We are looking for a Software Engineer based in Latin America to work on a long-term project for one of our clients, a software company based in Los Angeles, California.

Our client is an Emmy award-winning global expert in connectivity and data management services, focusing exclusively on the media and entertainment market.

Responsibilities

• Design, build, and maintain backend services in PHP, with a focus on clean architecture, testability, and long-term maintainability.
• Model and evolve data in MySQL, including schema design, query optimization, indexing strategy, and tuning for performance at scale.
• Build and operate search functionality on Elasticsearch — index design, query construction, relevance tuning, and cluster health.
• Design event-driven and asynchronous workflows using RabbitMQ, including queue topology, consumer reliability, retry/dead-letter strategies, and back-pressure handling.
• Deploy and operate services on AWS, working with the appropriate mix of compute, storage, networking, and observability primitives.
• Participate in architecture discussions, technical design reviews, and roadmap planning.
• Review code thoughtfully, contribute to engineering standards, testing practices, and CI/CD improvements.

Requirements

• Advanced Level of English.
• 8+ years of professional software engineering experience building and operating production backend systems.
• 6+ years of experience with PHP. Strong grasp of OOP, SOLID principles, design patterns, PSR standards, Composer, and frameworks such as Silex, Symfony, or comparable.
• Strong MySQL skills: schema design, query analysis, indexing, transactions and isolation levels, and experience tuning queries against large datasets.
• Hands-on production experience with Elasticsearch (or OpenSearch): index mapping decisions, analyzers, aggregations, query DSL, and operational awareness of shard/replica behavior.
• Practical experience with RabbitMQ (or comparable message brokers): exchanges, routing, durable queues, consumer acknowledgments, and reliability patterns.
• Working experience with AWS services in production environments (EC2, ECS/EKS, S3, RDS, Lambda, SQS/SNS, CloudWatch, IAM).
• Strong testing experience (unit, integration, end-to-end) and familiarity with modern CI/CD practices.
• Demonstrated fluency using AI tools across the development process — coding assistants (e.g. Claude Code, Cursor, Copilot), chat-based LLMs for design and debugging, and AI-assisted code review or test generation.
• Clear written and verbal communication; able to explain trade-offs to both technical and non-technical audiences.

Bonus Points

• Bachelor’s Degree in Computer Science, Systems Engineering or related fields.
• Experience with infrastructure-as-code (Terraform, CloudFormation, CDK).
• Containerization and orchestration experience (Docker, Kubernetes).
• Familiarity with observability tooling (CloudWatch Logs/Metrics, OpenTelemetry, New Relic, or similar).
• Experience evolving legacy systems or breaking up a monolith into services.
• Exposure to other languages (Node, Python, TypeScript) for tooling or auxiliary services.
• Background working with large-scale data, media workflows, or low-latency systems.

What we offer

• Long term positions
• Compensation in USD
• Paid time off
• Cool clients and products
• Work with great engineers

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