Top Automation Engineer Jobs in Denver & Boulder, CO

Design and scale Python-based UI, API, and embedded automation frameworks with CI/CD; stabilize multi-client video/OTT lab environments; manage network and device configurations; triage complex production defects; adopt AI-driven testing and virtualization; enforce lab governance, capacity metrics, and release readiness.

Design, build, and maintain scalable automated test suites across UI, API, and microservices; integrate AI-assisted test generation and synthetic data; validate AWS Lambdas; embed tests in GitLab/Jenkins pipelines; perform root-cause analysis and SQL-based data validation to improve release reliability and reduce manual QA.

Lead Quality Engineering for ERP automation: manage teams and client accounts, enforce QA standards, author Agile test plans, mentor staff, support UAT and QA environments, collaborate with Product, Solution Architects and DevOps to assure project success.

Lead and manage QA teams focused on ERP automation testing and quality engineering. Oversee project planning, execution and client accounts; mentor staff; uphold QA standards and processes; collaborate with product, solution architecture and DevOps teams; author and review Agile test plans, support UAT and maintain QA environments to ensure high-quality software delivery.

As an Automation Engineer, you will design and implement AI-driven automation solutions, develop AI agents, and ensure integration with enterprise systems. Responsibilities include collaborating with stakeholders, overseeing AI agent lifecycle, and mentoring junior developers. Proficiency in Python and familiarity with AI services are essential.

Lead technical automation projects for manufacturing: design, implement, validate, and support PLC/SCADA systems. Manage capital budgets, teams, CSV documentation, compliance, and continuous improvement across project lifecycle.

Lead technical authority for Emerson DeltaV systems: architect, design, implement, troubleshoot, and commission complex DeltaV solutions across regulated manufacturing (pharma, biotech, food). Develop company-wide standards, reusable libraries, and mentor engineers while supporting project delivery from specification through startup and validation activities.

Build AI-enabled workflows and no-code/low-code automations to optimize business operations. Partner with cross-functional teams to identify inefficiencies, prototype solutions, measure impact, and manage projects to deliver scalable process improvements.

Design, automate, deploy, and secure AWS and hybrid infrastructure using Terraform and CI/CD tooling. Build reusable IaC modules, maintain DevOps pipelines, implement logging/monitoring, and ensure compliance with zero-trust and frameworks (NIST/CIS/ISO). Collaborate across engineering, security, networking, and data teams to support mission continuity, DR, and documentation for federal environments.

The GTM Engineer will automate sales workflows using tools, build integrations, design a win/loss analysis program, and collaborate with sales teams to leverage AI insights.

Design and implement automation, instrumentation, and control systems for manufacturing and facility infrastructure. Develop drawings, calculations, and technical documentation; coordinate with stakeholders; support construction activities; perform field investigations; mentor junior staff; and lead small projects or defined scopes under senior engineer supervision.

The Automation Engineer designs, maintains automated tests, mentors teams in best practices, integrates tests into workflows, and collaborates with stakeholders.

The Jira Platform & Identity Automation Engineer designs and implements automation for Active Directory access workflows, integrates Jira with execution platforms, and develops a structured asset model in Jira Assets.

Design and implement automation and ETL workflows to manage partner onboarding, data reconciliation, and operational runbooks. Build integrations, dashboards, alerts, and self-service tools to maintain data quality and streamline network incident response.

Design and implement automated workflows, ETL pipelines, and integrations to centralize partner data. Build reconciliation, alerting, runbook automation, dashboards, and self-service tools to improve data quality and operational response.

Design and implement automation for partner onboarding, data pipelines, ETL, reconciliation, and operational runbooks. Build API integrations, alerting, dashboards, and self-service tools to maintain partner data quality and streamline incident response.

Design and build automation workflows, ETL pipelines, and integrations to centralize partner/network data. Implement data quality checks, alerts, dashboards, and runbook automation to support operations and incident response. Migrate legacy data, reconcile discrepancies across systems, and create self-service tools for bulk data operations and reporting.

Design and implement automation and ETL pipelines to centralize partner data, build self-service and alerting workflows, automate operational runbooks and incident contact retrieval, and create monitoring dashboards and reconciliation scripts to ensure data quality and consistency.

Design and implement automated workflows, ETL pipelines, and integrations to centralize partner/network data. Build self-service tools, alerting, runbook automation, reconciliation scripts, dashboards, and scheduled reports to improve data quality, incident response, and operational efficiency.

Design, program, test, install, and commission SCADA, relay, and PLC systems (primarily SEL/RTAC). Produce schematics, configuration files (IEC61850, DNP3, MODBUS), AutoCAD drawings, perform field commissioning/troubleshooting, and prepare project documentation. Support clients and perform periodic interstate field assignments.

The Technology Program Quality Assurance Engineer enhances quality engineering in veterinary practice by leveraging technology for compliance, automation, and process improvement in quality management systems.

Design and automate internal audit workflows using AI agent orchestration, process engineering, and automation platforms. Build agentic Power Automate/Make.com workflows, integrate GRC tools, use DataSnipper for document matching, produce real-time risk dashboards (Power BI/Tableau), and enforce AI governance, privacy, and human-in-the-loop validation.

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

Design and implement Infrastructure as Code and automation (Terraform, Bicep, ARM, CloudFormation). Build reusable modules, automate provisioning, and develop pipelines (Azure DevOps, GitHub Actions, Jenkins). Script in Python, PowerShell, Bash and use Ansible. Manage hybrid infrastructure across Azure, AWS, VMware and Windows Server, ensuring HA, DR, capacity planning and lifecycle. Enforce security baselines, Zero Trust, identity (Azure AD/Entra/AD), patching, vulnerability management, and compliance (SOC1/2, SOX, HIPAA, PCI, ISO27001).

Design, develop, and implement network automation solutions for GPON/XGS-PON and IP multi-vendor environments. Lead scripting (Python, Go), CI/CD pipelines, integrations, documentation, mentoring, and automation of provisioning, monitoring, and reporting to boost operational efficiency.