Sr. Security Assurance Engineer

6sense is a technology company focused on driving growth, retention, and efficiency for businesses. The Senior Security Engineer role within the Governance, Risk and Compliance (GRC) team is responsible for building automated systems to continuously monitor security controls, generate technical evidence, and apply AI to enhance GRC workflows, ensuring audit readiness and risk management.

Responsibilities:

• All responsibilities of GRC Security Engineer III, and
• Design, build, and own automated security control monitoring; write production-quality code (e.g., Python) under version control, peer review, and CI/CD, and treat control logic as a maintained software asset rather than a documented procedure
• Convert the control library from periodic, sample-based manual testing to continuous control monitoring (CCM): define the technical signal for each control, its test frequency, pass/fail thresholds, and alerting and escalation path
• Engineer self-service technical evidence collection in AWS using native services (Config, Security Hub, CloudTrail, Organizations/SCPs, IAM Access Analyzer, Systems Manager, EventBridge, Lambda, Athena/S3, CloudWatch), so control owners and auditors retrieve current evidence on demand without GRC acting as an intermediary
• Eliminate manual, screenshot-based, and ticket-driven evidence collection; retire manual test procedures as automated equivalents come online and document the transition so auditors can rely on it
• Redesign GRC processes to be AI-native; apply LLMs and agentic workflows to evidence review, control mapping, gap analysis, security questionnaire and customer due diligence response, policy and procedure drafting, and risk assessment triage, with explicit human-in-the-loop review, guardrails, and output validation
• Maintain a single normalized control library crosswalked across frameworks (ISO 27001, SOC 2, PCI DSS, SOX, GDPR, NIST) so that one automated test satisfies multiple obligations
• Build the control-failure pipeline end to end: automated detection, enrichment, ticket creation, owner routing, SLA tracking, remediation verification, and closure, including exception and risk acceptance handling where remediation is not viable
• Partner with Platform Engineering, DevOps, and IT to shift controls left into preventive guardrails: service control policies, AWS Config conformance packs, policy-as-code in CI/CD, and secure-by-default infrastructure patterns
• Instrument control health reporting: automation coverage, evidence freshness, control failure rates, mean time to remediate, and audit-readiness posture, surfaced in dashboards consumable by Security leadership and control owners
• Lead internal and external audit engagements with automated evidence as the primary artifact; defend automated test design, sampling logic, and the completeness and accuracy of system-generated evidence to auditors and assessors
• Oversee and execute complex control tests and third-party and operational security risk assessments, using tooling and AI-assisted analysis to increase coverage and reduce cycle time, and communicate results across multiple audiences with varying levels of sensitivity
• Develop issue and risk treatment plans with owners and validate remediation through automated re-testing rather than manual confirmation
• Set the technical bar for the team: peer review other GRC Engineers' automation, queries, and test logic, and provide feedback, guidance, and enablement so automation ownership is distributed rather than siloed
• Provide GRC technology administration, including integrations, API-based data flows, and user training and enablement
• Mature security governance, training and awareness programs, using automation to target and measure them
• Improve GRC handbook pages, procedures, playbooks, and technical design documentation, and maintain security program controlled documents
• Execute on quarterly individual Key Results that support team Objectives (OKRs)

Requirements:

• 5+ years of experience being part of a GRC or similar team
• 2+ years of hands-on experience building and maintaining automation, including proficiency in at least one scripting or programming language (Python preferred) and comfort working in Git, code review, and CI/CD
• Demonstrated hands-on AWS experience relevant to control monitoring and evidence generation: Config, Security Hub, CloudTrail, IAM, Organizations and SCPs, Lambda, EventBridge, S3/Athena, CloudWatch
• Experience retrieving, normalizing, and reconciling data across systems via APIs and SQL, and reasoning about the completeness and accuracy of that data
• Practical experience applying LLMs or AI agents to real workflows, including prompt and workflow design, output evaluation, and appropriate human review and guardrails
• Experience with security tools and cloud environments (e.g., GRC and compliance automation platforms, vulnerability scanners, SIEM, SOAR, AWS)
• Experience with industry frameworks, regulations and standards, such as ISO 27001, SOC 2, GDPR, PCI, SOX, NIST, etc
• Ability to determine what constitutes sufficient audit evidence and to defend automated control testing and system-generated evidence to auditors
• Experience with infrastructure as code (Terraform, CloudFormation) and policy-as-code (OPA/Rego, AWS Config custom rules, cfn-guard, or similar)
• Experience implementing or operating continuous control monitoring at scale in a SaaS or multi-account cloud environment
• Experience integrating GRC or compliance automation platforms via API rather than through the UI
• Experience building internal self-service tooling used by engineers or control owners
• Big 4 (KPMG, Deloitte, PwC, EY) or similar experience
• Bachelor's degree in a related field
• Relevant industry certifications, such as CISSP, CISM, GIAC, AWS Certified Security – Specialty, or CCSK/CCSP, are highly desirable