Design, develop, and maintain backend applications and RESTful APIs
Develop scalable backend services and fullstack applications using but not limited to PHP full stack
Provide and manage scalable cloud infrastructure on Google Cloud using Infrastructure as Code (IaC) principles
Design and manage database schemas, and optimize queries for both Relational and Non-Relational Database Management Systems
Create and maintain CI/CD pipelines to ensure reliable and automated deployments
Implement containerization for applications using technologies like Docker
Ensure performance optimization and monitoring through tools like Google Cloud Logging and Monitoring
Implement robust security measures, including authentication, authorization, and data encryption
Create internal and external documentation for systems and processes
Conduct code reviews and contribute to clean, well-documented, and efficient codebases
Address system performance, data integrity, and integration resiliency with internal and external systems
Requirements
At least 2 to 4 years of proven backend engineering experience, focusing on event-driven architectures, high-scale data orchestration, and ETL processes rather than standard web applications
Advanced proficiency in modern PHP (8.2+) and modern frameworks such as Laravel (11/12) or Symfony (6/7), with hands-on experience refactoring legacy monoliths
Strong SQL skills (MySQL or PostgreSQL), including expert-level schema design, complex query optimization, and indexing strategies
Proven experience building resilient enterprise-grade integrations (handling complex OAuth lifecycles and 429 rate-limiting) and leveraging Redis and advanced caching strategies
An obsession with code quality, engineering best practices, and maintaining high testing coverage to ensure system reliability, even if strict TDD isn't your primary approach
Deep proficiency with observability tools (such as Datadog or Cloud Logging) and advanced debugging techniques to troubleshoot complex distributed systems
Hands-on experience with containerization and local environment automation using Docker, GNU Make, and Bash scripting
Proficient in modern, AI-augmented development using tools like Cursor, Claude Code, or Gemini to automate repetitive tasks and optimize the development lifecycle
Nice to Have
Experience with Google BigQuery for TB-scale processing, including table partitioning, clustering, and slot management
Ability to build APM dashboards (Application Performance Monitoring)
Familiarity with Infrastructure as Code (Terraform) to manage cloud computing resources on GCP or AWS
Domain experience in marketing technology, specifically such as mobile event attribution (Adjust) or Google GA4
Experience developing custom Model Context Protocol (MCP) servers or guardrails hooks for AI agents
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