Описание

Phantom is building an AI-native security team that aggressively uses AI to expand the speed, depth, and reach of its work. This is a hands-on role for someone who is comfortable working in production systems, writing code and infrastructure, responding to incidents, and making security improvements without slowing down the teams building on the platform.

Responsibilities

Own and improve security across Phantom’s multi-account AWS environment, including IAM, Identity Center, networking, compute, storage, secrets, logging, and organization-level guardrails.
Secure production Kubernetes environments running on Amazon EKS, including cluster configuration, workload identity, RBAC, admission controls, network boundaries, secrets, container security, and tenant isolation.
Design least-privilege access models for engineers, services, and automation.
Build scoped, auditable, and time-bound access paths for sensitive production systems.
Protect the infrastructure supporting products and services that handle sensitive data and high-value operations.
Lead security design for new infrastructure, platform services, and major architectural changes.
Build reusable security controls using tools such as Pulumi, Terraform, Kubernetes policy engines, and automated configuration validation.
Harden build, deployment, and release systems, including GitHub Actions, workload federation, build runners, dependencies, artifacts, signing, provenance, and access to production environments.
Build tools that identify and remediate cloud and Kubernetes risks at scale.
Apply AI-assisted workflows where they materially improve analysis, coverage, or response speed.
Partner closely with Infrastructure, SRE, Developer Experience, and product engineering teams.
Establish practical platform-security standards and help teams adopt them.

Requirements

7+ years of experience in platform security, cloud security, infrastructure security, security engineering, or a closely related engineering role.
Deep, hands-on experience securing production AWS environments.
You understand IAM and resource policies, workload identity, network security, secrets management, logging, organization-level controls, and the ways these systems fail in practice.
Deep experience securing Kubernetes in production, preferably Amazon EKS, including RBAC, workload identity, admission policy, network policy, pod security, secrets, and cluster hardening.
Experience designing or securing mission-critical systems where compromise, excessive privilege, or loss of availability could have significant customer or business impact.
Strong understanding of identity, authorization, least privilege, isolation, and blast-radius reduction across both human and machine access.
Experience securing CI/CD and software supply chains, including GitHub Actions or similar systems, build runners, workload federation, artifacts, and production deployment paths.
Experience writing and reviewing infrastructure as code using Pulumi, Terraform, CloudFormation, or similar tools.
Ability to write production-quality code or automation in a language such as TypeScript, Python, Go, or Rust.
High agency and ownership.
You can take an ambiguous platform-security problem from initial investigation through implementation and verified remediation.
Clear communication and a strong track record of partnering with infrastructure and engineering teams while maintaining a high security bar.

Nice to have

Experience with AWS Nitro Enclaves or other trusted execution environments, including attestation, isolation boundaries, secure key handling, and operational lifecycle management.
Experience securing financial, payments, wallet, custody, or other high-value transaction systems.
Familiarity with key-management infrastructure, AWS KMS, CloudHSM, cryptographic signing systems, or secrets-management platforms.
Experience operating or securing multi-region Kubernetes and AWS environments at significant scale.
Familiarity with service meshes and cloud-native networking technologies such as Istio, PrivateLink, Transit Gateway, or eBPF-based controls.
Experience with GitHub OIDC, Argo CD, Helm, Crossplane, or Kubernetes-based infrastructure delivery.
Experience using cloud-security and observability platforms such as Wiz, Datadog, GuardDuty, Security Hub, or CloudTrail.
Experience building policy-as-code, automated remediation, or security tooling used by a large engineering organization.
Familiarity with blockchain infrastructure or self-custodial wallet architecture.

We offer

Competitive salary and equity.
Eligibility to participate in the company’s performance bonus program.
Comprehensive medical, dental, and vision insurance with 100% coverage.
Stipend for your ideal remote setup.
Flexible hours and a supportive remote environment.
Unlimited vacation—take time when you need it.
401(k) retirement plan.
Monthly wellness benefit.
Weekly meal benefit.
Global off-sites.
The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits.
This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.

Hiring process

By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy.
Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks.
Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.