A part of global technology organization Tieto, MentorMate creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. With mature and established practices in enterprise web and mobile development, quality engineering, technical architecture, human-centered design, cloud, DevOps, data, and analytics, the company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
We are looking for a Senior DevOps & AI Automation Engineer to drive automation, improve operational efficiency, and accelerate study delivery. This role combines DevOps expertise, hands-on scripting, and practical use of AI tools to build scalable, production-ready solutions that can be adopted and maintained across the wider team. Strong UTS platform knowledge and experience delivering reliable, business-focused automation solutions are key to success in this position.
Key Responsibilities
• Build and maintain scripts, tools, and automated workflows to reduce manual effort across study setup, configuration, and handover activities
• Configure and optimize the UTS platform, applying subject matter expertise to standardize and streamline study delivery processes
• Own the full lifecycle of internal automation solutions, including CI/CD, deployment, monitoring, support, and ongoing maintenance
• Identify opportunities to apply AI, LLMs, and Generative AI to improve operational efficiency, including document generation, data extraction, and quality validation
• Integrate automation and AI capabilities into business processes through low-code and no-code platforms to enable wider adoption across teams
• Develop and maintain data pipelines for extraction, transformation, and delivery, ensuring data quality, consistency, and accurate mapping
• Create reusable assets, templates, and scalable processes that improve efficiency, reduce rework, and shorten delivery timelines
• Lead continuous improvement initiatives by standardizing technical processes, rollout practices, and handover models across study delivery
• Drive coding best practices by improving code quality, reducing unnecessary complexity, and promoting maintainable and consistent development standards
• Provide technical leadership, mentor team members, and support the adoption of modern engineering, automation, and AI practices across the team
Required Experience & Qualifications
• 5+ years of experience in DevOps, software engineering, technical delivery, or a similar role focused on scripting and automation
• Strong Python skills with hands-on experience building scripts, tools, and automated workflows
• Experience with automation platforms such as Power Automate, Logic Apps, or similar tools
• Good knowledge of CI/CD pipelines and tools such as GitHub Actions, Azure DevOps, or equivalent
• Hands-on experience with Docker, Kubernetes, AWS, or Azure
• Experience with Infrastructure as Code tools such as Terraform, AWS CDK, or similar
• Knowledge of data processing and integrations, including APIs, Excel, SharePoint, and tools such as Pandas
• Practical experience applying AI, LLMs, or Generative AI solutions for automation or productivity use cases
• Familiarity with platforms such as Azure OpenAI, AWS Bedrock, Claude Code, or similar AI tools
• Strong problem-solving, communication, and collaboration skills
• Experience with the UTS (Unified Trial Solution) platform is highly desirable
• Effective communicator and team player with a proactive, solution-oriented and growth mindset