We’re looking for a Senior DevOps Engineer to lead the transformation of a large-scale Conversational AI platform into a multi-region, active/active architecture. This is a high-impact, time-critical project requiring deep expertise in distributed systems and infrastructure.
Key Responsibilities:
Deliver a production-ready active/active multi-region platform within 12 weeks
Ensure 99.95% uptime with RTO/RPO as close to zero as possible
Implement cross-region failover and intelligent traffic routing
Ensure seamless disaster recovery and business continuity
Use open-source tools: Kubernetes, Percona MySQL, Cassandra, OpenSearch, Redis
Collaborate closely with the core engineering team in the EU timezone
Required Qualifications:
8+ years in DevOps or Infrastructure Engineering roles
Proven track record with active/active, multi-region deployments
Expert in Kubernetes (multi-cluster, multi-region), distributed systems, and network design
Strong experience with multi-master databases, failover automation, and performance monitoring
Ability to deliver under aggressive timelines without compromising quality
Preferred Qualifications:
Certified Kubernetes Administrator (CKA) or similar certifications
Experience with AWS, GCP, or Azure multi-region infrastructure
Background in financial services or mission-critical systems
Familiarity with Infrastructure as Code (Terraform, Helm) and service mesh (Istio, Linkerd)
What We Offer:
Remote, full-time position
3+ month contract
Competitive compensation based on experience
Opportunity to work with a world-class engineering team
Challenging tasks on a high-impact Conversational AI product
DATRIX | AI solutions Group
Billbee GmbH
BLOCKSIZE
Cgi
Inclusion Cloud