Automation Engineer
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Before you apply
LocationOFF USA: GA Atlanta HQ (5660 New Northside Drive), United States
Typefull-time
SeniorityMid
Experience3+ yrs
Company size10,000+ people
First seenOct 17, 2026 · 2w ago
Verified live1h ago
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Computer Science or related field
At least 3 years of relevant professional experience
Deep expertise in Python
Deep expertise in Ansible
Deep expertise in n8n
Experience with containerization (Docker) and orchestration (Kubernetes)
Familiarity with cloud storage platforms (AWS S3, Azure Blob, GCP Storage)
Background in workflow engines such as Rundeck
Experience with Infrastructure-as-Code for storage automation
Comfortable with storage and backup engineering
Experience with agent frameworks, embeddings, or vector databases is a plus
Skills
Python
Ansible
n8n
REST API
Git
Jenkins
GitHub Actions
GitLab CI
pytest
Docker
Kubernetes
Terraform
SQL
Grafana
Tableau
AWS S3
Azure Blob
GCP Storage
Rundeck
Job Purpose
We are seeking a highly technical Automation Engineer with deep expertise in Python, Ansible, and n8n, capable of architecting automation at scale across enterprise storage and backup environments. The ideal candidate blends systems engineering with software engineering, comfortable writing production-grade automation, integrating REST APIs, deploying Infrastructure-as-Code (IaC), and building orchestrated workflows to eliminate manual operations.
This role requires someone who can think like a developer, automate like a DevOps engineer, and is comfortable with storage and backup engineering.
Responsibilities
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Python Automation & Engineering
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Design and develop enterprise-grade Python automation frameworks, modules, and reusable libraries for storage and backup provisioning, lifecycle management, telemetry ingestion, and API integrations.
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Integrate Python with REST APIs exposed by storage vendors, monitoring tools, CMDBs, and internal services.
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Perform complex data analytics and transformation logic to drive intelligent automation decisions.
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Ansible Automation
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Architect and maintain Ansible automation for configuration management, provisioning, compliance, and change execution.
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Build Ansible collections, modules, roles, dynamic inventories, and reusable playbooks specifically for enterprise storage and SAN infrastructures.
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Integrate Ansible with CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI).
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Apply Ansible best practices such as idempotency, YAML structuring, and Ansible-lint compliance.
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N8N Workflow Orchestration
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Architect advanced n8n automation pipelines that connect APIs, databases, webhooks, and storage platforms.
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Build multi-step workflows for alert enrichment, automated responses, ticketing integration, and data orchestration.
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Implement error-handling, retries, conditional branches, and webhook-driven flows.
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Integrate n8n with Python scripts, REST endpoints, and event-driven triggers.
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Optimize workflow performance, scalability, modularity, and maintainability.
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Automation & Infrastructure Engineering
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Build automation pipelines across provisioning, monitoring, compliance, reporting, and remediation workflows.
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Implement full lifecycle orchestration for block, file, and object storage platforms.
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Develop infrastructure-as-code for storage-related tasks where feasible (Ansible, Terraform, native vendor APIs).
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Automate operational tasks including host registration, zoning, data collection, capacity forecasting, and system health checks.
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Develop self-healing automation using event-driven triggers and AI-based decision engines.
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DevOps, Tooling, and Software Engineering
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Use Git, branching strategies, PR workflows, and code reviews to maintain clean, stable, production-ready automation repositories.
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Integrate automation components with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.).
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Build automated test harnesses for scripts, APIs, and workflows using pytest or similar frameworks.
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Maintain end-to-end observability using logging, metrics, dashboards, and alerting.
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AI and Intelligent Automation
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Integrate LLM-based tools to generate, validate, or optimize code and configuration.
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Build AI-assisted anomaly detection using log or telemetry data.
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Develop AI-augmented workflows in n8n or Python for intelligent alerting and decision-making.
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Experience with agent frameworks, embeddings, or vector databases is a plus.
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Data, Visualization & Analytics
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Strong SQL skills for automation involving databases or CMDBs.
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Experience with Grafana, Tableau, or similar tools to generate automated dashboards.
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Ability to create pipelines that continually ingest, normalize, and present storage telemetry data.
Knowledge and Experience
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Experience with containerization (Docker) and orchestration (Kubernetes).
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Bachelor ‘s degree in Computer Science or related field
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At least 3 years of relevant professional experience
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Familiarity with cloud storage platforms (AWS S3, Azure Blob, GCP Storage).
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Experience with Infrastructure-as-Code for storage automation.
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Background in workflow engines such as Rundeck.
Legal
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.