Senior Back-end Engineer - PHP, Node.js

New

JobgetherCommerce solutions

Fully remote opportunity within EMEAFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of professional backend software development experience with strong proficiency in PHP or Node.js.
Strong experience designing and developing high-load systems, distributed architectures, Domain-Driven Design (DDD), and CQRS.
Solid understanding of software engineering principles and best practices, including SOLID, Test-Driven Development (TDD), CI/CD, and Agile methodologies.
Hands-on experience with backend technologies such as PHP 8.1+, Symfony, Laravel, Yii2, Doctrine, or comparable frameworks and libraries.
Experience working with databases and infrastructure technologies such as MySQL, PostgreSQL, MongoDB, Redis, AWS, Kubernetes, and Docker.
Strong debugging, testing, performance optimization, and problem-solving skills.
Product-minded approach, with the ability to prioritize technical work according to business value and user impact.
Strong sense of ownership, initiative, and accountability, with the ability to work independently in a fast-changing environment.
Good spoken and written English communication skills.
Practical experience using LLMs and coding assistants such as Claude or GitHub Copilot.
Strong collaboration skills and willingness to contribute through code reviews, pair programming, knowledge sharing, and cross-functional teamwork.

Design, develop, test, and ship high-quality backend solutions that are scalable, reliable, maintainable, and aligned with product goals.
Work primarily with PHP or Node.js while developing the flexibility and expertise to contribute across both backend ecosystems.
Design and improve high-load architectures using distributed systems principles, Domain-Driven Design, CQRS, and modern software engineering practices.
Collaborate closely with Product Managers, stakeholders, and fellow engineers to translate business requirements into effective technical solutions.
Take end-to-end ownership of technical initiatives, from solution design and prioritization through implementation, testing, deployment, and continuous improvement.
Identify technical debt, performance bottlenecks, bugs, and opportunities for platform improvements, prioritizing work according to business and user impact.
Contribute to engineering quality through code reviews, refactoring, unit testing, pair programming, and continuous integration and deployment.
Troubleshoot complex issues, optimize application performance, and help maintain reliable production systems.
Participate in knowledge-sharing sessions, technical discussions, and mentoring opportunities while continuously improving engineering practices.
Use AI-assisted development tools and LLMs effectively for architectural exploration, implementation, testing, debugging, documentation, and code quality.

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