Top Python Jobs in Chicago, IL

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, addresses regulatory technology needs, and delivers customer-focused systems. Uses Go, Java, Python, JavaScript, TypeScript, SQL, AWS, Docker, Kubernetes, relational databases, and NoSQL technologies while evaluating emerging tools and AI-assisted productivity solutions.

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.

Designs, develops, integrates, tests, deploys, and supports scalable backend software and web applications. Builds RESTful APIs with Django, contributes to architecture, documents technical work, and supports production services using Kubernetes, EKS, and AWS. Mentors junior engineers, collaborates with stakeholders and QA, evaluates performance metrics, supports releases, and presents technical decisions to internal and external audiences. The role requires independent judgment and occasional nights or weekends.

Develop and maintain scalable backend services for programmatic advertising platforms. Responsibilities include designing REST APIs, analyzing requirements, integrating and releasing software, managing production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, conducting code reviews, mentoring engineers, and promoting reliable engineering practices. The role requires Python and Django expertise, PHP experience, AWS and Kubernetes/EKS experience, and on-site work in Chicago twice weekly.

Lead backend software engineering initiatives and developers building scalable customer rewards redemption services. Drive architectural modernization toward microservices, collaborate with product, fraud, and customer experience teams, deliver cloud-based solutions, mentor engineers, evaluate code, and apply technologies including Go, Python, Java, SQL, Docker, Kubernetes, and AWS.

The Quantitative Developer will develop systems from research to production, build simulation infrastructure, manage feature pipelines, and troubleshoot issues in quantitative trading environments.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, evaluates emerging technologies, mentors engineers, and contributes to technology communities. The role uses languages including Python, Java, JavaScript, TypeScript, SQL, and Go, along with AWS, containers, Kubernetes, relational databases, NoSQL, Snowflake, Databricks, and AI tooling.

Lead and architect production-grade trading systems for Credit Pre-Trade Technology, build AI-native platforms, develop and maintain secure scalable code, partner with trading and product teams, drive AI-assisted engineering practices, support production stability and automation, and lead technical evaluations and communities of practice.

Design, implement, and optimize low-level software systems, networking components, protocols, and performance-critical applications. Develop unit, integration, and stress tests; debug memory leaks, packet flows, and multithreaded execution using GDB and Wireshark. Apply algorithms, data structures, and concurrency techniques while collaborating across teams to maintain modular codebases and reliable releases.

Design, develop, and support high-performance C++ and Python back-office post-trade processing applications. Build scalable reconciliation workflows, optimize SQL and database performance, implement monitoring and automated testing, troubleshoot production issues, and contribute to architecture and code reviews. Collaborate with technical and business stakeholders, use AI-assisted development tools, mentor junior engineers, and support reliable financial systems.

Build and validate challenging codebase-exploration tasks for AI agents using production Python repositories. Responsibilities include investigating runtime behavior and issue history, rewriting questions, refining rubrics and foils, running validation workflows, documenting solutions, and addressing expert review. The role is fully remote, asynchronous, contract-based, and task-paid, with work performed in a dedicated Studio environment.

Own end-to-end product features for a SaaS platform serving HR, therapists, and employees. Build, scale, and evolve frontend and backend components, lead architecture and standards, collaborate with design and product, and incorporate customer feedback and QA. Work in an early-stage startup environment with product-focused ownership.

Build and maintain Python backend services and serverless architectures for a restaurant operations platform. Ship end-to-end features, design robust systems, and help define product roadmap. Implement CI/CD and productionization, collaborate with product and GTM teams, and contribute to team culture and technical execution.

Modernize legacy SAS data-processing systems by translating logic into scalable, high-performance Python solutions. Build and optimize large-scale data pipelines using formats including SAS, Parquet, JSON, and SQL. Integrate PostgreSQL, implement parallel processing, automated testing, data validation, and quality assurance, and maintain well-documented code. Collaborate with IT specialists and stakeholders to validate requirements, troubleshoot issues, and deliver cloud-native modernization solutions.

Lead a team to design and deliver cloud-based backend solutions and distributed microservices using languages like Python, Scala, and Java. Collaborate with product managers, mentor engineers, evaluate code, and use AWS, containers, and data frameworks (Spark) to meet regulatory and customer needs.

Lead the design, development, and operation of production-grade automation, agent frameworks, and CI/CD pipelines supporting documentation, localization, and language operations. Integrate platforms through REST APIs and MCPs, apply LLM capabilities responsibly, improve reliability and scalability, establish reusable standards, and mentor engineers. The role is fully remote in the US, with preferred Eastern or Central time zone availability.

Build and maintain Django-based web applications, design RESTful APIs, implement frontend features (HTML/CSS/JS), optimize performance and security, collaborate with cross-functional teams throughout the development lifecycle.

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.

The Senior Python Engineer will develop and support MongoDB Python drivers, enhance library quality, and collaborate on product features.

Build and maintain scalable backend applications, serverless functions, microservices, data workflows, ETL pipelines, and cloud-native architectures using Python and AWS. Manage databases, APIs, batch jobs, and real-time integrations while optimizing performance, scalability, security, compliance, and cost. Collaborate with product, engineering, analytics, and data teams; contribute to architecture, CI/CD, infrastructure automation, development standards, and technical mentorship. Healthcare claims data experience is required.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

The Software Engineer will enhance trading systems and applications, collaborating with teams to improve adaptability and scalability in a fast-paced environment.

Build and maintain scalable Python-based AI applications under senior guidance. Assist with requirements, feature implementation, data modeling using Pydantic, code reviews, troubleshooting, testing, and CI/CD. The role requires collaboration, communication, and willingness to learn modern Python tools, frameworks, and libraries. Candidates should understand object-oriented programming, REST APIs, large language models, and AI coding tools. The position is fully remote within the United States.

Develop and maintain Python-based applications, collaborate with cross-functional teams, write clean efficient code, debug and optimize performance, participate in code reviews, and follow development best practices.

The Senior Scala/Python Engineer designs and develops scalable back-end systems, architects APIs, optimizes databases, and mentors team members in functional programming practices, enhancing platform reliability and security.