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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in security and network engineering, with a strong focus on Kubernetes networking, AWS networking, and infrastructure as code. Proficient in implementing secure service-to-service connections and maintaining compliance with industry standards such as PCI DSS.
Highest-signal resume keywords
Kubernetes NetworkingAWS NetworkingMTLS ImplementationInfrastructure as CodeAI-Forward Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesAWSMTLSTerraformHelmGoPythonBashPacket Capture AnalysisFlow Log Investigation
Tools & Technologies
CNINetworkPolicyVPCTransit GatewayPrivateLinkLoad BalancersSIEMAI ToolingCiliumHubble
Industry Keywords
PCI DSSZTNAPolicy-as-CodeAdmission ControlNetwork DetectionIDS/IPSSOC 2FFIECRegulated Environment
Tech Stack
Tools & technologiesAWSCloudDNSKubernetesPythonTerraformGo
About the role
Key responsibilities & impact- Own east-west segmentation across Kubernetes clusters and maintain default-deny, identity-bound network 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 CDE and high-trust-tier boundaries
- Partner with IT to evaluate and deliver per-application private access/ZTNA
- Own network telemetry and feed east-west and north-south flow logs to the SIEM
- Own cluster admission control, infrastructure-as-code network controls, and automated drift detection and remediation
- Build containment capabilities and participate in incident response involving network controls
- Participate in threat modeling, design reviews, and the on-call rotation
- Write policies, tooling, and rollout automation; report to the Director of Information Security and collaborate with security platform, detection and response, platform, IAM, and other engineering 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: CNI, NetworkPolicy semantics, DNS, ingress/egress, and experience rolling segmentation out on live clusters without outages
- Strong AWS networking: 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 using Terraform and Helm or equivalents, through merge requests and CI
- Ability to write 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
- Demonstrated AI-forward engineering using AI tooling such as Claude Code, Codex, Cursor, or custom LLM integrations
- Preferred: Cilium/eBPF, Hubble or equivalent flow observability, fleet-scale mTLS, certificate lifecycle, SPIFFE/SPIRE, AI-assisted workflows, ZTNA, policy-as-code, admission control, network detection, IDS/IPS, SOC 2, FFIEC-style examination expectations, and regulated-environment experience
Benefits
Comp & perks- Competitive gross salary of $5,000–$9,500 USD per month, based on experience level
- Culture including musicians, yogis, cyclists, chefs, golfers, dog-lovers, and rock-climbers
- Remote work arrangement
