Senior Automation Engineer

We’re looking for a Senior Automation Engineer to design, build, and deploy Python-based agentic automations for simple-to-medium complexity business tasks, end-to-end from design through testing and deployment. Some of this runs on GCP, so hands-on exposure to the platform is useful, though deep cloud expertise isn’t the bar — we care most about strong Python and agentic solution design skills. From time to time you’ll also help convert an existing RPA automation into a Python-based agentic solution, but that’s a small slice of the work — the core of the role is building new automations. 

Key Responsibilities 

• Design, develop, and deploy new Python-based automations and agentic workflows for simple-to-medium complexity business tasks, end-to-end from requirements through testing and deployment. 

• Build and integrate agentic AI components (LLM-based agents, orchestration/tooling frameworks) into automations, choosing the right level of “agentic-ness” for the task at hand. 

• Deploy and operate automations on Google Cloud Platform (GCP) where needed, integrating with APIs, databases, and enterprise systems. 

• Write and execute automated unit and integration tests, and run these through CI/CD pipelines to ensure reliable deployments and mitigate production risk. 

• Diagnose and resolve technical defects in your automations, optimizing performance and stabilizing processes before handoff to support teams. 

• On occasion, assess an existing RPA/UiPath automation and convert it into a Python-based agentic solution — a minor, occasional part of the role rather than the main focus. 

• Act as a technical guide for junior and mid-level engineers within your pod; run peer code reviews to enforce coding standards and reusability. 

• Serve as a technical representative in client meetings — translating technical approach, trade-offs, and risk into language accessible to non-technical stakeholders. 

• Collaborate with cross-functional stakeholders — data engineers, DevOps, product managers, and business analysts — to prioritize and deliver the automation roadmap. 

• Stay current on industry trends in agentic AI and automation, and continuously improve our delivery methodology and service offerings. 

Required Qualifications  

• 5+ years of hands-on Python software engineering experience, including building production services, APIs, and data pipelines. 

• Experience building or integrating agentic AI automations (e.g. LLM-based agents, orchestration frameworks) for simple-to-medium complexity business tasks. 

• Strong analytical and solution design skills — able to take a business process description and design a clean, efficient Python/agentic automation for it. 

• Experience with common Python data/engineering libraries (e.g. Pandas, NumPy) and building well-tested, maintainable code. 

• Proficiency with containerization (Docker/Kubernetes) and CI/CD pipelines. 

• Some hands-on exposure to Google Cloud Platform (GCP) — e.g. Compute Engine, Cloud Run, Cloud Storage, or similar. Deep GCP expertise is not required; we're looking for enough familiarity to work in it and pick up more as needed. 

• Strong track record operating in Agile/Scrum frameworks within enterprise engagements, working alongside BAs, developers, and business SMEs. 

• Excellent communication and stakeholder management skills — able to articulate technical challenges and solutions to both technical peers and project leadership. 

• Cloud Deployment Experience: Deploy and manage Python-based applications and agentic solutions using Kubernetes, including GKE, and Google App Engine.  

Nice to Have 

• Hands-on experience with UiPath (Studio, Orchestrator, REFramework) or other RPA platforms (Automation Anywhere, Power Automate) — useful for the occasional RPA-to-agentic conversion. 

• Exposure to UiPath AI Center / Action Center, Agentic AI solution design, or UiPath Advanced RPA Developer certification. 

• Exposure to consulting environments or client-facing delivery roles. 

• Familiarity with additional cloud platforms (AWS, Azure) beyond GCP. 

• Interest in upskilling in adjacent technologies such as process mining (Celonis, UiPath Process Mining), low-code platforms (Power Apps), or conversational AI (Cognigy, Druid). 

What we offer

· Tailored development plan with career coaching

· Regular feedback – we value your opinion, and we appreciate new ideas

· International career and project opportunities

· Deepen your working knowledge of intelligent automation through our structured training courses

· Immerse yourself in an exciting, positive, and creative atmosphere and generate novel solutions to some of our client's most complex challenges

· Work in different international and cross-cultural teams for each project

Benefits México

· 100% payroll + benefits by law

· Work from home

· 30-day Christmas bonus

· 16 vacation days

· 1 economic day a year

· Grocery coupons

· Savings fund

· Home office stipend

· Major medical insurance

· Life insurance

· Training & certifications