Kafka Engineering
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
We offer Medical, Dental, Vision, Basic Life, Short-Term Disability, Accident, Term Life, Whole Life, and 401k for all W2 Consultants. A benefit overview will be provided as requested.
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