DevOps Engineer Job at Zenith services, San Antonio, TX

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  • Zenith services
  • San Antonio, TX

Job Description

Job Title: DevOps Engineer (50% Kafka, 50% DevOps)
Location: San Antonio, USAA

Job Summary:
The DevOps Engineer will work with both Apache Kafka and DevOps tools to design, deploy, and manage real-time data streaming solutions, particularly using AWS services and Apache Flink. This role requires a deep understanding of Kafka, cloud infrastructure, and automation tools.

Key Skills & Expertise:

1.   AWS Managed Services:

◦ Proficiency with AWS services such as MSK (Managed Streaming for Kafka), Kinesis, Lambda, EC2, RDS, VPC, IAM, and more.

◦ Ability to manage infrastructure using CloudFormation or Terraform.

2.   Apache Flink:

◦ Expertise in Apache Flink for stream and batch data processing, including its integration with Kafka.

◦ Experience with managing Flink clusters on AWS (EC2, EKS, or managed services).

3.   Apache Kafka:

◦ In-depth knowledge of Kafka architecture, including brokers, topics, partitions, producers, and consumers.

◦ Experience with managing Kafka clusters (MSK or self-managed).

4.   DevOps & Automation:

◦ Experience with automating deployments and infrastructure using CI/CD tools (e.g., Jenkins, GitLab, GitHub Actions).

◦ Proficiency with Docker, Kubernetes, and cloud-based containerization.

5.   Programming & Scripting:

◦ Strong scripting skills in Python, Bash, or Go for automation and integration tasks.

6.   Monitoring & Performance Tuning:

◦ Knowledge of monitoring tools like CloudWatch, Prometheus, and Grafana.

◦ Expertise in optimizing data pipelines for performance and scalability.

Key Responsibilities:

1.   Infrastructure Design & Implementation:

◦ Design and deploy real-time data pipelines using Apache Flink and Kafka on AWS, ensuring scalability and fault tolerance.

2.   Platform Management:

◦ Manage and optimize Kafka clusters and Flink jobs for performance and scaling on AWS.

3.   Automation & CI/CD:

◦ Automate infrastructure provisioning and monitoring using Terraform, CloudFormation, and other tools.

4.   Collaboration:

◦ Work closely with Data Engineers, Data Scientists, and DevOps teams for smooth integration of data systems.

5.   Security & Compliance:

◦ Implement security for Kafka and Flink clusters, including encryption and access controls.

6.   Optimization & Troubleshooting:

◦ Optimize Kafka and Flink deployments for performance, troubleshoot issues, and ensure reliability

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