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Top Engineering Jobs in Chicago, IL
Fintech • Machine Learning • Payments • Software • Financial Services
Designs, develops, and supports complex Workday HCM integrations across HR modules including HCM, Recruiting, Compensation, Payroll, and Benefits. Uses SOAP, REST, WSDL, XML, XSLT, Workday Studio, and automation workflows to deliver resilient solutions. Responsibilities include troubleshooting, security, data analysis, process improvement, testing, code reviews, stakeholder collaboration, vendor coordination, and leading integrators and configurators through Agile delivery.
Top Skills:
AgileAPIsRestSoapWorkdayWorkday ExtendWorkday StudioWsdlXMLXslt
Fintech • Machine Learning • Payments • Software • Financial Services
Build and lead full-stack software engineering solutions for Capital One’s stored payment token platform. Develop Java-based backend APIs and cloud-hosted services using AWS, microservices, databases, containers, and modern frontend technologies. Lead technical initiatives, establish engineering standards, partner with architects and product managers, improve system performance, reduce technical debt, mentor engineers, and drive scalable, secure, and reliable solutions across Agile teams.
Top Skills:
Ai Coding ToolsAsynchronous ApisAutomated Testing FrameworksAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLObservability ToolsOpen Source FrameworksPythonRdbmsRustScalaSynchronous ApisTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Lead software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Provide technical direction across Agile teams, establish engineering standards, mentor engineers, partner with architects and product managers, and improve system performance through refactoring and observability. The role uses Java and other programming languages, AWS, databases, containers, APIs, CI/CD, infrastructure as code, automated testing, and modern AI coding tools.
Top Skills:
Ai Coding ToolsAPIsAutomated Testing FrameworksAWSAzureBitbucketCi/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservability ToolsOpen Source FrameworksPythonRdbmsScalaTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Designs, develops, tests, implements, and supports enterprise-scale integrations across systems, data sources, and cloud platforms. Leads integration initiatives, partners with software, data, infrastructure, and architecture teams, and defines reusable standards and patterns. The role also improves integration reliability, scalability, resilience, observability, and automation while mentoring engineers and supporting Agile delivery.
Top Skills:
AnsibleAPIsArtifactoryAWSAws LambdaAzureBashCloud IntegrationsCloudwatchCommvaultData PipelinesDatadogDell EmcFibre ChannelGCPGitIbm StorageIscsiJenkinsMulesoftNetappNetbackupNfsPure StorageSmbSplunkStep FunctionsStorage Virtualization
Fintech • Machine Learning • Payments • Software • Financial Services
Lead resilience engineering for large-scale cloud infrastructure. Responsibilities include defining architectural vision, automating platform operations, managing incidents and root-cause analysis, governing multi-cloud IaC, establishing SLOs, mentoring SRE teams, and optimizing capacity, costs, and FinOps strategy. The role also drives observability, security governance, distributed systems reliability, and production platform scalability across engineering organizations.
Top Skills:
AWSCi/CdGCPGenerative AiInfrastructure As Code (Iac)KubernetesAzureSecrets ManagementServerlessZero Trust
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Fintech • Machine Learning • Payments • Software • Financial Services
Leads cloud asset intelligence and inventory initiatives, defining technical vision, architecture standards, and platform strategy. Designs scalable, secure, multi-tenant cloud platforms; modernizes monoliths into microservices and event-driven systems; and applies AI and automation to improve cloud operations. The role drives cross-divisional architecture, engineering standards, operational excellence, and executive influence while mentoring senior engineers and strengthening organizational capabilities.
Top Skills:
Agentic AiAIAPIsAWSAzureCloud IdentityCloud NetworkingCloud SecurityCmdbsEvent-Driven PlatformsGCPGoGraph Query LanguagesJavaKnowledge GraphsKubernetesMicroservicesNode.jsOciPythonScalaServerless
Fintech • Machine Learning • Payments • Software • Financial Services
Leads technical vision and architecture for high-volume digital payments systems. Designs resilient, low-latency cloud platforms; modernizes monoliths into microservices and event-driven architectures; establishes API and engineering standards; ensures performance, scalability, operability, and implementation quality; mentors engineers; drives cross-domain initiatives; and contributes hands-on technical solutions across the organization.
Top Skills:
Agentic Ai Coding ToolsAPIsAWSC#Claude CodeDistributed SystemsEvent-Driven ArchitectureGoGCPJavaJavaScriptMachine Learning SystemsMicroservicesAzureNetworking ProtocolsPythonRustScalaSpa FrameworksSql DatabasesTypescriptWindsurf
Fintech • Machine Learning • Payments • Software • Financial Services
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.
Top Skills:
Ai Coding ToolsAsynchronous ApisAutomated Testing FrameworksAWSBitbucketC#Ci/CdDockerGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNoSQLObservability ToolsOpen Source FrameworksPythonRdbmsRest ApisRustScalaSynchronous ApisTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Design and scale resilient, cloud-native payment systems and distributed microservices. Lead technical architecture, technology roadmaps, and cross-team engineering initiatives while mentoring developers. Build full-stack solutions using Java, AWS, Kafka, multiple programming languages, databases, containers, and modern AI coding tools. Drive reliability, performance, observability, security, regulatory support, coding standards, and enterprise technology strategy.
Top Skills:
Ai Coding AssistantsAutomated Testing FrameworksAWSBitbucketC#Ci/CdDockerGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKafkaKubernetesNode.jsNosql DatabasesObservability ToolsPythonRdbmsRustScalaTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Leads engineering projects and developers building large-scale, distributed, cloud-native full-stack systems for Capital One Card Technology. Responsibilities include architecture, implementation, technical strategy, platform roadmaps, mentoring, regulatory solutions, reliability and performance optimization, observability, and collaboration with product and architecture teams. The role uses modern programming languages, microservices, databases, containers, cloud platforms, APIs, CI/CD, and automated testing.
Top Skills:
Ai Coding ToolsAWSAzureBitbucketC#Ci/CdDockerGCPGitGitGoIde CopilotsInfrastructure As CodeJavaJavaScriptKubernetesNode.jsNosql DatabasesObservabilityPythonRdbmsRustScalaTypescript
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