DevOps Engineer

Bespoke Labs; Netherlands; Remote; EUR 46,738 - 81,791; Part time

Benefits offered by this job

Fully remote work

Flexible schedule

Job summary

An innovative AI research startup is looking for a Senior DevOps Engineer to design DevOps scenarios for next-gen AI training. Candidates should have 5-12 years of experience in DevOps and backend engineering. This is a fully remote position based in the Netherlands, offering competitive pay of $40 to $70 per hour. Ideal for experienced engineers looking for flexible, impactful work in advancing AI technologies. Join a high-performance team focused on real-world engineering challenges.

Qualifications

• 5–12 years of experience in DevOps and/or Backend Engineering.
• Experience with secure, offline/air-gapped deployments is a plus.
• Familiarity with at least five specific technologies.

Responsibilities

• Capture real DevOps + backend incidents and convert them into benchmark tasks.
• Contribute to secure, scalable, Kubernetes-native architectures.
• Work across CI/CD, observability, identity, infrastructure-as-code, and backend services.
• Collaborate with the team to build realistic engineering workflows.

Skills

DevOps experience

Backend Engineering experience

Secure deployments

Kubernetes-native architectures

Observability (Prometheus + Grafana)

Infrastructure-as-code

Tools

Terraform OSS

Keycloak

Job description

Senior DevOps Engineer (Freelance | Remote | Global)

BespokeLabs - Mountain View, California (VC-backed, founded by IIT & Ivy League leaders)

Type: Contract | Remote | 30–40 hrs/week | 8–16 weeks

Pay: $40–$70/hr

About Bespoke Labs

Bespoke Labs is a VC-backed applied AI research startup based in Mountain View, California. We build core infrastructure and reinforcement learning environments that directly train and evaluate intelligent agents—the systems behind AI, not just the tooling around it.

We focus on building the datasets and benchmarks that shape the future of AI. Our work includes OpenThoughts, one of the most widely used reasoning datasets (100K+ monthly downloads, 200+ models trained, 100+ citations), and Terminal Bench, a leading agentic coding benchmark referenced in Claude 4.5 and actively used by frontier AI labs.

About the Role

We're building a new AI training initiative that requires real-world engineering experience. You’ll help design and document authentic DevOps + backend scenarios based on incidents you’ve handled—outages, scaling issues, secure deployments, distributed systems challenges, and more. Your experience will directly train next-generation AI systems.

What You’ll Do

• Capture real DevOps + backend incidents and convert them into benchmark tasks
• Contribute to secure, scalable, Kubernetes-native architectures
• Work across CI/CD, observability, identity, infrastructure-as-code, and backend services
• Collaborate with our team to build realistic engineering workflows

Required Experience

5–12 years of experience in DevOps and/or Backend Engineering, including:

• Experience with secure, offline/air-gapped deployments (big plus)
• Familiarity with at least five of the following:
• Identity & Access Management
• Observability (Prometheus + Grafana)
• Keycloak
• Terraform OSS
• ML/Distributed pipelines (nice to have)

Compensation

This is a fully remote opportunity open to candidates based in Netherlands.

Hourly compensation for core projects typically ranges between USD $40 and $70 per hour. Final rates are determined based on experience, skills evaluation, location, project scope, and overall requirements

What You’ll Find at Bespoke Labs / What makes us different

• Fully remote, flexible schedule (30–40 hrs/week is highly preferred)
• Work that genuinely values hands-on, at-scale experience
• Ideal for DevOps engineers exploring high-impact side work or frontier AI exposure (Short Term Project / Full Time Projects)
• We keep the bar high and the teams small
• Prior AI Training experience is NOT mandatory for this freelancing role.

Bespoke Labs Hiring Process

Apply Now

If you’ve operated systems at scale and want flexible work while shaping next-gen AI, we’d love to hear from you.