Top Tech Jobs & Startup Jobs in Chicago, IL

Design, develop, and maintain high-performance Java microservices using Spring Boot. Implement threading/concurrency, fault-tolerance (Hystrix/circuit breakers), observability (SLI/SLO), and event-driven solutions with Kafka. Deploy and operate services on Kubernetes and AWS, mentor junior developers, and collaborate with cross-functional teams to deliver reliable, scalable features.

Lead planning, execution, and delivery of large technical programs across multiple engineering teams. Break down complex goals into milestones, write functional and technical user stories, manage resources and partner relationships, communicate status to senior leadership, anticipate bottlenecks, balance technical and business tradeoffs, and own program roadmaps.

Design and deliver large-scale data models (100+ entities) for on-prem and cloud environments using Data Vault 2.0, dimensional and normalized schemas. Work with stakeholders to analyze requirements, implement data warehouse methodologies (Inmon, Kimball), and ensure data governance, MDM, data quality, profiling, lineage, and dictionary across big data and cloud platforms (Snowflake, Hive, Redshift).

Lead architecture and execution of a microservices e-commerce platform using Java Spring Boot, GCP/GKE, Docker/Kubernetes, and frontend integration (React/Vue). Design scalable APIs, ensure security/compliance (GDPR, PCI DSS), optimize performance, build CI/CD pipelines, mentor senior engineers, and drive cross-functional collaboration and documentation.

Lead design and implement cloud-based data platforms and GenAI solutions using AWS/Azure/GCP, Databricks, and Snowflake. Build scalable ETL/ELT pipelines, deploy ML/LLM models, define data governance and compliance, advise clients, manage delivery, and mentor cross-functional teams.

Lead a development team to design and implement Spring Boot microservices, secure APIs with Spring Security (OAuth2/JWT), and architect event-driven solutions with Apache Kafka. Drive cloud-native, containerized deployments (Docker/Kubernetes), ensure testing and CI/CD, mentor developers, document designs, and troubleshoot production Kafka/microservices issues.

Senior PySpark developer responsible for building and maintaining large-scale ETL and data engineering pipelines using PySpark/Spark, Hadoop and related big-data tools. Work with SQL/NoSQL databases, cloud platforms, data lakes/warehouses, and support CI/CD and containerization. Collaborate on systems analysis, project delivery, and meet deadlines under pressure.

Lead design and implementation of a high-performance React-based frontend using Micro Frontend architecture, SSR/CSR hybrid strategies, and BFF integrations with Spring Boot microservices. Optimize performance (lazy loading, tree shaking, prefetching, edge caching), enforce state management patterns (Redux, Saga/Thunk), deploy on GCP, and mentor frontend engineers to ensure scalable, secure, and testable UI systems.

Analyze and consolidate disparate data sources, document functional specifications, review logical and conceptual data models, gather business requirements, validate implementations, support production deployments, investigate data quality issues, and coordinate with technology leads to resolve data completeness and accuracy gaps.

Lead multiple complex projects using established project management methodologies. Own project budgets, forecasting, and financial analysis (EV/ROI). Plan and execute quality control, risk mitigation, stakeholder communication, vendor negotiation, and pre/post implementation activities. Build and lead cross-functional teams, mentor other PMs, and participate in hiring. Escalate issues to program and senior management and develop project policies and standards.