Senior Software Engineer, Ecommerce Web Applications (US/Canada)

CSC Generation

13d•$75,000 - $105,000•Remote

About The Position

Backcountry is looking for a senior engineer to own the architecture, development, and reliability of the web applications powering our ecommerce business — the customer-facing storefront, the back-office operations platform, and the supporting services that connect them. As Senior Software Engineer, Ecommerce Web Applications, you will work primarily in PHP applications (a Symfony-based storefront and a Laravel back-office platform), shape the front-end experience with JavaScript and CSS, and drive technical direction that the rest of the team builds on. Within your first 6–12 months you will have delivered measurable improvements to system reliability and performance, reduced technical debt in legacy components, established patterns that lift the whole team's delivery velocity, and become a trusted technical leader others turn to. AI coding tools are core to how this team works — you will use AI-assisted development daily, raise the bar for how the team leverages it, and help define the workflows, patterns, and guardrails that make AI-augmented engineering effective and safe. This is a lean team. You will own a lot, move fast, and make decisions with full end-to-end responsibility.

Requirements

Bachelor's or Master's degree in Computer Science or a related field, or equivalent professional experience.
5+ years of professional software development experience with a strong ecommerce or high-traffic web application background.
Deep, hands-on expertise with PHP, including production experience with Symfony and/or Laravel.
Strong front-end skills with JavaScript and CSS, and a solid grasp of web fundamentals (HTTP, browser behavior, performance, accessibility).
Strong understanding of relational databases and SQL, including query optimization and schema design.
Proven experience designing, building, and maintaining production systems with real end-to-end ownership.
Hands-on experience leveraging AI coding tools for development, and the ability to mentor others on using them effectively. This is an AI-development-driven team.
Experience with testing practices (unit/integration), Git workflows, and CI/CD.
Excellent communication and collaboration skills, and a track record of mentoring engineers and influencing technical direction.

Nice To Haves

Experience defining or scaling AI-assisted development workflows across a team (agents, prompts, tooling, guardrails).
Python experience (Flask or data tooling) for supporting services.
Experience with Docker, Kubernetes, and cloud platforms (GCP or AWS).
Familiarity with front-end build tools (Webpack / Laravel Mix), package managers (Composer, npm), and templating engines (Blade, Twig).
Experience with event-driven or message-based architectures (e.g., RabbitMQ / AMQP).
Experience improving observability and monitoring (structured logging, dashboards, tracing).
Experience modernizing or incrementally refactoring legacy codebases.

Responsibilities

Drive architecture, hands-on development, testing, deployment, documentation, and production support across PHP web applications (a Symfony-based customer storefront and a Laravel back-office platform).
Lead front-end direction with JavaScript (including jQuery) and CSS to deliver responsive, accessible, high-performing customer experiences.
Champion and evolve the team's AI-assisted development workflows: use AI tools daily, share techniques, and raise the bar for how effectively and responsibly the team uses them.
Own the data layer: design and optimize queries and schema interactions against relational databases (SQL Server and PostgreSQL) and supporting services.
Set and uphold engineering standards through code review, mentorship, testing practices, and clear technical documentation (design docs, runbooks, onboarding material).
Improve reliability, observability, alerting, and incident response for mission-critical, customer-facing systems.
Identify opportunities to simplify legacy components, reduce technical debt, and deliver long-term efficiency gains.
Break large initiatives into deliverable chunks and clearly communicate status, roadblocks, and dependencies to engineering and product leadership.
Partner with Product, QA, and Engineering leadership to ship scalable, user-focused features that elevate business value.