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AWS Data DevOps Engineer- (Sr.CyberSec Cloud Engineer)

Prolim Global

Plano · On-site Full-time Senior 2w ago

About the role

Role

AWS Data DevOps Engineer (Sr. CyberSec Cloud Engineer)

Location

Plano, Texas

Description

We are seeking an experienced Sr. CyberSec Cloud Engineer to support the Cyber Analytics Platform (CAP). You will play a critical role in designing, implementing and managing data solutions of a large-scale, multi-region data lake and analytics platform with the objective to empower the corporation to efficiently identify, detect, investigate, and respond to cyber threats.

Key Responsibilities

  • Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
  • Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop effective data ingestion, data analytics and reporting solutions
  • Monitor and troubleshoot failure or performance issues in data solutions.

Requirements

  • Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
  • Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop

effective data ingestion, data analytics and reporting solutions

  • Monitor and troubleshoot failure or performance issues in data solutions. Qualifications:
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent experience.
  • Proven experience as a DevOps Engineer, Data Engineer, or similar role, with a focus on data solutions.
  • Strong experience in upstream data ingestion, data modeling, data storage, and reporting, with a focus on streaming and event-driven logging using AWS services (MSK, Lambda, EC2, ECS, Glue, S3, etc).
  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
  • Experience with CI/CD tools and practices.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Strong scripting skills in languages such as Python, Bash, or similar.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills, with the ability to work effectively in a team.

Preferred Qualifications

  • Experience in cybersecurity domain.
  • Experience with SIEM solutions, such as Microsoft Sentinel
  • Knowledge in managing data security, compliance, and monitoring using AWS services (KMS, IAM, CloudWatch, etc.)

Requirements

  • Proven experience as a DevOps Engineer, Data Engineer, or similar role, with a focus on data solutions.
  • Strong experience in upstream data ingestion, data modeling, data storage, and reporting, with a focus on streaming and event-driven logging using AWS services (MSK, Lambda, EC2, ECS, Glue, S3, etc).
  • Proficiency in Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
  • Experience with CI/CD tools and practices.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) is a plus.
  • Strong scripting skills in languages such as Python, Bash, or similar.
  • Excellent problem-solving skills and the ability to work in a fast-paced environment.
  • Strong communication and collaboration skills, with the ability to work effectively in a team.

Responsibilities

  • Design, implement, and manage scalable, secure, reliable and effective data solutions focus on streaming and event-driven logging using AWS services such as MSK (Managed Streaming for Apache Kafka), Lambda, EC2, ECS, Glue, S3, and Athena.
  • Collaborate with cloud solution architects, network engineers, analysts, program managers, and other engineering teams to understand logging requirements and develop effective data ingestion, data analytics and reporting solutions
  • Monitor and troubleshoot failure or performance issues in data solutions.

Skills

AWS CloudFormationAthenaBashCI/CDDockerEC2ECSGlueIAMKubernetesLambdaMSKPythonS3Terraform

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