Top Python Jobs in Houston, TX

Develop and test systems software for HPE ProLiant servers, supporting OEM and service-provider customers. Responsibilities include debugging software issues, creating test plans and automation, testing beta servers, validating Linux compatibility in UEFI and Secure Boot modes, and collaborating with development teams, vendors, and product management on customer-requested features. The role also provides design recommendations for future server products and manages test execution and reporting.

Build and maintain end-to-end product features across frontend, backend, and databases. Design APIs, authentication, data models, integrations, and AI-assisted workflows. Ship production-ready SaaS components, debug across the stack, improve reliability and performance, and collaborate on product and architecture decisions in an early-stage startup.

Design, develop, debug, document, and maintain software for drilling equipment and applications. Support software implementation, training, troubleshooting, and release activities. Diagnose related hardware issues, collaborate with internal and external customers to understand requirements, and participate in design reviews. The role requires teamwork, communication, analytical ability, and proficiency in at least one listed programming language or PLC software.

Entry-level software engineering role in NOV’s one-year Pathway Rotational Program. Responsibilities include designing and debugging software for drilling equipment and applications, maintaining documentation, supporting implementation and training, troubleshooting software and hardware, gathering requirements, working with customers, and participating in design reviews. Candidates should be graduating in May 2027 or have graduated within the past two years in a relevant engineering or computer science discipline.

Develop and maintain Java-based product features for a real-time, scalable SaaS platform. Responsibilities include fixing bugs, deploying and upgrading products in Azure customer environments, monitoring and troubleshooting deployments, improving alerting, automating repetitive tasks, and investigating operational issues. Collaborate with developers, DevOps, support, and infrastructure teams, occasionally assisting end users with troubleshooting.

Summer 2027 intern supporting application development, AI-assisted engineering, REST API and data integration, automated testing, CI/CD, DevOps, and Agile software delivery. The role involves building and enhancing internal applications with React, Node.js, and Python while participating in code reviews, troubleshooting, documentation, and controlled deployments. Interns receive practical experience working with enterprise data platforms and production-quality software engineering practices.

Design, develop, test, and maintain custom PTC Creo Toolkit (C/C++) applications and Windchill integrations. Create automated CAD workflows, custom UIs, and tools to manage CAD data, metadata, configurations, and lifecycle processes. Support MBD/digital engineering initiatives, troubleshoot complex Creo/Windchill issues, participate in architecture and code reviews, and produce technical documentation and deployment procedures.

Lead full‑stack development of scalable, secure services and UI using Java, Python, and React. Build AI/agentic capabilities with Smart SDK, design data/search solutions (PostgreSQL, OpenSearch), drive cloud-native engineering on AWS with Terraform, improve SDLC via AI-assisted tooling, mentor engineers, and deliver operational reliability.

Lead an agile engineering team to design, develop, and operate secure, scalable applications. Provide technical guidance, write and review production code, drive AI-assisted engineering adoption, influence product design, and promote firmwide SDLC practices using cloud-native, microservices, and Big Data technologies.

Lead technical design and delivery of cloud-native, resilient, and secure infrastructure for the Athena platform. Drive architecture, automation, IaC (Terraform), Kubernetes adoption, CI/CD, operational stability, and team best practices including responsible use of AI-assisted engineering tools.

Designs, implements, and optimizes infrastructure and deployments to improve application availability, reliability, and scalability. Implements IaC and network-as-code, builds CI/CD pipelines, and enhances observability (monitoring, telemetry, SLOs). Collaborates cross-functionally, uses enterprise-authorized AI to accelerate incident triage and analysis, and drives iterative reliability improvements.

Assist with custom application development, maintenance, and support for Information Services. The role focuses on data engineering, data modeling, ETL/ELT, Snowflake development and optimization, AWS cloud environments, semantic and ontology modeling, governed data products, and stakeholder collaboration to define data entities, metrics, relationships, and requirements.

Lead engineering and deliver secure, scalable data and LLM-based systems for a Global KYC and Risk Assessment Data Platform. Define architecture, engineering standards, AI/LLM governance, and drive adoption of AI-assisted development practices while mentoring teams and ensuring operational stability and observability.

Build and maintain scalable full-stack web applications using .NET, React, Next.js, and Azure. Responsibilities include feature delivery, API and microservices development, testing, code reviews, architecture, performance optimization, security, CI/CD support, cloud deployment, and production support. Senior engineers will mentor teammates and influence engineering standards, while early-career engineers receive mentorship and progressively greater ownership.

Designs and executes manual and automated tests for embedded software, develops test plans and documentation, analyzes results, debugs issues, and improves testing processes. Collaborates with software developers and external partners to ensure test coverage, resolve complex technical issues, and deliver reliable, high-quality embedded systems.

Conduct HPC and scientific application benchmarking, optimize performance on HPE systems, analyze bottlenecks across compute, memory, accelerators, interconnects, MPI, and I/O, and provide technical guidance to sales, marketing, development, and customers. The role requires expertise in Linux-based HPC environments, parallel programming, performance analysis, GPU technologies, storage systems, and large-scale application scaling.

Develop and operate hardware-in-the-loop and real-time simulation systems for energy storage and power conversion products. Build real-time models, integrate controllers and firmware, execute functional and fault test campaigns, automate testing and reporting, investigate failures, and support root-cause analysis. The role requires hands-on laboratory work with power electronics, controls, data acquisition, industrial protocols, and test documentation.

Partners with stakeholders to gather requirements and deliver Salesforce and SiteTracker solutions. Configures platform objects, workflows, permissions, automation, and integrations; develops Apex, Lightning Web Components, Visualforce, and SOQL solutions. Supports solution design, testing, deployment, production troubleshooting, root-cause analysis, and continuous platform improvement while collaborating with Business, QA, and Development teams.

Conduct automated and manual testing of rugged computer systems, including hardware, software, operating systems, BIOS/UEFI, networks, and peripherals. Diagnose board- and component-level issues using schematics and electronic measurement tools, analyze performance data, document defects in JIRA, verify compliance with specifications and military requirements, and collaborate with engineering and manufacturing teams on root-cause analysis and corrective actions.

Lead design, develop, and deliver secure, high-quality software for wholesale credit risk. Author and review production code, drive AI-assisted engineering practices, automate remediation, improve resiliency, and evaluate vendor/architecture suitability.

Build and maintain platform infrastructure, cloud services, CI/CD pipelines, monitoring, and developer tooling. Collaborate with senior engineers to improve scalability, reliability, automation, and developer experience. Participate in production operations, incident response, and retrospectives while contributing code, reviewing changes, supporting deployments, and progressively taking ownership of larger platform projects.

Develops and executes unit, functional, integration, and regression tests for Siemens PLC-based control systems. Builds Python and pytest automation for PLC I/O, HMI interfaces, and industrial communication protocols. Reviews and validates PLC code, conducts HIL/SIL testing, tracks defects, leads root-cause analysis, and produces test plans, reports, and traceability matrices. Collaborates with controls engineers to validate requirements and acceptance criteria.

Supports the design, deployment, maintenance, automation, monitoring, security, reliability, troubleshooting, and cost optimization of cloud infrastructure. The intern will work with IT and engineering teams, use infrastructure-as-code tools, and help maintain cloud environments supporting company data, applications, and internal tools. The role includes an independent 12-week project and presentation to company leadership.

Design, build, and maintain internal software applications and tools for Fervo’s IT team. Collaborate with cross-functional stakeholders, write tested production code, participate in code reviews, integrate internal systems with third-party platforms, and troubleshoot issues across the stack. Interns own a substantial 12-week project and present results to company leadership.

Designs, implements, monitors, and optimizes cloud-based application infrastructure and reliability. Uses IaC/NaC, observability, SLOs, CI/CD pipelines, and enterprise-authorized AI to prevent and resolve incidents, improve availability and scalability, and mentor peers on SRE best practices.