Top Remote Python Jobs in Houston, TX

Develop and maintain cloud-based, high-performance services in Rust. Collaborate with technical leads and architects, guide junior engineers, translate business requirements into solutions, and enhance applications for pricing, order management, trading, simulations, and monitoring while applying agile practices and automated delivery pipelines.

Design, automate, and maintain cloud platform infrastructure and release processes. Implement and monitor observability, networking, security/patching, and container orchestration (EKS/Istio). Use Terraform, GitLab CI/CD, shell scripting, and Python to build reliable, compliant AWS-based systems and collaborate in Agile teams.

Responsible for implementing and managing infrastructure as code (Terracore/Terraform), automating CI/CD with Jenkins, managing AWS services and Amazon EKS/Kubernetes, scripting in Bash/Python, implementing monitoring and security best practices, supporting production via on-call rotations, and collaborating with development and QA teams.

Principal Automation Engineer driving QE modernization for data and API initiatives. Design, build, and maintain automation frameworks for APIs, data pipelines, and reporting; implement data validation strategies; perform performance testing; integrate tests into CI/CD; coach squads on QE best practices; produce quality metrics and dashboards.

Lead design, automation, monitoring, and optimization of scalable, secure GCP infrastructure. Build CI/CD pipelines, manage incidents and security/compliance, support dev teams, script automation, and optimize costs.

Architect and lead design of scalable, secure solutions across backend, frontend, and data platforms. Lead Java (Spring Boot) APIs, Python data processing, big data (Spark/Hadoop), microservices, RESTful APIs, Angular front-ends, CI/CD, containerization, and cloud-native deployments. Provide architectural guidance, conduct code reviews, mentor engineers, and collaborate with product and DevOps teams to deliver production-ready systems.

Design, build, test, and maintain backend applications using FastAPI and SQLAlchemy. Implement database schemas, integrate front-end components, optimize for performance and scalability, debug issues, participate in code reviews, and collaborate on feature design. Maintain clean, testable code and stay current with best practices.

Design, build, and maintain GCP cloud infrastructure; lead on-premises to GCP migrations; implement and optimize Vertex AI solutions; manage change processes, monitoring, security, troubleshooting, and cross-team collaboration using Jira/Confluence.

Design, execute, and maintain manual and automated tests (functional, regression, performance). Report and track defects, perform API testing, collaborate with developers and product owners, and improve testing processes. Participate in test planning, documentation, and ensure adherence to SDLC and quality best practices.

Design, build, and maintain scalable backend services in Java and Python. Implement RESTful/GraphQL APIs, optimize SQL/NoSQL databases, develop microservices, enforce security (OAuth2/JWT), write unit/integration tests, optimize performance, and collaborate with frontend and DevOps teams in Agile processes.

Hands-on senior developer role building Rust-based cloud services. Design and implement scalable, low-latency systems for pricing, order management, trading, simulations, and monitoring. Mentor junior engineers, collaborate with architects, apply agile practices, and drive CI/CD, performance profiling, and automation.

Lead strategic design, implementation, and scaling of Palantir Foundry/Gotham data solutions. Oversee cross-functional teams, manage full project lifecycle, deliver data integration, governance, analytics, and ML capabilities, and engage stakeholders and clients to translate business needs into scalable Palantir-powered solutions.

Senior Java Big Data Developer to design and build Big Data applications on Cloudera/Hadoop using Java and Spark/MapReduce. Work with Hive, Impala, YARN, Kafka; perform data analysis, unit testing, and scripting. Lead/manage global technology teams and follow industry practices and standards.

Design, implement, administer, and optimize large-scale Hadoop clusters (HDFS, YARN, MapReduce). Monitor, secure, troubleshoot, automate provisioning, and implement backup/disaster recovery. Collaborate with data engineers/scientists, implement ETL/streaming pipelines, and document configurations and best practices.

Lead design, delivery and implementation of scalable production software across a complex, regulated environment. Drive DevOps/CI-CD, GitOps, containerization, Kubernetes and IaC adoption, improve incident/problem management and observability, coach teams, implement Agile, and manage senior stakeholders to ensure reliable, high-scale services.

Design, build, and maintain scalable backend services in Java (Spring) and Python (Django/FastAPI). Implement REST/GraphQL APIs, optimize SQL and NoSQL databases, develop microservices, ensure security (OAuth2/JWT), write tests, improve performance, and collaborate with frontend and DevOps teams in Agile processes.

Develop, design, and deliver complex Python backend applications for acquiring, storing, and computing on large volumes of data. Lead feature implementation, ensure code quality via linting and automated tests, mentor junior developers, perform code reviews, collaborate with cross-functional teams, and troubleshoot production issues.

Lead design and implementation of GCP architectures, build cloud foundation, migrate on-premises infrastructure to GCP, and implement Vertex AI solutions. Provide technical leadership, mentor engineers, ensure security/compliance, optimize performance and cost, and troubleshoot complex GCP infrastructure issues while collaborating with cross-functional teams.

Develop Python microservices and APIs using FastAPI. Implement data validation with Pydantic and enforce linting (flake8). Integrate pyMongo with MongoDB collections, connect services to GraphQL endpoints and graph databases, and configure and maintain Neo4j database instances.

Lead design and maintenance of test automation frameworks for microservices. Author API, contract (Pact), integration, end-to-end, and performance tests. Integrate tests into CI/CD, define quality metrics, mentor junior QA, and collaborate with architects and developers to ensure reliability, scalability, and observability.

Lead QA for API testing: design and execute RESTful API test cases (payment initiation/status), develop and maintain Pytest automation in Python, use Postman and Git, integrate tests into CI/CD, document results, identify and track defects, and collaborate with development and product teams to resolve issues.

Lead and develop JavaScript/TypeScript-based automated test frameworks and scripts using Playwright/Cypress; build API and end-to-end automation, maintain frameworks, and apply BDD (Cucumber) for QA delivery.

Design and implement GCP architectures, lead cloud foundation builds and on-premises to GCP migrations, implement Vertex AI solutions, mentor engineers, ensure security/compliance, troubleshoot infrastructure, and collaborate with stakeholders to translate business needs into scalable cloud solutions.

Lead design and management of SDLC processes on GCP. Build and maintain CI/CD pipelines, develop IaC for reproducible environments, work with dev/ops/QA teams, monitor and optimize live services, and support reliability and deployment automation.

Design, implement, and maintain AWS cloud infrastructure; build CI/CD pipelines; implement IaC and container orchestration; monitor and secure systems; automate deployments; collaborate with developers; document architecture and procedures.