DevOps Engineer – Data Platforms (Kubernetes)

Location: Remote (Americas preferred)

Type : Full Time Employment / Full Time Contractor

Department: Engineering – Platform & Database Operations

Company: Deep.BI

About Deep.BIDeep.BI provides consulting, enterprise support, and engineering services for open-source data infrastructure and real-time analytics platforms .

We help organizations design, deploy, migrate, and operate large-scale distributed data systems built on technologies such as:

• Apache Druid
• StarRocks
• Apache Flink
• Apache Kafka
• Apache Cassandra
• Kubernetes
• Hadoop ecosystem

Our engineers work across the entire lifecycle of modern data platforms — from architecture and deployment to migrations, incident management, performance optimization, and custom feature development.

What you'll work onYou will help customers:

✔ Deploy Kubernetes-native data platforms

✔ Migrate from legacy or commercial systems to open-source stacks

✔ Operate high-availability distributed systems

✔ Build infrastructure supporting real-time analytics workloads

Key ResponsibilitiesPlatform Deployment

• Deploy distributed data platforms including Kafka, Flink, Druid, StarRocks and Cassandra
• Build and maintain Kubernetes-native infrastructure
• Implement high-availability and disaster recovery architectures
• Configure autoscaling and resource optimization
• Deploy systems across cloud, on-prem, hybrid, and BYOC environments

Platform Migrations

• Execute commercial / enterprise → open-source migrations
• Support legacy platform modernization
• Implement zero-downtime migration
• Build or re-architect data ingestion pipelines and platform infrastructure
• Ensure platform stability during large-scale migrations

Platform Operations

• Troubleshoot complex issues across distributed systems
• Support mission-critical analytics platforms
• Improve automation, deployment workflows, and reliability
• Collaborate with engineering teams on platform architecture and operations

RequirementsCore Skills

• Strong experience operating Kubernetes clusters in production
• Kubernetes networking (e.g., Calico, Cilium)
• Experience deploying large-scale distributed systems
• Strong Linux systems and networking knowledge
• Experience with infrastructure automation and CI/CD
• Ability to troubleshoot complex distributed infrastructure issues
• Infrastructure-as-code tools (Terraform, Helm, etc.)
• Observability and monitoring systems

Experience With Data Platforms (Strongly Preferred)Experience with one or more of the following:

• Apache Kafka
• Apache Flink
• Apache Druid
• StarRocks
• Apache Cassandra
• Hadoop ecosystem

Additional Skills (Nice to Have)

• Experience operating large-scale data infrastructure
• Experience supporting production environments with high availability requirements

Why Join Deep.BI

• Work on cutting-edge open-source data technologies
• Solve complex problems in distributed systems and data infrastructure
• Collaborate with experts in streaming, database and platform engineering
• Work in a fully remote engineering culture
• Help organizations modernize their data platforms and analytics infrastructure

Interested? If you enjoy building and operating distributed infrastructure and modern data platforms, we would love to hear from you.