DevOps Systems Engineering Manager
EPAM Systems
Job description
About the role
EPAM is looking for a technologist with a passion for designing and implementing complex DevOps solutions. As a DevOps Systems Engineering Manager you will lead transformation projects, mature the Data DevOps practice and collaborate with global peers.
Key responsibilities
- Implement a long‑term development plan for the Data DevOps practice.
- Cooperate with business units to identify solutions, best practices and case studies.
- Drive headcount growth, utilization and attrition management.
- Participate in Data & Analytics activities such as POCs, MVPs, training, RFPs and discoveries.
- Design, build and maintain production systems and provide consulting for cloud‑based applications.
Required profile
- 7+ years of professional experience in DevOps and Systems Engineering.
- Proficiency in Salesforce Marketing Cloud.
- Strong knowledge of Python and at least one major cloud platform (AWS, Azure or GCP).
- Experience managing production infrastructure with Terraform and AWS CloudFormation.
- Pre‑Intermediate or higher spoken English (B1+).
Required skills
- Salesforce Marketing Cloud
- Python, Bash, Ruby, PowerShell
- AWS, Azure, GCP
- Linux/Unix, Debian, Ubuntu, RedHat, CentOS, Windows Server
- Terraform, AWS CloudFormation, Azure Resource Manager, Packer
- Chef, Puppet, Ansible, AWS OpsWorks
- Zabbix, Nagios, DataDog, Prometheus, Grafana
- Jenkins, TeamCity, Bamboo, GoCD
- LDAP, Kerberos, SAML
- Kubernetes, Docker, Helm, AWS ECS, Google Kubernetes Engine, Azure Kubernetes Service, OpenShift, Rancher
- GitLab, GitHub, Subversion, BitBucket, Artifactory, Nexus
- AWS IAM, Active Directory, GCP IAM, HashiCorp Vault, data encryption at rest and in transit
- Databricks, Snowflake, AWS EMR, Google Cloud Dataproc, Azure Data Factory
- Kafka, Airflow, Spark, Hadoop, Yarn, HDFS, MapReduce, Hive, Flume, Sqoop, Zookeeper, Cloudera, Hortonworks
What we offer
- Work with highly skilled, globally distributed peers on innovative DevOps projects.
- Engagement in Data & Analytics practice activities, including training and proof‑of‑concept work.
- Support for team growth, utilization and career development.
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Published 2 апта мурун
Expires 1 ай ичинде
36 views · 0 interested
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