Provide oversight for delivery teams, ensuring quality, consistency, and alignment with client objectives while fostering knowledge transfer and consistent execution
Manage and resolve client escalations, balancing client satisfaction with project scope and delivery constraints
Present findings and recommendations to executive stakeholders, lead technical workshops, and facilitate security strategy sessions
As an individual contributor, provide consulting services on customer engagements and deliver security outcomes. Tasks may include:
Design secure cloud architectures and reference models for AWS and multi-cloud environments
Conduct in-depth cloud security assessments to identify security misconfigurations, architecture and cloud operational risks, and compliance gaps
Assist clients with continuous compliance and audit readiness in cloud environments
Conduct AWS security workshops, technical interviews, and stakeholder briefings
Prepare and present client deliverables including security roadmaps, process improvements, gap analyses, architecture diagrams, cloud security strategies, and custom deliverables based on client needs
Contribute to internal methodologies, templates, and reusable assessment frameworks
Mentor junior consultants and support knowledge sharing within the consultancy
Assist with scoping and pre-sales activities including proposals and statements of work (SOWs)
Collaborate with internal pre-sales teams to identify use-cases and opportunities for third-party security tooling (e.g., CNAPP, secrets management, data security, cloud detection and response, NHI [Non-Human Identity], etc.)
Requirements
Minimum of 5 years designing AWS architecture and operating AWS workloads at scale
AWS knowledge must include networking, data security, identity and access management, automation, and extensive hands-on with Amazon’s cloud-native security tooling services
Demonstrated knowledge of emerging security patterns and best practices for AI/ML workloads in AWS, including securing SageMaker environments, implementing guardrails for generative AI services (Bedrock), and applying data protection controls for model training and inference pipelines
Strong knowledge of IAM patterns (RBAC, ABAC), federated access, permission boundaries, SCPs, and RCPs
Proficiency in Infrastructure as Code (Terraform, CloudFormation, CDK) and secure coding practices
Experience with CIEM, CSPM, or CWPP tools
Familiarity with DevSecOps practices and integrating security into CI/CD pipelines
Scripting and automation skills (e.g., Python, Bash, or PowerShell)
Experience securing Kubernetes environments, including Amazon EKS and other managed Kubernetes platforms, with knowledge of pod security, RBAC, network policies, and container security best practices
Bachelor's or equivalent experience in Cybersecurity, Computer Science, Engineering, or related field.
Other CSP Certifications: Microsoft Certified: Azure Security Engineer Associate, Google Professional Cloud Security Engineer
Tech Stack
AWS
Azure
Cloud
Cyber Security
Kubernetes
Python
Terraform
Benefits
Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family).
Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
12 corporate holidays and a Flexible Time Off (FTO) program
Healthy mobile phone and home internet allowance
Eligibility for retirement plan after 2 months at open enrollment