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.BI Deep.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 on You 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.