Senior Back-end Engineer - PHP, Node.js
New
J
JobgetherCommerce Software
Fully remote across EMEA, including Romania.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Good level of spoken and written English.
- Experience
- 5+ years of professional back-end development experience
- Required Skills
- AWSDockerNode.jsPHPKubernetesCI/CDDistributed Systems
Requirements
- 5+ years of professional back-end development experience.
- Strong proficiency in PHP or Node.js with a willingness to develop expertise in the other.
- Knowledge of high-load architecture, distributed systems, Domain-Driven Design (DDD), and CQRS.
- Understanding of software engineering principles including SOLID, TDD, CI/CD, Agile, and automated testing.
- Experience with PHP 8.1+, Symfony, Laravel, Yii2, Doctrine, or PHPUnit.
- Experience with MySQL, PostgreSQL, MongoDB, Redis, AWS, Kubernetes, and Docker.
- Strong debugging, testing, and application-performance optimization skills.
- Familiarity with Git, GitLab/GitHub, Grafana, Kibana, Prometheus, and Postman.
- Practical experience using LLMs and coding assistants such as Claude or GitHub Copilot.
- Strong product mindset with the ability to prioritize based on business and customer impact.
- Demonstrated ownership, critical thinking, and adaptability.
- Good level of spoken and written English.
Responsibilities
- Design, develop, test, and deploy high-quality, scalable back-end software while continuously improving existing code and architecture.
- Contribute to the development of commerce solutions capable of supporting high-load and distributed environments.
- Take ownership of technical initiatives from design through execution.
- Partner closely with product managers and stakeholders to translate business needs into effective technical solutions.
- Apply sound architectural principles, including Domain-Driven Design (DDD), CQRS, and distributed systems patterns.
- Participate actively in code reviews, refactoring, testing, debugging, and pair programming.
- Identify and prioritize bugs, performance issues, and platform improvements.
- Monitor and optimize application performance, reliability, and overall system quality.
- Contribute to a culture of continuous learning through knowledge-sharing, mentoring, and best-practice discussions.
- Use AI and LLM-based development tools for architecture exploration, implementation, testing, and documentation.
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