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Ridgeline

AI-native front-to-back office investment platform

Principal Infrastructure Security Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeDublin, IrelandNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of relevant experience in cloud security or platform engineering, including leading large cross-team initiatives with company-wide impact and delivering them on schedule.
  • Advanced proficiency in at least one high-level programming language; Python is strongly preferred, with Kotlin or TypeScript as alternatives.
  • Expert experience with AWS, including Identity and Access Management, Organizations and Service Control Policies, Identity Center, VPC, Security Groups, Transit Gateway, Load Balancers, Network Firewall, EKS, ECS, Lambda, S3, Aurora, DynamoDB, GuardDuty, CloudTrail, and CloudWatch.
  • Demonstrated success defining enterprise-wide access management strategy and policy frameworks, including IAM and SCPs, and cloud security architecture adopted by engineering teams.
  • Deep understanding of cloud workload protection, infrastructure monitoring, and threat detection in AWS-native environments.
  • Expert experience securing Kubernetes and Amazon EKS, including EKS Auto Mode, cluster access control, network policy, Istio service mesh, Kyverno admission policy, and image signing with cosign.
  • Fluency with infrastructure-as-code such as OpenTofu or Terraform, GitOps delivery such as ArgoCD, and CI/CD practices, plus experience setting tooling and automation strategy and making build-versus-buy decisions.
  • Proven ability to present cloud security risks and trade-offs to executives and influence investment, cloud adoption, and risk acceptance decisions.
  • Track record of anticipating broad changes in cloud security and acting before they become urgent.
  • Experience building AI or automation frameworks and reusable agents that change how cross-functional teams work.
  • Experience developing senior engineers, sponsoring emerging leaders, and building team standards, detection frameworks, and architectural judgment that outlast individual projects.
  • Must be permitted to work in Ireland, including under EU work authorization, without employer sponsorship.

Responsibilities

  • Own the multi-year cloud security architecture vision and the security invariants governing engineering decisions across all product lines, AWS accounts, and infrastructure.
  • Set the technical strategy for cloud security tooling and automation, including how AI changes security operations, and make build-versus-buy decisions.
  • Drive company-wide guardrails and controls in the AWS environment, including SCPs, IAM boundaries, AWS managed security services, custom-built solutions, and policy-as-code; implement standards and processes to keep them enforced.
  • Develop threat models and security approaches, and identify emerging threats to identity, data, AI workloads, and infrastructure.
  • Create frameworks and methodologies for securely integrating third-party cloud services and internal platforms, and drive their adoption across the company.
  • Anticipate broad changes in cloud and infrastructure security, identify where the current approach will stop scaling, and propose fixes in advance.
  • Build AI and automation frameworks, and partner across functions to deploy reusable agents used by multiple teams.
  • Deliver large cross-team projects on schedule and at high quality, breaking complex programs into executable work for contributing teams.
  • Build the cloud security team's long-term technical culture, develop Staff-level cloud security engineers, and sponsor emerging leaders.
  • Shape C-suite and board-level decisions on cloud security investment, cloud adoption strategy, and organizational risk acceptance.

Desired Qualifications

  • Python is strongly preferred.
  • Kotlin or TypeScript is a plus.

About the Company

Ridgeline

AI-native front-to-back office investment platform

Ridgeline delivers a single, cloud-based platform for investment management that unifies front-to-back office functions (client engagement, portfolio management, trading, compliance, reconciliation, accounting, and reporting) on one real-time data set. Its AI-native approach embeds Ridgeline AI throughout the platform, including digital coworkers, a conversational reporting assistant, and workflow automation, plus Market Intelligence integrated into workflows. It distinguishes itself from competitors by building the system from the ground up with an enterprise software approach and tying pricing to multi-year SaaS contracts that scale with assets under management. The company aims to help asset managers, wealth managers, and RIAs run their businesses more efficiently, reduce data silos, automate complex workflows, stay compliant, and produce timely financial reporting.

Company size
201-500
Company stage
Series E
Total funding
$250M
Headquarters
Incline Village-Crystal Bay, Nevada
Founded
2018

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