AWS Solution Engineer
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Job Location:
Chandler, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
ob Description
AWS Solution Engineer
Required Skills and Qualifications:
o Strong AWS Cloud skills
o Confluent Kafka along with Automation using Terraform and Python/Ansible
o Hands on experience with Kafka
o Hands-on experience with Develop Test Automation using Terraform and Python/Ansible
o Basic knowledge of Linux /UNIX Shell Scripting
o Strong Terraform
o Strong Ansible Playbook and Ansible Tower
o Basic knowledge of Ping Access and Certificate Management
o Public and Private Cloud
Roles & Responsibilities
o Hands-on experience provisioning and managing cloud-native streaming services-Amazon MSK Azure Event Hubs and AWS Kinesis Data Streams (KDS)-using Terraform modules and providers.
o Strong understanding of Kafka ecosystem components (brokers zookeepers/quorum controllers topics partitions ACLs) and ability to map them to managed cloud services like MSK Event Hub namespaces and KDS streams.
o Expertise designing scalable secure event-streaming architectures across cloud platforms including network integration (VPC/subnet design PrivateLink firewall/SecGrp rules) using Infrastructure as Code.
o Skilled in implementing Terraform-based automation for Kafka cluster lifecycle management-cluster creation versioning encryption settings monitoring configuration and access control policies.
o Experience managing IAM RBAC and resource policies for streaming platforms (MSK IAM auth Event Hub RBAC roles Kinesis resource policies) using reusable Terraform modules.
o Strong knowledge of cloud-native observability stacks-such as CloudWatch Azure Monitor and MSKs built-in monitoring-and incorporating them into Terraform deployments for end-to-end logging/metrics.
o Ability to operationalize streaming infrastructure by automating topic creation schema registry integration and consumer/producer configuration using Terraform Ansible or Python-based tooling.
o Demonstrated experience building CI/CD pipelines to continuously deploy changes to MSK Event Hubs and KDS incorporating Terraform plan/apply automation and policy-as-code guardrails.
o Proficient in optimizing MSK Event Hub and KDS configurations for performance cost and fault tolerance-including scaling decisions partitioning strategies and retention tuning.
