Top Automation Engineer Jobs

Design, maintain, and improve assembly robotic and secondary equipment for automotive exteriors. Implement error-proofing, support new program launches, troubleshoot equipment and quality issues, train staff, develop PMs, run CI/LEAN projects, and support offsite assembly with occasional travel.

Support deployment, commissioning, programming, and integration of automation systems (PLCs, HMIs, robotics, vision, AMRs) across manufacturing sites. Troubleshoot systems, collaborate with plant teams, vendors and integrators, drive standardization and scaling of automation best practices, and improve operational uptime and efficiency.

Design, install, maintain, and improve secondary/assembly equipment and end-of-line testing systems for new program launches. Implement error-proofing (poka-yoke), investigate and correct equipment/quality issues, train personnel, support downtime responses, review machine operation, and create preventive maintenance plans.

As a Junior Automation Engineer, you will develop automated scripts for testing, improve testing quality, and gather user feedback.

Lead the development of AI-driven test automation frameworks for cloud-native systems, focusing on quality engineering and mentoring.

Early-career network engineer responsible for RAN optimization and network performance across 4G/5G/6G and small cells. Design and implement automation and Generative AI tools, manage carrier and site launches, perform drive tests and audits, troubleshoot RF/baseband/radio issues, track KPIs, and deliver engineering projects from pre-sales through acceptance while collaborating with cross-functional teams.

Build and deploy production micro-apps and LLM-powered agents on a governed GCP platform. Integrate AI with systems (Salesforce, Slack, NetSuite, SQL), harden apps with auth, secrets, CI/CD, logging and monitoring, automate maintenance, and implement evaluation and observability for model quality and drift.

Contribute to building and hardening micro-apps and AI integrations on a shared GCP platform. Complete bug fixes and small features, participate in code and design reviews, apply security and software development best practices, monitor applications and follow runbooks, and use AI tools to assist development, testing, and documentation while learning from senior engineers.

The role focuses on advancing photolithography through automation and data-driven solutions, collaborating with engineers and optimizing systems.

Design, develop, and automate network load balancing infrastructure using Python and Ansible. Build secure production code, produce architecture artifacts, troubleshoot complex systems, analyze large datasets to improve resiliency, and collaborate within agile teams while contributing to engineering best practices and tooling (Atlassian stack).

As a Principal Software Engineer, you'll modernize DevX Pipelines, enhance CI/CD infrastructure, and promote software delivery efficiency.

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.

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.

Lead Data Engineer designs, develops, tests, and supports cloud-based data solutions. Collaborates with Agile teams on distributed, real-time, and ML-enabled systems using languages and data platforms (Java, Scala, Python, Go, Redshift, Snowflake). Mentors engineers, performs code reviews and unit tests, and drives technical innovation and experimentation.

Develop and maintain test automation software, frameworks, and testing tools (C++/Python) for classified programs. Analyze, design, code, evaluate software, prepare design documentation, use Linux development environments, collaborate with Systems/Hardware/Test engineers, and support integration and testing activities.

Lead design, development, and automation of virtualized cluster lifecycle (provisioning, patching, compliance, decommissioning). Automate OpenShift/Kubernetes Day-2 operations, build production-grade services, use workflow orchestration (Temporal preferred), drive AI-assisted engineering practices, mentor engineers, document designs, and troubleshoot large-scale infrastructure deployments across global teams.

The Senior Compliance Automation Engineer will architect and build a compliance automation platform, integrating security controls across hybrid systems while ensuring compliance with regulations such as NIST SP 800-53 and 800-171, focusing on automated, evidence-generating solutions for compliance monitoring.

Build end-to-end internal AI agents and workflow automations: discover high-value opportunities, redesign processes, implement LLM-based agents with integrations, deploy and operate solutions, and ensure security, compliance, monitoring, and adoption across GTM teams.

Design, build, and maintain end-to-end and integration test frameworks using Playwright. Write modular Python test scripts, integrate suites into CI/CD pipelines, debug flaky tests using Playwright Traces/Inspectors, optimize test execution, and collaborate with developers and product teams in an Agile environment to define test strategies and ensure application quality.

Design, manage, and commission automation and controls capital projects in a sugar refinery. Lead cross-functional teams, prepare budgets/proposals, install and commission equipment, maintain historian, and provide technical troubleshooting for PLCs, HMIs, drives, and networking.

Designs, proposes, and codes complex data and automation solutions on AWS; leads problem solving, provides technical guidance, and applies IaC and modern tooling to align software with business strategy. Works with AWS data/ML services and mentors teams to deliver reliable production systems.

Lead supplier automation assessments and develop automation maturity strategies to optimize material handling and flow. Facilitate workshops, drive cross-functional alignment with sourcing and industrialization, mentor junior staff, present recommendations to leadership, and continuously improve GM's supplier evaluation processes using data-driven analytics.

Lead development of end-to-end test automation for digital onboarding, write and review secure high-quality test code, drive adoption of AI-assisted engineering, establish validation standards, improve operational stability, and lead stakeholder and architecture reviews.

Lead quality engineering and test automation for Zscaler's distributed security cloud. Use AI-assisted frameworks to generate and execute test plans, validate bug fixes, and collaborate with developers and product. Support core cloud operations including phased rollouts, feature enablement, alert handling, capacity planning, performance benchmarking, chaos testing, and diagnosing complex distributed failures to maintain high availability.

Develop and maintain network automation applications using DevOps and CI/CD practices to create self-healing infrastructure. Build pipelines, implement orchestration and monitoring metrics, reduce manual operations, collaborate with agile teams, and optimize network performance and stability across Federal Reserve System infrastructure.