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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, mTLS, and cloud infrastructure management. Proficient in implementing zero-trust network access and maintaining compliance with PCI DSS and other regulatory standards.
Highest-signal resume keywords
Kubernetes NetworkingMTLS ImplementationAWS NetworkingInfrastructure as CodeAI Tooling Integration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KubernetesNetworkPolicyVPCTerraformHelmGoPythonBashPacket Capture AnalysisFlow Log Investigation
Tools & Technologies
SIEMCiliumHubbleTransit GatewayPrivateLinkLoad BalancersAI-Assisted WorkflowsPolicy as Code
Industry Keywords
PCI DSSZero-Trust Network AccessSOC 2FFIEC ExpectationsRegulated Industry Experience
Tech Stack
Tools & technologiesAWSCloudDNSKubernetesPythonTerraformGo
About the role
Key responsibilities & impact- Own east-west segmentation across Kubernetes clusters using default-deny, identity-bound network policies
- Design and roll out mutually authenticated, encrypted mTLS service-to-service connections
- Maintain a continuously reconciled map of VPC peerings, tunnels, cross-account links, and public entry points
- Enforce segmentation boundaries for production and the cardholder-data environment
- Evaluate and help deliver per-application zero-trust network access for engineers and operators
- Own east-west and north-south network telemetry and feed it to the SIEM
- Manage cluster admission controls, security groups, firewall rules, IaC pipelines, and drift detection
- Build workload and segment containment capabilities for lateral-movement incidents
- Participate in threat modeling, traffic-flow design reviews, incident response, and on-call rotation
- Write policies, tooling, and rollout automation while coordinating changes across 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 AI-assisted 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, 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
- Experience using merge requests and CI across repositories
- Ability to write 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, mTLS at fleet scale, SPIFFE/SPIRE, AI-assisted workflows, ZTNA, policy-as-code, admission control, network detection, SOC 2, FFIEC expectations, and regulated-industry experience
Benefits
Comp & perks- Gross monthly salary of $5,000–$9,500 USD
- Remote work in Brazil / Latin America
- AI-assisted engineering workflows and tools
- Open-source-focused engineering environment
- Participation in a supportive, purpose-driven culture
