Senior Data DevOps Engineer

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
• Experience designing and operating production-grade systems
• Strong analytical, problem-solving, and communication skills
• Ability to visualize and explain architectures
• English B2 or higher