Top Senior Python Jobs in Houston, TX

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.

Lead design and standardization of enterprise NAS architecture; drive vendor evaluations, resiliency and performance engineering, automation, and observability; partner with compute, network, cloud, application, and security teams; support SRE escalations and root-cause remediation; adopt AI-enabled workflows to improve documentation and automation.

Lead and grow multiple product-focused software engineering teams building cloud-native, ultra-low-latency, highly resilient payment systems. Drive architecture, microservices decomposition, AWS deployments, engineering practices, cross-team collaboration, mentorship, and adoption of cutting-edge AI tooling to accelerate development and improve system availability and scalability.

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.

Design, develop, and maintain secure, production-grade data-intensive applications and platforms. Build reusable frameworks, leverage enterprise AI-assisted development tools responsibly, collaborate across teams, and ensure scalability, observability, and operational stability for a global KYC and risk data platform.

Lead and deliver secure, scalable data and AI/ML systems (including LLM-based and agentic architectures) for enterprise KYC and risk platforms. Define architecture and engineering standards, mentor engineers, drive AI-assisted development adoption, ensure observability, governance, and operational stability across cloud-native data platforms.

Lead and mentor data engineering teams to design, build, and operate a secure, scalable KYC and risk-assessment data platform. Develop production code for data-intensive systems, set architecture and engineering standards, govern LLM-based applications and agentic AI, drive adoption of AI-assisted development practices, ensure observability, security, and cloud-native operations, and advise cross-functional stakeholders.

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.

Lead an agile team to design, build, and deliver cloud-native, microservices-based applications. Drive adoption of AI-assisted engineering, ensure scalable, resilient, secure solutions, mentor engineers, and resolve production issues.

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

Design, implement, and secure cloud-based IT systems; integrate development, operations, and security practices (DevOps/SecOps). Manage deployments with Azure DevOps Server and AWS CloudFormation, perform vulnerability assessments and incident remediation, mentor junior staff, and collaborate with clients to deliver reliable, secure software.

Lead diverse technology projects and teams to create solutions, mentor engineers, collaborate with product managers, and implement cloud-based solutions.

Lead and deliver cloud-based, full-stack solutions for a global payments network. Manage a portfolio and team, design distributed microservices, mentor engineers, collaborate with product, and use cloud, container, database, and multi-language technologies to meet regulatory and business needs.

Lead design and delivery of scalable, secure data processing solutions and platform modernization across private cloud and AWS. Modernize ETL and event-driven pipelines, improve observability and reliability, mentor engineers, and drive AI-assisted engineering practices and automation to increase delivery velocity and operational excellence.

Lead and manage a team building scalable, resilient distributed and full-stack payment systems. Define technical strategy, drive architecture, deliver cloud-based solutions, mentor engineers, and collaborate with product managers to meet regulatory and performance needs for high-throughput transaction processing.

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.

Lead teams and projects to design, build, and operate scalable, highly available payment systems. Mentor engineers, collaborate with product managers, deliver cloud-native full‑stack solutions using microservices, containers, databases, and AWS/Azure/GCP technologies, and occasionally write or review code.

Lead and mentor engineering teams to design, build, and operate highly available, scalable payment systems (debit network) using cloud-native microservices. Collaborate with product managers, deliver secure cloud solutions, and occasionally write or review code. Drive technical transformation, experiment with new technologies, and support regulatory needs.

Lead enterprise-scale cloud modernization and migration programs to AWS, design end-to-end architectures (including AI agent integration), define AI-native engineering standards, mentor engineering teams, implement IaC and CI/CD, enforce security and governance, and deliver measurable business value through technical strategy and execution.

Lead and mentor a team building high-throughput, resilient distributed microservices and full-stack cloud solutions for global payment processing. Collaborate with product managers, design scalable systems, ensure observability and reliability, and occasionally code, evaluate, and modernize platforms using cloud, container orchestration, and multiple programming languages.

Lead Software Engineer who designs, builds, and maintains Python services and data/AI pipelines; writes and optimizes SQL; triages and debugs production incidents; develops LLM-powered workflows and agentic systems; implements observability (logging, metrics, traces, alerts); drives adoption of enterprise AI-assisted engineering practices and SDLC automation; and documents system behavior and support procedures.

Lead and deliver secure, scalable cloud-native software solutions; write and review code; drive AI-assisted engineering adoption; evaluate vendors; promote operational stability and engineering best practices.

Lead and coach multiple software engineering teams building post-trade technology, drive adoption of enterprise AI-assisted development, set SDLC automation and operating practices, influence budget and technical strategy, and ensure secure, resilient, and measurable delivery outcomes.

Lead and deliver front-office desk workflow applications for commodities systematic trading: partner with traders, own end-to-end SDLC, implement front-to-back integrations across Athena and partner systems, apply AI-enabled spec-driven development, mentor engineers, set enterprise AI-assisted engineering practices, and ensure operational robustness, security, and measurable delivery outcomes.

Lead full-stack engineering on cloud-native (AWS) systems for market and model risk. Design, develop, review, and operate secure production code, drive automation and CI/CD, adopt and validate AI-assisted engineering practices, improve resilience, and collaborate with product and regulatory stakeholders while mentoring teams and evaluating vendor solutions.