Top Python Jobs in Houston, TX

Lead full‑stack development of scalable, secure services and UI using Java, Python, and React. Build AI/agentic capabilities with Smart SDK, design data/search solutions (PostgreSQL, OpenSearch), drive cloud-native engineering on AWS with Terraform, improve SDLC via AI-assisted tooling, mentor engineers, and deliver operational reliability.

Lead an agile team to design, build, and deliver secure, scalable full-stack applications. Drive adoption of enterprise AI-assisted engineering, evaluate vendors, mentor engineers on responsible AI, and promote best practices across software development and cloud infrastructure.

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.

Lead an agile engineering team to design, develop, and operate secure, scalable applications. Provide technical guidance, write and review production code, drive AI-assisted engineering adoption, influence product design, and promote firmwide SDLC practices using cloud-native, microservices, and Big Data technologies.

Lead technical design and delivery of cloud-native, resilient, and secure infrastructure for the Athena platform. Drive architecture, automation, IaC (Terraform), Kubernetes adoption, CI/CD, operational stability, and team best practices including responsible use of AI-assisted engineering tools.

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.

Lead design and implementation of automated, secure, scalable database platform services. Build backend services, APIs, self-service tooling, orchestration, and CI/CD pipelines; drive automation, code quality, and technical leadership across global teams.

Lead the design, operation, and resilience of block/file/object storage across on-prem and cloud. Drive incident response, performance tuning, capacity planning, automation, SLO/SLI ownership, observability/AIOps implementation, runbooks, backups/DR, and cross-team collaboration to meet reliability targets.

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.

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 SRE for Market Risk technology driving reliability, resiliency design, incident leadership, and mentoring. Uses observability and CI/CD tooling, container orchestration, and enterprise-authorized AI to improve SRE workflows, establish SLOs/error budgets, and reduce toil while ensuring security and auditability.

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 software engineers will manage diverse tech projects, provide mentorship, and deliver robust cloud solutions to meet regulatory needs.

Lead engineering and deliver secure, scalable data and LLM-based systems for a Global KYC and Risk Assessment Data Platform. Define architecture, engineering standards, AI/LLM governance, and drive adoption of AI-assisted development practices while mentoring teams and ensuring operational stability and observability.

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.

The Solutions Engineer will lead technical engagements throughout the sales cycle, validating solutions, advising clients, and collaborating across teams to meet customer needs and drive business growth.

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.

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.

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.

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.

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.