Top Python Jobs in Houston, TX

Leads Windows Server infrastructure engineering across physical, virtual, and container environments. Designs automation for provisioning, configuration, monitoring, and machine imaging; supports cloud migration, resilience, security, compliance, and modernization. Drives complex infrastructure programs, enterprise software engineering standards, and responsible use of AI-assisted development tools. Collaborates with cross-functional teams and communicates technical outcomes to business and leadership stakeholders.

Leads investigation and resolution of complex production issues across applications, APIs, cloud services, integrations, data pipelines, and factory systems. Designs resilient factory-to-cloud integrations, develops automation for operational workflows, performs root-cause analysis, and applies AI and LLM technologies to improve troubleshooting and support. Partners with engineering, manufacturing, operations, product, and customer success teams to improve reliability, scalability, and operational efficiency.

Leads complex production issue resolution, root-cause analysis, reliability improvements, system integrations, and operational automation across factory, cloud, and enterprise environments. Builds AI- and LLM-enabled capabilities for troubleshooting, incident response, knowledge management, and engineering productivity. Partners with Engineering, Manufacturing, Operations, Product, and Customer Success teams to improve scalability and reduce recurring incidents.

Leads full-stack software engineering for market risk, model risk, and treasury technology. Responsibilities include designing, developing, testing, debugging, and operating secure, scalable applications; providing technical direction; governing AI-assisted engineering practices; validating AI outputs for security and correctness; improving SDLC automation; and serving as a subject matter expert across engineering teams.

Leads investigation and resolution of complex production issues across applications, APIs, cloud services, integrations, data pipelines, and factory systems. Designs factory-to-cloud integrations, develops automation, performs root-cause analysis, improves reliability, and applies AI and LLM technologies to troubleshooting and operational efficiency. Partners with engineering, manufacturing, operations, product, and customer success teams to resolve high-impact problems and reduce recurring incidents.

Provides onsite technical expertise for HPE networking products, including network design, troubleshooting, break/fix support, testing, automation, documentation, and Junos configuration guidance. The role supports customer environments, evaluates engineering designs, drives technology integration, collaborates with internal and external teams, and mentors junior staff. Requires strong data center networking experience, Python scripting, analytical skills, and up to 10% travel.

Leads software engineering for JPMorganChase risk technology, designing, coding, testing, and delivering Python or Java solutions, automation, AI-assisted engineering, data pipelines, and resilient production services. Owns application risk, security, compliance, observability, reliability, remediation, and operational improvements. Collaborates across engineering and product teams, mentors engineers, promotes responsible AI tool adoption, and drives secure, scalable, high-quality software delivery.

Lead software engineering for secure, scalable applications in Java, Python, and Node.js across AWS and Kubernetes environments. Responsibilities include system design, coding, testing, troubleshooting, code review, SDLC improvement, and technical guidance. The role leads responsible adoption of AI-assisted engineering tools, establishes validation standards, supports automation, and influences application design and technical operations.

Lead software engineering efforts across Java, Python, and cloud-native environments. Design, develop, test, troubleshoot, and maintain secure software using AWS, Kubernetes, and Docker. Provide technical guidance, review code, improve SDLC automation, and promote responsible AI-assisted engineering practices. Influence product design and technical operations while supporting resilient, scalable applications and mentoring teams.

Leads site reliability engineering initiatives for enterprise applications and platforms, improving reliability, scalability, performance, security, observability, and service levels. Acts as the primary technical contact during major incidents, drives SLI/SLO and error-budget practices, reduces toil, mentors engineers, and promotes knowledge sharing. Evaluates enterprise-approved AI capabilities for incident response and reliability workflows while enforcing validation, auditability, data-sensitivity, resiliency, and security controls.

Leads full-stack software engineering within JPMorgan Chase’s supply chain technology team. Responsibilities include designing, developing, testing, debugging, and maintaining secure, scalable production systems; advancing AI-assisted engineering practices; automating recurring issue remediation; ensuring application resiliency and security; and evaluating vendor and internal technology solutions. Requires strong software development, cloud-native, agile, financial-services technology, and responsible AI expertise.

Develop and test scalable full-stack cloud applications using JavaScript and Python. Integrate enterprise applications and microservices, manage CI/CD workflows, conduct code reviews, troubleshoot software issues, and collaborate with cross-functional teams to translate business requirements into technical solutions. The role also involves process improvement, client engagement, and supporting digital transformation initiatives.

Lead cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

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.

Builds, configures, monitors, and optimizes applications and cloud infrastructure for availability, reliability, and scalability. Designs deployment strategies, CI/CD pipelines, infrastructure and network as code, observability practices, and SLO-based alerting. Troubleshoots complex issues, performs incident and post-incident analysis, and improves reliability proactively. Guides peers in SRE practices and uses authorized AI capabilities to accelerate triage and identify reliability risks while validating recommendations and protecting sensitive operational data.

Leads software engineering within JPMorganChase’s Corporate Data and Analytics team. Responsibilities include designing, developing, testing, debugging, and supporting secure, scalable production systems; reviewing code; improving operational stability; automating recurring remediation; and evaluating architectural solutions. The role also drives responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, manages stakeholders and vendors, and supports data ingestion, management, and analytics initiatives.

Develop and operate multi-cloud platform services for NASA missions across Kubernetes environments. Build cloud-native applications, infrastructure automation, CI/CD pipelines, observability capabilities, and integrations with AI and data services. Administer cloud networks, support application deployments, establish engineering best practices, and collaborate with security and compliance teams. The role supports human spaceflight missions including Orion, Lunar Gateway, and Artemis.

Develop and operate multi-cloud platform services for NASA, including Kubernetes environments, cloud networks, CI/CD, infrastructure automation, observability, and AI/data integrations. The role establishes cloud-native development practices, builds enterprise-grade multi-tenant services, reviews code, and collaborates with security and compliance teams supporting human spaceflight missions.

Develop and analyze safety-critical flight software requirements, architecture, interfaces, documentation, and verification activities for NASA’s Moon Base program. Identify software vulnerabilities, support cybersecurity risk mitigation, maintain requirements traceability, coordinate defect resolution and milestone reviews, and oversee compliance with NASA software engineering standards. The role also supports integration testing, software tools and scripts, technical assessments, and collaboration with NASA and contractor engineering teams.

Develop and analyze safety-critical NASA flight software for a lunar 5G communications network. Responsibilities include requirements engineering, architecture and document reviews, risk mitigation, interface definition, defect tracking, milestone reviews, requirements traceability, integration and verification, and compliance with NASA SSET standards. The role interfaces with NASA and contractor engineering teams and supports software tools, testing, and technical boards at Johnson Space Center.

Support flight software certification for the Nyx orbital vehicle through V&V and IV&V, requirements management and tracing, test planning, documentation for certification and NASA safety reviews, standards interpretation, interfacing with system engineering and product assurance, and contributing to software design and integrated mission testing using C++ and Python.

Develop, integrate, test, debug, and maintain high-fidelity real-time spacecraft simulation software supporting NASA Orion and Artemis missions. Build C++ and Python systems in Linux, conduct software verification across multiple test levels, support 6-DoF simulation and spacecraft test environments, maintain requirements traceability and configuration management, and collaborate with engineering teams and government customers.

Develop and maintain Unreal Engine 5 synthetic lunar environments, generate high-fidelity imagery for sensor simulation and autonomy testing, and build visualization tools for mission planning, training, and real-time operations. Collaborate with autonomy engineers, NASA, and partners on terrain and sensor modeling. Document synthetic environment processes and standards.

Develops, validates, optimizes, and applies advanced nondestructive testing technologies for industrial and tubular inspection. Responsibilities include UT, PAUT, and EMI method development; inspection data analysis; equipment and sensor validation; laboratory and field testing; troubleshooting; technical documentation; and multidisciplinary engineering collaboration. Requires 3–5 years of hands-on NDT experience, relevant technical education, and experience with inspection data and equipment.

Develop and modernize Credit Risk technology applications using Java or Python, SQL, and Databricks. Design, build, test, debug, and maintain secure, scalable production software; create architecture artifacts; analyze large datasets; troubleshoot complex systems; and improve coding practices and system architecture. Use authorized AI-assisted development tools responsibly, validate generated outputs, and contribute to engineering standards and automation.