The Lead DevOps Engineer will architect and manage stateful workloads within Azure, ensuring high availability and automating lifecycle processes for production systems.
While stateless applications are easily replaced, StatefulSets are the bedrock of our data integrity and service uptime. We are seeking a specialist to architect and manage the entire lifecycle of stateful workloads within our Azure-based MSF (Microservices Framework).
Your mission is to ensure that databases, message brokers, and persistent storage layers are architected for 99.99% availability. You will move us away from "snowflake" configurations toward a fully automated, self-healing stateful infrastructure where manual intervention is a relic of the past.
Working hours: 15:00-23:00 CET.
Responsibilities:
- Lifecycle Orchestration: Automate the end-to-end lifecycle of StatefulSets: provisioning, seamless volume expansion, graceful termination, and automated re-attachment during node failures.
- High Availability & Uptime: Implement advanced scheduling logic (Pod Topology Spread Constraints, Anti-affinity) to ensure stateful workloads survive zonal outages and maintenance windows.
- Storage Performance & Tuning: Optimize Azure Disk (Premium/Ultra) and Azure NetApp Files integration via CSI drivers to minimize IOPS bottlenecks and latency.
- Disaster Recovery Automation: Develop and test automated "Snapshot-to-Restore" pipelines. Ensure that the Actual State of data volumes can be recovered to the Goal State in minutes, not hours.
- Infrastructure as Code: Utilize Terraform to provision the hardened Azure foundation (Disk Encryption Sets, Proximity Placement Groups, and Networking) required for high-performance stateful clusters.
Basic Qualifications:
- Kubernetes Internal Mastery: Expert-level understanding of StatefulSet controllers, Persistent Volume Claims (PVCs), and the Container Storage Interface (CSI).
- Azure AKS Specialist: Deep experience with Azure Kubernetes Service, specifically around persistent storage integration and Azure-specific networking constraints.
- Automation & Scripting: Proficient in Go or Python/Bash for writing custom controllers or maintenance hooks (PreStop/PostStart) that ensure data consistency during updates.
- Reliability Engineering: Proven track record of managing production databases or distributed systems (e.g., Postgres, ClickHouse, Elasticsearch) on Kubernetes.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
Top Skills
Azure
Bash
Go
Kubernetes
Python
Terraform
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