
Principal Infrastructure Engineer
Posted Sep 13

Posted Sep 13
This is a fully remote position, open to applicants in Poland.
β’ Design, construct, manage, and enhance Sezzle's infrastructure platform.
β’ Take ownership of intricate technical projects from architecture and prototyping to implementation, production rollout, and continuous operation.
β’ Recognize system limitations and implement enhancements to accommodate increased traffic, data volume, and workload complexity.
β’ Link business workflows and transaction patterns to infrastructure enhancements across applications, data, and systems.
β’ Develop capacity models, conduct load and stress testing, identify bottlenecks, and validate improvements in throughput, latency, saturation, and costs.
β’ Design resilient AWS accounts, IAM, network, and service architectures, including multi-AZ or multi-region solutions.
β’ Build and manage the Kubernetes platform, encompassing lifecycle automation, workload isolation, resource allocation, autoscaling, upgrades, and deployment reliability.
β’ Scale and optimize Aurora RDS for MySQL and Postgres, addressing queries, indexes, connections, replication, failover, schema changes, and migrations.
β’ Define and instrument service-level objectives and error budgets; implement failure isolation, backpressure, load shedding, and safe retry mechanisms.
β’ Participate in on-call duties and lead technical recovery during critical incidents and outages.
β’ Implement and evaluate disaster recovery, backups, restores, and failover processes against recovery objectives.
β’ Develop infrastructure-as-code and operational automation for provisioning, configuration, deployments, upgrades, and recovery.
β’ Enhance observability through metrics, logs, traces, dashboards, and actionable alerts.
β’ Ensure safe infrastructure migrations with phased rollouts, validation, compatibility checks, and rollback strategies.
β’ Improve cloud cost efficiency through resource right-sizing, utilization, autoscaling, storage optimization, and quantified savings.
β’ Build and assess AI-assisted tools for incident investigation, runbooks, anomaly detection, and toil reduction.
β’ Draft architecture proposals, evaluate trade-offs through prototypes and benchmarks, review changes to shared infrastructure, and document system operations and failures.
β’ Report to engineering leadership and collaborate with application engineering, Security, and Compliance teams.
β’ Bachelor's degree in Computer Science or a related technical field (required).
β’ Over 12 years of experience in infrastructure, platform, site reliability, software development, or related engineering fields.
β’ Extensive production expertise with AWS, covering compute, IAM, multi-account architectures, VPC design, and private connectivity.
β’ Profound production expertise with Kubernetes, including cluster lifecycle management, scheduling, resource allocation, autoscaling, networking, and troubleshooting.
β’ In-depth knowledge of RDS/Aurora MySQL and/or Postgres at scale.
β’ Proven track record of delivering infrastructure scaling improvements personally.
β’ Strong coding and automation abilities using Golang, Python, or similar programming languages.
β’ Experience with infrastructure-as-code tools such as Terraform or equivalent.
β’ Strong foundational knowledge in Linux, networking, DNS, TLS, storage, concurrency, and distributed system failure modes.
β’ Experience managing a 24/7 high-availability platform with direct customer or revenue impact.
β’ Hands-on experience in incident response and postmortem remediation.
β’ Willingness to participate in an on-call rotation.
β’ Experience in implementing and testing disaster recovery in line with defined recovery objectives.
β’ Practical experience in observability, load testing, capacity planning, and safe CI/CD practices.
β’ Active utilization of AI tools in engineering or operations.
β’ Ability to navigate ambiguous technical challenges through to production delivery while collaborating across various engineering disciplines.
β’ Preferred qualifications include EKS experience, fintech/payments/banking background, multi-region architectures, chaos engineering expertise, knowledge of Prometheus/Grafana/Loki/Tempo, internal platform capabilities, and AI-assisted operational automation.
β’ Competitive gross monthly compensation ranging from $12,500 to $20,800 USD based on location and experience level.
β’ Open-source-focused technology environment.
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