciliation, event-driven workflows, idempotency, retries, and eventual consistency. Own cross-team interfaces, improve maintainability, participate in on-call, and debug complex production issues across networking, performance, data integrity, and security boundaries.

Own and operate a globally distributed VPN network, AWS control plane, backend infrastructure, and infrastructure-as-code tooling. Improve reliability, security, automation, observability, CI/CD, deployment safety, and cost efficiency across multiple providers. Troubleshoot production incidents, participate in 24/7 on-call, manage networking and VPN technologies, and replace manual operational processes with tested automation. Partner with engineering and product teams while ensuring high uptime, connection success, performance, and compliance.

Leads complex healthcare IT implementations for Intelerad’s InteleShare platform. Designs and deploys HL7/DICOM integrations, configures and validates enterprise systems, resolves advanced application and infrastructure issues, supports go-lives, delivers end-user training, and documents workflows and architecture changes. Partners with project managers, clients, and vendors to meet integration milestones. Also supports custom reports, SQL queries, migrations, workflow improvements, and post-implementation reviews. Travel up to 10% may be required.

Own production reliability across cloud environments by defining SLOs, SLIs, error budgets, observability practices, and actionable dashboards. Troubleshoot incidents, perform root cause analysis, manage capacity planning, and improve service performance and availability. Build automation to reduce toil, support release management, maintain runbooks, and collaborate with engineering teams on operational readiness. Manage tools including Datadog, Prometheus, and Grafana while advancing monitoring, logging, metrics, tracing, and reliability practices.

Leads large-scale cluster deployment from rack delivery through production acceptance, including network bring-up, cabling verification, GPU-fabric integration, validation, burn-in, and RCCL performance testing. Manages deployment engineers across concurrent builds, improves deployment velocity, establishes operational playbooks and acceptance gates, coordinates with data center teams and vendors, and drives defect resolution across network, cabling, and hardware partners.

Analyze Linux system performance, design and implement performance enhancements, productize new servers and hardware, extend performance metrics and visualizations, and build diagnostic tooling. The role requires advanced C programming, Linux kernel expertise, virtualization knowledge, hardware enablement and debugging experience, performance analysis skills, and understanding of computer architecture, concurrency, algorithms, and hardware interconnects.

Lead a multi-team engineering organization responsible for delivery, technical quality, production reliability, security, privacy, and AI-native development practices. Build scalable teams and managers, establish cross-team delivery systems, partner with Product and Design, oversee observability and incident response, use engineering metrics to guide improvements, and shape hiring, leveling, and talent development.

Designs and operates secure, scalable Azure cloud infrastructure supporting AI initiatives. Builds Infrastructure as Code, CI/CD pipelines, self-service provisioning, containerized environments, observability, monitoring, and reliability practices. Establishes platform standards, evaluates emerging technologies, drives cross-team architecture decisions, mentors engineers, and ensures governance, security, compliance, data quality, and auditability. The role is fully remote with up to 10% travel.

Lead an engineering team building endpoint configuration management capabilities, including policies, baselines, drift detection, remediation, staged rollouts, reporting, and audit trails. Provide technical direction, manage delivery and capacity, guide architecture, coordinate with product and core engineering teams, and operate automated build, test, validation, and deployment pipelines. The role requires expertise in Node.js, JavaScript, TypeScript, Python, AWS, endpoint management, desired-state systems, intermittent connectivity, and safe configuration changes.

Build and maintain secure, full-stack cybersecurity and compliance applications for cloud and on-premise environments. Develop APIs, integrations, data ingestion and normalization, risk analytics, relationship models, role-based access, CI/CD pipelines, and containerized deployments. Support post-quantum cryptography and compliance workflows while troubleshooting production issues and applying DevSecOps practices. Collaborate across engineering, cloud, cybersecurity, and compliance teams in a highly regulated, ambiguous product environment.

Design, implement, and maintain MEMX’s low-latency trading network infrastructure. Configure network devices using Ansible and Python, monitor alerts, resolve incidents, perform root-cause analysis, and support customer connectivity turn-ups and tickets. Analyze and validate new products, implement secure end-user solutions with security teams, and coordinate with data center and circuit providers. The role requires expertise in distributed systems, routing protocols, multicast, network operating systems, timing protocols, packet analysis, firewalls, and optical networking.

Own Airbnb’s Workday integration architecture, technical strategy, and production reliability across global HR, payroll, benefits, and employee systems. Build complex Workday integrations, payroll interfaces, Extend applications, and AI-enabled MCP tooling. Establish security, observability, governance, deployment, and compliance standards while managing release cycles and technical debt. Serve as the technical authority, mentor engineers, lead architectural decisions, and partner with HR, security, privacy, finance, enterprise architecture, and vendors.

Develop and prototype 5G network solutions, automate and improve software development tools and environments, and help design, build, and maintain development verification labs. The role requires programming across Python, JavaScript, Bash, C/C++, and Go, along with Git, Linux, debugging, and Agile/Scrum knowledge. Work supports Nokia’s satellite-based LTE and 5G networking products.

Develop and maintain secure, highly available public and private cloud infrastructure using automation, Infrastructure as Code, Kubernetes, Puppet, and deployment pipelines. Responsibilities include cloud architecture, IAM, networking, scripting, containerization, monitoring, troubleshooting, disaster recovery, security collaboration, and on-call support. The role also mentors engineers, researches emerging technologies, and partners with DevOps and Basis teams to support cloud-based applications.

Lead and grow a backend and full-stack engineering team responsible for Tradeify’s live trading platform. Partner with Product and Engineering teams on platform integrations, architecture, delivery, code quality, CI/CD, reliability, observability, and incident response. Remain hands-on through code reviews, design guidance, and technical problem solving while managing performance, hiring, onboarding, and cross-functional communication.

Lead the engineering team building Arcnine, Tradeify’s real-time trading platform from development through launch. Hire and develop engineers, guide architecture, partner with Product and Design, remain hands-on with code, establish quality and delivery practices, and own reliability, observability, and incident response. The role also contributes to company-wide engineering standards and communicates progress, risks, and needs to founders and cross-functional stakeholders.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.

Own the direction and execution of critical AI development products. Build AI-assisted annotation tools, data exploration and visualization interfaces, RLHF workflow products, large-scale data processing systems, and tools for communicating complex instructions. Make autonomous technical and product decisions, lead ambiguous projects, ship rapidly, and collaborate with engineering and research leaders to support AI training and evaluation.

Build scalable data pipelines, automation workflows, internal tools, and AI-powered quality-control systems. Lead data collection projects for frontier AI labs, establish quality frameworks, improve customer support processes, and manage cross-functional execution. Collaborate with technical and non-technical stakeholders to solve ambiguous operational challenges and deliver datasets and systems that improve advanced AI models.

Design and build core fullstack systems powering Surge’s AI platform. Own frontend product decisions, backend architecture, and high-impact workflows for data collection, labeling, and evaluation. Ship scalable, reliable, intuitive tools while making autonomous technical decisions, collaborating with engineering and machine learning leaders, and maintaining high standards for usability, performance, and maintainability.