Top Engineering Jobs in Chicago, IL

Provides technical leadership for enterprise SaaS and low-code platforms, including planning, implementation, integration, testing, administration, security, performance, and compliance. Maintains Atlassian tools such as Confluence, Jira, and SpiraTest; supports knowledge management; documents solutions; facilitates training; coaches team members; and drives platform improvements. Requires expertise in Atlassian implementations, cloud technologies, SDLC practices, REST APIs, and system administration.

Year-round data platform intern supporting cloud-based data processing and data access services. Responsibilities include writing SQL, troubleshooting, documenting requirements, participating in Agile sprint reviews, collaborating with business and technical teams, and using technologies such as Python, Java, Kubernetes, Kafka, and AWS. The intern will also learn DevOps, monitoring, distributed systems, and AI-assisted development practices in a regulated financial-services environment.

Architects and maintains enterprise test automation frameworks across frontend, API, backend, database, and messaging layers. Leads functional, integration, regression, performance, and load testing; develops reusable Selenium, Cucumber, and TestNG components; validates microservices and business-critical workflows; and builds CI/CD pipelines with Jenkins, Docker, and Kubernetes. Establishes testing strategies, manages test environments and data, analyzes defects and results, and improves BDD testing practices and quality processes.

Supports enterprise quality governance by analyzing requirements, creating and executing manual and automated test cases, reporting software defects, maintaining regression suites, and validating testing compliance. The intern will automate regression testing for Ovation and Enterprise Technology Solutions applications, participate in Scrum ceremonies, and provide testing input during retrospectives.

Seasonal intern supporting enterprise technology quality assurance by analyzing requirements, creating and executing manual and automated test cases, maintaining regression suites, reporting software defects, and participating in Scrum ceremonies. The role focuses on application quality, testing-process compliance, and automation using programming languages and AI tools.

Supports Kubernetes clusters, Infrastructure as Code, and cloud-native infrastructure across AWS, Azure, or GCP. Assists with Terraform-based automation, monitoring, security best practices, troubleshooting networking and storage issues, high-availability requirements, documentation, and operational procedures. Collaborates with engineering, platform, development, operations, and security teams while developing hands-on infrastructure and cloud skills in a production environment.

Designs, supports, automates, and secures virtualization, Kubernetes, VDI, and cloud-native developer platforms. Responsibilities include infrastructure-as-code, REST API integrations, CI/CD automation, OpenShift and VMware strategy, platform migration, event-driven integrations, troubleshooting, disaster recovery testing, documentation, stakeholder collaboration, and on-call production support.

Leads enterprise infrastructure strategy and platform engineering across OpenShift, Kubernetes, automation, virtualization, networking, and cloud transformation. Designs highly available Kubernetes platforms, develops Infrastructure as Code and CI/CD automation, establishes GitOps deployment standards, and drives security, observability, disaster recovery, capacity planning, and cost optimization. Provides technical leadership and mentoring while partnering with development, security, networking, and infrastructure teams and communicating platform strategy to senior leadership.

Develop and maintain test automation frameworks, create automated test plans, perform unit and end-to-end testing, diagnose defects, validate enterprise and SaaS systems, debug ETL and SQL processes, and improve delivery-control reporting. Collaborate cross-functionally within Agile teams using Python, Shell, Java, SAP ABAP, JUnit, and TestNG to improve testing efficiency and system quality.

Leads architecture, design, development, testing, and documentation of scalable, secure, cloud-based clearing applications. Analyzes requirements, reviews code, develops unit and integration tests, assesses risks, supports production issues, and ensures adherence to SDLC, security, performance, audit, and quality standards. Mentors developers, collaborates with business and technical stakeholders, contributes to enterprise data strategy, and supports training and continuous improvement.