Devops Engineer - Dap - Datamasking @ing Hubs Ro

ING Hubs Romania

Bucharest, Romania
Flexible (not specified, but remote work is implied)
Apache spark configuration and performance tuning
Kubernetes and docker container orchestration
Rhel based environment operations
ING Hubs Romania is seeking a DevOps Engineer for their Data Masking & Anonymisation team, responsible for managing a centralized data masking platform built on containerized Spark workloads in a Kubernetes environment. The ideal candidate should have strong experience in DevOps roles, particularly with Apache Spark and Kubernetes, and will focus on operational reliability, security, and automation

Job Summary

  • The role involves owning the end-to-end operational lifecycle of a critical Spark-on-Kubernetes platform used for sensitive data masking across ING's global units.
  • Engineers will drive automation initiatives for container build, deployment, and execution while ensuring strict compliance with IT risk standards and security policies.
  • The team operates in a flexible, collaborative environment focused on making impactful solutions that enable safe data processing at scale.

Matching Summary

Match Score: 85

ING Hubs Romania is seeking a DevOps Engineer for their Data Masking & Anonymisation team, responsible for managing a centralized data masking platform built on containerized Spark workloads in a Kubernetes environment. The ideal candidate should have strong experience in DevOps roles, particularly with Apache Spark and Kubernetes, and will focus on operational reliability, security, and automation.

Skills & Requirements

Must-have

  • Apache Spark configuration and performance tuning
  • Kubernetes and Docker container orchestration
  • RHEL based environment operations
  • CI/CD automation with Azure DevOps
  • Prometheus and Grafana monitoring setup
  • Container security hardening and RBAC

Nice-to-have

  • Experience migrating from Cloudera YARN
  • Knowledge of S3 object storage
  • Advanced English communication skills
  • Root cause analysis for Spark failures

Key Requirements

  • Proven experience in DevOps or Platform Engineering roles
  • Solid knowledge of containerization technologies including Docker and Kubernetes
  • Experience operating platforms on RHEL based environments

Work Rights

Not specified

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