Job description
🎤 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 Git. Ops (FluxCD) and Infrastructure as Code (Cloud. Formation, Ansible)
- Manage the lifecycle of on-premises gateway appliances deployed at customer sites — VM image builds, TLS certificate automation, staged rollouts via Git. Ops, remote monitoring and troubleshooting
- Build and maintain monitoring, alerting, and observability infrastructure (Prometheus, Grafana, Loki, Tempo, Open. Telemetry) 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 Git. Ops 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!