Principal Infrastructure Engineer
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Job Description
Principal Infrastructure Engineer scaling Sezzle’s AWS, Kubernetes, and database platform. Improving reliability, performance, disaster recovery, and cost efficiency for its interest-free fintech payments business.
Responsibilities:
- Design, build, operate, and scale Sezzle's infrastructure platform
- Own complex technical initiatives from architecture and prototyping through implementation, production rollout, and ongoing operation
- Identify system limits and implement improvements for increasing traffic, data volume, and workload complexity
- Connect business workflows and transaction patterns to infrastructure improvements across applications, data, and systems
- Build capacity models, run load and stress tests, diagnose bottlenecks, and validate throughput, latency, saturation, and cost improvements
- Design resilient AWS account, IAM, network, and service architectures, including multi-AZ or multi-region solutions
- Build and operate the Kubernetes platform, including lifecycle automation, workload isolation, resource allocation, autoscaling, upgrades, and deployment reliability
- Scale and optimize Aurora RDS for MySQL and Postgres, including queries, indexes, connections, replication, failover, schema changes, and migrations
- Define and instrument service-level objectives and error budgets; implement failure isolation, backpressure, load shedding, and safe retries
- Participate in on-call and lead technical recovery during serious incidents and outages
- Implement and test disaster recovery, backups, restores, and failover against recovery objectives
- Build infrastructure-as-code and operational automation for provisioning, configuration, deployments, upgrades, and recovery
- Improve observability through metrics, logs, traces, dashboards, and actionable alerts
- Deliver safe infrastructure migrations with phased rollouts, validation, compatibility checks, and rollback paths
- Improve cloud cost efficiency through resource right-sizing, utilization, autoscaling, storage tuning, and quantified savings
- Build and evaluate AI-assisted tooling for incident investigation, runbooks, anomaly analysis, and toil reduction
- Write architecture proposals, evaluate tradeoffs through prototypes and benchmarks, review shared-infrastructure changes, and document system operation and failure
- Report to engineering leadership and collaborate with application engineering, Security, and Compliance
Requirements:
- 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
- Deep production expertise with AWS, including compute, IAM, multi-account architectures, VPC design, and private connectivity
- Deep production expertise with Kubernetes, including cluster lifecycle, scheduling, resource management, autoscaling, networking, and troubleshooting
- Deep expertise with RDS/Aurora MySQL and/or Postgres at scale
- Track record of personally delivering infrastructure scaling improvements
- Strong coding and automation skills using Golang, Python, or similar languages
- Infrastructure-as-code experience with Terraform or equivalent
- Strong systems fundamentals in Linux, networking, DNS, TLS, storage, concurrency, and distributed-system failure modes
- Experience operating a 24/7 high-availability platform with direct customer or revenue impact
- Hands-on incident response and postmortem remediation experience
- Willingness to participate in an on-call rotation
- Experience implementing and testing disaster recovery against defined recovery objectives
- Practical experience with observability, load testing, capacity planning, and safe CI/CD practices
- Active use of AI tooling in engineering or operations
- Ability to carry ambiguous technical problems through production delivery and collaborate across engineering disciplines
- EKS experience, fintech/payments/banking experience, multi-region architectures, chaos engineering, Prometheus/Grafana/Loki/Tempo, internal platform capabilities, and AI-assisted operational automation are preferred
Benefits:
- Competitive gross monthly compensation of $12,500–$20,800 USD based on location and experience level
- Open-source-focused technology environment
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