Responsibilities:
1. Lead Complex Implementations: Personally design, develop, and deliver the most challenging and high-impact automation projects, setting a benchmark for technical excellence.
2. Mentor and Guide Engineers: Act as a technical leader and mentor for other automation engineers, providing guidance through code reviews, pair programming, and sharing expert knowledge.
3. Champion Best Practices: Drive the adoption and refinement of development standards, design patterns, and best practices within the team, ensuring consistency and quality in all solutions.
4. Act as a Final Escalation Point: Serve as the ultimate technical authority for troubleshooting and resolving the most difficult production issues and system-wide challenges.
5. Technical Design and Review: Lead technical design sessions and peer reviews for complex automation workflows, ensuring solutions are scalable, resilient, and maintainable.
6. Contribute to Strategy: Provide critical, hands-on feedback to the Process Automation Architect on tooling, platform capabilities, and potential new technologies to influence the long-term strategy.
7. Optimise the Ecosystem: Proactively identify and lead initiatives to refactor, optimize, and improve the overall health and performance of the existing automation portfolio.
What You Need to Succeed (minimum qualifications):
8. Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field preferred.
9. Hands-On Experience: Proven track record in developing, deploying, and maintaining complex automation solutions at enterprise scale.
10. Tooling Expertise: Deep experience building automation with bots, workflows, and integrations using modern programmatic methods (, APIs).
11. Programming Skills: Proficient in scripting/programming languages like JavaScript, TypeScript, Python, PowerShell, or Bash.
12. Cloud Proficiency: Practical experience with Microsoft Azure, Google Cloud Platform, and their automation services (, Azure Logic Apps).
13. DevSecOps: Knowledge of CI/CD, Git SCM, containerization (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).
14. System-Level Thinking: Skilled at designing solutions with complex integrations across multiple systems using APIs and other methods.
15. Model Context Protocol: Leadership in frameworks enabling AI integration with external tools and data sources.
16. Technical Leadership: Experienced in mentoring engineers, leading projects, and serving as a technical expert.
17. Architectural Acumen: Ability to translate architectural designs into detailed technical plans and code.
18. Advanced Troubleshooting: Strong diagnostic skills for resolving complex, multi-system issues.
19. Problem-Solving: Proven ability to deliver practical, effective solutions to complex business challenges.
20. Industry Knowledge: Solid understanding of life sciences, regulatory compliance, and machine learning applications.
21. Communication: Effective verbal and written skills for collaboration within technical teams.
Additional Information:
22. Travel:0-10%
23. Location: Hook, UK - Hybrid Work Environment