
201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
🔥 0 minutes ago
🇨🇴 Colombia – Remote
💵 $5k - $9.5k / month
⏰ Full Time
🟠 Senior
🛜 Network Engineer / Network Administrator
👻 Ghost score 21%
Where this job comes from
Posted on Sezzle's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

201 - 500 employees
Founded 2016
💳 Fintech
👥 B2C
🛍️ eCommerce
Fintech • B2C • eCommerce
Sezzle is a financial technology company that offers a "buy now, pay later" service, allowing consumers to purchase products and pay for them in four interest-free installments over six weeks. The Sezzle app provides users with a flexible financing alternative to traditional credit cards, enabling instant approval decisions without impacting credit scores. Sezzle partners with various top brands, including Amazon, Walmart, and Target, to offer in-app and in-store payment options. The company's mission is to empower consumers financially by providing more financial freedom and control. It is available as a mobile app, with millions of downloads and high user ratings, and works towards accessibility and inclusion on its platform.
• Own east-west segmentation across Kubernetes clusters using default-deny micro-segmentation and explicitly allowed, 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 • Segment production and the cardholder-data environment, enforce CDE and high-trust-tier boundaries, and conduct segmentation testing • Partner with IT to evaluate and deliver per-application private access/ZTNA • Own east-west and north-south network telemetry and feed identity-aware flow data to the SIEM • Own cluster admission control, infrastructure-as-code network controls, and automated drift detection and remediation • Build containment mechanisms for isolating workloads or segments during lateral-movement incidents • Participate in threat modeling, traffic-flow design reviews, and the on-call rotation • Write policies, tooling, and rollout automation and coordinate changes across other teams’ services • Use and build agentic AI workflows for flow analysis, policy generation, and drift review • Report to the Director of Information Security and collaborate with security platform, detection and response, platform, IAM, and IT teams
• 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, including CNI, NetworkPolicy semantics, DNS, ingress/egress, and live-cluster segmentation 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 using Terraform and Helm or equivalents through merge requests and CI • Ability to write production 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, CDE 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, incident containment, SOC 2, FFIEC-style expectations, and regulated-industry experience
• Competitive gross salary of $5,000–$9,500 USD per month, based on experience level • AI-assisted engineering workflows and tools • On-call rotation participation for owned controls • Collaborative work with security platform, detection and response, platform, IAM, and IT teams • Open-source-focused technology environment • Full-time employment
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