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Sezzle

Senior Security Engineer, Network & Zero Trust

Sezzle

. Own east-west segmentation across Kubernetes clusters using default-deny micro-segmentation and explicitly allowed, identity-bound paths .

Posted 11/3/2026full-timeRemote • ColombiaSenior💰 $5,000 - $9,500 per monthWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Kubernetes networking, including CNI and NetworkPolicy, while ensuring compliance with PCI DSS and implementing secure service-to-service authentication using mTLS. Proficient in infrastructure as code with Terraform and Helm, alongside strong capabilities in network telemetry and incident containment.

Highest-signal resume keywords
Kubernetes NetworkingAWS NetworkingMTLS AuthenticationInfrastructure As CodeAI Tooling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
KubernetesAWSMTLSTerraformHelmGoPythonBashPacket Capture AnalysisPCI DSS
Tools & Technologies
CiliumEBPFHubbleZTNAPolicy-As-CodeSIEMAI WorkflowsFlow LogsTransit GatewayPrivateLink
Industry Keywords
CDESegmentation TestingSOC 2FFIECRegulated Industry

Tech Stack

Tools & technologies
AWSCloudDNSKubernetesPythonTerraformGo

About the role

Key responsibilities & impact
  • Own east-west segmentation across Kubernetes clusters using default-deny micro-segmentation and explicitly allowed, identity-bound paths
  • Design and roll out mutually authenticated, encrypted service-to-service connections using mTLS
  • Maintain a continuously reconciled map of VPC peerings, tunnels, cross-account links, and public entry points
  • Segment production and the cardholder-data environment, enforce CDE and high-trust-tier boundaries, and conduct segmentation testing
  • Partner with IT to evaluate and deliver per-application private access/ZTNA
  • Own east-west and north-south network telemetry and feed identity-aware flow data to the SIEM
  • Own cluster admission control, infrastructure-as-code network controls, and automated drift detection and remediation
  • Build containment mechanisms for isolating workloads or segments during lateral-movement incidents
  • Participate in threat modeling, traffic-flow design reviews, and the on-call rotation
  • Write policies, tooling, and rollout automation and coordinate changes across other teams’ services
  • Use and build agentic AI workflows for flow analysis, policy generation, and drift review
  • Report to the Director of Information Security and collaborate with security platform, detection and response, platform, IAM, and IT teams

Requirements

What you’ll need
  • 6+ years of experience in security, network, platform, or infrastructure engineering, with hands-on ownership of network controls in cloud production environments
  • Deep practical Kubernetes networking knowledge, including CNI, NetworkPolicy semantics, DNS, ingress/egress, and live-cluster segmentation without outages
  • Strong AWS networking knowledge: VPCs, subnets, security groups, peering, Transit Gateway, PrivateLink, load balancers, and flow logs
  • Hands-on experience with mTLS and service-to-service authentication
  • Infrastructure as code using Terraform and Helm or equivalents through merge requests and CI
  • Ability to write production code in Go, Python, or Bash for tooling and automation
  • Ability to investigate with packet captures, flow logs, and system-level data
  • Working knowledge of PCI DSS network requirements, including segmentation, CDE scoping, and segmentation testing
  • Demonstrated current use of AI tooling such as Claude Code, Codex, Cursor, or custom LLM integrations
  • Preferred: Cilium/eBPF, Hubble or equivalent, fleet-scale mTLS and certificate lifecycle, SPIFFE/SPIRE, AI-assisted workflows, ZTNA, policy-as-code, admission control, network detection, incident containment, SOC 2, FFIEC-style expectations, and regulated-industry experience

Benefits

Comp & perks
  • Competitive gross salary of $5,000–$9,500 USD per month, based on experience level
  • AI-assisted engineering workflows and tools
  • On-call rotation participation for owned controls
  • Collaborative work with security platform, detection and response, platform, IAM, and IT teams
  • Open-source-focused technology environment
  • Full-time employment