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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Kubernetes networking, including CNI and NetworkPolicy, while ensuring robust security through mTLS and segmentation strategies. Proficient in infrastructure as code with Terraform and Helm, and capable of automating processes using Go, Python, or Bash.
Highest-signal resume keywords
Kubernetes NetworkingAWS NetworkingMTLS ImplementationInfrastructure as CodeNetwork Security Compliance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesNetworkPolicyAWS VPCTerraformHelmGoPythonBashPacket Capture AnalysisFlow Log Investigation
Tools & Technologies
SIEMCiliumHubbleAI ToolingZTNA
Certifications & Qualifications
PCI DSSSOC 2
Industry Keywords
CDEHigh-Trust-TierPolicy-as-CodeAdmission ControlRegulated-Industry Experience
Tech Stack
Tools & technologiesAWSCloudDNSKubernetesPythonTerraformGo
About the role
Key responsibilities & impact- Own east-west segmentation across Kubernetes clusters and design default-deny network policies
- Derive network policies from observed traffic and maintain explicitly allowed, identity-bound paths
- Design and roll out mutually authenticated, encrypted service-to-service connections using mTLS
- Maintain a continuously reconciled network map covering 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
- Review network peerings and public exposure and run segmentation testing with the security team
- Partner with IT to evaluate and deliver per-application private access/ZTNA
- Own east-west and north-south network telemetry and feed it to the SIEM
- Own cluster admission control, infrastructure-as-code enforcement, 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 on-call
- Report to the Director of Information Security and collaborate with security platform, detection and response, platform, IAM, and other service teams
- Build and use 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
- Hands-on ownership of network controls in cloud production environments
- Deep Kubernetes networking knowledge: CNI, NetworkPolicy semantics, DNS, ingress/egress
- Experience rolling segmentation out on live clusters without outages
- Strong AWS networking: VPCs, subnets, security groups, peering, Transit Gateway, PrivateLink, load balancers, flow logs
- Hands-on experience with mTLS and service-to-service authentication
- Infrastructure as code experience with Terraform and Helm or equivalents
- 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 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, SOC 2, FFIEC-style examination expectations, and regulated-industry experience
Benefits
Comp & perks- Gross monthly compensation of $5,000–$9,500 USD, based on experience level
- AI-assisted engineering workflows and tools
- Remote work in Mexico
- On-call participation for owned controls
- Open-source-focused engineering environment
