Top Python Jobs in Houston, TX

Provides Level 3 customer support for HPE Cray Programming Environment software. Analyzes, reproduces, isolates, debugs, and resolves complex issues; develops workarounds; escalates unresolved problems to HPE R&D or external partners; performs pre-release testing; documents issue resolution; supports customers after hours; and mentors less-experienced staff.

Designs, deploys, and operates global network infrastructure, including Meraki environments, office networks, ISP circuits, Zero Trust, VPNs, firewalls, and monitoring. Administers enterprise AI platforms, develops AI-enabled automations, and enforces data protection and access controls. Builds scripts and API integrations, documents systems, supports complex IT escalations, evaluates vendors, collaborates cross-functionally, and participates in a global on-call rotation.

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 high-performance research platforms and tools that bring trading strategies to life. Work in small teams to design, build, and deploy resilient systems using distributed computing, NLP, and machine learning to solve large-data problems in finance.

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.

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.

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 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.

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.

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 software engineering for a strategic index platform supporting trading, sales, structuring, risk, P&L, execution, booking, market data, and client applications. Manages global programs and projects, collaborates with stakeholders and technology teams, influences architecture and design, and delivers reliable, well-tested software. Requires strong large-scale development expertise, business partnership, Agile practices, and ownership through production. Financial markets or investment banking application development experience is preferred.

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 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.