Top Remote Python Jobs in Houston, TX

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions, develop end-to-end data pipelines and applications, integrate machine learning models, and guide enterprise customers through implementation and adoption. Collaborate with engineering, product, support, project managers, and customer stakeholders while delivering projects, documenting solutions, resolving issues, and creating reusable frameworks. Travel to customers approximately 20% of the time.

Design and implement the core components of the Agents Python framework, focusing on API and abstraction development for AI-driven applications.

Build and operate internal IT systems across identity, endpoints, Google Workspace, Slack, SaaS governance, and automation. Own Okta access engineering, Workspace ONE macOS fleet management, lifecycle workflows, compliance controls, audit evidence, and technical escalations. Partner with Security, Engineering, People, and Finance to improve security, reliability, and scalability while reducing manual IT support through automation.

Design and develop functionalities for the Agents framework, iterate on feedback, and create documentation while working with various programming languages.

Own identity and access engineering in Okta, macOS endpoint management in Workspace ONE, Google Workspace and Slack administration, SaaS governance, and IT automation. Build onboarding, deprovisioning, access reporting, device compliance, and audit-evidence workflows. Serve as a technical escalation point for identity, endpoint, access, and internal infrastructure issues while translating security and compliance requirements into durable IT controls.

Build high-fidelity wireless network models in Spacetime, develop Python or Go adapter layers, create Protobuf/JSON/gRPC data schemas, perform link-budget and propagation analyses, and support live customer networks as a tier-three escalation lead. Collaborate with product and software engineering teams to convert custom integrations into reusable features. The role requires software engineering fundamentals, physical-layer communications knowledge, system modeling experience, and at least three years of engineering experience.

Leads the Engineering organization across two remote teams, directly managing, coaching, and developing engineers. Partners with Product to drive timely, high-quality delivery; staffs initiatives, develops technical leads, resolves cross-team risks, supports hiring, and contributes to architecture, technical debt, and scaling decisions. The role oversees execution, engineering process, quality, and team engagement while guiding a high-scale SaaS platform built with TypeScript, Python, Django, React, AWS, Postgres, and Redis.

Own backend and AI infrastructure for autonomous trading agents. Build the Go-based agent runtime, execution and data layers, real-time trading systems, deployment platform, model hosting migration, telemetry, CI/CD, monitoring, and incident response. Develop production services primarily in Go, Python, and TypeScript while operating AWS EKS infrastructure. The role requires end-to-end ownership of reliable, low-latency systems managing real-time trading and financially sensitive positions.

Lead architecture and implementation of reliability platforms and SRE practices for a production SaaS. Build self-service reliability tooling, drive AIOps automation, advance observability (monitoring, tracing, profiling), lead incident response and postmortems, mentor engineers, and embed production readiness across teams to achieve 99.99% uptime.

Manage AWS cloud infrastructure, CI/CD pipelines, Terraform-based infrastructure, containers, monitoring, and operational automation. Administer Microsoft 365, Entra ID, Intune, Windows, and macOS devices. Support onboarding, offboarding, remote technical issues, identity and access management, IT assets, documentation, security standards, and incident troubleshooting while collaborating with engineering, security, operations, and vendors.

Designs, implements, secures, and supports hybrid enterprise networks across Azure, AWS, on-premises data centers, offices, and remote locations. Responsibilities include cloud connectivity, routing, switching, firewalls, VPNs, monitoring, troubleshooting, Zero Trust controls, high availability, disaster recovery, and Infrastructure as Code automation. The engineer leads migration and modernization initiatives, coordinates with vendors, supports office deployments, documents network environments, participates in on-call support, and mentors junior staff.

Leads and develops software engineers through mentorship, feedback, hiring, and career growth. Partners with product and design to deliver secure, scalable, reliable features; guides architecture and engineering best practices; improves processes, velocity, and execution; and translates customer and business needs into technical roadmaps. The role requires hands-on leadership in a high-growth startup environment and ownership of engineering culture, performance, reliability, and talent development.

Develop data integration, health information exchange, and IRIS application solutions for healthcare and other clients. Responsibilities include designing robust distributed applications, defining project specifications, selecting implementation strategies, collaborating directly with clients, and contributing to large-scale InterSystems IRIS and HealthShare implementations. Strong communication and software development skills are essential, with healthcare IT and healthcare data integration expertise highly valued.

Own and improve production infrastructure reliability, deployments, Infrastructure-as-Code, Kubernetes environments, automation, CI/CD, monitoring, alerting, and observability. Investigate incidents, optimize system performance, maintain documentation and runbooks, and support DNS, WAF, CDN, and caching infrastructure. The role requires strong Linux administration, Bash scripting, networking, Git, and containerization skills, with independent ownership and collaboration across development and operations teams.

Build and scale a growth data platform: design queues and workers for enrichment, routing, assignment, and activation; integrate CRM, ads, intent, and enrichment vendors; convert experiments into reusable platform primitives; and debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream systems.

The Staff Research Engineer - Code will lead the creation of datasets and reinforcement learning environments for coding agents, collaborating with AI labs to influence model improvements and operational excellence, while managing a technical team.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

Design and build the control plane for Postgres clusters, ensure data protection, automate database operations, and collaborate with customers to enhance the platform.

As a Robotics Engineer, you'll operate and test robot platforms, integrate sensors, manage data pipelines, and debug issues to improve model evaluation.

Individual contributor responsible for design, simulation, and validation of control algorithms and systems for digital coherent optical transceiver modules. Evaluate PICs, optics, control electronics, and high-speed electronics to ensure reliability, manufacturability, and product requirements for multi-terabit optical systems.

Design, build, and maintain automated test frameworks for UI, API, and integration testing; integrate tests into CI/CD; perform performance/load testing; collaborate with engineers to prevent defects; define quality metrics; review code; and mentor junior engineers to drive automation-first quality practices.

The Lead Engineer for BI will design data solutions, lead project teams, mentor, and drive BI strategy aligning with business needs.

The Anti-Bot Engineer will research and implement evasion techniques against sophisticated anti-bot systems, debug TLS fingerprinting, and analyze browser behavior to optimize scraping methods.

Design, build, and maintain scalable web applications using Python and React. Collaborate with teams and ensure application security and performance.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.