Top Senior Python Jobs in Houston, TX

Lead and support reliability, performance, and operational integrity of equities electronic trading systems. Provide hands-on DevOps/SRE production support for FIX connectivity, Linux troubleshooting, Grafana observability, Kafka on AWS, incident triage, root cause analysis, automation via Python and Bash, and cross-team collaboration including investigating C++ components.

Leads the design, automation, and operation of enterprise backup, recovery, data-protection, and resilience services across hybrid and cloud environments. Builds distributed systems, APIs, automation, observability, security controls, and AWS infrastructure. Drives reliability engineering practices, compliance readiness, recovery assurance, cross-functional delivery, stakeholder influence, and engineer mentorship.

Designs, integrates, validates, and supports end-to-end HPE infrastructure solutions across compute, storage, networking, software, Kubernetes, and cloud-native platforms. Develops Python automation, REST API integrations, infrastructure-as-code frameworks, proof-of-concepts, and reference architectures. Advises customers, delivers technical workshops and demonstrations, troubleshoots complex deployment issues, performs root-cause analysis, documents solutions, and collaborates with engineering, sales, partners, and customer teams.

Leads software engineering for equity derivatives risk management, designing, developing, troubleshooting, and reviewing secure Java applications. Builds resilient microservices, analyzes JVM and system performance, supports databases, messaging, cloud platforms, and full software development lifecycle tools. Drives automation, operational stability, and responsible adoption of AI-assisted engineering practices, including validation for security, correctness, and performance. Leads architectural evaluations with vendors and internal teams.

As a Software Engineer at Citadel, you will build systems for investments, collaborate with researchers, and tackle complex problems.

Develop and maintain automated UI and API test coverage, execute and analyze tests, perform exploratory and regression testing, investigate defects, and drive quality engineering improvements. Collaborate with software engineers and product managers on test strategies, contribute to technical designs, perform root cause analysis, and mentor junior engineers. The role also supports testing for performance, scale, security, and vulnerability concerns.

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 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 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.

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.

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.

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.

Leads global network infrastructure operations, resolving major incidents and complex problems across routing, switching, data center, security, load balancing, and related domains. Serves as a senior escalation point, coordinates incident bridges, manages infrastructure capacity and lifecycle support, advises stakeholders, mentors engineers, documents procedures, and drives service reliability and operational improvements. Preferred work includes multicast, low-latency networking, automation, Linux, version control, and regulated-industry controls.

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 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.

Provides onsite technical expertise for HPE networking products, including design, troubleshooting, break/fix support, testing, automation, documentation, and Junos configuration. The role supports customer networks, evaluates engineering designs, contributes to cross-organizational projects, mentors junior staff, and advises on best practices. Requires extensive data center routing, switching, and network architecture experience, Python scripting 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.

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.

Owns complex hybrid-cloud infrastructure operations across data centers, private and public clouds. Administers Linux and Windows systems, virtualization, networking, storage, backup, security, and monitoring. Develops production automation with Ansible, Terraform, Bash, Python, Git, and APIs; leads incident response, root-cause analysis, infrastructure changes, migrations, and modernization. Reviews engineering work, improves operational processes, documents standards, supports escalations, and provides technical guidance. The role includes on-call support, after-hours incident response, and up to 10% travel.

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.

Plans, designs, executes, and documents mechanical and electromechanical tests in industrial laboratory environments. Develops fixtures, methods, instrumentation, and test procedures; collects and analyzes experimental data; validates measurement methods; evaluates materials and system performance; and communicates findings through technical reports and presentations. The role may also involve client interaction, project leadership, troubleshooting, mentoring, and work across aerospace, transportation, energy, industrial, and other safety-critical applications.