Senior Automation Engineer

Accountabilities

• • Design, develop, test, and deploy Python-based automations and agentic workflows for simple-to-medium complexity business processes, taking solutions from requirements through production.
  • Build and integrate LLM-based agents and orchestration or tooling frameworks, selecting an appropriate level of agentic capability for each business task.
  • Deploy and operate automation solutions on Google Cloud Platform, integrating applications with APIs, databases, and enterprise systems as required.
  • Develop automated unit and integration tests and integrate them into CI/CD pipelines to support reliable, repeatable deployments.
  • Diagnose technical defects, troubleshoot production issues, optimize performance, and stabilize automations before transitioning them to support teams.
  • Occasionally evaluate existing RPA or UiPath automations and convert suitable processes into Python-based agentic solutions.
  • Provide technical guidance to junior and mid-level engineers, conduct peer code reviews, and promote coding standards, maintainability, and reusable solutions.
  • Represent the technical solution in client meetings, clearly explaining architecture, trade-offs, risks, and implementation approaches to both technical and non-technical stakeholders.
  • Collaborate with data engineers, DevOps professionals, product managers, business analysts, and subject-matter experts to prioritize and deliver automation initiatives.
  • Stay current with developments in agentic AI and intelligent automation and contribute to improving delivery methodologies, technical practices, and service offerings.

  Requirements

  • 5+ years of hands-on Python software engineering experience, including production services, APIs, and data pipelines.
  • Practical experience building or integrating agentic AI automations, such as LLM-based agents and orchestration frameworks, for business processes of simple-to-medium complexity.
  • Strong analytical and solution-design abilities, with the capacity to translate business requirements into clean, efficient, and maintainable Python or agentic solutions.
  • Experience with Python data and engineering libraries such as Pandas and NumPy, combined with strong testing and software development practices.
  • Proficiency with containerization technologies such as Docker and Kubernetes and experience working with CI/CD pipelines.
  • Hands-on exposure to Google Cloud Platform, including technologies such as Compute Engine, Cloud Run, Cloud Storage, or equivalent services; deep GCP expertise is not required.
  • Experience deploying and managing Python applications and agentic solutions using Kubernetes, including GKE and Google App Engine.
  • Strong experience working within Agile/Scrum enterprise environments alongside business analysts, developers, and business stakeholders.
  • Excellent communication and stakeholder management skills, with the ability to explain technical challenges, solutions, and trade-offs clearly.
  • Ability to work collaboratively while demonstrating ownership, problem-solving ability, and a continuous-learning mindset.
  • Experience with UiPath, Automation Anywhere, Power Automate, or other RPA platforms is advantageous, particularly for occasional RPA-to-agentic conversions.
  • Exposure to UiPath AI Center, Action Center, agentic AI solution design, or an Advanced RPA Developer certification is a plus.
  • Consulting or client-facing delivery experience and familiarity with AWS or Azure are additional advantages.
  • Interest in adjacent technologies such as process mining, low-code platforms, and conversational AI is valued.

  Benefits

  • 100% payroll with statutory benefits.
  • Work-from-home arrangement.
  • 30-day Christmas bonus.
  • 16 vacation days.
  • One additional economic/personal day per year.
  • Grocery coupons.
  • Savings fund.
  • Home office stipend.
  • Major medical insurance.
  • Life insurance.
  • Training and professional certifications.
  • Tailored development plan with career coaching.
  • Regular feedback and opportunities to contribute new ideas.
  • International career and project opportunities.
  • Structured training to deepen expertise in intelligent automation.
  • Opportunity to work on complex automation challenges in an international and multicultural environment.
  • Collaboration with diverse global teams across different projects.