LTIMindtree
Senior Specialist - Cloud Engineering
LTIMindtree, Jersey City, New Jersey, United States, 07390
Role description
Job Title: Senior Specialist - Cloud Engineering (AWS Kafka Platform Engineer)
Work Location- Jersey City, NJ
Job Description:
8 years of experience with AWS Kafka platform engineer.
Bachelor's degree in computer science or related fields.
Minimum 2 Implementations are mandated.
Proficiency in Kafka Streams Kafka Connect and ksqlDB.
Experience with AWS MSK Confluent Cloud and monitoring tools like Prometheus and Grafana
Familiarity with Kubernetes CICD pipelines and GitOps workflows
Proficiency in a wide range of public cloud technologies ex Cloud watchAWS EC2 EKS EBS RDS S3 etc.
Experience with Amazon AWS cloud services such as EC2 S3 SQS Kafka and RDS is preferred
Design and manage AWS Kafka based streaming data pipelines
Configure and monitor Kafka clusters for performance and scalability
Integrate Kafka with AWS services like EC2 RDS Lambda and S3
Implement security protocols disaster recovery and high availability
Experience working with Kafka Confluent Cloud Schema Registry and KStreams.
Use Terraform or Ansible for infrastructure automation.
Collaborate with cross functional teams for real time analytics and data driven.
Infrastructure as code IaC using tools like Terraform.
Experience automating infrastructure deployment using cloud services like AWS.
Excellent understanding of Kubernetes and containerization concepts.
Good experience with AWS Cloud and its services.
Proficiency in Infrastructure as Code IaC technologies such as CloudFormation or Terraform.
Scripting and automation skills highly preferred APIs Python Bash PowerShell Go.
Practice Security as Code to ensure baked in security and automation.
System Administration in a Linux environment.
Job Title: Senior Specialist - Cloud Engineering (AWS Kafka Platform Engineer)
Work Location- Jersey City, NJ
Job Description:
8 years of experience with AWS Kafka platform engineer.
Bachelor's degree in computer science or related fields.
Minimum 2 Implementations are mandated.
Proficiency in Kafka Streams Kafka Connect and ksqlDB.
Experience with AWS MSK Confluent Cloud and monitoring tools like Prometheus and Grafana
Familiarity with Kubernetes CICD pipelines and GitOps workflows
Proficiency in a wide range of public cloud technologies ex Cloud watchAWS EC2 EKS EBS RDS S3 etc.
Experience with Amazon AWS cloud services such as EC2 S3 SQS Kafka and RDS is preferred
Design and manage AWS Kafka based streaming data pipelines
Configure and monitor Kafka clusters for performance and scalability
Integrate Kafka with AWS services like EC2 RDS Lambda and S3
Implement security protocols disaster recovery and high availability
Experience working with Kafka Confluent Cloud Schema Registry and KStreams.
Use Terraform or Ansible for infrastructure automation.
Collaborate with cross functional teams for real time analytics and data driven.
Infrastructure as code IaC using tools like Terraform.
Experience automating infrastructure deployment using cloud services like AWS.
Excellent understanding of Kubernetes and containerization concepts.
Good experience with AWS Cloud and its services.
Proficiency in Infrastructure as Code IaC technologies such as CloudFormation or Terraform.
Scripting and automation skills highly preferred APIs Python Bash PowerShell Go.
Practice Security as Code to ensure baked in security and automation.
System Administration in a Linux environment.