Remote Technical Delivery Engineer - AI-Driven Cloud Integrations

ADP; Atlanta (GA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Oversight is seeking an experienced Technical Delivery Engineer to join the Onboarding organization. This engineer will support customer implementations, troubleshoot production issues, analyze cloud data pipelines, and help operationalize new platform capabilities.

The ideal candidate thrives in fast-paced environments, works independently, embraces AI-assisted engineering, and can balance multiple customer implementations while delivering high-quality solutions.

Qualifications

• 3+ years in software implementation or similar customer-facing role.
• Advanced SQL skills to debug and analyze complex queries.
• Experience with AWS services and Databricks.

Responsibilities

• Support multiple concurrent customer implementation and production support engagements.
• Investigate complex customer issues across AWS, Databricks, PostgreSQL, SQL, and application services.
• Analyze, debug, and optimize SQL queries and data processing workflows.
• Collaborate with Forward Deployed Engineers to operationalize customer-specific solutions and transition them into standard product capabilities.
• Configure, validate, and troubleshoot cloud-based data pipelines and integrations.
• Use AI tools to accelerate troubleshooting, documentation, scripting, and automation.
• Communicate technical findings clearly to internal teams and customer stakeholders.
• Continuously improve implementation processes, documentation, tooling, and operational efficiency.
• Balance priorities across multiple customers while maintaining high quality and responsiveness.

Skills

3+ years exp

Advanced SQL

Analytical troubleshooting

Excellent communication

AI tooling adoption

Tools

AWS

Databricks

PostgreSQL

YAML

Python scripting

Git/Bitbucket

AI agents/workflows

Job description

Oversight is seeking an experienced Technical Delivery Engineer to join the Onboarding organization. This engineer will support customer implementations, troubleshoot production issues, analyze cloud data pipelines, and help operationalize new platform capabilities.

The ideal candidate thrives in fast-paced environments, works independently, embraces AI-assisted engineering, and can balance multiple customer implementations while delivering high-quality solutions.