Details:
- Salary: £750 - 1,000 - Day
- Job Type: Contract
- Job Status: Full-Time
- Salary Per: Day
- Location: London
- Date: 2 weeks ago
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 stong 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