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AWS Cloud Engineer | $55/Hr on W2 | No C2C
4 weeks ago
***100% Remote***
***$55/Hr on W2***
***6+ Months Contract (Possible Extension/conversion)
***Determining compensation for this role (and others) at Vaco depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Vaco believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure: [$53/Hr - $55/Hr]. The individual may also be eligible for discretionary bonuses.***
We are looking for a Cloud Engineer experienced with AWS, Kubernetes, Kafka to join our team to support our Cloud migration and resiliency efforts. You will be part of an in-house technology team that's creating consumer-facing, cutting-edge technologies revolutionizing the hospitality industry around the world
Job Duties:
Work on Cloud resiliency efforts and implement platform solutions with a focus on high availability, fault tolerance, and scalable systems.
Work on capacity planning, installation, administration, platform management, performance optimization of Kafka partitioning and Kafka brokers.
Automate and enhance existing operational procedures, maintenance and build outs.
Optimize the scalability and resiliency of our AWS environment across multiple regions, supporting both active-active and active-passive setups.
Collaborate effectively with cross-functional teams to fulfill business requirements.
Minimum Qualifications:
Experience with AWS. (3 years)
Experience with DevOps tool sets and methodologies. (2 years)
Experience with AWS services VPC, S3, RDS, IAM, Event bridge, Lambda. (2 years)
Experience with Kubernetes. (1 year)
Experience with Infrastructure as code tools Terraform (2 years)
Experience with Kafka, MM2. (2 years)
Experience with monitoring and alerting tools like systems DataDog, Prometheus, Splunk.
Experience with certificate-based authentication, x509 certs.
Experience with multi region active-active, active-passive setups and disaster recovery.
Experience with scripting languages bash, python (1 year)
Good to Have:
Experience with Amazon Managed Streaming for Kafka, MSK replicator. (MSK)
Experience with supporting 24/7 critical systems for on-call.
Experience with AWS best practices and Well architecture framework.
This is expected to be a remote position. The focus of the Cloud Engineer would be to manage our Kafka environment. Hands on experience and focus on Kafka/MSK is expected.
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