Top Python Jobs in Chicago, IL

Develop and maintain backend software for programmatic advertising systems. Responsibilities include writing efficient code, designing applications, implementing unit and integration tests, documenting development and deployment processes, analyzing integration and architecture needs, troubleshooting issues, collaborating with QA, participating in code reviews, and improving application performance and reliability.

Leads software engineering for credit trading technology, designing and building secure, scalable Python systems and AI-enabled trading platforms. Partners with sales, trading, product, vendors, and support teams to deliver solutions, improve reliability, automate remediation, and modernize systems. Establishes engineering standards for AI-assisted development, testing, security, and responsible AI use. Requires strong cloud-native AWS, CI/CD, agile, application resiliency, and software development lifecycle expertise.

Develop and maintain scalable backend advertising software using Python and Django. Responsibilities include designing RESTful APIs, analyzing requirements, integrating and releasing applications, supporting production deployments, troubleshooting complex issues, collaborating with QA and cross-functional teams, participating in code reviews, mentoring engineers, and promoting reliability and engineering best practices. The role is hybrid in Chicago and may require variable schedules, including nights and weekends.

Lead diverse software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Provide technical leadership across Agile teams, define service architectures and integration patterns, reduce technical debt, improve performance, mentor engineers, and influence long-term technology strategy. The role uses multiple programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and observability technologies.

Lead software engineering projects and developer teams building cloud-based full-stack and distributed microservice solutions. Develop with multiple programming languages, AWS, databases, containers, APIs, and modern engineering tools. Provide technical leadership across Agile teams, establish coding and design standards, mentor engineers, improve system performance, reduce technical debt, and influence long-term technology strategy.

Build and lead full-stack software engineering projects using cloud technologies, distributed microservices, and front-end and back-end frameworks. Provide technical leadership across Agile teams, mentor engineers, define architecture and integration patterns, improve system performance, reduce technical debt, and establish engineering standards. Develop solutions using languages such as Java, Python, and JavaScript/TypeScript, along with AWS, containers, databases, APIs, CI/CD, and infrastructure-as-code tools.

Lead backend and full-stack engineering initiatives for customer rewards redemption platforms. Design and implement scalable, cloud-native microservices; guide architectural modernization; mentor engineers; establish technical standards; and partner with product, architecture, fraud, and customer experience teams. The role requires expertise in distributed systems, multiple programming languages, cloud platforms, databases, APIs, CI/CD, observability, and modern software development practices.

Design, implement, and optimize low-level systems software, networking components, protocols, and performance-critical applications. Develop client-server and socket-based systems using C++ and Python, apply algorithms and memory management techniques, and build comprehensive tests. Debug memory leaks, packet flow, and concurrent execution using GDB and Wireshark. Collaborate with cross-functional teams on modular codebases, technical documentation, code reviews, and release-cycle version control.

Leads complex software optimization initiatives from design through implementation and validation. Builds cloud-native services, data pipelines, dashboards, automation, and AI-enabled forecasting solutions. Analyzes cloud costs, resource utilization, reliability, capacity, and engineering productivity while partnering with Engineering, Finance, Product, Data, Platform, and SRE teams. Ensures scalable and secure integrations, testing, observability, financial data quality, and measurable savings. Provides technical leadership and mentorship to junior engineers without direct people-management responsibilities.

Leads full-stack software engineering initiatives using cloud technologies, distributed microservices, databases, APIs, and modern programming languages. Provides technical direction across Agile teams, mentors engineers, partners with architects and product managers, establishes engineering standards, improves system performance, reduces technical debt, and evaluates emerging technologies including AI-based development tools.

Develop and optimize low-level systems software using C++ and Python. Design networking components, socket communications, and protocol resolvers; implement algorithms and performance improvements; create unit, integration, and stress tests; debug memory, networking, and concurrency issues with GDB and Wireshark; and collaborate on modular codebases and release version control.

Paid 10-week Python software engineering internship on a DevOps team. Responsibilities include developing Python scripts, optimizing tooling, supporting CI/CD, collaborating with senior technologists, deploying solutions, and exploring AI-driven automation for log analysis, anomaly detection, and alerting in a trading infrastructure environment.

Build and scale Neuroscale’s backend platform for AI-powered recruiting workflows. Responsibilities include developing Python/FastAPI REST APIs, designing high-throughput systems, managing PostgreSQL, Redis, OpenSearch, Celery, and Temporal infrastructure, deploying services on AWS, maintaining containerized CI/CD pipelines, and supporting integrations, data pipelines, and asynchronous workflows. The role owns architecture and reliability decisions, mentors engineers, and collaborates with AI, product, and frontend teams in a high-ownership startup environment.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Own Telnyx’s global phone-number ordering pipeline, carrier integrations, regulatory automation, AI-powered order review, and Postgres data layer. Build reliable async Python services with retries, rollbacks, queues, SLA monitoring, document verification, auditability, and human escalation. Improve automation across dozens of vendors and 45+ countries while maintaining dashboards, analytics, and operational alerts across a large microservice estate.

Build and maintain AI-assisted full-stack platforms for manufacturing, spanning AWS infrastructure, Python Lambda services, Java microservices, agentic LLM workflows, and Angular interfaces. Develop event-driven architectures, APIs, retrieval and scoring systems, infrastructure as code, observability, CI/CD, and secure deployment strategies. Apply rigorous testing, specification-driven development, concurrency practices, and production reliability techniques across multi-repository systems. The role requires hands-on software development experience with enterprise server, storage, or networking products.

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.

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.

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.

Lead the design, development, and implementation of resilient pricing tools using Python and cloud technologies. Improve automation, deployment reliability, testing, documentation, and technical standards. Coordinate complex projects, research new development practices, identify technical blockers, and mentor junior developers. Collaborate with stakeholders while developing expertise in insurance pricing and supporting applications built with technologies such as Streamlit, Flask, Docker, Kubernetes, and cloud compute.

Designs and builds scalable applications using React and Python, contributing to component development, data storage, deployment practices, performance optimization, testing, and client requirements analysis. The role collaborates with technical leaders, clients, and distributed teams in agile environments, using Git, code reviews, cloud platforms, databases, and AI-native development practices. U.S.-based travel to client sites is required.

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.

Senior Python Developer responsible for taking ownership of an existing software project, understanding its architecture, completing unfinished features, resolving bugs, reducing technical debt, improving performance and reliability, expanding test coverage, and preparing the application for production release. The role requires independent decision-making, collaboration with stakeholders, API and database integration experience, and strong software engineering practices.

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.

Build and maintain Supabase’s public Python SDK across database, authentication, storage, realtime, and edge functions. Develop natural sync and async APIs, manage typing, packaging, testing, release automation, documentation, and issue triage. Collaborate with cross-functional teams and open-source contributors, support multiple Python environments, maintain WebSocket functionality, and design migration paths for API changes. Work autonomously in a remote, asynchronous environment while making the SDK accessible to developers and AI coding agents.