Principal Infrastructure Engineer

This is a fully remote position, open to applicants in Turkey.

📋 Description

• Design, develop, manage, and enhance Sezzle’s infrastructure platform.

• Take ownership of intricate technical projects from architecture and prototyping to implementation, production deployment, and ongoing management.

• Recognize system limitations and implement enhancements to accommodate increased traffic, data volume, and workload complexity.

• Integrate business workflows with infrastructure advancements across applications, data, and systems.

• Construct capacity models, conduct load and stress testing, identify bottlenecks, and confirm improvements in throughput, latency, saturation, and costs.

• Design robust AWS account structures, IAM configurations, networks, and service architectures.

• Develop and manage the Kubernetes platform, ensuring lifecycle automation, workload isolation, autoscaling, upgrades, and deployment reliability.

• Scale and optimize Aurora RDS for MySQL and Postgres databases.

• Establish service-level objectives and error budgets; implement failure isolation, backpressure, load shedding, and safe retries.

• Engage in on-call duties and lead technical recovery efforts during critical incidents and outages.

• Create, test, and document disaster recovery, backup, restoration, and failover strategies.

• Develop infrastructure-as-code solutions and operational automation.

• Enhance observability through metrics, logs, traces, dashboards, and actionable alerts.

• Execute safe infrastructure migrations with phased rollouts, validation, and rollback strategies.

• Improve cloud cost efficiency through technical modifications.

• Develop and assess AI-assisted operational tools.

• Draft architecture proposals, evaluate technology trade-offs, review shared infrastructure changes, and document system operations and failure scenarios.

• Report to engineering leadership and collaborate with application engineers, Security, and Compliance teams.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related technical field (mandatory).

• Over 12 years of experience in infrastructure, platform, site reliability, software development, or similar engineering fields.

• Extensive production experience with AWS, covering compute, IAM, multi-account architectures, networking, VPC design, and private connectivity.

• In-depth production expertise with Kubernetes, including cluster lifecycle management, scheduling, resource allocation, autoscaling, networking, and troubleshooting.

• Strong proficiency with RDS/Aurora MySQL and/or Postgres at scale.

• Proven track record of personally delivering improvements in infrastructure scaling.

• Proficient coding and automation skills in Golang, Python, or similar programming languages.

• Experience with infrastructure-as-code using Terraform or similar tools.

• Solid understanding of systems fundamentals including Linux, networking, DNS, TLS, storage, concurrency, and distributed system failure modes.

• Experience managing a 24/7 high-availability platform with direct customer or revenue impact.

• Willingness to participate in an on-call rotation.

• Experience in implementing and testing disaster recovery against established recovery objectives.

• Practical knowledge of observability, load testing, capacity planning, and safe CI/CD practices.

• Active usage of AI tools in engineering or operational contexts.

• Capability to navigate ambiguous technical challenges through to production delivery and collaborate across engineering disciplines.

• Preferred qualifications include experience in fintech, payments, or banking; familiarity with multi-region architectures; chaos engineering; tools such as Prometheus, Grafana, Loki, Tempo; internal platform capabilities; and AI-assisted incident investigation or operational automation.

🏝️ Benefits

• Competitive gross monthly salary ranging from $12,500 to $20,800 USD.

• Remote working opportunity in Türkiye.

• Chance to collaborate with a global fintech and retail technology organization.

• Exposure to AWS, Kubernetes, Aurora RDS, AI-assisted infrastructure, and SRE tooling.

• An open-source-focused engineering environment.