Note: The job is a remote job and is open to candidates in USA. EZCORP is hiring a Senior Engineer to deliver software across its digital product portfolio, including mobile and web applications, e-commerce platforms, internal store applications, and enterprise integrations. The role leads concurrent projects and technical workstreams while building full-stack systems and integrating AI/ML capabilities into production.
Responsibilities
- Lead and manage multiple concurrent projects simultaneously - owning technical direction, delivery timelines, and quality outcomes across parallel workstreams
- Break down complex initiatives into executable plans - features, milestones, dependencies, risks and drive them to completion
- Coordinate and direct the work of other engineers and contractors across distributed teams (US, LATAM, India), ensuring consistent standards and velocity
- Serve as the primary technical point of contact for assigned projects - providing status, surfacing risks early, and communicating tradeoffs to engineering leadership and product stakeholders
- Conduct code reviews across projects, enforcing quality standards for both human-written and AI-generated code
- Mentor engineers on AI-assisted development practices, architectural patterns, and delivery discipline
- Balance hands-on execution with delegation - knowing when to build, when to direct, and when to unblock others
- Design, build, and maintain full-stack applications using React, Angular, and Node.js across EZCORP's digital product portfolio
- Solve complex problems related to scalability, reliability, performance, and reusability
- Work with Product Managers, UX Designers, and engineers to understand and refine features using agile methodologies
- Establish industry-standard QA automation - leveraging AI to generate test plans, unit tests, and automation suites in parallel with development
- Support the build and management of backend infrastructure including integrations with third-party vendors and internal platform services
- Contribute to a maintainable, high-quality, performant codebase structured for both human maintainability and AI-assisted extensibility
- Explore, assess, and prototype new technologies to drive innovation and problem solving
- Actively engage in product and technical discussions for feasibility and adherence to overall roadmaps and architectural strategy
- Leverage AI coding tools (Claude Code, GitHub Copilot) as primary accelerators for development, code review, and refactoring
- Prototype and validate solutions rapidly using AI-assisted development compressing proof-of-concept cycles from weeks to days
- Design and integrate AI/ML capabilities into platform services, including LLM integrations, computer vision workflows, vector search, RAG pipelines, intelligent data processing, and workflow automation
- Build and maintain agentic workflows and AI-augmented pipelines that operate within defined governance and human-in-the-loop controls
- Follow and contribute to EZCORP's AI governance standards - code generation guardrails, review requirements, and documentation practices
- Ensure quality and security of AI-generated code through rigorous review - AI accelerates, humans validate
- Stay current on emerging AI tools, models, and practices; recommend and drive adoption where beneficial
- Support production operations and reliability for team-owned systems
- Participate in on-call rotation and incident response for assigned applications
- Conduct root cause analysis for production issues and implement preventive measures
- Monitor application performance using observability tooling (Datadog, Dynatrace), identify optimization opportunities, and implement improvements
Skills
- Bachelor's or Master's degree in Computer Science / Computer Engineering, or equivalent experience
- 7+ years of software development experience, including 3+ years building production applications with React and/or Angular, 3+ years developing backend services using Node.js, and 2+ years leading projects or technical workstreams
- Demonstrated experience managing multiple concurrent projects and shifting priorities without dropping quality or timelines
- Demonstrated hands-on experience using AI coding tools (Claude Code, GitHub Copilot) in real production workflows and not just experimentation
- Experience integrating AI/ML capabilities into production systems — LLM APIs, computer vision, vector search, or intelligent automation
- Experience designing APIs, data models, and system interfaces with explicit contracts that enable AI tools to generate correct implementations
- Strong architectural thinking and ability to design systems that balance human maintainability with AI-assisted extensibility
- Excellent communication and collaboration skills, including ability to explain architectural decisions to technical and non-technical stakeholders and mentor others on AI-assisted development
- Experience with Azure and AWS services
- Experience with mobile development (React Native, iOS/Android)
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