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Kafka Engineer
Kafka EngineerZencon Group • Owings Mills, MD, United States
Kafka Engineer

Kafka Engineer

Zencon Group • Owings Mills, MD, United States
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Job Title : Kafka Engineer

Location : Owings Mills MD Hybrid (Two days a week onsite, they would prefer final interview to be onsite)

Contract Length : 6 months (likely to renew or extend long term)

Job Description

Role Description

  • The successful candidate will be responsible for developing and managing infrastructure as code (IaC), software development, continuous integration, system administration, and Linux.
  • The candidate will be working with Confluent Kafka, Confluent cloud, Schema Registry, KStreams, and technologies like Terraform and Kubernetes to develop and manage infrastructure-related code on AWS platform.

Responsibilities

  • Support systems engineering lifecycle activities for Kafka platform, including requirements gathering, design, testing, implementation, operations, and documentation.
  • Automating platform management processes through Ansible, Python or other scripting tools / languages .
  • Troubleshooting incidents impacting the Kafka platform.
  • Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.
  • Develop documentation materials.
  • Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.
  • Monitor, troubleshoot, and optimize the performance and reliability of Kafka in AWS environments.

    • Experience

  • Ability to troubleshoot and diagnose complex issues (e.g. including internal and external SaaS / PaaS, troubleshooting network flows).
  • Able to demonstrate experience supporting technical users and conduct requirements analysis
  • Can work independently with minimal guidance & oversight.
  • Experience with IT Service Management and familiarity with Incident & Problem management
  • Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and resolving root cause of service issues.
  • Demonstrated ability to effectively work across teams and functions to influence design, operations, and deployment of highly available software.
  • Knowledge of standard methodologies related to security, performance, and disaster recovery
  • Advanced understanding of agile methodologies such as CI / CD, Application Resiliency, and Security.

    • Required Technical Expertise

  • Develop and maintain a deep understanding of Kafka and its various components.
  • Strong Knowledge in Kafka Connect, KSQL and KStreams.
  • Implementation experience in designing and building secure Kafka / streaming / messaging platform at enterprise scale and integration with other data system in hybrid multi-cloud environment.
  • Experience in working with Confluent Kafka, Confluent Cloud, Schema Registry, and KStreams Infrastructure as code (IaC) using tools like Terraform.
  • Strong operational background running Kafka clusters at scale.
  • Knowledge of both physical / onprem systems and public cloud infrastructure.
  • Strong understanding of Kafka broker, connect, and topic tuning and architectures.
  • Strong understanding of Linux fundamentals as related to Kafka performance.
  • Background in both Systems and Software Engineering.
  • Strong understanding and working knowledge, experience of containers and Kubernetes cluster.
  • Proven experience as a DevOps Engineer with a focus on AWS.
  • Strong proficiency in AWS services such as EC2, IAM, S3, RDS, Lambda , EKS and VPC. Working knowledge of networking - VPCs, Transit Gateways, firewalls, load balancers, etc.
  • Experience in monitoring and visualizing tools like Prometheus, Grafana, Kibana.
  • Competent developing new solutions in one or more of high-level language Java, Python.
  • Competent with configuration management in code / IaC including Ansible and Terraform
  • Hands on experience delivering complex software in an enterprise environment.
  • 3+ years of Python and Shell Scripting.
  • 3+ years of AWS DevOps experience.
  • Proficiency in distributed Linux environments.

    • Preferred Technical Experience

  • Certification in Confluent Kafka and / or Kubernetes is a plus
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