Senior Data DevOps Engineer
- Compensation
- Not disclosed
- Location
- Hungary
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science or equivalent practical experience
- Minimum 4 years of professional experience in DevOps / Cloud / Data Platform roles
- Strong Linux/Unix administration, networking, troubleshooting, performance tuning, and optimization skills
- Experience designing and operating production-grade systems
- Strong analytical, problem-solving, and communication skills
- Ability to visualize and explain architectures
- English B2 or higher
Full description
We are seeking a Senior Data DevOps Engineer to design, build and operate robust cloud-based data platforms, supporting data engineering and machine learning teams with scalable, production-ready infrastructure.
Technologies we are interested in...Cloud Platforms
· AWS: EC2, S3, IAM, VPC; Glue, Redshift, EMR, Kinesis; SageMaker
· Azure: VM, Storage, RBAC, Networking; Synapse, Data Factory, Event Hubs; Azure ML
· GCP (basic): BigQuery, Pub/Sub, Dataflow
Infrastructure, Containers & Automation
· Infrastructure as Code: Terraform (AWS & Azure), Terragrunt, ARM / Bicep
· Containers & orchestration: Docker, Kubernetes (EKS / AKS), Helm
· Configuration management: Ansible, Chef, Puppet or similar
· CI/CD: Jenkins, TeamCity, Bamboo, GoCD or similar
Data, Streaming & ML Platforms
· Apache Spark, Apache Kafka
· Delta Lake / Lakehouse architectures
· Databricks
· Workflow orchestration: Airflow or Prefect
· MLOps & ML platforms: MLflow, Feature Stores (Feast), Model Serving (KFServing, TorchServe)
Big Data, Monitoring & Security
· Hadoop: HDFS, YARN; Cloudera or Hortonworks; Ambari, Cloudera Manager; Hive, HUE, Spark; Hadoop Security (intermediate)
· Monitoring & observability: Prometheus, Grafana, Datadog, Zabbix, Nagios
· Search & analytics: Elasticsearch (intermediate)
· Security best practices and authentication/authorization: LDAP, Kerberos, SAML
Programming
· Python (minimum 2 years hands-on experience)
· One scripting language: Bash, Perl, or Groovy
Responsibilities
- Design, build, and operate highly available, scalable cloud-based data platforms
- Support data engineering and machine learning teams with production-ready infrastructure
- Automate build, deployment, and operational processes
- Ensure reliability, performance, security, and observability of systems
- Troubleshoot production issues and collaborate with development teams
- Create and maintain technical documentation, procedures, and knowledge transfers
Requirements
- Bachelor’s degree in Computer Science or equivalent practical experience
- Minimum 4 years of professional experience in DevOps / Cloud / Data Platform roles
- Strong Linux/Unix administration, networking, troubleshooting, performance tuning, and optimization skills