Top Python Jobs in Houston, TX

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

Build scalable software and infrastructure for quantitative investment and trading systems. Responsibilities may include distributed storage, cloud environments, mission-critical reliability, model testing and deployment, low-latency trade execution, large-scale data ingestion, and internal productivity tools. Candidates should have a technical or quantitative degree, strong programming skills, large-scale systems experience, analytical ability, and passion for quality software.

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.

Validates complex HPE HPC and AI systems across servers, accelerators, storage, networking, firmware, operating systems, and management interfaces. Executes automated and manual testing, troubleshoots integrated system issues, supports Linux certification activities, improves test coverage and validation efficiency, and coordinates issue resolution with engineering, product, program, vendor, and global test teams. Communicates test status, risks, requirements, and recommendations to technical teams and leadership.

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 Site Reliability Engineer responsible for building highly available, scalable, and self-healing systems. The role focuses on AWS monitoring, logging, observability, Terraform-based infrastructure automation, security controls, compliance validation, CI/CD, and operational automation. The engineer will troubleshoot critical application and platform components, improve reliability, reduce toil, guide engineering teams, and champion site reliability practices across complex systems.

Leads reliability engineering for enterprise backup and data protection platforms, including Cohesity, Commvault, and NetBackup. Responsibilities include platform administration, disaster recovery, backup policy management, observability, incident response, resiliency design, automation, compliance certification, and AI-assisted operational workflows. The role mentors engineers, establishes service level objectives, improves platform stability, and supports mission-critical infrastructure through scheduled 7x12-hour shifts, including weekends.

Technical Marketing Engineer responsible for designing and demonstrating on-premises object storage and AI infrastructure solutions. The role develops benchmarks, proof-of-concepts, reference architectures, Jupyter notebooks, technical content, and enablement materials. It evaluates storage performance, scalability, and bottlenecks; collaborates with engineering, product, sales, partners, and customers; provides product feedback; automates infrastructure; and mentors engineers.

Leads software engineering and SRE initiatives for secure, scalable production platforms. Designs Python or Java automation, LLM and agent solutions, data pipelines, monitoring, and resiliency practices. Owns application security, risk controls, compliance, lifecycle management, incident response, and service-level objectives. Coordinates execution across engineering teams, promotes AI-assisted development, and coaches teams on secure, responsible AI adoption.

Leads software and data engineering work within an agile team, designing, developing, debugging, and supporting secure production applications and data pipelines. Builds AWS cloud-native solutions using Python, Java, SQL, and Databricks; reviews code; automates recurring remediation; improves SDLC practices; and promotes responsible AI-assisted engineering. Evaluates vendor and architectural solutions while guiding teams on secure, resilient, and compliant development practices.

Leads architecture, design, and implementation of secure, scalable SDLC developer platform capabilities focused on SCM. Builds Java and Python solutions, designs AWS cloud architectures, implements Terraform infrastructure, integrates development tools, automates workflows, manages incidents, and collaborates with internal teams and vendors to improve platform reliability, resilience, governance, and developer productivity.

Leads architecture, development, and operation of secure, scalable SCM and developer platform capabilities. Builds Java and Python services, designs resilient AWS architectures, implements Terraform infrastructure, integrates enterprise development tools, automates workflows, and manages incidents. Partners with internal teams and vendors to deliver platform roadmaps, improve developer productivity, and strengthen reliability, governance, and security across a global engineering organization.

Designs, develops, tests, troubleshoots, and documents software and networking systems in a Linux environment. The role performs system updates and monitoring, analyzes designs, debugs issues, writes testing plans and scripts, and collaborates with internal and external development partners to deliver reliable systems solutions.

Leads software engineering within JPMorganChase’s Risk Technology team, providing technical direction and developing secure, scalable production code. Designs, tests, debugs, and supports applications while guiding engineers, contractors, and vendors. Drives adoption and governance of AI-assisted engineering practices, improves SDLC automation, establishes validation standards, and serves as a technical subject matter expert. Requires advanced Python, Pandas, NoSQL, Databricks, cloud-native experience, architecture expertise, and strong independent problem-solving and leadership skills.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Designs, develops, and executes manual and automated tests for embedded software. Responsibilities include creating test plans, debugging issues, analyzing system designs, maintaining test coverage, collaborating with software engineering partners, resolving technical problems, and improving testing methodologies, tools, and processes. The role requires embedded software testing experience, programming skills in Python, C, or Go, and familiarity with embedded Linux, device drivers, computer architecture, and communication protocols.

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.

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.

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.

Owns and develops security-critical authentication software across Windows, macOS, Linux, mobile, and cloud platforms. Responsibilities include Rust-based Windows authentication components, Python Bluetooth services, cryptography, PKI, certificate logon, identity protocols, backend features, protobuf communication, threat modeling, mTLS, release packaging, and cross-platform testing. The role requires deep Windows internals and authentication expertise, applied cryptography knowledge, and strong Rust and Python skills.

Develops Python, PowerShell, Power Automate, and Revit automations that improve engineering, design, and business workflows. Responsibilities include scripting, AI tool integration, requirements gathering, Azure DevOps collaboration, Agile participation, documentation, user training, troubleshooting, and automation maintenance. Requires an associate degree or higher in a technical field and 0–2 years of experience, including internships or substantial projects. Python, Git, APIs, Microsoft automation tools, and communication skills are important; Revit, AI, Azure, and Agile experience are preferred.