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Principal Software Engineer - Platform (hybrid)

Enova International
CompanyEnova International
CategoryUncategorised
LocationChicago
RemoteHybrid
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted14 May 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time. About the Role The Tech Platform team is the backbone of Enova's engineering organization — building, maintaining, and evolving the foundational platform components that power our products, brands, and engineering teams across the company. Spanning IT, Tech Ops, and Platform Software Engineering, we operate at the intersection of infrastructure, tooling, and developer experience. As a Principal Engineer on Tech Platform, you will set the technical direction for platform-wide initiatives, drive the adoption and responsible use of AI across the engineering organization, and ensure our architecture evolves to meet the demands of a growing, innovative FinTech company. This is a highly visible role: you will influence how Enova builds software, how engineers experience their tools, and how AI becomes a durable part of our engineering culture. Responsibilities Technical Strategy & Architecture Identify gaps in architecture, technology, tooling, and process — and take ownership of addressing them. Ensure that new platform systems and services are sensible, secure, scalable, and aligned with Enova-wide design principles. Conduct or lead proof-of-concept efforts with the goal of widening Enova's technology advantages. Identify, evaluate, and champion new applications for AI that improve platform reliability, developer productivity, and engineering velocity. Cross-Team Leadership & Influence Partner with technical leads across teams to translate strategy into actionable, prioritized work. Manage timeline feasibility and proactively communicate changes and pivots to stakeholders and leaders. Actively participate in large cross-team forums and enterprise-level initiatives. Represent engineering in cross-functional AI governance and vendor discussions, ensuring platform and engineering perspectives are well-represented. Mentorship & Engineering Culture Provide guidance, mentorship, and oversight to Tech Leads and engineers, particularly during incident resolution and complex project work. Establish and evangelize Enova-wide design principles and coding standards to ensure consistently high-quality technical solutions. Provide perspective on leading industry trends and offer insight into emerging technologies relevant to the platform. Requirements 7+ years of software engineering experience designing, implementing, and supporting systems and software in large, complex environments. 2+ years operating as an architect or principal-level engineer across multiple connected systems or teams. Demonstrated experience building with, advocating for, or deploying AI — including LLMs, agentic tools, or AI-assisted development workflows. Strong familiarity with distributed systems architecture, domain-driven design (DDD), and service-oriented architecture (SOA) principles. Ability to influence and direct technical strategy across multiple teams without direct authority. Excellent analytical and communication skills — comfortable tailoring your message to engineers, product partners, and senior leadership alike. Experience working with Lean and Agile development concepts across multiple teams and products. Experience with message-oriented middleware, queueing services, or event-driven architectures. Proficiency in one or more of Enova's core languages and technologies: Go, Ruby, or AWS. Bachelor's degree in Computer Science, Engineering, or equivalent experience. Nice to Have Direct experience on a platform, infrastructure, or developer experience team. Experience with cloud platforms, particularly AWS, and infrastructure-as-code tools such as Terraform. Familiarity with containerization and orchestration technologies (Kubernetes, Docker). Contributions to
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