Automation Team Lead managing all on - site industrial controls systems at Zoetis. Focused on compliance and efficiency in automation for pharmaceutical standards.
About the role
- Cross-functional R&D Automation Engineer combining software development, automation, and systems integration at Game Lounge. Collaborating on automation initiatives and technical integrations with AI models.
Responsibilities
- Collaborate with the Head of AI to design, build, and prototype automation frameworks that integrate with AI models and internal tools.
- Lead POC (Proof of Concept) projects focused on streamlining operations, adopting new technologies, and validating innovative automation opportunities.
- Research and evaluate emerging technologies in AI, DevOps, and system integrations to enhance business efficiency and technical performance.
- Maintain documentation of R&D outcomes, contributing to internal knowledge sharing and technical playbooks.
- Develop automation scripts, tools, and APIs that connect systems across business units, using Python, Node.js, or similar high-level languages.
- Build and maintain CI/CD pipelines for automated testing, build deployment, and workflow orchestration.
- Implement data flow automation between AI tools, internal systems, and IT infrastructure.
- Integrate automation bots and event-based triggers to improve process speed, accuracy, and scalability.
- Partner with the IT team to integrate APIs, automation agents, and connectors between internal systems, monitoring platforms, and AI applications.
- Support incident resolution by developing diagnostic automation tools for faster root cause identification.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or related technical fields.
- 3+ years of experience in software or automation development.
- Strong coding skills in languages such as Python, Go, or JavaScript, with an understanding of AI-driven automation frameworks.
- Experience integrating with cloud APIs, DevOps pipelines, or internal business systems.
- Familiarity with AI/ML workflows, RESTful APIs, and data pipeline orchestration.
- Strong understanding of GitOps, containerization, and CI/CD best practices.
- Excellent problem-solving mindset, with a balance between research curiosity and practical delivery.
- Previous experience in R&D or innovation-focused teams is a plus.
Benefits
- Tech Expo Attendance Opportunities
- Team Events and Hackathons
- Annual Performance Bonus
- Training and Development Opportunities
- Exciting company events throughout the year
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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