Top Senior Engineer Jobs in Chicago, IL

Seeking a Senior Front-End Engineer with expertise in React/Next.js for rebuilding legacy components, creating reusable templates, and integrating with headless CMS APIs while maintaining high-quality code and mentoring junior developers.

Design, develop, and deliver scalable .NET back-end and front-end solutions within an Agile, DevOps-oriented team. Lead technical design, code reviews, testing-first practices, CI/CD pipelines, containerized deployments, and ensure non-functional requirements (security, performance, scalability, maintainability). Mentor peers and collaborate across product, design, and architecture to produce high-quality software.

Design, develop and maintain front-end applications, resolve complex technical problems, communicate with users, and ensure software quality and delivery.

Manage and enhance the Salesforce Marketing Cloud platform: design and implement email campaigns, customer journeys, automation workflows, and data integrations; troubleshoot issues; gather stakeholder requirements; train teammates; and keep solutions aligned with SDLC and agile processes.

Develop and maintain Kubernetes runtime environments, support developers, resolve critical issues, and participate in on-call rotations for production systems.

Customer-facing pre-sales engineer supporting ULTRUS software, leading technical/business discovery, delivering tailored demos, shaping solution approaches, preparing RFIs/RFPs, documenting requirements in Salesforce, quantifying value, and supporting handoff to services and implementation teams.

Design, build, deploy, and operate Node.js and TypeScript backend services supporting account onboarding, identity verification, agreements, and funding. Own event-driven workflows, asynchronous processing, job orchestration, integrations, reliability, monitoring, and operational tooling. Develop scalable services on Google Cloud Platform and Kubernetes, support expansion into new markets, coordinate technical direction, and mentor engineers. Ensure correctness through idempotency, retries, reconciliation, and resilient handling of partial failures.

Design, develop, test, deploy, and support scalable Java microservices, cloud-native applications, event-driven systems, secure APIs, and AI-powered solutions. Build relational database solutions, messaging systems, and CI/CD pipelines while applying DDD and DevSecOps practices. Monitor system health, troubleshoot production issues, evaluate emerging technologies, and support cloud modernization. Collaborate in Agile teams, mentor junior engineers, and promote engineering excellence across mission-critical healthcare and PBM transaction platforms.

Lead hands-on software engineering for fixed-income trading systems spanning pre-trade, trade capture, pricing, real-time risk, and P&L. Design scalable solutions, modernize legacy systems, develop proofs of concept, and improve operational stability. Collaborate with trading, risk, and P&L teams, lead transformation initiatives, measure outcomes, and influence senior stakeholders. Drive responsible adoption of AI-assisted engineering tools, including code review, testing, troubleshooting, secure coding, and SDLC automation.

Design, build, and operate Rust services for account creation, identity verification, KYC/CIP decisioning, and asynchronous outcome delivery. Develop provider integrations, testable decision logic, secure PII workflows, policy-driven market configurations, and reliable cloud-native architecture using GCP and Kubernetes. Lead technical design reviews, establish cross-team contracts, respond to incidents, and mentor engineers while improving onboarding approval rates and time-to-funding.

Build and lead the data engineering ecosystem supporting analytics, BI, and data science. Design scalable pipelines, cloud infrastructure, Snowflake data warehouses, governance controls, validation frameworks, and machine learning workflows. Collaborate with engineering, data science, product, and business stakeholders on architecture and technology decisions. Develop AI agents and secure enterprise AI integrations, participate in on-call and incident management, document standards, and mentor data engineers.

The Senior IAM Engineer will architect and secure identity solutions, automate processes with Okta, and manage hybrid identity systems, ensuring compliance and security standards are met.

Own and operate the iMData platform: design and build Databricks-based ETL pipelines using PySpark and medallion architecture, create gold-layer star schemas, migrate assets from Synapse to Databricks, implement CI/CD and Terraform IaC, ensure data security and observability, mentor junior engineers, and collaborate with stakeholders and ML engineers to deliver production-grade analytics and AI-ready data.

Lead a team delivering cloud-based, full-stack, microservices solutions for payment network and regulatory needs. Mentor engineers, drive technical direction, collaborate with product, and occasionally write or evaluate code. Leverage containers, cloud services, databases, and modern languages to build scalable systems.

The Senior Platform Engineer will develop and support Workday solutions, collaborate with various teams, and enhance human resource technologies for Capital One.

Design, implement, and manage enterprise security solutions including endpoint, network, SaaS, and cloud protections. Investigate malware and advanced threats, expand SIEM detections, deploy DLP, perform forensics and vulnerability remediation, secure IAM/SSO/MDM, automate detections and reporting, participate in on-call incident response, and mentor junior security engineers.

Lead expansion and maintenance of a Zero Trust security program across hybrid on-premises and cloud environments. Manage identity and access controls, deploy and tune SIEM/EDR/XDR/IAM tooling, automate security operations, reduce alert fatigue, and collaborate with IT, DevOps, and business teams to strengthen enterprise security across endpoints, cloud, SaaS, identity, network, and data protection.

Maintain, enhance, and support enterprise applications on IBM i (AS/400) using RPGLE. Lead modernization efforts (VS Code, Code for IBM i, Git/GitHub), develop database solutions (MS-Access, OpenEdge Progress), build Visual Basic integrations, perform Linux system administration, troubleshoot issues, gather requirements from business users, and document technical specifications.

Lead design and delivery of advanced data and ML solutions, performing exploratory analysis, statistical modeling, and visualization to inform strategy. Manage and coach teams, collaborate with clients to validate outcomes, and improve analytics processes and data quality to drive business decisions.

Design and implement data architecture and scalable ETL/ELT pipelines on cloud platforms (AWS/Azure/GCP). Analyze complex problems, mentor junior staff, ensure data governance/security compliance, liaise with stakeholders, and deliver high-quality client solutions while developing technical and client-facing skills.

Join the US Bank Accounts team to design, build, and scale banking products. Own end-to-end projects, implement high-quality APIs and tooling, improve platform robustness, and collaborate across teams to deliver production services that handle large-scale distributed workloads.

Maintain and improve Linux-based production systems, automate deployments with Salt and Ansible, manage containerized stacks (Docker/Kubernetes), monitor and harden systems, troubleshoot incidents, partner with engineering for maintenance, and support infrastructure components like VMWare, SAN, backups, Kafka, MongoDB, and RabbitMQ.

The Senior Software Engineer will design and maintain backend systems, lead AI-assisted development, and collaborate with cross-functional teams. They will own projects and make architectural decisions while mentoring peers.

Responsible for ensuring reliability, scalability, and performance of data platforms. Design monitoring and alerting, automate deployments and recovery, optimize storage and query performance, troubleshoot incidents, plan capacity and scaling, document operations, enforce security/compliance, and collaborate with data engineering, product, and data science teams to maintain high availability of large-scale data systems.

Lead and architect full-stack cloud services and user experiences for credit card acquisition, mentor engineers, own deployments, and apply emerging AI/LLM technologies to drive product and engineering improvements.