Intermediate AI/AWS Support Engineer

Location: Remote in Mexico, Colombia, or Chile

Company

hirify.global provides engineering and technology services, with this role supporting NextEra Energy’s GSU ecosystem.

What you will do

• Provide L1/L2 operational support for Databricks jobs, workflows, data pipelines, Oracle API ingestion, AWS services, and critical data applications.
• Resolve incidents and service requests within SLAs, including approved job reruns, cluster restarts, configuration updates, and known data issue remediation.
• Troubleshoot front-end, API, backend, database, connectivity, and integration problems using logs, traces, Spark UI, browser developer tools, monitoring, and system diagnostics.
• Manage Databricks access and permissions across workspaces, Unity Catalog, groups, and service principals.
• Collaborate with stakeholders and L3 teams on end-to-end troubleshooting, escalation, fix validation, root cause analysis, service reviews, and continuous improvement.
• Develop automation scripts, operational tooling, runbooks, knowledge articles, and known-error documentation while using GitHub Copilot and Cursor for AI-assisted support work.

Requirements

• 3–5 years of experience in cloud operations, application or data platform support, SRE, or DevOps, with Databricks and AWS as the main platforms.
• Hands-on experience with Databricks jobs and Workflows, clusters, SQL warehouses, Unity Catalog, Spark logs, Spark UI, and the bronze, silver, and gold medallion pattern.
• Strong SQL knowledge and Python experience for debugging and scripting.
• Experience with AWS Lambda, DynamoDB, Cognito, CloudWatch, IAM, and S3.
• Practical integration and API troubleshooting experience, including logs, traces, browser developer tools, and React front-end interaction with backend APIs.
• Working knowledge of GenAI and LLM applications, including prompts, RAG, tool or function calling, agents, production failure patterns, and AI-assisted coding or operations tools.
• Experience with ITIL-aligned incident and request management, priority matrices, SLAs, escalation paths, and root cause analysis.
• Clear written English and a service-minded approach for tickets, runbooks, end-user communication, and white-glove business-user support.

Nice to have

• Exposure to Databricks Apps, Lakebase, Delta Live Tables or Lakeflow, Databricks Asset Bundles, GitHub Actions, Terraform, ServiceNow, MCP-based integrations, Semantic Kernel, LangChain, LLM observability, Databricks AI features, SRE practices, or regulated industries.

Culture & Benefits

• Remote work arrangement limited to Mexico, Colombia, or Chile.
• Service-focused support for business users and collaboration with internal, external, and L3 product teams.
• Equal opportunity employment regardless of legally protected characteristics.

Hiring process

• Submit an application through the hirify.global application form; qualified applicants will be contacted.