Top Senior Python Jobs

Designs and operates production-grade Python services, APIs, distributed systems, and cloud-native applications for enterprise machine learning platforms. The role uses AWS, infrastructure as code, observability tools, automated testing, CI/CD, and secure deployment practices. Responsibilities include architectural guidance, code reviews, mentoring, production support, resiliency engineering, and collaboration with product, platform, and site reliability teams. The engineer also helps adopt AI-assisted development practices and may build solutions using generative AI and large language models.

Develop and enhance enterprise-grade Python applications, data-intensive services, and automation platforms. Responsibilities include system architecture, production coding, data processing, database optimization, testing, CI/CD, troubleshooting, incident response, observability, code reviews, and mentoring. Collaborate with product, data, infrastructure, and business teams to deliver scalable, secure, reliable solutions in distributed production environments.

Senior full‑stack engineer responsible for architecting, testing, and shipping end-to-end web applications. Refactor and optimize code, collaborate with product and data engineering teams to serve large-scale financial reporting and data-visualization workloads.

Design, architect, test, and deliver end-to-end full-stack applications for financial reporting and data visualization. Improve and refactor systems using Agile practices. Build backend services with Python/Flask/SQLAlchemy/Celery and frontend SPAs with React and TypeScript. Collaborate with product managers and data engineering to safely extract, parse, and serve large-scale private asset analytics.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

Senior Python engineer responsible for designing, building, and operating high-performance, scalable distributed services for Quantitative Investment Strategies. Work includes architecture, coding, testing, CI/CD, performance optimization, incident analysis, and close collaboration with front office, quants, trading, and risk. Mentor junior engineers and lead platform modernization efforts.

Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.

Develops and implements new or revised application systems in coordination with technology teams. Responsibilities include feasibility analysis, application design, construction, testing, implementation, user support, performance tuning, security recommendations, and troubleshooting. The role requires advanced programming expertise in Java, Python, PL/SQL, and PySpark, along with Agile and SDLC knowledge. Serves as a subject matter expert, advises stakeholders, coaches junior analysts, and exercises independent judgment in managing complex technology initiatives.

Lead hands-on development of enterprise-grade Python applications, data-intensive services, and automation platforms. Design reliable distributed systems, optimize database performance, perform testing and debugging, support production operations, and apply secure coding, Agile, CI/CD, and resiliency practices. Collaborate with product, data, infrastructure, and business teams to solve complex problems and improve engineering standards.

Evaluate AI coding agents such as Codex, Claude Code, and Cursor for engineering judgment, response quality, reasoning, explanations, and usefulness. Provide clear written and recorded feedback, distinguish quality levels, and help define standards for excellent AI-assisted development interactions. This contract role requires senior-level software engineering experience, strong Python or TypeScript/JavaScript skills, familiarity with modern AI development workflows, and excellent English communication.

Design, develop, test, debug, and support enterprise-grade Python applications, data-intensive services, and automation platforms. Build reliable distributed systems, optimize relational databases, apply secure coding and resiliency patterns, and collaborate with product, data, and infrastructure teams. The role also involves production troubleshooting, SDLC ownership, Agile delivery, CI/CD practices, and mentoring or raising engineering standards across projects.

Build, maintain, and scale e-commerce backend services using Python and Django. Develop REST APIs and features for catalogs, inventory, carts, checkout, orders, payments, and accounts. Integrate third-party services, optimize databases and performance, implement security controls, write tested code, resolve production issues, and collaborate on architecture, planning, reviews, deployment, and CI/CD.

Senior Python quantitative developer responsible for implementing ALM models, integrating pricing and risk analytics, optimizing performance, and delivering high-quality software for the Juniper Vasara risk platform. Collaborates with quant, business, and technology stakeholders in an Agile SDLC to support portfolio management, balance sheet strategy, and capital/risk calculations.

Lead design and delivery of high-throughput, low-latency APIs and backend services. Define API standards (REST, GraphQL, OpenAPI), drive performance, observability, scalability, and resiliency. Coach engineers, participate in design reviews and incident response, and build frameworks to simplify API development for product teams.

Provides professional support for risk technology and AI projects, completing deliverables, collaborating with stakeholders, following quality standards, and adapting to changing business needs. The role requires a related bachelor’s degree or equivalent, 5–8 years of relevant experience, and supervisory experience. Travel to client or organizational locations may be required, with potential increased hours during peak business cycles.

Lead end-to-end technical initiatives for an IoT cloud platform, shaping architecture, strategy, and roadmap. Build and scale React/TypeScript frontends, Python backends, cloud infrastructure, databases, and data systems. Improve developer experience, operate production systems, establish engineering standards, mentor engineers, and influence technical direction across teams. Collaborate closely with product and design while delivering reliable systems for monitoring, debugging, and updating connected devices.

Build and maintain full-stack applications that deliver AI/ML insights through backend services, REST APIs, containerized microservices, and high-performance front-end interfaces. Responsibilities include cloud-native development on Google Cloud or Azure, database management, testing, CI/CD automation, security, troubleshooting, and Agile collaboration.

Build and operate Python backend services, APIs, and React frontends for a property-management platform. Use AI coding tools extensively for planning, implementation, reviews, testing, and evaluation. Own features end to end, integrate third-party platforms, maintain CI/CD and observability, support safe AWS releases, and collaborate with product and operations. Mentor teammates through code reviews and help establish effective AI-assisted engineering practices.

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Build and scale low-latency ad-serving software handling billions of daily auctions. Responsibilities include developing data- and model-driven features, optimizing algorithms and architectures, reducing cloud costs, extending observability, supporting distributed infrastructure, participating in on-call rotations, and documenting systems and incident procedures.

Own and develop backend services, APIs, integrations, data pipelines, and referral workflows using Python, with React frontend work as needed. Serve as the subject matter expert for a business domain, improve reliability and data quality, review designs and code, and partner with Product and Operations. Build AI-agent skills, rules, and context while introducing agentic development practices using coding tools.

Develop and support front-office banking applications using Python, REST, ReactJS, and database technologies. Apply quantitative research, domain-specific data analysis, risk and pricing development, and financial markets expertise. Collaborate on fixed-income and potentially trade-surveillance applications, with Quartz platform experience preferred. The role requires extensive senior development experience in banking, full-stack development, and object and relational databases.

Designs and develops scalable, cloud-native Python backend services and APIs using microservices, serverless, and event-driven architectures. Builds AWS solutions with Lambda, containers, databases, caching, infrastructure as code, CI/CD, observability, and security best practices. Troubleshoots production systems, improves performance and cloud efficiency, applies reliability engineering practices, and provides technical leadership in an onsite Plano environment.

Develop and maintain Java-focused backend libraries and services that ingest, transform, and standardize diverse data formats. Build Python components, optimize MongoDB services, administer Linux systems, upgrade servers, install packages, monitor services, and troubleshoot environments. Contribute to scalable architecture, data modeling, integration patterns, Git workflows, code reviews, and continuous improvement. The role is onsite, requires U.S. citizenship, and involves a Top Secret SCI with Polygraph clearance.

Build software, data pipelines, dashboards, and automation for cloud cost visibility, infrastructure efficiency, reliability, engineering productivity, and financial accountability. Analyze workloads and billing data, implement AI- and analytics-enabled forecasting and anomaly detection, develop cloud-native services, and support capacity planning, cost allocation, and optimization. Collaborate with Engineering, Finance, Data, Platform, SRE, Architecture, and Product teams while testing, troubleshooting, documenting, and communicating recommendations and business value.