Accountabilities:

Lead the development and delivery of technical solutions from initial discovery and prototyping through implementation, deployment, documentation, adoption, and ongoing maintenance.
Identify recurring, high-volume, and manual technical workflows across revenue technology and professional services teams, transforming them into reusable tools and scalable automated processes.
Establish engineering standards and reusable automation patterns to reduce one-off scripts and ensure solutions remain secure, reliable, maintainable, and supportable.
Monitor, troubleshoot, and maintain production automations and integrations, continuously improving reliability, observability, error handling, and performance.
Evaluate emerging technologies and AI capabilities through hands-on experimentation, recommending which solutions should be adopted, standardized, or avoided.
Collaborate directly with stakeholders and end users to gather technical requirements, translate complex or unclear workflows into actionable solutions, and prioritize opportunities based on business impact, efficiency gains, and risk.
Build and maintain internal tools, administrative utilities, and platform automation supporting cloud environments, business systems, and internal platforms, including customer setups, environment preparation, reporting, and cross-system workflows.
Plan and execute large-scale technical changes associated with major platform initiatives and new capabilities, ensuring repeatability, validation, and risk mitigation.
Support advanced laboratory automation and complex customer technical requirements in partnership with solution consulting and professional services teams.
Develop, organize, and maintain reusable lifecycle actions, activity templates, and scoring scripts within the platform's shared script library.
Improve shared AI tooling, skills, plugins, and integrations across platforms such as Microsoft Copilot, ClickUp Brain, and Anthropic Claude.
Drive practical AI adoption by identifying opportunities and developing AI-powered workflows and agents for research, discovery, reporting, documentation, and team handoffs.
Establish and maintain responsible AI usage guidelines, including approved use cases, review processes, documentation standards, and clear ownership responsibilities.
Translate recurring operational challenges and customer feedback into actionable requirements for product and infrastructure teams, identifying when automation is appropriate and when broader platform improvements are needed.
Collaborate with product, professional services, infrastructure, and AI-focused teams to share technical insights, encourage solution reuse, and align development priorities.
Develop documentation, training materials, and ownership frameworks to ensure successful implementation, adoption, and long-term maintenance of technical solutions.
Track and communicate the impact of automation and internal tooling through usage metrics, adoption rates, and measurable time and cost savings.
Identify emerging operational bottlenecks and scalability challenges early, proposing proactive technical improvements.
Contribute to strategic cross-functional initiatives while promoting organizational values through positive and professional interactions with internal and external stakeholders.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related discipline, or equivalent relevant professional experience.
At least 5 years of professional experience in automation engineering, DevOps, platform engineering, infrastructure engineering, solutions engineering, or internal tools development.
Strong scripting and programming skills in PowerShell and Python. Familiarity with Bash, JavaScript, or TypeScript is an advantage.
Proven experience designing, developing, and maintaining production-grade automation solutions or internal tools, from initial concept through ongoing operational support.
Hands-on experience with CI/CD pipelines, automated testing, logging, monitoring, and troubleshooting production automation.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

#LI-CL1