[8PV] Automation Engineer (Python + Power Automate)

Software Mind Americas

2d•Remote

About The Position

We are seeking an experienced Automation Engineer to join our growing engineering team and help drive operational efficiency through intelligent automation solutions. In this role, you will design, build, maintain, and optimize business-critical automations across a diverse technology ecosystem. The ideal candidate has strong Python skills, hands-on experience with Power Automate, and a passion for eliminating manual processes through scalable automation solutions. This position offers an opportunity to work directly with business stakeholders, modernize legacy automation platforms, and influence the future direction of our automation strategy while leveraging AI-assisted development practices and cloud-native technologies. As an Automation Engineer, you will be responsible for developing and supporting automation solutions that streamline business operations and improve reliability across multiple systems and platforms. Approximately 70% of your time will focus on designing and building new Python-based automations, including API integrations, data processing workflows, scheduled jobs, and process optimization initiatives. The remaining 30% will involve supporting and modernizing the existing Power Automate environment, ensuring business-critical workflows remain operational while identifying opportunities for migration to more scalable solutions. You will own the full lifecycle of the automation solutions you build, from development and deployment to monitoring, troubleshooting, and continuous improvement.

Requirements

+90% English, written and oral (C1 level), with excellent communication skills. You will work directly with non-technical process owners who need to understand what an automation does and what to do when it stops.
Python proficiency: clean scripting, packaging, error handling, structured logging, and enough testing to trust a job running unattended at 2 a.m.
Power Automate strength across cloud and desktop flows: able to read, debug, and repair complex unattended flows built by someone else, plus the platform administration around them. You do not need to love the platform. You do need to support it capably, including solo coverage when other developers are out.
3 to 5 years in automation engineering, RPA, or software engineering roles with automations shipped to production and operated afterward.
REST API integration experience, including authentication patterns and rate-limit handling.
SQL Server competence: comfortable writing T-SQL and authoring queries, tables, and stored procedures through a reviewed, versioned release process.
Working knowledge of Azure DevOps pipelines at minimum; Functions, Container Apps, or AKS exposure a plus.
Daily fluency with AI-assisted development. You should be able to describe, in concrete detail, how you structure work with an agentic coding tool: what you delegate, what you review, where it fails, and how you catch it. Demonstrated, current use of AI coding tools in real work. Candidates will be asked to describe their workflow in specifics; vague answers end the conversation.
PowerShell and Shell scripting for glue work on Windows and Linux hosts.
Production instincts: idempotent jobs, retries with backoff, alerting thresholds that page on real problems and stay quiet otherwise.

Nice To Haves

Functions, Container Apps, or AKS exposure a plus.

Responsibilities

Build new automations in Python: API integrations, data pipelines, scheduled jobs, and process replacements scoped with operating partners.
Maintain the existing Power Automate estate, both unattended cloud and desktop flows.
Triage failures, repair flows, and keep unattended runs healthy on the bot-server farm.
Operate the Power Platform space around them: environments, solutions, connection references, and pipeline-managed deployments.
Migrate Power Automate flows to Python where the economics favor it.
Retire flows rather than patching them indefinitely.
Integrate systems over REST APIs.
Handle JSON and XML transformation, authentication (OAuth, service principals), and error handling that survives flaky endpoints.
Author SQL queries, tables, and stored procedures that support automations.
Operate what you build. Instrument jobs with logging, monitoring, and alerting so failures surface before the business notices them.
Write runbooks.
Improve how automations run. Today they run as scheduled jobs on VMs. Help evaluate and move toward containerized or Azure-native execution (Functions, Container Apps) where it reduces operational load.
Use AI coding tools as a core part of daily development, within company governance and review standards.
Document what you build so the next engineer or an operating partner can understand and extend it.