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.