Top Remote Python Jobs in Houston, TX

Own and evolve ClickHouse's Python connector and SDKs; build and maintain integrations with orchestration and transformation tools; design AI/LLM integration patterns (RAG, embeddings, feature stores); engage with open-source community; collaborate with Product and Cloud teams to prioritize and ship production-grade data integrations.

Lead a 6–8 engineer team building an SSH client, web app, and backend services for an agentic AI platform. Own architecture, hiring, process, roadmap partnership with product, incident response, and mentorship while remaining ~20% hands-on.

The Senior Software Engineer will build scalable backend systems, design APIs, and integrate ML models, enhancing Yahoo's search functionality.

Design and develop scalable software solutions, lead engineering workstreams, ensure code quality, mentor junior developers, and collaborate on technical strategies to enhance digital experiences for BECU members.

Define and enforce governance and standards for multi-cloud platforms (AWS, Azure, GCP, OCI, Snowflake). Build platform features, implement infrastructure as code, support application teams, ensure reliability/security/cost-efficiency, automate deployments, and manage servers, storage, networking, backup and disaster recovery.

As a Senior Platform Engineer, you will manage Azure Government deployments, enhance infrastructure as code, implement CI/CD, and mentor engineers.

Support ExaCC build/deployment using IaC patterns, plan and execute Oracle database and app migrations to ExaCC/OCI, develop runbooks/cutover/rollback and operational readiness, tune and validate performance/backup/recovery, and coordinate landing-zone and network dependencies with OCI architects and CMS teams while meeting CMS security requirements.

Lead build, integration, and optimization of full-chip and system-level ASIC emulation platforms. Enable HW/SW co‑development, debug emulation failures, automate compile/regression flows, support silicon bring-up, and collaborate with RTL, DV, firmware, physical design, and validation teams to accelerate verification and system validation.

Lead reliability and performance efforts for distributed metadata systems: tune and optimize systems, develop monitoring and automation, manage rollouts, troubleshoot incidents, run simulations and analytics, and support database/configuration management to improve global network stability and capacity.

Build and scale developer platform and AI-powered tooling to improve developer velocity, CI/CD observability, and Kubernetes reliability. Implement agentic coding/review workflows using LLMs, create self-service templates and automation, contribute to incident playbooks, and drive adoption via docs and enablement.

Lead reliability, scalability, and observability for high-density AI hardware infrastructure. Build Python automation and IaC, design telemetry and Prometheus/Grafana dashboards, implement AI-assisted tooling and anomaly detection, manage 24x7 on-call incident response, and coordinate vendor field operations to ensure uptime.

Design and maintain Terraform and OCI Resource Manager IaC for standardized tenant onboarding. Automate landing zones, identity, network baselines, governance, and security guardrails. Build CI/CD pipelines, reusable templates (DNS, VCN, Cloud Guard, logging, IAM policies, tagging), enforce policy-as-code, and accelerate tenant provisioning.

Provide Splunk SME support within an RPA Center of Excellence: design and configure Splunk solutions, create dashboards and searches to isolate actionable events, analyze logs and indexes, customize monitoring templates, and train product owners and teams on Splunk usage to support operations.

Architect, deploy, and manage scalable cloud infrastructure across major providers; build automation, CI/CD pipelines and containerized deployments (Kubernetes/GCP); implement monitoring and security best practices; support data services and data engineering needs; document configurations and mentor team members.

Design, build, and operate cloud-native, automated infrastructure and integrations across AWS and GCP. Implement IaC, CI/CD, GitOps, Kubernetes platforms, observability, and APIs; automate workflows and support platform engineering initiatives while collaborating with stakeholders using Agile practices.

Work on frontend, backend, full-stack, or data/platform engineering to design, build, and operate high-scale systems and AI-enabled user experiences. Responsibilities include building distributed backends, data pipelines, performant UIs, integrating AI features, owning projects end-to-end, and collaborating cross-functionally to deliver production-quality software.

Maintain and enhance Azure cloud infrastructure to ensure 99.9% availability, optimize costs through automation, ensure scalability and performance, and maintain compliance with security standards (e.g., ISO 27001). Collaborate with dev and ops teams and support cloud-service CSAT goals.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Pair with engineers to embed agentic practices, own systems end-to-end, participate in AI-augmented reviews, and judge agent use versus human intervention.

Senior Java engineer delivering AI-augmented production features and modernizations across a Java/Python/AWS stack. Own systems end-to-end, pair with engineers to transfer agentic practices, perform AI-augmented code reviews, and judge when to trust or intervene with agent outputs.

Design, build, and maintain scalable ETL/ELT data pipelines and backend services. Implement data validation, monitoring, performance optimizations, CI/CD, and operational support while partnering with product and business stakeholders.

Deliver production features and AI-powered modernizations using agentic development. Build and operate multi-agent workflows, pair with engineers to transfer agentic practices, validate agent output, maintain software quality, meet sprint commitments, reduce backlog, and produce scalable, well-documented code.

Perform technical code review and analysis to determine originality and function, prepare memos and expert reports, rebut other experts, communicate with counsel and clients, prepare testifying experts, manage multiple engagements, and supervise junior staff.

Build and automate internal tools and services to operate Qdrant Cloud at scale. Develop platform components in Go and Python, improve Kubernetes automation, provisioning, reliability, scalability, and observability. Collaborate on architecture, participate in incident response, and reduce manual operational toil through automation.

Design, build, and maintain web application infrastructure and data systems for interactive information experiences. Lead application architecture, code quality, performance, and reliability; integrate generative AI and prototype XR interfaces; collaborate with designers and data scientists; ensure security, accessibility, scalability, and document technical standards.

Lead architecture, deployment, security, and governance of multi-cloud (M365, Google Workspace, GCP) environments, including GCC High. Drive migrations, automate workflows with PowerShell/Python/Apps Script/GAM/REST APIs, provide Tier 3 support, and produce documentation and SOPs while ensuring compliance with government security standards.