Top Senior Python Jobs in Houston, TX

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.

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.

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.

Develops and maintains high-fidelity spacecraft simulation models, including environmental, vehicle, sensor, effector, and interface models. Responsibilities include real-time and faster-than-real-time simulation, HWIL testing, FDIR fault modeling, verification and unit testing, SQA tool development, and support for flight software, ground software, and operations teams. The role collaborates with aerospace, GNC, vehicle software, and subsystem engineers.

Own embedded perception sensor systems from hardware bring-up through production. Develop camera drivers, device tree overlays, and low-latency sensor pipelines on NVIDIA Jetson platforms. Build multi-sensor synchronization, calibration, and validation infrastructure, while partnering with electrical engineers and silicon vendors. Qualify sensors for harsh industrial environments involving heat, vibration, EMI, welding arcs, and ingress. Support perception and autonomy teams as the technical authority on sensor capabilities.

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 development, optimization, qualification, and scale-up of sputtering and thin-film deposition processes for continuous HTS wire manufacturing. Designs statistically rigorous experiments, improves yield and film quality, establishes process controls, troubleshoots complex manufacturing issues, and drives corrective actions. Partners cross-functionally on production integration, documentation, validation, and supplier coordination while mentoring junior engineers and leading technical improvement projects.

Develop and maintain electrical power system requirements, models, budgets, interfaces, supplier data, configuration records, and verification documentation for Axiom Station. Perform power, energy, voltage-drop, protection, efficiency, dissipation, and transient analyses. Support laboratory testing, data reduction, technical reviews, and action closure while growing toward ownership of requirements, analyses, and interfaces under senior engineering mentorship.

The Senior DevOps Engineer is responsible for designing, implementing, and supporting scalable cloud-native infrastructures and CI/CD pipelines, ensuring high reliability and performance while mentoring technical teams and promoting DevOps best practices.

Leads development of secure, scalable software solutions within an agile financial-services environment. Responsibilities include designing, coding, testing, debugging, reviewing production code, improving application stability through automation, applying AI-assisted engineering practices responsibly, and evaluating vendor and architectural solutions. The role requires advanced Python expertise, cloud-native experience, SDLC proficiency, software security knowledge, and familiarity with banking technology systems.

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.

Manage enterprise IT infrastructure across offices, data centers, endpoints, and SaaS environments. Lead IAM, system reliability, patching, MDM, virtualization, storage, ITSM workflows, and automation initiatives. Lead and mentor a small IT team while remaining hands-on with escalations, projects, technical direction, workload planning, and on-call operations. Support security compliance, audit readiness, and autonomous trucking operations.

Support Juniper MX and Routing Director platforms in large-scale ISP and data center environments. Plan network deployments, develop implementation plans, test solutions, troubleshoot hardware and software issues, manage JTAC cases, provide root-cause analysis, and advise customers on network operations. The role requires deep routing and switching expertise, customer communication, technical documentation, and collaboration with resident engineers. Automation and DevOps knowledge, including Python, Ansible, APIs, and Junos scripting, is preferred.

Lead engineer responsible for designing, building and operating scalable Big Data/ETL pipelines and production services on AWS. Drive automation (including LLMs/agents), SRE practices, security and data accountability, monitoring/alerting, incident management, and cross-team coordination. Champion AI-assisted engineering, remediate control/security findings, and improve reliability, performance, and operational efficiency.

Owns core platforms that deliver autonomous driving software from development through vehicle deployment. Responsibilities include C++ build and packaging systems, CI/CD, Docker and Kubernetes infrastructure, cloud and edge services, APIs, event-driven architecture, identity and access control, PKI, mTLS, secrets management, and fleet operations. The role also involves code review, architectural design, infrastructure on-call, mentoring, and cross-team technical leadership.

Lead technical vision and architecture for a cloud-native, low-latency global payments platform. Decompose complex systems, ensure performance/scalability/operability, drive reusable solutions, mentor engineers, evangelize best practices, and apply advanced AI tooling to accelerate development.