Senior Software Engineer

Asurion•Smyrna, GA

4d•Hybrid

About The Position

Senior Software Engineer (Fraud Technology) Location: Nashville, TN (hybrid) At Asurion, we build products and experiences that help people stay connected and protected. Within Fraud Technology, our mission is to protect customers by delivering software that adapts quickly to evolving threats. We value open-source technologies, strong engineering judgment, and diverse perspectives in small, empowered teams. We are seeking a Senior Software Engineer to design, build, and evolve secure, scalable software across the full stack. You will lead technical delivery for product and platform investments, partner closely with product managers, UX designers, and engineers, and help shape system design, code review, and team development. This role offers visible impact through architecture, production ownership, and mentorship. Why this opportunity stands out Mission-critical fraud impact: build software that protects customers against rapidly changing threats. Senior-level influence: shape architecture, standards, and team capability while staying close to the code. End-to-end ownership: work across React/TypeScript, Java or Node.js, SQL/NoSQL, AWS, CI/CD, observability, and AI-enabled workflows. Small, empowered teams: solve hard problems in a collaborative, low-ego environment where thoughtful ideas move quickly into production.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Electronics Engineering, or a related field.
Three or more years of professional experience building modern web applications and back-end systems, with demonstrated ownership in production.
Strong computer science fundamentals, including sound knowledge of data structures, algorithms, and object-oriented and/or functional design principles.
Experience working in a modern agile software development lifecycle with Git-based workflows and collaborative engineering practices.
Strong proficiency in JavaScript and/or TypeScript and experience with React, Redux, ES6, or similar technologies.
Experience building RESTful services using Java or Node.js and integrating with relational and/or NoSQL data stores.
Experience with automated testing using frameworks such as Jest, Mocha, Jasmine, or similar tools.
Strong communication skills, sound engineering judgment, and the ability to influence technical decisions across cross-functional partners.

Nice To Haves

Experience with AWS or other cloud platforms, containerized applications, and microservices architectures.
Experience building high-performance, resilient, distributed systems and services.
Experience with observability, monitoring, alerting, performance tuning, and production diagnostics.
Experience with secure coding, threat modeling, vulnerability remediation, fraud, risk, identity, or trust-and-safety platforms.
Experience designing cloud-aware or cloud-agnostic services that reduce unnecessary provider lock-in.
Experience mentoring engineers and helping improve engineering practices across a team.
Relevant certifications in cloud, secure coding, or security engineering are a plus.

Responsibilities

Design, implement, test, and deliver scalable full-stack features and services that protect customers, reduce risk, and improve trusted experiences.
Lead API design and technical approaches for complex features spanning user interfaces, services, data, and cloud infrastructure.
Own technical delivery for a component or feature area, translating business goals into clear plans and maintainable solutions.
Write high-quality, well-tested code and raise the bar through thoughtful code reviews, standards, and mentorship.
Define and improve validation policies, deployment guardrails, packaging reliability, and production readiness across release workflows.
Drive systems design discussions, evaluate tradeoffs in scalability, reliability, performance, and security, and document decisions clearly.
Strengthen observability, investigate production issues, perform root-cause analysis, and improve resiliency, performance, and secure coding practices.
Partner with product managers, UX designers, risk stakeholders, and engineering peers in an agile environment to deliver customer-centered solutions.
Apply AI-enabled tools thoughtfully, evaluate AI-generated solutions for quality, security, and maintainability, and identify opportunities for high-value AI-assisted features or workflows.