Top Remote Python Jobs in Houston, TX

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Migrate and operate customer experience applications on Google Cloud. Perform lift-and-shift to GCP, deploy and validate releases, manage containerized microservices (GKE/Docker/Terraform), query and configure apps, use Jenkins/git for pre-staging, and troubleshoot Linux/Unix systems with scripting.

Design, develop, and administer databases and web applications for IVR and call center software. Build cloud-based integrations, write and maintain SQL, and participate in call center analytics system development and integration.

Lead architecture and implementation of enterprise AWS and Kubernetes (EKS) environments, drive cloud migrations and IaC, build GitOps/CI-CD pipelines (ArgoCD, GitLab CI), implement observability and security/compliance (HIPAA, SOC2, SOX), mentor engineers, lead PoCs, and manage incident response and on-call for critical cloud infrastructure.

The Associate Staff Engineer will lead automation testing efforts utilizing various tools and frameworks while mentoring teammates and implementing agile practices.

Nagarro seeks an Associate Principal Engineer with extensive IT experience in Python to drive strategic value and innovation in product engineering.

Own product problems end-to-end: gather requirements, build full‑stack features using AI, verify production quality, monitor and support services, and iterate to improve outcomes.

The Forward Deployed Engineer will engage with clients, prototype solutions, deploy machine learning models, and collaborate across teams to address national security challenges. Requires technical expertise in software engineering and strong communication skills.

The Senior Azure Engineer designs and supports Azure solutions, manages infrastructure-as-code, ensures compliance, and optimizes performance while collaborating with multiple teams.

The Senior Software Engineer will architect and optimize AI-powered developer tools, enhance the SDLC, collaborate across teams, and mentor peers to improve engineering productivity.

Lead design, implementation, and operation of production-quality DevOps platforms and automated test infrastructure for heterogeneous edge hardware. Improve CI/CD, build/release, deployment automation, developer tooling, and platform reliability. Enable reproducible tests, diagnose failures across devices, partner with engineering and QA, and drive major infrastructure initiatives from ambiguity to production.

Design, build, and maintain secure, scalable data pipelines and ML data workflows to support IRS fraud detection and compliance analytics. Collaborate with data scientists and stakeholders, troubleshoot production issues, produce documentation and briefings, and operate in restricted government environments.

The Workato Integration Architect will design and implement integrations using Workato, lead development of recipes and connectors, and collaborate with teams to define and optimize integration strategies.

Own and modernize billing systems: define plans, pricing, entitlements, usage metering, and billing APIs. Decompose monoliths into independently deployable services, ensure end-to-end correctness (reconciliation, idempotency), operate SLOs/alerting, and run on-call. Integrate with billing, CRM, and finance systems.

Design, implement, and maintain cloud infrastructure in compliance with IL5 and FedRAMP High standards, focusing on automation, security, and collaboration with security and compliance teams.

Design and develop Presidio's internal Managed Services platform and automations. Provide technical guidance and mentoring, identify automation opportunities, perform proofs of concept and pilots, collaborate on production security improvements, author technical documentation, and engage with stakeholders to capture requirements and operationalize solutions.

Lead exploration and development of novel EO/IR payload concepts, build simulations and radiometric models, define system requirements, perform feasibility and trade studies, support R&D proposals and demonstrations, and collaborate across product, applied science, mission systems, and business development to translate early-stage ideas into technical architectures and customer-facing capabilities.

Design, implement, and maintain custom test frameworks for Illumina's primary analysis software. Create and expand automated tests, troubleshoot CI/CD pipelines, investigate failures, collaborate with developers to diagnose root causes, and ensure tests are reproducible, documented, and maintainable as analysis capabilities evolve.

Lead end-to-end feature development across frontend and backend for an enterprise data analytics platform. Design, implement, and maintain React UIs, backend services, APIs, databases, and distributed systems. Collaborate with Product, UX, and Engineering, mentor engineers, improve quality through testing/CI, and introduce new technologies including AI-assisted development.

Develop automated production-level test solutions and functional test software for photonic integrated circuits and optical modules. Monitor production data, troubleshoot test stations, perform GRR, support manufacturing partners with failure analysis, and transition R&D tests to high-volume manufacturing while interfacing with cross-functional teams.

Lead EPIC SoC architecture from MRD to PRD, owning digital and high-speed I/O (SerDes, UCIe/PCIe/Ethernet). Integrate analog, photonics, memory, and packaging inputs, drive PPA trade-offs, vendor IP selection, modeling, and cross-functional alignment through product sign-off.

Own and operate the AI-native platform runtime including Kubernetes (GKE), Terraform, GCP, CI/CD, observability, orchestration (Temporal, Kong). Improve reliability, performance, cost, multi-tenant provisioning, developer experience, and lead on-call and incident response.

Lead design, build, and operation of AI-powered product features across backend, frontend, and AI systems. Make architecture decisions, drive production deployments, improve code quality and reliability, mentor engineers, and own features end-to-end.

Design, operate, and evolve CI/CD and delivery infrastructure for ~400 engineers. Build developer-facing tooling, champion progressive delivery (canaries, automated rollbacks), own end-to-end delivery from merge to production, improve pipeline reliability and speed, evolve the Internal Developer Portal, and embed AI-assisted workflows into the software development lifecycle.