Top Tech Jobs & Startup Jobs in Chicago, IL

Design, build, and productionize generative AI solutions: advanced Python development, LLM prompt engineering and fine-tuning, agent frameworks, RAG pipelines with vector DBs, API and cloud deployment, MLOps/LLMOps, model evaluation and Responsible AI practices, and translate business needs into scalable AI applications.

Design, architect, and build enterprise Java microservices and APIs; lead technical delivery, mentor engineers, implement cloud-native and CI/CD practices, design database schemas and PL/SQL, and develop blockchain/digital-asset solutions including smart contract work and lifecycle integration in financial services.

Senior systems analyst responsible for analyzing end-to-end trading workflows, translating business needs into requirements, performing data mapping and UAT, and bridging mainframe and distributed systems. Deeply analyzes COBOL/JCL/DB2/VSAM/CICS applications, integrations (REST/SOAP/JSON/XML), and system interactions to ensure data integrity and drive solutions with product and engineering teams.

Design and build Java/J2EE solutions using Spring and APIs; develop webservices, DB schemas, PL/SQL and transactional SQL in DB2/Oracle; collaborate with architects, developers and DevOps to implement CI/CD (Jenkins, uDeploy), ensure code quality (Sonar), perform code reviews and testing, resolve technical roadblocks, and drive process improvements. Requires strong communication and teamwork.

Lead architecture and development of a high-performance Vue.js + Thymeleaf frontend supporting SSR/CSR, optimize frontend performance and BFF interactions (Spring Boot), mentor engineers, and deploy/scale in GCP with strong focus on SEO, security, and measurable performance improvements.

Lead design and implementation of Camunda-based business process automations. Collaborate with product and service teams, provide technical leadership and mentoring, ensure CI/CD and DevOps practices, participate in code reviews, and drive scalable solutions using Java, APIs, SQL/PLSQL, and cloud environments.

Lead end-to-end planning, execution, monitoring, and closure of software/AI technology projects. Coordinate cross-functional teams, manage scope, schedule, budget, risks, and stakeholders; run meetings, maintain documentation, and drive team accountability to deliver projects on time.

Lead design and implementation of scalable, secure data architectures (lakes, warehouses, pipelines). Provide technical leadership, mentor teams, enforce data governance and security (GDPR/HIPAA), optimize performance, review data models/ETL, and collaborate with stakeholders to deliver high-quality, maintainable data solutions.

Lead performance testing efforts: design and execute load tests, analyze results, perform root-cause analysis, collaborate with developers and infrastructure, build a standardized performance testing practice, produce test artifacts and reports, and recommend performance, capacity, reliability, and scalability improvements.

Design, build, and maintain scalable backend services in Java and Python. Implement RESTful/GraphQL APIs, optimize SQL/NoSQL databases, develop microservices, enforce security (OAuth2/JWT), write unit/integration tests, optimize performance, and collaborate with frontend and DevOps teams in Agile processes.