Sr. Software Development Engineer

McAfee•Frisco, TX

7h•Hybrid

About The Position

We are seeking a senior, hands-on Senior Software Development Engineer with 8+ years of experience in delivering enterprise-scale, high-performance eCommerce platforms that support McAfee’s global customer acquisition and retention initiatives. This role requires a strong architectural leader who can make end-to-end technical decisions, influence platform strategy, mentor engineering teams, and remain deeply hands-on, contributing production code across cloud native microservices and legacy systems. The Solution Architect will play a key role in evolving our engineering ecosystem by leveraging AI-powered developer tools, modern cloud native architectures, and proven software engineering practices, while ensuring stability and performance of business critical platforms. This is a Hybrid position located in Frisco, TX. You will be required to be on-site on an as-needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance of Frisco, TX. We are not offering relocation assistance at this time.

Requirements

8+ years of professional software engineering experience, including substantial ownership of solution architecture.
Proven experience as a Solution Architect, Technical Architect, or Senior/Principal Engineer with ability to lead teams, influence decisions, and mentor engineers.
Deep, hands‑on expertise in C#, .NET Core, and Node.js to design, build, and maintain scalable, secure backend services and RESTful APIs.
Proven experience designing schemas, writing optimized queries, and tuning performance using SQL Server, PostgreSQL, DynamoDB and MySQL.
Ability to architect and guide modern, responsive user interfaces using HTML, CSS, JavaScript, Vue.js, and React, ensuring high performance, usability, and seamless integration with backend services.
Handson ownership of ecommerce platforms, including PCIcompliant payment integrations, checkout flow optimization, and continuous improvement of Payment Success Rate (PSR) and Conversion Rate (CVR) through experimentation and A/B testing.
Strong experience designing, deploying, and supporting AWSbased architectures, working across legacy monoliths and modern microservices, with emphasis on scalability, resiliency, observability, and cost efficiency.
Experience designing and operating distributed systems using Kafka or similar messaging platforms to support asynchronous, eventdriven workflows.
Active use of AIpowered developer tools (e.g., GitHub Copilot, Claude Code) to accelerate development, improve code quality, and optimize engineering workflows; ability to evaluate and adopt emerging tools and technologies.
Proven experience architecting and implementing CI/CD pipelines using modern DevOps practices, including containerization with Docker, orchestration with Kubernetes, and automated build, test, security scanning, and deployment workflows to support high‑velocity, reliable releases.
Exposure to Go (Golang), CMS platforms (AEM or similar), and data analysis, applied to improving platform scalability, operational efficiency, and customer experience.
Proven experience in balancing short-term delivery with long-term architectural vision.

Responsibilities

Own end‑to‑end solution architecture for complex web platforms, APIs, and integrations.
Make and lead architectural and technology decisions across legacy monoliths and modern microservices architecture.
Act as a hands‑on technical leader, contributing production code and guiding teams through design and code reviews.
Architect, build, test, and deploy scalable, secure, and high‑performance applications.
Support and evolve backend and platform workloads, including web applications, RESTful APIs, microservices, and cloud-based solutions (AWS preferred).
Drive adoption of AI-powered developer tools like GitHub Copilot and Claude Code to improve productivity, code quality, and engineering velocity.
Proactively evaluate, adopt, and showcase new tools, frameworks, and technologies to the engineering organization.
Stay current with AI trends, identifying opportunities to enhance customer experience and operational efficiency.
Architect and support e‑commerce platforms, including payment integrations, checkout optimization, and experimentation.
Improve engineering processes through automation, AI adoption, and continuous optimization.