DevOps Engineer – AWS, Hadoop, Spark (remote)
About Job:
Our Company is seeking a DevOps Engineer to support the automation and deployment needs of a range of data-oriented projects. You will work hand-in-hand with development teams to implement automation solutions using technologies like Amazon Web Services (AWS), Hadoop, Spark, Ansible, Terraform, Elastic Compute Cloud, and Jenkins to automatically build, test, integrate, and deploy applications in the healthcare and life sciences domains. You will leverage the full power of the cloud to configure highly resilient and scalable applications that can handle hundreds of terabytes of data and hundreds of thousands of users.
Requirements & Skills:
We are looking for a DevOps Engineer who is well versed in the following key technologies:
- Solid hands-on working experience with configuring and maintaining resources on AWS
- Hands-on experience administering a Hadoop and/or Spark cluster
- Experience with the majority of EC2, ELB, CloudFormation, S3, Glacier, CodeDeploy, SNS, SQS, RDS, IAM
- Hands-on understanding of virtualization and experience with Docker
- Deep, hands-on experience with Linux and administration
- Expertise with production deployments, and CI/CD tools such as Jenkins
- Experience automating cloud infrastructure, such as with Terraform
- Expertise with cloud security, such as managing users, roles, and privileges through IAM
- Experience managing Atlassian tooling such as Jira and Confluence preferred
- Experience deploying and managing a wide range of components that support web applications, such a nginx, Apache http, git, scripting (bash, Perl, Python, etc.), databases (MongoDB, PostgreSQL, etc.)
- Experience with Kubernetes highly preferred
- Experience with Nifi, Hive, and Redshift preferred
Job Type
Client Payroll
Positions
DevOps Engineer
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Up to 450 USD/Hour
450 USD
Up to 450 K/Year USD (Annual salary)
Longterm (Duration)
Fully Remote
Lindsay P