Top Automation Engineer Jobs in Chicago, IL

Lead enterprise automation and agentic AI initiatives, owning the automation and integration stack and Center of Excellence. Build secure, reusable workflows and integration frameworks using platforms such as Zapier, Claude, and Glean. Establish governance, standards, documentation, and prioritization practices while partnering with IT, innovation teams, engineers, business stakeholders, and executives. Identify operational inefficiencies, develop automation roadmaps, and deliver scalable systems with secure data handling, access controls, human oversight, and measurable business impact.

Designs, programs, commissions, and improves industrial automation, controls, robotics, networking, and digital manufacturing systems. Leads capital projects from concept through startup, coordinating vendors, contractors, and internal teams while managing schedules and budgets. Drives improvements in safety, reliability, OEE, throughput, energy use, and downtime. Supports cybersecurity, compliance, predictive maintenance, data analytics, and Industry 4.0 initiatives. Provides technical leadership, documentation, training, troubleshooting, and 24/7 on-call support for critical production issues.

Design, develop, and maintain automated tests for functional, regression, integration, and performance testing. Build test automation frameworks, integrate tests into CI/CD pipelines, analyze results, document defects, and collaborate with development and cross-functional teams to improve product quality and testing processes.

Design, operate, and automate hybrid infrastructure across Azure and on-premises hyperconverged environments. Build infrastructure-as-code solutions with Terraform and Ansible, develop reusable platforms, troubleshoot issues across cloud and infrastructure layers, and embed SRE practices. Partner with application, security, and business teams on resilient architecture, document standards and runbooks, support incident response, and reduce reliance on managed-service providers through automation and monitoring.

Designs and engineers automated internal audit workflows that enable continuous assurance. Responsibilities include re-engineering audit processes, orchestrating AI agents, developing prompt and agent libraries, integrating Power Automate and GRC platforms, automating document and population testing, creating real-time risk dashboards, and ensuring AI governance, privacy, explainability, and human validation. The role requires technical audit transformation experience, LLM orchestration, automation platforms, SQL or Python, data governance, and data warehouse expertise.

Designs, develops, tests, deploys, and supports UiPath automation solutions. Translates business requirements into scalable workflows, implements queues, logging, exception handling, credential management, and scheduling, and monitors production automations. The role troubleshoots failures, optimizes existing workflows, documents technical solutions, participates in reviews and UAT, and contributes to reusable components and development standards while maintaining privacy, security, and compliance.

Supports and improves material handling automation systems, including PLCs, HMIs, VFDs, SCADA, conveyors, sortation equipment, and industrial networks. Troubleshoots complex control and electrical issues, escalates downtime incidents, monitors performance metrics, coordinates vendors and technology installations, and contributes to capital projects. The role also provides technical guidance to maintenance and operations teams, supports equipment reliability, communicates project impacts, and helps develop technicians.

Advance warehouse automation reliability and performance across AS/RS, packaging, receiving, picking, sortation, and material-flow systems. The role establishes standards, defines control and software behavior, analyzes faults and throughput, improves high-uptime operations, evaluates technical alternatives, and develops AI-enabled troubleshooting tools. Responsibilities also include managing multiple engineering projects, solving complex system issues, and collaborating across hardware, controls, software, process design, analytics, and operations.

Build and deploy secure business automations and integrations across SaaS tools, internal systems, and APIs. Partner with stakeholders to identify high-impact workflow improvements, apply AI and agentic patterns where appropriate, and establish scalable engineering practices for documentation, testing, access controls, secrets management, logging, and maintenance. The role also helps shape automation infrastructure and team standards while collaborating with security and IT leadership.

Designs, develops, and operationalizes enterprise architecture processes and technology intelligence capabilities. Builds AI-powered process automations, data pipelines, metadata models, and cloud-based applications using Python, microservices, and SaaS architecture tools. Integrates analytics platforms, develops CI/CD pipelines, applies secure engineering practices, and delivers scalable solutions for regulated financial environments. Provides technical leadership, makes architecture decisions, mentors teams, and collaborates with business, product, risk, and security stakeholders.

Leads software engineering and automated testing initiatives across full-stack, distributed, cloud-based systems. Designs end-to-end test strategies and automation frameworks, provides technical direction across Agile teams, mentors engineers, establishes coding and design standards, and partners with architects and product managers. The role develops microservices and APIs, improves system performance, reduces technical debt, and evaluates emerging technologies across AWS and other cloud environments.

Develops and maintains secure, scalable software and automated testing solutions within an agile team. Responsibilities include UI and API automation, framework development, debugging, test design, SQL-based validation, architecture documentation, CI/CD support, data analysis, and responsible use of AI-assisted engineering tools. The role also contributes to reliability improvements, coding standards, software engineering practices, and team collaboration.

Designs, develops, and maintains automated testing frameworks for web applications, REST APIs, and distributed systems. Expands test coverage, integrates automation into CI/CD pipelines, and supports continuous testing in Agile environments. Responsibilities include applying risk-based and exploratory testing, validating data with SQL, debugging failures, and partnering with development teams to improve software quality. Preferred experience includes performance testing, Docker, Kubernetes, cloud testing platforms, behavior-driven development, and security testing fundamentals.

Own the managed services tooling ecosystem, building API, webhook, and email integrations across RMM, monitoring, backup, and ITSM platforms. Configure Jira Service Management, reduce alert noise, troubleshoot tooling failures, establish integration standards, evaluate new tools, and ensure customer-specific rollouts. Produce operational reporting, explain tooling to customers, and maintain auditable documentation within ITIL-aligned change management processes.

Develop and lead automated testing strategies for complex, high-volume data platforms. Build reusable test frameworks and validate ETL transformations, data integrity, replication, reconciliation, and streaming pipelines across UI, API, backend, unit, feature, integration, and regression testing. Integrate quality gates and reporting into CI/CD, manage test data and defects, ensure compliance and traceability, and collaborate with development and quality engineering teams.

Design, implement, and operate CI/CD pipelines for mobile and backend services; maintain build/test/release processes with quality gates and artifact management; configure non-production environments; support release preparation and deployment coordination; integrate monitoring/logging and improve automation, performance, and reliability of delivery pipelines.

Maintains, designs, provisions, and automates on-premises and cloud infrastructure supporting APIs, middleware, and distributed platforms. Develops infrastructure-as-code, automation tooling, CI/CD pipelines, and cloud services using Python, Ansible, Terraform, and Helm. Supports Windows and Linux systems, virtualized and containerized environments, networking, monitoring, backups, and post-implementation enhancements across Azure and AWS.

Designs, develops, deploys, and supports automation solutions, scripts, API integrations, and workflows for Technology operations. Maintains production automations, troubleshoots failures, manages integrations and credentials, documents solutions, and supports technology projects, acquisitions, migrations, and onboarding. Partners with Technology teams to analyze processes, prioritize automation opportunities, develop technical designs, establish governance standards, and improve operational efficiency through scalable automation, reporting, monitoring, and continuous improvement.

Leads software quality assurance for workflow-based applications, creating test plans, automated test cases, and reusable automation frameworks. Executes functional, regression, smoke, and performance testing; validates workflows, integrations, business rules, security, and data flows; tracks defects; and supports Agile ceremonies. Collaborates with product owners, engineers, and platform teams to define acceptance criteria and improve testing processes. The role also mentors quality engineers and communicates product quality status.

Build and maintain scalable automated testing infrastructure for transactional surveillance systems processing over 1 billion order events daily. Design unit, integration, and acceptance test suites; collaborate with engineers and data scientists; report on coverage and reliability; maintain monitoring and alerting; develop data quality checks; and investigate test failures. The role requires Python, testing frameworks, Git, and software engineering experience, with preferred expertise in data quality, performance testing, APIs, data engineering, and observability.

Design and deploy automation systems for high-volume optical transceiver manufacturing, including AI-based machine vision, robotics, motion control, testing, packaging, and process integration. Lead automation from concept through qualification and production ramp, resolve equipment issues, improve yield and throughput, collaborate with vendors and engineering teams, and develop documentation, validation protocols, and capital equipment justifications.

Develops and maintains enterprise infrastructure automations using Ansible, ARIA, Python, Bash, and PowerShell. Builds RESTful APIs, Infrastructure as Code solutions, CI/CD pipelines, integration workflows, and automated testing frameworks. Supports the full automation development lifecycle, troubleshoots production issues, documents solutions, and collaborates with infrastructure, security, and service teams in Agile environments. Requires advanced infrastructure automation experience, Linux and Windows administration expertise, secure coding knowledge, and Public Trust eligibility.

Build and maintain automation systems for package creation, testing, and container image generation. Develop Go-based CLI tools, services, integrations, and AI-powered pipelines for manifest generation, test scaffolding, validation, and quality gates. Contribute to scalable systems design, roadmap planning, and developer tooling while collaborating with distributed teams. The role focuses on improving reliability and reducing manual intervention across Chainguard’s software image factory.

Plan, execute and automate functional, regression and integration tests for mobile (iOS/Android) and backend services. Create and maintain test plans, cases and data; log and track defects; support UAT, performance and stability checks; collaborate with developers, DevOps and architects; integrate automated tests into CI pipelines and validate release readiness across environments and physical devices.

Design and maintain automated testing frameworks for web, iOS, and Android fitness applications. Integrate tests into CI/CD pipelines, build API coverage, test GPS and location features through simulation and sensor mocking, and use AI tools to improve QA workflows. Perform targeted exploratory testing, document defects, collaborate cross-functionally, estimate QA work, and advocate for quality throughout development.