Cloud DevOps Engineer
We are seeking a Cloud DevOps Engineer to be able to create/automate cloud infrastructure needed for running various big data pipelines. The candidate will be a hands-on engineer with the ability to understand cloud security principles (authentication/authorization, VPC, subnets, VPNs, security gateways, etc.). Must be able to work closely with the product engineering team to implement robust security policies and implementations. Other additional expectations are to write complex code and build infrastructure using code, automation of environments, etc.; to understand the myriad of cloud services including big data technologies (e.g. AWS Redshift, AWS EMR, AWS RDS, AWS Kinesis, GCP Dataproc, GCP Dataflow etc.); and familiarity with on-premise and cloud datastores (e.g. Cloudera Impala, Apache Hive, Google BigQuery, AWS Athena etc.).
REQUIRED QUALIFICATIONS
Experience with Amazon VPC, ELB, IAM, KMS, EC2, EMR, CloudTrail, Athena, RDS, Glue
Experience with Google VPC, Subnets, CloudSQL, BigQuery, Dataflow, Dataproc, IAM, APIs & Services
Know how to use automation technology such as Chef, Puppet, Go, Salt, Ansible, Terraform, and Cloud Formation
Experience with Cloud SDKs for Google and Amazon
Hands-on experience with Java/Go/Python development
Strong interpersonal, written and verbal communication skills
Strong decision-making, problem-solving, and critical thinking skills
Ability to diagnose and fix a myriad of cloud issues such as networking and connectivity issues
Cloud-based certifications (AWS/Google/Azure) desirable or willing to obtain
Clearance // Top Secret/ SCI
PREFERRED QUALIFICATIONS
Bachelor’s degree in Computer Science/Engineering, Information Systems, or equivalent
5+ years of demonstrable experience
Have supported and implemented development standards from a security perspective
Ability to introduce new Cloud Services into an existing infrastructure stack
Mentored junior and mid-level folks on cloud security and best practices
Developed automated security and compliance capabilities in support of DevOps processes in a large-scale AWS/Google cloud computing environment