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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 implementing robust security measures such as mTLS and zero-trust network access. Proficient in infrastructure as code with Terraform and Helm, and capable of writing automation scripts in Go, Python, or Bash.
Highest-signal resume keywords
Kubernetes NetworkingMTLS ImplementationInfrastructure As CodeAWS NetworkingPCI DSS 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
KubernetesMTLSTerraformHelmGoPythonBashNetworkPolicyVPCSegmentation Testing
Tools & Technologies
SIEMAI ToolingCiliumEBPFHubble
Industry Keywords
Zero-Trust Network AccessPCI DSSSOC 2FFIECRegulated Industry
Tech Stack
Tools & technologiesAWSCloudDNSKubernetesPythonTerraformGo
About the role
Key responsibilities & impact- Own east-west segmentation across Kubernetes clusters using default-deny micro-segmentation and 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
- Implement and enforce production and cardholder-data environment segmentation boundaries
- Review network peerings and public exposure and run segmentation testing with the security team
- 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
- Manage cluster admission control, security groups, firewall rules, infrastructure as code, drift detection, and automatic 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 rotation
- Write policies, tooling, and rollout automation and carry changes through other teams’ services
- Report to the Director of Information Security and collaborate with security platform, detection and response, platform, IAM, and IT teams
- Use and build 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 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 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 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 expectations, and regulated-industry experience
Benefits
Comp & perks- Competitive gross salary of $5,000–$9,500 USD per month, based on experience
- AI-assisted engineering workflows and tools
- On-call participation for owned controls
- Collaborative work with security platform, detection and response, platform, IAM, IT, and security teams
