Senior Software Engineer - Integrations (Backend)
L
LokaliseTranslation and Localization Platform
The United Kingdom, Latvia, or SpainFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- AWSNode.jsPHPPostgreSQLRabbitmq
Requirements
- 7+ years of experience building and running complex backend systems
- Solid experience with Node.js and PHP
- Comfortable owning and evolving systems across a mixed stack of modern services and a PHP monolith
- Proven track record of working in the integrations space
- Understanding of integration patterns (webhooks, polling, message queues, event-driven architectures)
- Understanding of API versioning challenges
- Understanding of principles of building a scalable, multi-tenant integrations platform
- Strong understanding of modern backend building blocks: API best practices
- Experience with message queues (RabbitMQ, SNS/SQS or similar)
- Experience with relational data stores (PostgreSQL or similar)
- Experience with cloud services (AWS or similar)
- Demonstrated history of making sound technical judgments by driving research, prototyping (PoCs), and fostering clear, written debate via technical design documents
- Demonstrated ability to quickly learn and apply new technologies
- Comfortable context-switching between different parts of a complex system
- Belief that testing, observability, and operational excellence are core to engineering craft
- Demonstrated mastery of AI-powered development tools (e.g., GitHub Copilot, Cursor, Claude Code)
- Passion for coaching others in the use of AI development tools
- Excellent problem-solving, analytical, and communication skills
Responsibilities
- Lead the design, development, and long-term ownership of the core integrations platform and services
- Make pragmatic trade-offs between velocity and long-term maintainability
- Deeply understand customer workflows and business impact
- Ground every technical decision in a clear "why" that connects work to value delivered
- Champion and implement practices that improve the entire development lifecycle
- Build frictionless, automated pathways to production and use data to measurably improve delivery performance
- Act as a force multiplier through thoughtful code reviews, mentorship, and knowledge sharing
- Actively raise the skill level of engineers
- Pioneer and evangelize the use of AI development tools within the team
- Actively discover and share workflows that accelerate the organization
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