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 10/14/2026full-timeRemote • IndiaSenior💰 $5,000 - $9,500 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in security and network engineering, with a strong focus on Kubernetes networking, AWS networking, and infrastructure as code. Proficient in implementing zero-trust network access and managing segmentation in cloud production environments.

Highest-signal resume keywords

Kubernetes NetworkingAWS NetworkingMTLS ImplementationInfrastructure As CodePCI DSS Compliance

ATS Keywords

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Hard Skills

KubernetesAWSMTLSTerraformHelmGoPythonBashPacket Capture AnalysisSegmentation Testing

Tools & Technologies

CNINetworkPolicyTransit GatewayPrivateLinkLoad BalancersFlow LogsAI ToolingService MeshPolicy-As-CodeSIEM

Industry Keywords

Zero-Trust Network AccessCardholder-Data EnvironmentIncident ResponseSOC 2FFIEC

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
Own segmentation of production and the cardholder-data environment, including boundary enforcement, exposure reviews, and segmentation testing
Partner with IT to evaluate and deliver per-application zero-trust network access for production systems
Own east-west and north-south network telemetry and feed identity-aware flow data to the SIEM
Own cluster admission control, security groups, firewall rules, infrastructure-as-code pipelines, and automated drift detection and remediation
Build containment capabilities for isolating workloads or segments during lateral-movement incidents
Participate in threat modeling, traffic-flow design reviews, incident response, and the on-call rotation
Write policies, tooling, rollout automation, and AI-assisted workflows while coordinating changes across other teams’ services
Report to the Director of Information Security and collaborate with security platform, detection and response, platform, and IAM 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: CNI, NetworkPolicy semantics, DNS, ingress/egress, and experience rolling segmentation out on live clusters without outages
Strong AWS networking knowledge: VPCs, subnets, security groups, peering and Transit Gateway, PrivateLink, load balancers, and flow logs
Hands-on experience with mTLS and service-to-service authentication
Infrastructure as code experience, including 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, cardholder-data environment scoping, and segmentation testing
Demonstrated AI-forward engineering experience using AI tooling such as Claude Code, Codex, Cursor, or custom LLM integrations
Preferred: Cilium/eBPF, Hubble or equivalent, fleet-scale mTLS and certificate lifecycle, service mesh, 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
Culture including skilled musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers
AI-assisted engineering as a standard part of how the team works
Open-source-focused engineering environment
Full-time remote work