Forward Deployed Engineer

Overview

Build and deploy production solutions for strategic enterprise customers after the sale. Own complex engineering work across data platforms, distributed systems, Kubernetes, integrations, migrations, and AI-enabled workflows.

What you'll do

• Translate customer goals into technical designs, milestones, and working software.
• Build and deploy integrations, data pipelines, platform extensions, migration utilities, and AI workflows.
• Integrate the platform with enterprise identity, security, governance, data, storage, compute, and observability systems.
• Deploy and troubleshoot distributed systems on Kubernetes.
• Diagnose issues across code, data pipelines, networking, IAM/RBAC, infrastructure, and storage.
• Lead technical workstreams through deployment issues and root-cause resolution.
• Turn field feedback into reusable automation, product improvements, and delivery playbooks.

What you'll need

• 6+ years of professional software, platform, data, or infrastructure engineering experience.
• Production proficiency in Python, Java, Scala, Go, or another backend language.
• Experience with modern data infrastructure and distributed systems.
• Strong Kubernetes and container experience.
• Working knowledge of AWS, Azure, or GCP and infrastructure as code such as Terraform.
• Experience with enterprise security, compliance, networking, change management, and multiple stakeholders.
• Willingness to travel to customer sites as engagements require.

Nice to have

• Experience with regulated industries, hybrid-cloud deployments, legacy data modernization, or production AI applications.
• Experience converting bespoke customer work into reusable software, automation, architectures, or product features.

Details

• Location: Atlanta or remote.
• Post-sales, customer-facing engineering role.