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    Kafka Specialist - London, United Kingdom - LHH Recruitment Solutions

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    Description

    Job Description

    Role: Software Engineer - Kaffka Specialist

    Location: London

    Daily rate: £750 - £1,000 pd paid inside IR35 via umbrella

    Our client, a leading global FinTech is looking to hire someone with strong Kafka Operations and Admin experience to join on a six-month contract.

    Spec below:

    Strong knowledge required of:
    . Linux Admin and Management
    . Kafka Admin and Management
    . Data replication
    . Kerberos
    . SSL/TLS
    . Active Directory
    . Shell Scripting
    . Github
    . AWS skills
    . Jenkins
    . Ansible
    . Packer
    . Terraform

    Preferred Skills:
    . Kubernetes
    . docker
    . Grafana
    . Prometheus
    . PCI compliance knowledge
    (Cloud)
    . AWS Cloud experience
    . EKS
    . Jenkins
    . Git
    . DevOps
    . Terraform
    . Packer
    . Development background
    . Docker
    . Kubernetes
    . Helm Charts
    . ArgoCD
    . GitOps
    . Networking concepts & troubleshooting experience

    Experience
    In-Depth Experience with AWS Cloud Platform Core Components - EC2, EBS, S3, IAM, KMS, Cloudwatch, SQS, SNS, AWS Secret Manager
    Experience with Terraform and Ansible
    3+ years of experience with Apache Kafka and confluent platform
    In-Depth knowledge of Kafka Architecture.
    Hands on Experience with Unix Shell Scripting, Python, Docker, Jenkins, Kerberos, SSL/TLS. Active Directory
    Experience with Packer, Harness, Grafana Prometheus, PCI compliance knowledge is a plus.
    Experience with Redhat Linux is a plus
    Experience with resolving Vulnerabilities and securing AWS infrastructure is a plus

    Key Responsibilities
    Build and maintain scalable, reliable, and high-performance Kafka cluster in both cloud and on-premise environment.
    Develop and maintain Kafka connectors to integration with various data sources and sinks.
    Optimize Kafka configurations to ensure maximum performance and reliability.
    Troubleshoot and resolve Kafka-related issues, including cluster performance, data loss, and data consistency problems.
    Work with Devops teams to implement and manage Kafka deployment using Harness or other similar deployment tools


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