Senior DevSecOps Engineer

• Craft is growing — and we’re looking for a senior engineer to lead one of our most strategically important initiatives: establishing a FedRAMP-authorized cloud environment by defining a secure boundary and hardening our existing cloud platform
• This is an initiative with direct impact on Craft’s ability to serve the 40+ federal government agencies we already work with, and to unlock new opportunities across the public sector
• You’ll own and lead the implementation of security controls, compliance automation, and secure architecture patterns required to achieve and maintain FedRAMP authorization at both Moderate and High impact levels, with alignment to DoW IL2 and IL5 requirements
• Working cross-functionally with infrastructure, engineering, and security, you’ll translate NIST 800-53 Rev. 5 requirements into scalable, auditable technical controls across our platform
• This role reports to and partners closely with Jose M., our Manager of DevSecOps
• You’ll lead the FedRAMP readiness effort day-to-day — driving the ATO timeline, shaping the program’s architecture, and upleveling team expertise in FedRAMP and NIST controls
• If you want to own something consequential at a company that already has a sponsor and active federal relationships, this is it
• Lead Craft’s FedRAMP readiness program — defining the roadmap, owning the ATO timeline, and driving execution across engineering and security stakeholders
• Design and implement AWS GovCloud architecture that meets FedRAMP Moderate and High requirements
• Translate NIST 800-53 Rev. 5 controls into concrete, auditable, and continuously enforced technical implementations — not just documentation
• Build and maintain compliance automation tooling to continuously validate control adherence across the environment, reducing manual audit burden
• Develop and manage secure CI/CD pipelines with integrated security gates, secrets management, and deployment controls appropriate for FedRAMP environments
• Author and maintain System Security Plans (SSPs), control implementation statements, and audit evidence packages; work directly with auditors and 3PAOs through assessment cycles
• Perform threat modeling, risk assessments, and security architecture reviews across the platform
• Define and drive how FedRAMP controls are embedded across the engineering lifecycle, partnering with full-stack, data, and machine learning teams to ensure consistent, scalable adoption
• Serve as the internal subject matter expert on FedRAMP, NIST 800-53, and federal compliance — upleveling the broader team’s knowledge as the program matures

Benefits

• Unlimited PTO
• Parental Leave
• 99% Benefits Coverage
• 401k plan
• Hybrid Hub Strategy
• Flexible Work Hours- You have strong working knowledge of NIST 800-53 Rev. 5 controls and how to implement them technically, not just document them
• You write advanced Terraform — modules, policy enforcement, and infrastructure that’s auditable by design
• You’ve built or hardened CI/CD pipelines for secure, compliant deployments — integrating security scanning, secrets management, and access controls
• You’ve worked directly with auditors and 3PAOs: preparing evidence packages, responding to findings, and supporting assessment activities
• You have direct, hands-on FedRAMP ATO experience — you’ve been through the process, not just observed it
• You have direct experience with AWS GovCloud, including its constraints and operational differences from commercial AWS
• You have deep hands-on experience securing AWS environments
• If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we strongly encourage you to apply
• Experience securing data platforms such as Databricks, including data isolation and access control patterns
• SOC 2 Type II experience, particularly in environments where mapped or extended to support FedRAMP or NIST frameworks
• Experience working in a startup or lean DevSecOps environment where you’ve had to build programs pragmatically with limited resources
• Familiarity with AI and LLM security concepts: prompt injection risks, model data isolation, inference boundary controls