Top Python Jobs in Houston, TX

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 cross-functional teams to design, build, and deliver scalable enterprise software and products. Own engagement relationships, product roadmaps, architecture (APIs, microservices), CI/CD and quality practices, project planning, and mentoring of junior staff to drive delivery and continuous improvement.

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.

Technical lead who designs, builds, reviews, and delivers enterprise-scale Java full‑stack and cloud-native microservices. Guides and unblocks an engineering team, manages stakeholders, ensures compliance and resiliency, and drives CI/CD, testing, and operational stability across applications.

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 design, standardization, and governance of enterprise NAS architecture. Drive vendor evaluations, platform performance improvements, automation/guardrails, and cross-team integrations. Support SRE escalations and adopt AI-enabled workflows to optimize operations, reducing incidents and improving resiliency.

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.

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 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.

Lead development of a real-time equities derivatives pricing and risk platform. Collaborate with business, quant, and global technology teams; design, build, and enhance services; mentor Java developers; drive adoption and safe use of AI-assisted engineering; perform JVM performance tuning and third-level production support; document releases and ensure robust, test-driven solutions.

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 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 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 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 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 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.

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.

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.

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

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

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 manage a team building highly available, scalable full-stack microservices for global payments. Drive cloud-based solutions, mentor engineers, collaborate with product, and occasionally write or review code. Ensure regulatory-compliant, secure, and performant payment infrastructure.