Top Automation Engineer Jobs

Designs and operates enterprise cloud automation and Infrastructure as Code platforms across AWS, Azure, GCP, and private clouds. Builds cloud-native platform services, APIs, GitOps systems, Terraform provisioning, governance frameworks, workflow orchestration, observability solutions, and AI-powered developer experiences. Leads architecture and modernization initiatives, establishes engineering standards, mentors engineers, and partners with security, SRE, architecture, and software teams to improve cloud adoption, reliability, governance, security, and developer productivity.

Configure and troubleshoot Salesforce Marketing Cloud and CDP implementations, including journeys, automations, audience processes, integrations, consent rules, and activation workflows. Write SQL, AMPscript, and JavaScript for segmentation and personalization, validate data and behavioral events, resolve execution issues, and collaborate directly with client marketing, CRM, analytics, and data teams. Document configurations, QA results, deployments, and operational procedures across multiple client engagements.

Supports the design, commissioning, validation, optimization, troubleshooting, and compliance of automated manufacturing systems in a regulated biomanufacturing environment. Works with PLCs, SCADA, HMIs, servers, databases, historians, and visualization systems. Leads automation projects, investigations, documentation, audits, qualification activities, and system improvements while collaborating with engineering, quality, validation, and digital teams. Provides technical guidance and rotating 24/7 on-call support.

Provision, configure, patch, and troubleshoot Linux and Kubernetes infrastructure across on-premises, cloud, and hybrid environments. Develop IaC, CaC, scripts, and CI/CD pipelines for automated deployments and secure configuration changes. Implement STIGs, access controls, vulnerability remediation, monitoring, logging, and alerting. Support RMF and ATO evidence, configuration management, incident response, capacity planning, recovery procedures, technical documentation, and operational runbooks.

Build and deploy AI agent systems that automate complex business processes. Analyze workflows, design and configure agents, integrate AI with enterprise applications, develop connectors and APIs, and establish evaluation and monitoring systems. The role requires expertise in cloud AI services, LLMs, NLP, Python, integration platforms, conversational AI, RAG, vector databases, APIs, and SQL/NoSQL systems. The engineer will also explore emerging AI technologies and mentor junior developers and system administrators.

Designs, builds, reviews, and deploys test automation frameworks for complex software systems across web, mobile, and API layers. Leads troubleshooting and issue triage, identifies root causes, writes functional and regression tests, and drives process improvements. Mentors automation engineers, collaborates with product, project, development, and business teams, and leads testing efforts for complex applications. Requires strong programming, SQL, software quality assurance, version control, and automation expertise.

Develop and release software for intelligent automation, robotics, and autonomous material-handling vehicles. Responsibilities include software architecture, autonomous navigation and path-planning algorithms, computer vision, hardware integration, validation, troubleshooting, and performance improvements. The role collaborates with multidisciplinary engineering teams and supports documentation, risk resolution, and technical development for automated forklift components.

Performs functional, integration, exploratory, regression, and automated testing for complex government accession-processing systems. Develops traceable test plans, cases, data, scripts, and objective evidence; manages defects through resolution; supports user acceptance testing, release readiness, sprint activities, and security regression verification. Collaborates with government stakeholders and technical teams while mentoring testers and improving automation, coverage, and quality practices.

Own and expand end-to-end QA automation frameworks across API, UI, microservices, and integration layers. Develop JavaScript-based automated tests, integrate testing into CI/CD pipelines, collaborate with Engineering, Product, DevOps, and AWS teams, investigate failures, improve quality processes, and mentor junior QA engineers. The role requires strong automation, API testing, debugging, software testing strategy, and independent ownership skills.

Design, implement, and maintain test and automation software for data acquisition, hardware control, and user-facing GUIs. Collaborate with test operations through the full test lifecycle: design, integration, deployment, debugging, and support. Review and write code, work onsite, and deliver innovative solutions for testing operations.

Designs, develops, and maintains automated testing solutions across non-production and production environments. Integrates automated workflows with Jenkins and CI/CD pipelines, performs API testing with Postman Enterprise, validates databases using SQL, and supports JSON/XML-based orchestration. Collaborates with Java and C development teams to investigate defects and improve test coverage. Provides technical leadership, mentors colleagues, promotes automation best practices, and helps integrate AI tools into daily engineering workflows.

Leads software validation for operational technology and manufacturing automation projects, primarily involving DeltaV and Allen-Bradley PLCs. Responsibilities include developing and reviewing validation plans, protocols, and test cases; executing testing and factory acceptance activities; managing risk controls, data integrity, security, periodic reviews, remediation, and controlled documentation; troubleshooting commissioning issues; supporting audits; and coordinating project deliverables, budgets, and contract validation resources.

Lead development of AWS-based security platforms that orchestrate SAST, SCA, container, and API security scanning across enterprise pipelines. Build AI-enabled application security capabilities, including agentic vulnerability analysis, remediation recommendations, validation, and quality measurement. Design APIs, event-driven services, automation, and CI/CD integrations while improving platform reliability, observability, and scalability. Provide technical leadership, mentorship, and strategic direction across DevSecOps, application security, cloud, and AI initiatives.

Leads automation engineering projects using ABB 800xA and distributed control systems. Responsibilities include system configuration, control logic and HMI development, project planning, budgeting, risk assessment, technical issue resolution, customer support, scope-change analysis, and coaching junior engineers and technicians. The role supports projects across renewable energy, oil and gas, chemical, power generation, water treatment, and life sciences industries, with travel up to approximately 25%.

Develop and support complex software for laser-based industrial automation and material-processing systems. Lead technical execution across machine-control subsystems, mentor engineers, and coordinate software integration, testing, commissioning, and customer acceptance. Collaborate with electrical, mechanical, controls, applications, manufacturing, and service teams to resolve system-level issues involving motion control, machine vision, communications, and hardware. Improve software architectures, quality practices, reusable components, and development processes while supporting customer installations and occasional travel.

Designs, integrates, tests, troubleshoots, and improves robotic workcells for automated discovery laboratory workflows. Responsibilities include robot and equipment integration, controls and safety interfaces, physical layout, reliability improvements, simulation, FAT/SAT execution, technical documentation, root cause analysis, vendor coordination, and compliance with EHS, biosafety, and regulated-environment expectations.

Sets enterprise-wide quality engineering strategy for AI-assisted and agentic testing. Leads the Tricentis platform, designs test automation and AI-agent evaluation frameworks, integrates testing into CI/CD, and ensures GxP, FDA CSA, GAMP 5, and Part 11-compliant evidence. Partners across enterprise applications, data engineering, AI, and regulatory teams while mentoring QA engineers, managing vendors, measuring quality outcomes, and guiding technical standards for regulated systems.

Supports the lifecycle management of automation and computerized systems in a regulated life sciences environment. Responsibilities include PLC and process control system modifications, change controls, system lifecycle documentation, commissioning, acceptance testing, risk assessments, engineering change notices, and project coordination. The role collaborates with Engineering, Quality, Validation, Manufacturing, and Automation teams while maintaining compliant technical and project documentation.

Supports automation engineering projects in regulated life sciences manufacturing. Responsibilities include managing change controls and ECNs, authoring computerized system lifecycle documents, executing acceptance testing and commissioning protocols, maintaining technical and operational documentation, and ensuring automation system modifications comply with procedures and regulatory requirements. The role collaborates with engineering and technical teams to maintain accurate project and system records through completion.

Build, execute, and maintain automated integration tests within an Agile team using frameworks such as Selenium, Playwright, or Cypress. Collaborate with developers and testers to validate APIs, web services, and system integrations; document defects; maintain Kanban tasks; report status; and support high-quality software delivery. The role also involves generating technical engineering products and working with CI/CD pipelines, test-driven development, and programming languages such as Java, Python, or JavaScript.

Develop and maintain semiconductor equipment automation and MES integrations using SECS/GEM, SEMI standards, Ignition, Python, REST APIs, and databases. Design equipment-to-host interfaces, station controllers, finite-state workflows, data collection, tags, and web or desktop applications. Validate MES processes, support SPC software, debug and host applications, and work with hardware and semiconductor manufacturing systems. The role also requires strong analytical, communication, leadership, project management, and application ownership skills.

Supports U.S. Navy infrastructure through site reliability engineering, automation, integration, release management, and testing. Automates patches, configurations, scripts, and application testing using Ansible and scripting languages. Maintains release plans, CI/CD pipelines, virtualized and on-premises environments, cloud operations, and DevOps workflows. Documents procedures, trains users, and supports classified environments and SIPRNet access. Requires a bachelor’s degree, 1–2 years of relevant experience, U.S. citizenship, and an active Secret clearance.

Leads automation and engineering projects from concept through implementation in a manufacturing environment. Designs, implements, troubleshoots, and optimizes automated systems involving PLCs, VFDs, HMIs, sensors, robotics, and mechanical, electrical, pneumatic, and hydraulic equipment. Manages project scope, schedules, budgets, documentation, commissioning, and cross-functional coordination while driving safety, quality, productivity, uptime, and continuous improvement.

Leads the design and implementation of Python-based test automation for data quality, ETL/ELT validation, data migrations, file integrations, database validation, and large-scale data testing. Builds reusable frameworks, validates data across Snowflake, SQL Server, and Oracle, mentors QA engineers, integrates testing into CI/CD, and partners with engineering, product, and business stakeholders.

Lead reliability and observability initiatives across enterprise applications. Implement monitoring (Splunk, Grafana, Dynatrace, ITSI), define SLIs/SLOs, drive incident response and RCA, build automation and AI-assisted self-healing, partner with engineering/cloud/security for resiliency and performance.