Erik Lund

Senior AI Infrastructure Engineer

Stockholm, Sweden · Europe/Stockholm (UTC+2) · 13 years of experience

Erik focuses on reliable, observable, and cost-efficient compute platforms for AI workloads.

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Why this profile fits

Reliable AI compute

Runs Kubernetes and GPU platforms with workload isolation, SLOs, capacity controls, and recovery procedures.

Infrastructure as code

Makes environments repeatable through reviewed modules, GitOps, policy checks, and controlled change.

Cost and capacity discipline

Connects utilization, latency, availability, and unit economics to practical scaling decisions.

Relevant toolkit

Kubernetes

Terraform

NVIDIA GPUs

PrometheusArgo CD

Delivery evidence

Selected work

Distributed Training Cluster

autonomous systems

Designed and delivered a AI compute platform focused on high-performance training clusters; reduced distributed training interruptions by 64% through topology-aware scheduling and recovery. The release included capacity controls, workload isolation, SLOs, disaster recovery, and unit-economics reporting.

GPU Failure Recovery Controller

autonomous systems operations

Built the supporting control and measurement layer for the primary system, covering review queues, regression checks, operational visibility, and a documented handoff to the owning team.

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Relevant experience

Career timeline

Senior AI Infrastructure Engineer

2022–Present

Devlyn client assignments · Remote

Led high-performance training clusters delivery for a autonomous systems team and reduced distributed training interruptions by 64% through topology-aware scheduling and recovery.

AI Infrastructure Engineer

2012–2021

autonomous systems product company (confidential) · Stockholm, Sweden

Built production systems in autonomous systems, with increasing ownership of reliability, testing, and stakeholder delivery.

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Skill depth

Show experience in context.

Competency shapeAssessment across the same six dimensions used for every profile.

Relevant experience by skill

Kubernetes13 years

Terraform12 years

NVIDIA GPUs11 years

Linux10 years

Prometheus13 years

Argo CD12 years

See the complete skill index

Languages

Frameworks

Tools

Platforms

Storage

Paradigms

Credentials

Certifications

NVIDIA-Certified Professional: AI Operations

NVIDIA · 2026 · Certified

AWS Certified DevOps Engineer – Professional

Amazon Web Services · 2026 · Certified

Communication

Languages

English

Fluent

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