DEFCON AI · 6 hours ago
Senior DevSecOps / Platform Security Engineer (AWS + Kubernetes)
United States
Full-time
Remote
Senior Level
$175K/yr - $215K/yr
5+ years expDEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems. They are seeking a Senior DevSecOps/Platform Security Engineer to build and operate production security controls across their AWS and Kubernetes platform, ensuring secure delivery through automation and policy enforcement.
Artificial Intelligence (AI)TransportationLogisticsSupply Chain Management
Responsibilities
Design, build, and maintain CI/CD security controls that scale across repositories and teams (reusable pipeline components, templates, and standards)
Implement Kubernetes security architecture and guardrails (RBAC hardening, workload security baselines, admission policies, network policies, and safe multi-tenant patterns as applicable)
Improve container security end-to-end: base-image strategy, vulnerability scanning, registry controls, image signing, and promotion workflows
Operationalize vulnerability management with risk-based prioritization, measurable remediation SLAs, and dashboards/metrics (MTTR, exposure trends, top recurring root causes)
Drive developer enablement: clear documentation, lightweight design reviews/threat modeling for high-impact changes, office hours, and high-signal guidance embedded in tooling
You'll ship code and infrastructure, not just recommendations
You'll own reliability and outcomes for the controls you build
You'll response to incidents and on-call rotation related to platform security controls and pipeline reliability (scope aligned with Platform/SRE)
This role supports delivery into regulated environments and works closely with Security/GRC to implement engineering-owned controls and produce audit-ready evidence. You'll help translate requirements (for example, NIST SP 800-171 and CMMC expectations) into practical, automated guardrails within CI/CD, AWS, and Kubernetes
Qualification
Required
5+ years of experience in DevOps/SRE/Platform Engineering and/or Security Engineering with a strong automation and delivery focus
Hands-on experience securing AWS environments: IAM (least privilege), network controls, encryption (KMS), and centralized logging/detection
Strong Kubernetes security experience (EKS or equivalent): RBAC, workload hardening, and policy enforcement via admission control
Experience integrating security into CI/CD pipelines and developer workflows (SAST, SCA, secrets scanning, container scanning, IaC scanning)
Infrastructure as Code proficiency (Terraform, CloudFormation, CDK, or Pulumi) and ability to embed guardrails into IaC workflows
Proficiency scripting/coding (e.g., Python, Go, Bash) to build integrations, automations, and internal tooling
Able to communicate risk and tradeoffs clearly and pragmatically to engineers; improves signal-to-noise rather than adding friction
Preferred
Experience with Kubernetes policy-as-code tooling (OPA/Gatekeeper, Kyverno) and secure workload identity patterns (OIDC/IRSA)
Experience with software supply chain security: SBOM generation and management, signing/verification (e.g., cosign), and provenance concepts
Experience building 'golden paths' or internal developer platforms that improve both delivery velocity and security outcomes
Familiarity with regulated delivery expectations (NIST SP 800-171/CMMC) and evidence-driven control implementation
Analytical Aptitude: Possess keen analytical and problem-solving skills, coupled with the capability to understand complex software challenges and collaborate toward viable solutions
Effective Communication: Skilled in distilling technical complexities into comprehensible terms for varied audiences
Adaptive Nature: Resilience and adaptability in the face of an ever-changing tech landscape, with a knack for rapidly integrating new technologies and methodologies
Agile Methodology Experience: An understanding and hands-on experience with agile development methodologies and version control tools
Agility in Tech: Demonstrated adaptability in the fast-paced tech landscape, continually embracing and integrating new technologies and methodologies
Education: While formal education in Computer Science or related fields is a plus, DefconAI values hands-on experience and demonstrable skills above all. Candidates with 6+ years of relevant experience will be considered regardless of their academic pedigree
Continuous Learner: A commitment to perpetually update one's skill set, staying aligned with the latest in technology trends and best practices
Benefits
100% employer paid, comprehensive health insurance including medical, dental, and vision for you and your family
Unlimited PTO, with your manager's approval
Flexible work environment where you manage your work day
14 weeks of fully-paid parental leave
Company
DEFCON AI
DEFCON AI optimize logistics and mobility decision-making through the use of advanced AI technology.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$44MKey Investors
Bessemer Venture Partners
2024-08-20Seed· $44M
Leadership Team
Yisroel Brumer
Co-Founder and Chief Executive Officer
Grant Verstandig
Co-Founder & Executive Chairman
Recent News
2025-08-11
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2025-08-05
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