Senior DevOps services for Data Analytics and AI platform

Beschreibung

Area of activities
 
Senior DevOps services for Data Analytics and AI platform.
 
 
Tasks
 
Development and Operations of platform services
Implementation of automation and solution business logic per requirements
Cloud and OnPrem infrastructure setup and management
Security assessment and application of measures
Close work with internal customers onsite and remote: requirements gathering and definition, regular project meetings
 
 
Technologies
 
AWS: S3, Lambda, Redshift, VPC, Route53, EC2, EFS, RDS, DynamoDB, API Gateway, CloudWatch, IAM, Cognito, SNS, IoT Core, Kinesis.
Azure: Data Lake, Fuctions, Synapse, CosmosDB, DataBricks, Data Factory, ML, Events Hub, IOT Hub
Airflow, NiFi, Serverless.com, Snowflake, Kafka
Kubernetes (AWS, Azure, OnPremise)
Terraform, Cloudformation, Ansible, Sparkleformation and Cloud Custodian
ActiveDirectory / LDAP
CI/CD (GitLab)
JupyterHub/Lab
 
Skills
 
Proven practical DevOps experience (7+ years) in cloud-based environments for Big Data and Data Science applications
Solid practical knowledge of Cloud services, its setup and integration (see list of technologies)
Practical knowledge of management and configuration services and tools (see list of technologies)
Excellent practical knowledge of cloud-based container tools/services, its setup, security, monitoring and operations
Programming/scripting skills. Python preferred, more languages - nice to have. Experience with PySpark is nice to have.
Solid knowledge of Linux
Practical knowledge of ActiveDirectory / LDAP
Monitoring of Azure and AWS services and logs analysis
Knowledge and practical experience around cloud security (Azure and AWS)
Practical Knowledge of GIT and CI/CD. Experience with GitLab.
Very good level of English is required (speaking and writing). Knowledge of German is very welcome.