Top Senior Python Jobs in Houston, TX

Leads software engineering within JPMorganChase’s Corporate Data and Analytics team. Responsibilities include designing, developing, testing, debugging, and supporting secure, scalable production systems; reviewing code; improving operational stability; automating recurring remediation; and evaluating architectural solutions. The role also drives responsible adoption of AI-assisted engineering tools, coaches teams on secure validation practices, manages stakeholders and vendors, and supports data ingestion, management, and analytics initiatives.

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.

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.

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.

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 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.

Leads the technical vision, architecture, delivery, reliability, governance, and operations of a large-scale risk feature engineering platform. Manages multiple engineering teams and senior leaders, drives Databricks and AWS platform strategy, oversees batch and real-time data systems, and establishes standards for agentic AI-enabled development, security, resiliency, data quality, and regulatory controls. Partners with executives and technology stakeholders to deliver cross-organizational platform adoption and modernization.

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.

Leads software engineering projects for a global index business platform within investment banking. Develops, tests, reviews, and debugs secure Python and TypeScript production code on the Athena trading and risk platform. Collaborates with quantitative research, trading, sales, structuring, and operations teams to deliver business solutions. Drives responsible adoption and governance of AI-assisted engineering tools, improves SDLC automation, influences platform design, and serves as a technical subject matter expert.

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

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 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 an agile engineering team to design, build, test, and operate secure, scalable production systems. Drive adoption and governance of AI-assisted development (prompting, agentic engineering) within the SDLC, provide technical guidance, review code, and ensure responsible AI practices and operational stability in trading and risk engineering contexts.

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 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 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 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 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 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.