USA_Senior Security Engineer

Pay rate range : $55-60.60 / hr.

Location : Irvine, CA

Duration : 1 month

GBaMS ReqID : 10335357

Role Description :

Cloud Engineering Job DescriptionKey ResponsibilitiesDesign and implement secure configurations for AWS services (e.g., IAM, S3, EC2, RDS, Lambda, etc.).Deploy and manage CSPM tools to monitor and remediate misconfigurations.Collaborate with DevOps and engineering teams to integrate security into CICD pipelines.Develop and enforce cloud security policies, standards, and automation scripts.Monitor cloud environments for vulnerabilities, compliance drift, and anomalous activity.Qualifications510 years of experience in cloud security engineering, with a strong focus on AWS.Proficiency in AWS security services (e.g., GuardDuty, Security Hub, IAM, KMS, CloudTrail).Hands-on experience with CSPM platforms and cloud compliance frameworks (e.g., CIS, NIST, ISO).Strong scripting skills (Python, Bash, or Terraform) for automation and remediation.Familiarity with container security (EKS, ECS) and serverless security best practices.Relevant certifications (e.g., AWS Certified Security Specialty, CISSP, CCSP) are a plus.Preferred SkillsExperience with multi-cloud environments (Azure, GCP) is a bonus.Knowledge of Zero Trust architecture and cloud-native security controls.Strong communication and documentation skills. Security Analytics Engineer Job DescriptionKey ResponsibilitiesDesign and implement data pipelines in Snowflake to ingest, transform, and model security-related data.Integrate data from AWS services (e.g., S3, Glue, Athena, Redshift) into centralized analytics platforms.Develop and maintain Power BI dashboards to visualize security KPIs, compliance metrics, and operational trends.Collaborate with security, cloud, and data teams to define data requirements and ensure data quality.Automate data workflows and optimize performance across cloud-based analytics environments.Support data governance and ensure secure handling of sensitive information.Qualifications35 years of experience in data engineering or analytics roles.Strong proficiency in Snowflake and Power BI.Experience with AWS data lake architecture and services (e.g., S3, Glue, Lake Formation).Familiarity with information security metrics and reporting frameworks.Solid understanding of ETLELT processes and data modeling best practices.Experience with scripting languages (e.g., Python) for data manipulation and automation.Preferred SkillsExposure to security tools and log sources (e.g., SIEM, CSPM, vulnerability scanners).Knowledge of data privacy and compliance standards (e.g., GDPR, SOC 2).Experience with CICD pipelines and version control (e.g., Git).

Competencies : Cyber Security

Experience (Years) : 6-8

Essential Skills :

Cloud Engineering Job DescriptionKey ResponsibilitiesDesign and implement secure configurations for AWS services (e.g., IAM, S3, EC2, RDS, Lambda, etc.).Deploy and manage CSPM tools to monitor and remediate misconfigurations.Collaborate with DevOps and engineering teams to integrate security into CICD pipelines.Develop and enforce cloud security policies, standards, and automation scripts.Monitor cloud environments for vulnerabilities, compliance drift, and anomalous activity.Qualifications510 years of experience in cloud security engineering, with a strong focus on AWS.Proficiency in AWS security services (e.g., GuardDuty, Security Hub, IAM, KMS, CloudTrail).Hands-on experience with CSPM platforms and cloud compliance frameworks (e.g., CIS, NIST, ISO).Strong scripting skills (Python, Bash, or Terraform) for automation and remediation.Familiarity with container security (EKS, ECS) and serverless security best practices.Relevant certifications (e.g., AWS Certified Security Specialty, CISSP, CCSP) are a plus.Preferred SkillsExperience with multi-cloud environments (Azure, GCP) is a bonus.Knowledge of Zero Trust architecture and cloud-native security controls.Strong communication and documentation skills. Security Analytics Engineer Job DescriptionKey ResponsibilitiesDesign and implement data pipelines in Snowflake to ingest, transform, and model security-related data. Integrate data from AWS services (e.g., S3, Glue, Athena, Redshift) into centralized analytics platforms.Develop and maintain Power BI dashboards to visualize security KPIs, compliance metrics, and operational trends. Collaborate with security, cloud, and data teams to define data requirements and ensure data quality. Automate data workflows and optimize performance across cloud-based analytics environments.Support data governance and ensure secure handling of sensitive information.Qualifications35 years of experience in data engineering or analytics roles.Strong proficiency in Snowflake and Power BI.Experience with AWS data lake architecture and services (e.g., S3, Glue, Lake Formation).Familiarity with information security metrics and reporting frameworks.Solid understanding of ETLELT processes and data modeling best practices.Experience with scripting languages (e.g., Python) for data manipulation and automation.Preferred SkillsExposure to security tools and log sources (e.g., SIEM, CSPM, vulnerability scanners).Knowledge of data privacy and compliance standards (e.g., GDPR, SOC 2).Experience with CICD pipelines and version control (e.g., Git).