Top Automation Engineer Jobs in Austin, TX

Lead development and optimization of back-end CAD flows for advanced process nodes. Own synthesis, place-and-route, physical signoff toolchains (Cadence, Synopsys), drive methodology, benchmark EDA tools, collaborate across Front-End/Physical/STA/DFT teams, and evaluate AI-enabled automation for silicon implementation.

The Senior IAM Automation Engineer will transform identity and access management through automation, DevOps practices, and mentoring. Responsibilities include implementing Tines, using infrastructure-as-code, and collaborating with SecOps on emerging identity challenges.

Lead and manage quality engineering teams focused on ERP automation testing. Define and uphold QA standards and processes, coach and mentor staff, partner with product and solution teams, author Agile test plans, support UAT and QA environments, and ensure successful project delivery while driving continuous improvement and innovation.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

The Senior Staff Process Development Engineer designs and implements manufacturing automation solutions for catheter production, focusing on error-proof processes and scalability.

Support and sustain deployed test fixtures: perform PM and calibration, deploy and document new fixtures, develop test procedures and specifications, gather and analyze test data, perform root-cause and failure analysis, apply DFx and PFMEA, and manage small fixture projects to improve quality and reduce cost.

Senior Full Stack Software Engineer role at Upside focusing on driving quality software development and enhancing consumer experiences through collaboration and technical choices.

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, build, and maintain automated test suites; identify, document, and track defects; collaborate with product and engineering to troubleshoot; improve QA processes and test coverage; maintain test documentation and mentor junior testers.

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

Design and operate enterprise-scale self-service automation platforms; lead architecture of cloud-native systems; mentor engineers and improve IT efficiency and security.

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.

The Automation Engineer will design, maintain, and validate automation equipment, ensuring manufacturing efficiency and uptime while collaborating with various 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.

Design, build, and maintain automation workflows and integrations across Microsoft 365, Google Workspace, and other SaaS platforms using PowerShell, Python, Azure services, and APIs. Automate user management, notifications, data sync, and access workflows while implementing secure logging, monitoring, error handling, and documentation. Collaborate with IT, Security, and business teams to optimize processes and reduce manual work.

Build and maintain automation and API integration solutions using Node.js and TypeScript. Reverse-engineer web APIs, handle bot-detection mitigation, implement scalable data extraction, own SDLC including QA and deployments, and collaborate with teams to deliver production-ready features.

The Automation Engineer will design, maintain automation equipment, support sites, develop solutions, and ensure timely delivery of automation requirements.

Design and implement automated systems in water treatment, collaborate with teams, conduct feasibility studies, maintain documentation, and troubleshoot systems.

Design, build, and maintain internal low-code/no-code automations and integrations. Create advanced Google Sheets systems, multi-step Zapier/Make automations, API/webhook integrations, and Notion knowledge/workflow hubs. Implement AI-powered workflows, identify operational bottlenecks, and document scalable systems to improve efficiency across CRM, marketing, and fulfillment processes.

Design, build, and maintain scalable automated workflows and integrations using platforms like n8n, Zapier, Make, or Workato. Integrate systems via APIs/webhooks, troubleshoot workflow issues, monitor performance, document processes, and support data synchronization across CRMs and business tools while collaborating with cross-functional teams.

Design and implement AI systems for customer support and compliance, architect solutions, mentor team members, and manage project deliverables.