Top Remote Python Jobs in Houston, TX

Join Aleph's engineering team to develop the Core Product, focusing on user-facing features for financial data insights. Collaborate with leadership, design robust software components, and contribute to system architecture in a fast-paced, remote environment.

Lead the technical vision for complex systems, drive architectural strategies, write production-ready code, and align teams for public sector compliance.

The Prototype Engineer will integrate AI/ML capabilities into Higharc's products, develop tools for autonomous agents, and collaborate with research and product teams. Responsibilities include pushing prototypes to production and understanding homebuilding complexities.

As a Senior Solutions Architect, you will engage with customers, develop strategies with Account Executives, and coach junior staff while promoting the Databricks platform through technical engagements and community involvement.

As a Software & Data Engineer, you will design data pipelines, deploy AI tools, build data warehouses, and integrate systems for clients, ensuring data quality and performance.

You will manage AWS infrastructure, automate deployments, debug application issues, and improve the operational health of Metabase Cloud.

Design, build, operate, and evolve backend services and runtime infrastructure for cloud orchestration and job execution. Own distributed, asynchronous systems, APIs, workers, persistence, and service-to-service coordination. Improve reliability, observability, testing, and operational tooling; lead cross-team designs and mentor engineers.

Design, deploy, automate, and support Cloudera Data Platform clusters and Hadoop ecosystem services. Build Ansible automation and CI/CD for provisioning, configuration, patching, monitoring, security integrations (Kerberos/LDAP/TLS), capacity planning, disaster recovery, and on-call operations to support data ingestion, processing, and analytics workloads.

Design, implement, test, and maintain low-level embedded firmware for ARM Cortex-M systems. Debug hardware/software issues using lab equipment, develop Python host tools, support hardware bring-up, CI/CD and automated testing, resolve manufacturing and field issues, and participate in architecture, code reviews, and documentation.

Join a remote Strategic Projects engineering team to turn AI-native prototypes into production-grade services. You will harden demos (LLM gateways, proxies, sandboxes), implement observability, error handling, and security practices, work with reference customers on integrations, and ensure agent-generated code meets production review and operational standards.

Design and lead adoption workshops, diagnose and resolve technical adoption blockers (integration, platform), create reusable best-practice resources, partner with product teams on VoC, and monitor ARR and consumption metrics to refine adoption strategies for container and CI/CD-based application platforms.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Operate and harden Blitzy's self-hosted, Kubernetes-based AI platform inside customer-controlled secure cloud environments. Own deployments, upgrades, capacity planning, observability, incident response, and customer-facing technical coordination while championing security and feeding operational learnings back into the product roadmap.

Build full-stack features for AI voice and chat products using TypeScript, Node.js, React, and Python. Integrate ASR/TTS and LLM improvements, optimize production systems for latency and cost, participate in on-call rotations, and collaborate with ML and product teams to scale enterprise AI conversations.

Lead the migration from legacy Azure services to a Kubernetes-based, containerized microservices platform. Design, build, and scale infrastructure, implement observability (monitoring/alerting/logging), drive incident response and SLOs, automate with IaC and CI/CD, optimize cost and networking, mentor teams, and document systems to ensure reliable, scalable healthcare platform operations.

Develop high-fidelity RGB and LWIR camera models and synthetic-data pipelines in Unreal Engine, stream sensor outputs to ROS 2, implement noise/artifacts and target injection, manage 3D asset pipelines, and optimize headless/real-time simulation for perception and Target State Estimation testing and CI/CD integration.

Own and harden on-board networking and Linux platform for autonomous vehicles: design fault-tolerant internal networks, implement PTP/gPTP time synchronization, tune Linux networking (NIC buffers, offloads, NAPI), build connectivity daemons (Go/Python) for multi-carrier cellular bonding, integrate networking with embedded Linux on x86_64 and ARM64, and build observability for fleet connectivity.

Design, develop, and deploy Python- and Java-based scalable REST APIs for a multi-tenant web platform. Collaborate with product, data science, and clinical partners, and ensure software quality, security, and engineering best practices.

Lead AWS-based SRE activities for products migrated from on-prem: ensure reliability, observability, automation, CI/CD (GitOps), Kubernetes/EKS operations, Terraform IAC, database/RDS administration, networking and security, and collaborate with development and platform teams to optimize SaaS operations.

Design, build, and optimize AWS/Kubernetes infrastructure and CI/CD pipelines; troubleshoot production incidents; lead end-to-end infrastructure projects; establish deployment standards and operational procedures; mentor engineers; monitor observability, security, and access controls to reduce risk and improve developer productivity.

Develop and execute test plans for SiGe ASICs and high-speed mixed-signal devices. Perform RF/mm-wave probing and characterization, troubleshoot electrical/RF/thermal/software issues, compare measurements with simulations, build bench hardware/software for characterization, qualify test stations (Gage R&R, SPC), document test solutions, and coordinate cross-functional test development schedules.

Lead platforms engineering for scalable cloud infrastructure: design and implement Kubernetes-based systems, optimize data pipelines with AI, refactor stateful services to be stateless, improve autoscaling and reliability, own data ingestion/export, build internal developer tools, enforce security and testing standards, mentor engineers, and participate in on-call rotations.

Build and own the GTM tech stack and integrations, create demo environments seeded with realistic data, embed AI agents into sales workflows, stand up revenue data infrastructure (pipeline, forecasting, attribution), and automate customer service flows. Partner closely with Sales, Marketing, Customer Success, and Product Engineering to measure adoption and impact.

Lead design and delivery of scalable, cloud-native healthcare systems and real-time data pipelines. Architect event-driven, batch/stream hybrid solutions, integrate clinical data standards, optimize performance and costs, mentor engineers, and collaborate with product and stakeholders to deploy resilient, compliant services.

Design and lead large-scale AWS migrations (rehost/replatform), architect cloud infrastructure and platforms, automate migrations with IaC and scripting, troubleshoot OS/database issues, and implement hybrid networking and security best practices.