Automation Engineer II

Love's Travel Stops & Country Stores•Oklahoma City, OK

8d•Hybrid

About The Position

Love's IT HR & Culture Services Department is seeking a skilled Automation Engineer II to design, develop, test, and maintain advanced automation and QA test automation solutions that enhance HR processes, improve release readiness, and broaden employee and manager self-service capabilities. This role leverages AI-enabled capabilities—such as intelligent automation, pattern recognition, and conversational tools—to reduce manual effort, streamline workflows, and improve service efficiency across HR operations. The Automation Engineer II applies data-driven insights and AI-supported tooling to enhance issue resolution, improve decision-making, and drive continuous improvement. Operating with limited supervision, this role owns delivery from solution design through production support and contributes to automation strategy and quality engineering within the HR IT team. The Automation Engineer II collaborates with HR, IT, and business stakeholders to translate complex requirements into scalable, secure, and sustainable solutions across the HR application ecosystem, including SAP SuccessFactors and integrated platforms. This position plays a key role in improving service delivery, enabling reliable and repeatable release management, and enhancing the employee and manager experience, while equipping Level 1 support with the tools, knowledge, and automation needed to resolve more requests without escalation.

Requirements

Bachelor’s degree in Information Technology, Computer Science, Engineering, MIS, or a related field, or equivalent relevant experience.
4–6 years of experience designing, developing, and implementing automation solutions in an enterprise environment.
Demonstrated ability to deliver automation solutions with limited supervision.
Hands-on experience with workflow automation, system integrations, scripting, or low-code/no-code platforms.
Hands-on experience building and maintaining automated test suites and supporting regression testing as part of release management (e.g., UI and/or API test automation, test data management, and defect triage).
Experience working with HR systems such as SAP SuccessFactors or comparable enterprise HR platforms.
Strong analytical, problem-solving, and systems-thinking skills.
Proven ability to collaborate effectively with cross-functional business and technical stakeholders.
Strong written and verbal communication skills, with the ability to explain technical solutions to non-technical audiences.
Experience implementing automation or AI solutions within HR, shared services, or employee service delivery environments.
Practical experience with AI concepts such as machine learning, natural language processing, intelligent assistants, or decision automation.
Experience with RPA platforms, API‑driven integrations, or workflow orchestration tools.
Knowledge of data security, privacy, and compliance considerations in HR technology environments.
Experience supporting large, distributed, or high‑transaction enterprise environments.
Workflow automation and orchestration, including workflow design, exception handling, approvals, and scheduling.
Systems integrations and APIs, including REST/SOAP concepts, authentication, data mapping, and error handling.
Scripting and data handling for automation (e.g., Python, PowerShell, JavaScript; JSON; basic SQL concepts).
Quality engineering and release management, including test automation strategy, test case design, automated regression testing, versioning, peer review, release pipelines (automated build/test/deploy processes), and release readiness.
Monitoring and reliability practices, including logging, alerting, incident triage, and preventative remediation.
Service management and analytics (preferred), including ITSM/ticketing workflows (e.g., ServiceNow, Jira Service Management, etc.), trend analysis, knowledge management, and contact-deflection or self-service measurement.
HR systems context (e.g., SAP SuccessFactors or similar), including role‑based access and data sensitivity considerations.
AI‑enabled automation (preferred), such as intelligent routing, decision automation, content generation, or service optimization.
Strong verbal, written, and interpersonal communication skills.
Analytical mindset with strong problem‑solving capabilities.
Ability to work independently while collaborating effectively with team members.
High initiative and self-starter mindset; proactively identify opportunities and takes ownership through completion.
Ability to drive for results, consistently meet deadlines, and follow through on commitments.
Ability to manage competing priorities in a fast‑paced environment.
Strong listening skills and openness to feedback.
Willingness and ability to learn new tools, technologies, and techniques.
Ability to collaborate effectively with diverse business and technical stakeholders.

Responsibilities

Analyze complex HR processes to identify opportunities for automation, standardization, and self‑service enablement.
Analyze HR service desk ticket trends and recurring contact drivers (e.g., in ITSM/ticketing platforms such as ServiceNow, Jira Service Management, etc.); partner with service delivery to improve categorization, identify root causes, and prioritize automations and self-service enhancements that prevent incidents, deflect contacts, and reduce escalation volume.
Design, develop, and deploy end‑to‑end automation solutions using workflow tools, low‑code/no‑code platforms, scripting, APIs, and system integrations.
Build and implement AI-enabled capabilities (e.g., intelligent routing, decision support, content generation, predictive insights) to improve HR efficiency and service quality, in alignment with enterprise AI governance, security, and HR data privacy standards.
Own the full solution lifecycle, including design, configuration, test strategy, automated and manual testing, deployment, monitoring, and ongoing optimization.
Design and maintain automated test suites (e.g., regression, smoke, integration) for HR technology workflows and integrations; integrate automated testing into release management and deployment processes.
Evaluate, pilot, and implement self-service channels based on highest-volume needs (e.g., HR portal/knowledge base, guided forms, chat/virtual assistant, in-app guidance), and define success measures such as contact deflection, containment rate, cycle time reduction, and customer satisfaction.
Deliver scalable employee and manager self‑service experiences that reduce transactional workload and improve user experience.
Partner with HR subject matter experts, business analysts, and technical teams to translate requirements into robust automation and AI solutions.
Monitor and support production automations; troubleshoot issues, perform root‑cause analysis, and implement preventative improvements.
Ensure automation solutions adhere to enterprise architecture, security, and data privacy standards.
Create and maintain technical and functional documentation to support operations, supportability, and knowledge transfer.
Develop support-ready deliverables (e.g., knowledge articles, decision trees, runbooks, and troubleshooting guides) and partner with Level 1 support to expand their resolution capabilities and reduce escalations to the HR technology team.
Provide technical guidance and best practices related to automation and AI within the HR IT team.
Evaluate emerging automation and AI technologies and recommend solutions aligned with HR and enterprise technology strategy.
Contribute to continuous improvement initiatives and HR technology modernization efforts.