What are the responsibilities and job description for the Kafka Engineer position at SSI People?
Job Details
Title: Kafka Engineer
Location: Owings Mills, MD (Hybrid)
Duration: 06 months with possible extension
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.
