TTI of USA, Inc.
Kafka Engineer
TTI of USA, Inc. - Owings Mills, Maryland, United States, 21117
Work at TTI of USA, Inc.
Overview
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Overview
• 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
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