Automation Engineer

Job Description

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. This role will be fully remote compensating $50-65/hr.

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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

· 3+ 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.

· Excellent communication and stakeholder management skills

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