Systems Engineer - Cloud Security & Automation

We are looking for multiple Systems Engineers* to support our client’s cloud data platform security and automation initiatives. The role will focus on hardening cloud platforms, improving vulnerability management, and building automation to support secure and scalable data environments., Harden build and run processes for cloud-based data platforms that may have external threat exposure.

• Identify, prioritize, and remediate vulnerabilities across applications, cloud infrastructure, and data platforms.
• Support shift-left security practices by embedding security controls earlier in the development and platform lifecycle.
• Work with security scanning and analysis tools to detect vulnerabilities before they reach production.
• Build and enhance automation to improve vulnerability remediation speed and platform security.
• Support cloud governance and security best practices across AWS environments.
• Collaborate with platform, security, and engineering teams to improve secure delivery and operational readiness.
• Help accelerate remediation efforts using automation and AI-assisted security capabilities., Storage Platforms
• Amazon S3 and related S3 family services
• Amazon EFS
• Amazon EBS

Data Sharing Platforms

• Snowflake
• Enterprise file transfer solutions

Streaming Platforms

• Amazon Kinesis
• Amazon EventBridge
• Amazon SQS
• Confluent Kafka
• Tableflow

Database & Replication Services

• Amazon Aurora
• Amazon DynamoDB
• Amazon Redshift
• AWS DMS
• Qlik Replicate or similar data replication tools

This position is part of *Project Nova for CDaaS, which focuses on strengthening data platforms and code environments against modern and AI-driven security threats. The ideal candidate should have strong experience in AWS security, vulnerability remediation, infrastructure automation, and cloud data platform support., Strong experience with AWS security and governance services, including:

• IAM
• AWS Secrets Manager
• AWS KMS
• Service Control Policies
• Hands-on experience with AWS automation and serverless technologies, including:
• CloudFormation
• AWS Lambda
• Step Functions
• Experience with vulnerability management and remediation across cloud platforms and applications.
• Experience with security scanning tools such as:
• SAST tools
• Snyk
• EchoAI
• AI-assisted penetration testing tools
• Strong understanding of cloud security, secure coding practices, and shift-left security concepts.
• Ability to troubleshoot, analyze, and resolve security and infrastructure issues in AWS environments.
• Experience working in enterprise cloud environments with strong governance and compliance standards.

Cloud Platform Experience

Candidates should have experience in one or more of the following areas, Prior experience supporting financial services or highly regulated enterprise environments.

• Experience working with cloud data platforms and large-scale AWS environments.
• Exposure to AI-driven security threats and AI-assisted remediation tools.
• Strong scripting or automation experience.
• Ability to work closely with security, platform engineering, and application teams., The ideal candidate is a hands-on Systems Engineer / Cloud Security Engineer* with strong AWS security, automation, and vulnerability remediation experience. They should be comfortable working in a hybrid onsite environment and supporting enterprise-level cloud data platforms with a strong focus on security hardening and automation.