Cloud DevOps Engineer
Hybrid//Flexible Schedule
Working with the teams in AI and DevOps across different clouds. 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
PREFERRED QUALIFICATIONS
Bachelor’s degree in Computer Science/Engineering, Information Systems, or equivalent
Up to 2 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
Responsibilities
- Implement and maintain cloud infrastructure using a combination of core skills such as cloud computing, IT infrastructure, and web services.
- Deploy and manage virtualized environments leveraging premium skills like VMWare and OpenStack.
- Utilize relevant skills such as Docker, AWS, and Kubernetes to optimize system performance and scalability.
- Collaborate with cross-functional teams to ensure seamless integration of new technologies.
- Monitor and troubleshoot issues related to IaaS, PaaS, and SaaS platforms.
- Continuously improve processes through automation and adherence to best practices.
Must be a U.S. citizen and able to obtain a Top Secret/ SCI
Job Type: Full-time
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