7 hours ago
Remote, MexicoSenior
Responsibilities
- Own east-west segmentation and default-deny network policies across Kubernetes clusters.
- Design and roll out identity-aware, encrypted service-to-service transport using mTLS.
- 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 and conduct segmentation testing.
- Evaluate and help deliver per-application private access and ZTNA for production systems.
- Own east-west and north-south network telemetry and feed identity-aware flow data to the SIEM.
- Manage admission controls, security groups, firewall rules, infrastructure-as-code enforcement, and automated drift detection and remediation.
- Build workload and segment containment capabilities and participate in incident response.
- Participate in threat modeling, design reviews, and on-call support for owned controls.
- Develop policy, tooling, rollout automation, and AI-assisted workflows for flow analysis, policy generation, and drift review.
Requirements
- 6+ years of experience in security, network, platform, or infrastructure engineering with hands-on ownership of cloud-production network controls.
- Deep Kubernetes networking knowledge, including CNI, NetworkPolicy semantics, DNS, ingress, and egress, with experience deploying segmentation on live clusters.
- Strong AWS networking experience with VPCs, subnets, security groups, peering, Transit Gateway, PrivateLink, load balancers, and flow logs.
- Hands-on experience with mTLS and service-to-service authentication through service meshes, proxies, or CNI-level encryption.
- Experience using Terraform and Helm or equivalents through merge requests and CI across multiple repositories.
- Ability to write production tooling and automation in Go, Python, or Bash.
- Ability to investigate using packet captures, flow logs, and system-level data.
- Working knowledge of PCI DSS network requirements, including segmentation, cardholder-data-environment scoping, and segmentation testing.
- Active practical use of AI tooling such as Claude Code, Codex, Cursor, or custom LLM integrations.
- Preferred experience with Cilium, eBPF, Hubble, service meshes, SPIFFE/SPIRE, ZTNA, identity-aware proxies, policy-as-code, admission control, network detection, incident containment, SOC 2, FFIEC-style examinations, or regulated fintech and payments environments.
Benefits
- Full-time remote position.
- Monthly gross salary range of $5,000–$9,500 USD, based on experience.
- Participation in an on-call rotation for owned security controls.
- Opportunity to work with open-source technologies and AI-assisted engineering workflows.
Tech Stack
AWSBashElasticsearchGitGoHelmIstioKubernetesMySQLPostgreSQLPythonReactReact NativeTerraformTypeScript
Categories
About Sezzle
Sezzle builds a buy now, pay later platform that lets consumers split purchases into interest-free installments online and in stores, integrated with e-commerce and retail merchants. The company earns revenue from merchant fees and related consumer charges and provides underwriting and payment processing services. Founded in 2016 and headquartered in Minneapolis, Sezzle is a public company dual-listed on Nasdaq and the ASX.