Job Description
Join Deloitte's Cloud Cyber Risk practice as a Forward Deployed Security Engineer and help organizations secure their Amazon Web Services (AWS) cloud and AI workloads at scale while working directly with client engineering teams. This is not an assessment-and-handoff role. You will design, build, deploy, and operate secure-by-default AWS environments and automated security controls across generative AI services, container and data platforms, infrastructure-as-code, and secure delivery pipelines. This role is designed for a hands-on engineer who enjoys solving complex cloud security challenges, building working automation, and supporting security outcomes in production environments.
Recruiting for this role ends on 12/31/2026.
Work you'll do
As an Engineering and Product Engineer III on the Cloud Cyber Risk team, you will be responsible for:
- Embed directly with client cloud and platform engineering teams to design, build, deploy, and operate automated security controls across AWS environments from initial design through production support.
- Design and implement security guardrails for AWS generative artificial intelligence (AI) and machine learning services, including Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker, as well as containerized and serverless workloads on Amazon Elastic Kubernetes Service (EKS).
- Build automated data protection and data loss prevention capabilities using Amazon Macie, AWS Key Management Service (KMS), and encryption and tokenization patterns across Amazon Simple Storage Service (S3), databases, and analytics platforms.
- Deploy and maintain AWS-native security services, including AWS Security Hub, Amazon GuardDuty, AWS Config, AWS Identity and Access Management (IAM) Access Analyzer, and AWS CloudTrail, within client monitoring and security operations workflows.
- Write and maintain production infrastructure-as-code using Terraform and/or AWS CloudFormation, integrate security scanning into continuous integration / continuous deployment (CI/CD) pipelines, and contribute reusable modules, runbooks, and reference implementations for future engagements.
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- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
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Qualifications
Required:
- 5+ years of experience in cloud security, cybersecurity, technology risk, or technology consulting; and a bachelor's degree in computer science, cybersecurity, information technology, engineering, or a technical field
- 3+ years of hands-on experience designing, building, or operating security solutions in Amazon Web Services (AWS) production environments, including AWS Security Hub, Amazon GuardDuty, AWS Config, AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), and AWS CloudTrail
- 2+ years of experience using Terraform and/or AWS CloudFormation to deploy infrastructure and security controls through production deployment pipelines
- Experience securing at least one of the following in a production environment: Amazon Elastic Kubernetes Service (EKS) / containers, Amazon SageMaker or Amazon Bedrock workloads, or data protection using Amazon Macie
- Experience integrating security controls into continuous integration / continuous deployment (CI/CD) pipelines, including static application security testing (SAST), dynamic application security testing (DAST), software composition analysis (SCA), secrets scanning, and infrastructure-as-code (IaC) scanning; experience scripting in Python, Bash, or Go to automate enforcement or remediation; and experience working directly with client or customer engineering teams in onsite or virtual delivery environments
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
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- Experience securing generative AI and agentic workloads on Amazon Bedrock, Amazon Bedrock AgentCore, or Amazon SageMaker in production environments
- Experience using policy-as-code and guardrail tools, including AWS Service Control Policies, Open Policy Agent, Checkov, or tfsec
- Experience with AWS Control Tower, secure landing zones, and multi-account governance
- Experience with Kubernetes security tooling and runtime protection
- Experience implementing security controls aligned to International Organization for Standardization (ISO) 27001, National Institute of Standards and Technology Cybersecurity Framework (NIST CSF), National Institute of Standards and Technology Special Publication 800-53 (NIST SP 800-53), Payment Card Industry Data Security Standard (PCI DSS), or System and Organization Controls 2 (SOC 2)
- Prior experience in a forward-deployed, startup, or professional services delivery model; AWS Certified Security - Specialty, AWS Certified Solutions Architect, or Certified Cloud Security Professional (CCSP)
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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