Distributed Systems Engineer III
Focal
About the role
About Mozn
MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
About the role
We are looking for a highly motivated Distributed Systems Engineer III to join our Cloud Platform Engineering team.
This role focuses on building and operating reliable, scalable, and resilient cloud platforms for distributed and data-intensive workloads. You will work across Kubernetes, cloud infrastructure, messaging systems, databases, automation, and platform reliability.
The role requires strong hands-on experience with Kafka, Kubernetes, and at least one relational database such as MySQL or PostgreSQL, along with a solid understanding of distributed-systems fundamentals.
As our platform evolves, you will also contribute to AI and data infrastructure, helping build the underlying platform capabilities required to run data-intensive and AI
What you'll do
Cloud Platform & Distributed Systems
- Build, operate, and continuously improve production cloud-native platforms running distributed workloads.
- Work hands-on with Kubernetes, including upgrades, node pools, workload lifecycle, troubleshooting, and platform operations.
- Deploy and manage workloads using ArgoCD, Helm, GitOps, Terraform, and automation.
- Design and operate systems with a focus on scalability, availability, resilience, performance, and operational simplicity.
- Troubleshoot complex issues across Kubernetes, cloud infr…