🎤 Why voize? Because we’re more than just a job!

At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people.

Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don't replace humans with technology - we amplify their impact.

Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload.

As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission!

💡 Your Mission: Delight customers, optimize processes!

As DevOps Engineer, you will build and own voize's platform and infrastructure — from cloud and edge systems to ML data pipelines; ensuring our systems are secure, reliable, and compliant. You will enable product and ML teams to ship state-of-the-art healthcare AI with confidence to hospitals, care facilities, and mobile devices across Europe.

🚀 Your Daily Business - No two days are alike

• Own and operate our Kubernetes clusters (AWS EKS production, bare-metal K3s for ML training, on-premises appliances running K3s) using GitOps (FluxCD) and Infrastructure as Code (CloudFormation, Ansible)

• Manage the lifecycle of on-premises gateway appliances deployed at customer sites — VM image builds, TLS certificate automation, staged rollouts via GitOps, remote monitoring and troubleshooting

• Build and maintain monitoring, alerting, and observability infrastructure (Prometheus, Grafana, Loki, Tempo, OpenTelemetry) across cloud and edge environments

• Drive compliance automation — security hardening, access controls, audit logging, encrypted secrets management (SOPS/KMS), and evidence collection for C5, HIPAA, and HDS certifications

• Support and scale ML training and data processing infrastructure — GPU cluster management, training job orchestration, and data pipeline reliability, working closely with the ML team to power state-of-the-art speech and language models

• Incident response — detection, triage, resolution, and post-incident reviews for infrastructure issues.

🤝 Your Skillset - What you bring to the table

• Strong experience operating Kubernetes in production (cluster operations, troubleshooting, networking, storage)

• Experience with GitOps workflows

• Experience working with monitoring and observability stacks

• Security-minded — you have strong understanding of encryption, access controls, secrets management

• Solid Linux systems administration skills, and experience with CI/CD pipeline design and maintenance.

• You are comfortable with taking shifts in on-call rotations. We typically share a time zone with our customers (currently CET, with potential growth to EST).

🌱 Growing together – what you can expect at voize

• We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people

• We foster an open, collaborative culture with regular team events, whether you work from our Berlin office or remotely across Germany

• Become a co-creator of our success with stock options

• Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses

• You decide when you work best, that means flexible working hours and a good hybrid set-up.

✨ Ready to talk? Apply now! 🚀

We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!