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Position :- Kafka Engineer
Location :- Owings Mills, MD
Duration : 6-12 months
Interview:- Video
Client: T. Rowe Price
Top Skills: Confluent Kafka (SME in Kafka), Automation (Ansible, Python), Hands on experience deploying into AWS (Kubernetes), Linux
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 General
- 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
Regards,
Dharmendra Tiwari
Recruitment Lead
Voto Consulting LLC
Direct: 201-299-3855
Email: [email protected]
LinkedIn: https://www.linkedin.com/in/dharmendra-tiwari-664836107/
www.votoconsulting.com
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