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Quilter

Senior/Staff Platform Engineer, Infrastructure & Security

Quilter

. Build and maintain secure cloud and Kubernetes infrastructure .

Posted 11/2/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and maintaining secure cloud and Kubernetes infrastructure, implementing security controls, and automating compliance processes. Proficient in troubleshooting and optimizing resource usage while collaborating effectively with cross-functional teams.

Highest-signal resume keywords
Cloud Infrastructure ManagementKubernetes ExperienceSecurity Controls ImplementationAWS and Terraform ProficiencyAutomation in Python or Go

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cloud Infrastructure ManagementKubernetesInfrastructure-as-CodeSecurity ControlsTroubleshootingAutomationVulnerability RemediationAudit LoggingSecrets ManagementNetwork Restrictions
Soft Skills
Clear CommunicationPrioritizationCollaboration
Tools & Technologies
AWSTerraformPrometheusGrafanaOpenTelemetry
Certifications & Qualifications
SOC 2ISO 27001FedRAMP
Industry Keywords
Cloud SecurityOperational EfficiencyIncident ManagementCompliance ControlsCapacity Constraints

Tech Stack

Tools & technologies
AWSCloudGrafanaKubernetesLinuxPrometheusPythonTerraformGo

About the role

Key responsibilities & impact
  • Build and maintain secure cloud and Kubernetes infrastructure
  • Improve network boundaries, machine identities, secrets management, least-privilege access, and audit logging
  • Own the infrastructure maintenance lifecycle, including image, dependency, and infrastructure updates
  • Investigate vulnerability findings, prioritize remediation, and roll out changes safely
  • Implement and automate compliance controls, validation checks, access reviews, evidence collection, and remediation tooling
  • Support SOC 2, ISO 27001, and prospective FedRAMP compliance work
  • Implement and test backup and restore procedures and document recovery steps
  • Partner with service owners on alerts, incident playbooks, communication, production troubleshooting, and corrective work
  • Analyze resource usage, cost, capacity constraints, and waste to improve infrastructure efficiency
  • Partner with delivery, runtime, and data platform engineers to embed security and operational requirements into reusable systems
  • Own systems from design through operation and help shape the Platform team's technical direction

Requirements

What you’ll need
  • Experience owning production cloud infrastructure, including maintaining it, diagnosing failures, and making changes safely
  • Hands-on experience implementing security controls such as IAM, secrets management, network restrictions, audit logging, vulnerability remediation, or secure configuration
  • Practical Kubernetes, container, and infrastructure-as-code experience
  • AWS and Terraform are particularly relevant; comparable experience is welcome
  • Strong troubleshooting skills across Linux, networking, cloud services, and application behavior
  • Ability to build and maintain tested automation and small tools in Python or Go
  • Ability to work effectively with software engineers on shared systems
  • Ability to translate security requirements into technical controls and demonstrate that they work
  • Interest in owning recurring operational work and improving how it gets done
  • Clear communication and prioritization; ability to explain technical risks and tradeoffs, coordinate remediation across teams, and document decisions and procedures
  • Experience implementing technical controls or automating evidence for SOC 2, ISO 27001, FedRAMP, or a comparable program is nice to have
  • Experience with AWS GovCloud, customer-managed infrastructure, or restricted-network environments is nice to have
  • Familiarity with Prometheus, Grafana, OpenTelemetry, or cloud-native equivalents is nice to have
  • Experience with artifact signing, software provenance, or automated verification of software supply-chain controls is nice to have
  • Familiarity with GPU, ML, batch, or other compute-intensive workloads and their capacity/cost tradeoffs is nice to have
  • Primarily hiring within the US; applicants must be legally authorized to work in the US for any employer
  • Must indicate whether visa sponsorship will be required

Benefits

Comp & perks
  • Competitive salary and equity benefits
  • Health, dental, and vision insurance
  • Regular team events and offsites (~4x / year)
  • Unlimited paid time off
  • Paid parental leave