With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
🏢 About Sezzle
Sezzle is a fintech company that offers interest-free installment plans to make shopping more accessible. We blend cutting-edge technology with seamless payment solutions that empower the next generation of shoppers. Our mission is to revolutionize the shopping experience beyond payments, creating a smarter and more accessible way to purchase the things people love. We are transforming the fintech and retail industries by driving real impact on merchant sales through increased conversions and higher order values.
🎯 The Role
We are seeking an exceptional Principal Infrastructure Engineer to design, build, operate, and scale the platform that powers Sezzle. Your focus will be the hardest infrastructure problems: increasing throughput, reducing latency, removing capacity bottlenecks, strengthening resilience, and making production operations more automated and predictable as the business grows.
You will own complex technical initiatives from architecture and prototyping through implementation, production rollout, and ongoing operation. Your impact will come from the systems you build, the problems you solve, and measurable improvements in reliability, performance, and cost efficiency.
✅ Key Responsibilities
Own the technical architecture and evolution of core infrastructure: identify system limits, prioritize technical improvements, and implement changes that support increasing traffic, data volume, and workload complexity.
Engineer for scale and performance: build capacity models, run load and stress tests, diagnose bottlenecks across compute, networking, Kubernetes, and databases, and validate improvements against throughput, latency, saturation, and cost per workload.
Design and build AWS infrastructure: implement resilient account, IAM, network, and service architectures; address service quotas, fault isolation, and multi-AZ or multi-region requirements as workloads grow.
Build and operate the Kubernetes platform: improve cluster architecture, lifecycle automation, workload isolation, resource allocation, autoscaling, safe upgrades, and deployment reliability.
Improve reliability through engineering: define and instrument service-level objectives and error budgets with service owners; implement failure isolation, backpressure, load shedding, and safe retry behavior where needed to prevent cascading failures.
Participate in on-call and drive technical recovery during serious incidents: use evidence-based triage, execute mitigations, communicate findings, and implement corrective actions from postmortems.
Implement and test disaster recovery: design backup, restore, and failover mechanisms against agreed recovery time and recovery point objectives; run recovery exercises and document measured results.
Build infrastructure-as-code and operational automation: make provisioning, configuration, deployments, upgrades, and recovery reproducible, reviewed, testable, and recoverable. Eliminate recurring manual work through code.
Build observability that makes production diagnosable: improve metrics, logs, traces, dashboards, and actionable alerts, with visibility into service health, scaling limits, and customer impact.
Deliver safe infrastructure migrations: design phased rollouts, compatibility checks, validation, and rollback paths for changes to shared production systems.
Improve cloud cost efficiency through technical changes: right-size resources, improve utilization, tune autoscaling and storage, and quantify savings while maintaining reliability and performance targets.
Build and evaluate AI-assisted operational tooling: apply AI to investigation, runbooks, anomaly analysis, and repetitive operations, with bounded permissions, reviewable actions, and measurable improvements in accuracy or toil.
Make technical decisions clear and executable: write architecture proposals, evaluate technology tradeoffs through prototypes and benchmarks, review changes affecting shared infrastructure, and document how systems operate and fail.
📌 Required Qualifications
Bachelor's degree in Computer Science or a similar technical field (required)
12+ years of experience across infrastructure, platform, site reliability, software development, or related engineering disciplines, with substantial hands-on depth designing and operating production infrastructure at scale.
Deep expertise with AWS: production experience across compute, IAM, multi-account architectures, and networking, including VPC design and private connectivity.
Deep expertise with Kubernetes in production: cluster lifecycle, scheduling, resource management, autoscaling, networking, and troubleshooting business-critical workloads. EKS experience is strongly preferred.
Deep expertise with relational databases at scale, specifically RDS/Aurora (MySQL and/or Postgres): query performance, indexing, connection management, replication, high availability, failover, and verified backup and recovery.
A track record of personally delivering infrastructure scaling improvements: identifying constraints, measuring baseline behavior, implementing changes, and demonstrating gains in capacity, latency, reliability, or cost efficiency.
Strong coding and automation skills, using Golang, Python, or similar languages to build production tooling and eliminate operational toil, alongside infrastructure-as-code experience with Terraform or equivalent.
Experience operating a 24/7, high-availability platform where downtime has direct customer or revenue impact, including hands-on incident response and postmortem remediation.
Willingness to participate in an on-call rotation and demonstrated ability to recover production systems under pressure using evidence-based triage, safe mitigation, and clear technical communication.
Experience implementing and testing disaster recovery against defined recovery objectives, including restoring data and validating service recovery.
Practical experience with observability, load testing, capacity planning, and safe CI/CD practices for shared production infrastructure.
Active use of AI tooling in engineering or operations, with practical judgment about its limitations and how to verify generated code, recommendations, and operational actions.
Ability to carry ambiguous technical problems from investigation through production delivery and collaborate across engineering disciplines to resolve system-wide constraints.
⭐ Desirable Experience
Experience in fintech, payments, or banking, operating infrastructure with demanding reliability, security, and audit requirements.
Experience with multi-region architectures, chaos engineering, and failure testing, including the consistency and recovery tradeoffs of distributed data systems.
Proficiency with Prometheus, Grafana, Loki, Tempo, or comparable observability systems.
Experience building internal platform capabilities and self-service tooling, including deployment automation, progressive delivery, and reusable infrastructure components.
Experience building AI-assisted incident investigation or operational automation with restricted access, auditable execution, and clear human review points
🎁 Benefits
For this principal development role, with 12+ years of experience, the compensation range is $12,500 - $20,800 USD based on location and experience level per month and in gross amount. This range acknowledges the extensive expertise, leadership capabilities, and significant contributions expected at this level, offering a competitive salary to reflect the value of advanced skills and experience.
🛂 Visa & Eligibility
No specific visa or eligibility information provided.
