Top Tech Jobs & Startup Jobs in Chicago, IL

Lead software engineer responsible for designing, coding, testing, debugging, and stabilizing Java-based applications. Author and review technical designs, own complex stories and domain dependencies, mentor team members, enforce best practices, interact with business stakeholders, and improve processes and metrics. Provide guidance to contractors and participate in related agreements and SLAs.

Design, build, and maintain automated test frameworks for a cloud-native AWS data ingestion platform. Create test plans, execute unit/integration/performance/security tests, validate data reconciliation and parity with legacy systems, run DR drills, verify security controls and CI/CD/IaC, document results, and support UAT and handover.

Build and integrate reusable React.js UI components from wireframes, optimize front-end performance and responsiveness, ensure cross-browser compatibility, validate inputs, consume REST APIs, write tests, document code, and collaborate with designers and backend engineers to deliver accessible, secure, and scalable front-end applications.

Perform functional testing of backend systems (mainframe and middleware) for payments/banking. Validate and compare JSON and XML, design and execute test cases for batch jobs and message queues, support integration testing and automation, track defects, and collaborate with development and business teams.

Design, automate, and maintain cloud platform infrastructure and release processes. Implement and monitor observability, networking, security/patching, and container orchestration (EKS/Istio). Use Terraform, GitLab CI/CD, shell scripting, and Python to build reliable, compliant AWS-based systems and collaborate in Agile teams.

Develop and maintain iOS applications using Swift and SwiftUI. Implement reactive code with Combine, follow design patterns, write UI/unit tests, profile and fix performance with Xcode Instruments, manage repos with GitHub, integrate crash reporting and analytics, and distribute frameworks via SPM/CocoaPods.

Lead design and implementation of high-performance Spark-based data pipelines on Cloudera Hadoop. Optimize Spark applications and platform performance, build ETL processes for structured and unstructured data, ensure data integrity/security, collaborate with stakeholders, and implement version control and CI/CD for deployments.

Lead and deliver complex programs across product development, software implementation, and operational improvements. Plan, execute, manage budgets, stakeholders, timelines, quality, and program reporting. Collaborate with cross-functional teams and vendors, ensure customer satisfaction and team performance, and apply SDLC and project management best practices.

Design, implement, and operate scalable GCP infrastructure using IaC (Terraform/Deployment Manager). Build and maintain CI/CD pipelines, monitor systems (Dynatrace/Stackdriver), manage security/compliance, support development/production environments, automate tasks with scripting and config management, and optimize cloud costs.

Design, develop, optimize, and deploy high-performance Spark/Scala data processing applications and ETL pipelines within the Cloudera Hadoop ecosystem. Collaborate with data scientists and analysts, ensure data integrity and performance, troubleshoot Spark/Cloudera issues, and implement version control and CI/CD for Spark applications.