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Sezzle

Senior Security Engineer, Network & Zero Trust

Sezzle

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

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

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in security and network engineering, particularly in Kubernetes networking and AWS environments. Proficient in implementing segmentation, mTLS, and infrastructure-as-code practices while collaborating with cross-functional teams to enhance security measures.

Highest-signal resume keywords
Kubernetes NetworkingAWS NetworkingMTLS ImplementationInfrastructure-as-CodePCI DSS Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Network PolicyService-to-Service AuthenticationTerraformGo ProgrammingPython ProgrammingBash ScriptingPacket Capture AnalysisFlow Log InvestigationSegmentation TestingDrift Detection
Tools & Technologies
AI ToolingHelmSIEMCiliumIstioLinkerdZTNAPolicy-as-CodeAdmission ControlIDS/IPS
Industry Keywords
FintechPaymentsBNPLSOC 2FFIEC

Tech Stack

Tools & technologies
AWSCloudDNSKubernetesPythonTerraformGo

About the role

Key responsibilities & impact
  • Own east-west segmentation across Kubernetes clusters using default-deny network policies 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
  • Own segmentation of production and the cardholder-data environment, including boundary enforcement and segmentation testing
  • Partner with IT to evaluate and deliver per-application private access/ZTNA
  • Own east-west and north-south network telemetry and feed flow data to the SIEM
  • Own cluster admission control, security groups, firewall rules, infrastructure-as-code enforcement, and drift detection and remediation
  • Build containment mechanisms for isolating workloads or segments during lateral-movement incidents
  • Participate in threat modeling, traffic-flow design reviews, incident response, and on-call rotation
  • Write policies, tooling, and rollout automation and carry changes through other teams’ services without disrupting delivery
  • Report to the Director of Information Security and collaborate with security platform, detection and response, platform, IAM, and IT teams
  • Use and build AI-assisted agentic workflows for flow analysis, policy generation, and drift review

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, and egress
  • Experience rolling segmentation out on live clusters 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 experience with Terraform and Helm or equivalents, using merge requests and CI
  • Ability to write production code in Go, Python, or Bash for tooling and automation
  • Ability to investigate using packet captures, flow logs, and system-level data
  • Working knowledge of PCI DSS network requirements, including segmentation, cardholder-data environment 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, certificate lifecycle management, Istio, Linkerd, Cilium service mesh, SPIFFE/SPIRE, AI-assisted workflows, ZTNA, policy-as-code, admission control, IDS/IPS, lateral-movement detection, SOC 2, FFIEC-style expectations, and fintech/payments/BNPL experience

Benefits

Comp & perks
  • Competitive gross salary of $5,000–$9,500 USD per month, based on experience
  • AI-assisted engineering workflows and tools
  • Open-source-focused technology environment
  • Diverse, purpose-driven company culture
  • Full-time employment