Lead Security Forward Deployed Engineer

Embed with customer engineering and security teams, understand their threat landscape and constraints, and translate them into a delivery plan

Design and build secure AWS architectures: landing zones, identity and access (IAM, IAM Identity Center, SCPs), network segmentation, encryption and key management (KMS), secrets and data protection

Implement preventive and detective controls as code (Terraform, CloudFormation or CDK), including guardrails, policy-as-code and CI/CD security gates

Build detection and response capabilities using GuardDuty, Security Hub, Inspector, Detective, CloudTrail, Config and a customer SIEM; automate response with Lambda, EventBridge and Step Functions

Secure generative AI and agentic workloads, for example on Amazon Bedrock: threat modeling, prompt-injection and data-leakage defenses, guardrails, model and agent access control, and LLM supply-chain risk

Apply AI to security operations: triage and enrichment automation, alert summarization, and cloud posture analysis with measurable analyst time savings

Run threat modeling, architecture reviews, and compliance mapping (for example, NIST CSF, ISO 27001, SOC 2, PCI DSS, DORA, NIS2) to the customer's regulatory framework

Prototype quickly, then harden: move working solutions to production with tests, documentation, and runbooks

Transfer knowledge through pairing, workshops, and playbooks so customer teams can run what is built

Feed field learnings back to EPAM and AWS: reusable accelerators, reference architectures, and product feedback

Work with the AWS account team and partner stakeholders on scoping, delivery reviews, and customer success stories

Any active AWS Associate, Professional, or Specialty certification (e.g., AWS Certified Security – Specialty; AWS Solutions Architect – Associate/Professional or DevOps Engineer – Professional)7+ years in security engineering, security architecture, or cloud security, with at least 4 years designing and building on AWS

Proven delivery in customer-facing or consulting roles: scoping, presenting to technical and executive audiences, and delivering under ambiguity

Deep working knowledge of AWS security services and patterns: IAM, Organizations and SCPs, KMS, VPC security, GuardDuty, Security Hub, CloudTrail, Config, WAF

Experience with Amazon Bedrock, SageMaker, or agent frameworks, including red-teaming or evaluating AI systems

Strong coding skills in Python (or Go/TypeScript) and infrastructure as code (Terraform, CloudFormation, or CDK) Experience with detection engineering and incident response in cloud environments

Working knowledge of container and Kubernetes security (EKS) and CI/CD pipeline security

Practical understanding of AI and LLM security risks (for example, the OWASP Top 10 for LLM Applications) and experience building with, or securing, GenAI services

Familiarity with security frameworks and regulations: NIST, ISO 27001, SOC 2, and one or more of PCI DSS, GDPR, DORA, NIS2 Excellent written and spoken English; comfortable running workshops and writing clear technical documentation

Willingness to travel and to work at customer sites as engagements require

AWS Certified Generative AI Developer - Professional certification

Security certifications such as CISSP, CISM, CCSP, or OSCP AI certifications such as Claude Certified Architect or OpenAI Technical Practitioner

Experience with agentic vulnerability discovery, verification, and remediation tools, such as AWS Continuum and the open-source Visa Vulnerability Agentic Harness (VVAH), including running them safely on customer code and integrating them into CI/CD and developer workflows