Forward Deployed Infrastructure Engineer (FDIE)

European Recruitment BV; United States; On-site; USD 80,000 - 110,000; Full time

Job summary

European Recruitment BV is seeking an Infrastructure Engineer in the United States. This role involves leading the deployment of Reducto into enterprise environments, requiring solid experience with Kubernetes, networking, and cloud infrastructure. Excellent communication is essential as you'll partner with customer IT teams.

The position is suitable for both mid-career and junior engineers, with a focus on turning complex deployments into repeatable processes.

Qualifications

• 2–5+ years of experience in infrastructure engineering.
• Strong technical skills in Kubernetes, cloud infrastructure, and networking.
• Ability to communicate effectively with technical and non-technical stakeholders.

Responsibilities

• Leading deployment of Reducto into customer environments.
• Working with enterprise customer teams and visiting their offices when needed.
• Debugging and resolving infrastructure issues.
• Building repeatable deployment patterns for monitoring and automation.
• Understanding ML model deployment on customer infrastructure.

Skills

Kubernetes

Cloud Infrastructure

Networking

Excellent Communication Skills

Job description

We are looking for an Infrastructure Engineer with 2–5+ years of experience to own end-to-end deployment of Reducto into enterprise customer environments – from VPC to bare metal on-prem. You'll be the engineer who makes complex deployments work, partnering directly with customer IT, security, and platform teams. This role requires strong technical chops in Kubernetes, networking, and cloud infrastructure, combined with excellent communication skills – you'll be in live channels and on calls with customer engineers and senior leaders. We have a team lead already in place and are looking for both a mid-career engineer and a more junior hire to scale the team.

What you will be doing

• Leading end-to-end deployment of Reducto into customer environments – planning, configuration, testing, and rollout across VPC and on-prem setups
• Working directly with enterprise customer teams (e.g., Harvey) – sometimes visiting their offices, communicating in shared channels with their engineers and senior leaders
• Debugging and resolving customer-specific infrastructure issues like K8s misconfigurations, cloud IAM edge cases, and networking problems
• Building monitoring, telemetry, and automation – turning one-off customer work into repeatable deployment patterns that scale across future deployments
• Understanding the hardware powering Reducto's ML models to successfully deploy them onto customer-controlled infrastructure