Company Description
K.A. Consultants (KAC) is a leading AI and Data Science solution development and advisory firm that delivers practical, industry-ready solutions for digital transformation, decision-making, and strategic growth. With expertise across industries such as telecom, insurance, government, and finance, the firm specializes in designing, deploying, and operationalizing AI systems with measurable ROI. KAC's proprietary OrYx Models suite facilitates enterprise-grade automation, customer optimization, and dynamic pricing while ensuring secure deployment in on-premise or hybrid environments. KAC has a long-standing reputation for integrity and scalability, supported by its experienced teams of AI scientists and data engineers. The organization is a trusted partner for cutting-edge AI/ML solutions, enterprise training, and consulting services for major public and private sector institutions.
DevOps Engineer – PaaS Platform
We are hiring a DevOps Engineer to operate, secure, and scale OrYx Maistro, a multi-tenant DataOps & AI Platform-as-a-Service (PaaS) running on AWS with tiered plans and pay-as-you-go resource expansion.
This role focuses on platform reliability, security, multi-tenancy, and cloud cost governance.
What You'll Do
• Operate and monitor a production PaaS on AWS (EKS/ECS, EC2, S3, RDS).
• Manage multi-tenant isolation, quotas, and per-plan resource enforcement.
• Implement high availability, failover, backup, and disaster recovery.
• Own platform security & cybersecurity (IAM, encryption, secrets, networking).
• Maintain CI/CD pipelines and infrastructure automation (IaC).
• Implement usage metering to support subscription tiers + Pay-As-You-Go billing.
• Build observability dashboards (monitoring, alerts, cost visibility).
What We're Looking For
• 4+ years DevOps / Platform Engineering experience.
• Hands-on experience with AWS-based PaaS or SaaS platforms.
• Strong knowledge of Docker, Kubernetes, Linux, and CI/CD.
• Experience with multi-tenancy, cloud security, and data protection.
• Comfortable supporting data- and AI-heavy workloads.
Nice to have: billing metering, MLOps, data platforms, enterprise RBAC.
Why Join
• Work on a real enterprise AI & DataOps platform, not prototypes.
• Direct ownership of platform architecture, security, and scale.
• Exposure to AI/ML, streaming data, and enterprise-grade systems.
