Top Senior Python Jobs in Houston, TX

Develops and maintains simulation software for NASA’s Orion spacecraft program. Responsibilities include designing, coding, testing, debugging, and documenting logical and mathematical models using C++, Python, MATLAB/Simulink, and Linux. Supports full software development lifecycle activities, real-time and hardware-in-the-loop simulations, software configuration management, user support, and compliance with software engineering standards.

Lead software test engineering activities across the full development lifecycle, including requirements analysis, coding, unit testing, integration testing, verification, qualification, and formal delivery. Develop and debug software using Perl, Python, and C++, while ensuring standards and requirements are met. Collaborate with multidisciplinary teams and apply embedded systems, Agile, and DevSecOps practices. The role requires an active Interim Secret Clearance, eligibility for Final Secret, U.S. citizenship, and a STEM bachelor's degree.

Develops, tests, debugs, documents, and maintains software for business and mission applications. Applies software development lifecycle standards, resolves program errors, analyzes system capabilities, and supports multithreaded applications using C++, Python, Linux, networking technologies, and related development tools.

Develop and maintain simulation software for NASA’s Orion spacecraft program. Responsibilities include designing, coding, testing, debugging, and documenting logical and mathematical models using C++, Python, and MATLAB/Simulink. The role supports full software development lifecycle activities, hardware-in-the-loop environments, software quality practices, user support, and simulation of hardware functionality, system dynamics, and mission scenarios.

Leads a small team of software engineering and sustaining staff working on product or technology development projects. Performs technical work, plans and supervises team activities, coordinates with project management, ensures compliance with development processes and standards, delivers quality subsystems on schedule, maintains technical documentation, supports QHSE and professional practices, and guides training, objectives, and performance appraisals.

Lead design and build of production-ready cloud and AI systems, prioritize security and reliability, ship solutions quickly using modern engineering practices, collaborate with cross-functional teams, mentor engineers, drive customer adoption, and deliver reusable assets and end-to-end complex deliveries.

Lead enterprise application observability using Dynatrace across hybrid environments. Responsibilities include platform architecture and administration, application onboarding, alerting and incident integrations, observability-as-code, SLI/SLO definition, performance analysis, root-cause investigation, automation, governance, mentoring, and roadmap development. The role partners with application, infrastructure, cybersecurity, ITSM, and vendor teams to improve reliability, reduce alert noise and MTTR, and expand monitoring coverage.

Lead HPC and AI benchmarking across CPU, GPU, networking, memory, and storage platforms. Analyze scientific, engineering, LLM, training, inference, and I/O workloads; identify bottlenecks; and optimize applications, frameworks, libraries, compilers, runtimes, and system software. Apply parallel computing, GPU acceleration, profiling, and memory and I/O optimization while translating findings into customer-focused recommendations.

Leads the design, programming, testing, optimization, and maintenance of industrial automation and control systems for energy-sector clients. Responsibilities include PLC, DCS, SCADA, HMI, SIS, alarm, and industrial network engineering; simulation and virtual commissioning; technical troubleshooting; root cause analysis; project execution; engineering documentation; commissioning; and factory acceptance testing. The role requires extensive continuous-process industry experience, strong control systems knowledge, and occasional travel to field locations.

Own and support HR Green’s Workday integration portfolio, including transitioning integrations in-house, building and maintaining Workday Studio and packaged integrations, troubleshooting production issues, and managing regression testing. Develop secure APIs, monitoring, error handling, and documentation for payroll-sensitive systems. Also maintain and build AI agents and automations, establish testing and lifecycle standards, and collaborate with business stakeholders and external specialists.

Designs, analyzes, develops, tests, integrates, certifies, and supports spacecraft propulsion and pressure-system hardware. Applies fluid mechanics, thermodynamics, heat transfer, materials, structures, and machine design. Reviews hardware, drawings, tests, suppliers, verification evidence, risks, and anomalies; supports mission operations and flight readiness. Coordinates with NASA, contractors, and partners, communicates technical recommendations, tracks issues, and mentors engineers. Travel to supplier, test, integration, launch, or program locations may be required.

Design and develop large-scale optimization models and production services for workforce planning, forecasting, scheduling, and resource allocation. Build OR-Tools/CP-SAT constraint models, define schedule quality metrics, validate algorithm performance, and integrate optimization engines into an enterprise workforce management platform. Collaborate with product, architecture, engineering, and workforce-management stakeholders to translate business requirements into mathematical models and operationally useful schedules.

Leads the design, operation, optimization, and governance of cloud, data, and AI platforms. Responsibilities include performance monitoring, incident response, disaster recovery, infrastructure design, automation, CI/CD, Azure DevOps workflows, and Azure Machine Learning and AI Foundry deployment pipelines. The role also establishes operational standards, improves observability, manages complex troubleshooting, supports security controls, documents platform processes, and mentors junior engineers.

Leads end-to-end design and lifecycle management of hardware platforms supporting internal cloud and PSI environments. Translates requirements into server, board, rack, cooling, and power designs; coordinates OEM, ODM, and JDM suppliers; manages milestones, risks, BOMs, validation, production release, and legacy retirement. Bridges hardware and software stakeholders while applying Linux, scripting, AI-assisted engineering, and infrastructure standards to deliver reliable, secure, auditable solutions.

Lead SRE responsible for driving reliability culture, conducting resiliency design reviews, leading incident response, improving service levels with data-driven analytics, adopting AI-assisted SRE workflows, mentoring engineers, and documenting knowledge across the organization.

Leads development of secure, scalable software for a distributed multi-tenant platform, including APIs, data ingestion, pipelines, dashboards, and isolated AWS deployments. Designs and operates cloud-native Kubernetes workloads, promotes automation and AI-assisted engineering practices, and champions security, privacy, and supply-chain controls. Evaluates architectures, mentors teams, improves operational stability, and supports platform delivery across regulated environments.

Leads design, development, testing, troubleshooting, and operational stability for secure full-stack software solutions. Develops Java and Scala statistical algorithms, React-based applications, microservices, REST APIs, and cloud-native services using AWS, Hadoop, Databricks, and Kubernetes. Reviews code, improves automation and resiliency, performs unit and integration testing, and promotes responsible AI-assisted engineering practices, secure coding, and compliant validation across an agile team.

Design and develop mechanical systems for humanoid robots, owning products from concept and CAD modeling through prototyping, manufacturing, testing, and deployment. Perform simulations, structural analyses, tolerance studies, and performance evaluations. Create technical documentation, collaborate with manufacturing partners, and work hands-on in the lab. Partner with electrical, software, controls, UX/UI, and industrial design teams to integrate complex robotic systems.

Reservoir Engineer responsible for produced water volume forecasting, disposal capacity planning, injection performance analysis, subsurface and containment risk evaluation, regulatory permitting support, and commercial diligence. The role partners with operations, analytics, finance, customers, and management to support budgets, dashboards, capacity planning, and asset optimization. Candidates need oil and gas reservoir or planning experience, Class II injection knowledge, strong SQL and Python skills, and the ability to communicate technical uncertainty. Periodic travel to Permian Basin facilities is required.

Leads end-to-end cloud operations for multi-tenant SaaS products, including incident response, monitoring, onboarding, releases, capacity planning, cost governance, security, disaster recovery, and customer communications. Manages and mentors the Cloud Operations team, coordinates vendors and cloud providers, supports secure OT-to-cloud connectivity, and partners with Engineering, Product, Customer Success, Sales, and customers to ensure reliable operational delivery.

Leads the architecture, design, development, validation, commissioning, and deployment of safety-critical Managed Pressure Drilling control systems. Develops Siemens PLC and HMI applications, performs risk assessments and FMEA, supports system integration and troubleshooting, analyzes field performance, and ensures compliance with industrial automation, hazardous-area, and safety standards. Collaborates with hardware, software, manufacturing, supply chain, testing, and field operations teams.

Designs, develops, and maintains scalable full-stack applications supporting drilling and rig technology. Builds AngularJS frontends, .NET/Python/C++ backend services, APIs, databases, real-time features, and data visualizations. Contributes to CI/CD, testing, secure coding, and industrial automation integrations. Collaborates with Product, Design, and Operations, participates in planning and code reviews, mentors junior developers, and supports deployments requiring domestic and international travel.

Senior QA Engineer responsible for validating AWS cloud infrastructure, data platforms, security controls, deployments, CI/CD pipelines, networking, databases, ETL pipelines, observability tooling, and operational workflows. The role develops automated tests, performs performance and migration testing, verifies security remediation, maintains test documentation, and collaborates with DevOps, cybersecurity, data engineering, and data science teams.

Designs, operates, and improves enterprise LAN, WAN, wireless, VPN, SD-WAN, firewall, and related infrastructure. Responsibilities include monitoring connectivity, capacity planning, network troubleshooting, incident ownership, root-cause analysis, documentation, infrastructure implementation, and coordination with internal teams and third-party providers. The role also supports Windows networking services, backup technologies, and Agile operational practices while maintaining on-site availability.

Designs and maintains Boomi integrations for high-volume logistics workflows and B2B data exchanges. Builds APIs, connectors, event-driven Kafka integrations, error-handling frameworks, and automated CI/CD workflows. Leads integration projects from requirements through deployment and support, contributes to enterprise architecture, and mentors junior developers. Requires expertise in logistics systems, REST/SOAP, EDI, SQL, scripting, Agile delivery, and integration monitoring.