E

Exiger

AI-driven supply chain risk platform

Lead Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • A track record as the technical lead on large, cross-team infrastructure or platform programs with many stakeholders.
  • Advanced, production-proven depth in AWS, Terraform, Kubernetes/EKS, and CI/CD, including architecture decisions that other teams had to live with.
  • Excellent judgment on architecture across many aspects of a project, with the reasoning and rejected alternatives to show for it.
  • Concrete examples of reducing complexity in systems or processes, with measurable outcomes.
  • Experience translating FedRAMP, NIST 800-53, and SOC 2 requirements into automated, enforceable controls with continuous evidence.
  • Excellent written and verbal communication, including design proposals, decision records, and incident reviews, and the ability to explain tradeoffs to engineers, auditors, and business leaders.
  • Evidence of growing other engineers through mentoring, coaching, and delegation.
  • Strong Python or Go skills for platform tooling and automation.
  • Typically 10+ years of engineering experience, including 3+ years as a technical lead on cross-team programs. The employer calibrates on demonstrated scope and judgment, not tenure.
  • U.S. citizenship, required for access to Exiger’s FedRAMP federal environments where legally required.

Responsibilities

  • Lead large, cross-team platform programs such as multi-region EKS, GovCloud platform expansion, or a re-architecture of the IaC framework, from design through delivery.
  • Make and own architecture decisions across compute, network topology, identity, account structure, and delivery, and document the tradeoffs clearly.
  • Reduce complexity across platform services and processes by consolidating one-off patterns, retiring what is no longer needed, and helping teams do more with less.
  • Design enterprise IaC frameworks and multi-region CI/CD with approval gates, automated rollback, and policy enforcement.
  • Architect guardrails and developer tooling so that every engineer can work safely in FedRAMP and GovCloud environments.
  • Design disaster recovery, capacity, and resilience strategies with explicit RTO/RPO targets, and validate them under sustained load, failure injection, and chaos testing.
  • Partner with product, data, and AI/ML teams to design platform infrastructure that fits how those teams build and run their systems.
  • Communicate plans, risks, and tradeoffs to engineers, security, compliance, federal program teams, and business stakeholders. Surface risks early and manage cross-team dependencies.
  • Own on-call escalation paths, lead the hardest incidents, and drive improvements to incident response across the teams the platform serves.
  • Set platform best practices and quality standards that other teams adopt, including IaC testing, policy tests, and failure testing in CI.
  • Shape how the platform team adopts AI-assisted engineering tools, with clear validation standards and boundaries that respect federal compliance requirements.
  • Mentor and coach engineers across teams, delegate meaningful work, and help raise the hiring bar for platform roles.

Desired Qualifications

  • Experience leading or playing a central role in a FedRAMP authorization, continuous monitoring program, or SOC 2 Type II audit.
  • Experience with AWS GovCloud, including partition isolation and service parity constraints.
  • AWS Professional or Specialty certifications, CKA/CKS, or HashiCorp Terraform certification.
  • Experience with internal developer platforms or developer portals such as Backstage or an equivalent.
  • Experience with service mesh technologies such as Istio or Linkerd and container supply chain security.
  • Experience with HashiCorp Vault at scale.
  • Experience with chaos engineering tools such as AWS Fault Injection Service, Chaos Mesh, or Litmus.
  • Experience with FinOps and automated cost controls.
  • Experience with infrastructure for data and AI/ML workloads, including GPU scheduling on EKS, Amazon Bedrock, or SageMaker.

About the Company

Exiger

AI-driven supply chain risk platform

Exiger provides supply chain risk and resilience software, offering the 1Exiger platform to give organizations end-to-end visibility into risk across their third-party and supplier networks, down to the nth tier. The platform uses AI to screen for sanctions and adverse media, assess third-party risk, and automate due diligence for banks, government agencies, defense contractors, and Fortune 500 companies, producing auditable decision records. Exiger differentiates itself with proprietary data assets and an AI-native approach focused on comprehensive third-party risk management and supply chain transparency, supported by strategic acquisitions and large investments. Its goal is to help organizations manage supplier risk and financial crime exposure while enabling trustworthy, auditable decisions across complex networks.

Company size
501-1,000
Company stage
Acquired
Total funding
$112M
Headquarters
New York City, New York
Founded
2013

Recently Posted Jobs

Explore more opportunities at Exiger

See more jobs