Senior Back-end Engineer
Truelogic
Responsibilities Take end-to-end ownership of the backend platform, managing client-facing API schemas, servers, and database infrastructure in AWS.
Integrate AI-powered solutions directly into core products while building and refining the agent workflows, context, and tooling that enable effective team development with AI across a large codebase.
Contribute to architectural and design decisions, articulating trade-offs and breaking down complex features into releasable components.
Design and implement core products within a PHP and Laravel API , building from OpenAPI specifications using domain-driven, service, and repository architectures.
Build and enhance internal backend systems in Python , including AWS Lambda microservices, in collaboration with cross-functional business units.
Support and maintain production AWS infrastructure using Terraform, managing services such as ECS, Lambda, API Gateway, SQS, Parameter Store, CloudWatch, and IAM.
Qualifications and Job Requirements
5+ years of experience building, operating, and scaling backend systems in production environments.
Deep proficiency in PHP (ideally Laravel) along with working proficiency in Python .
Mandatory AI Tooling: Hands-on experience developing features and building context workflows using AI coding agents (Claude Code, Cursor, Codex, or similar).
Proven experience with event-driven and queue-based architectures, particularly utilizing AWS SQS.
Experience running containerized services in production, ideally using Amazon ECS.
Pluses
Experience integrating LLMs into production software, including prompt design, evaluation strategies, and handling non-deterministic outputs safely.
Familiarity with secrets management tools such as AWS Parameter Store or HashiCorp Vault.
Experience using large-scale static analysis and automated refactoring tools like PHPStan or Rector.
Proficiency deploying and maintaining infrastructure using Terraform, Docker, and GitLab CI/CD pipelines.
Strong knowledge of relational database design, query tuning, and caching platforms, specifically MySQL and Redis.
Background in production incident management, monitoring, and backend secure design principles.
Take end-to-end ownership of the backend platform, managing client-facing API schemas, servers, and database infrastructure in AWS.
Integrate AI-powered solutions directly into core products while building and refining the agent workflows, context, and tooling that enable effective team development with AI across a large codebase.
Contribute to architectural and design decisions, articulating trade-offs and breaking down complex features into releasable components.
Design and implement core products within a PHP and Laravel API , building from OpenAPI specifications using domain-driven, service, and repository architectures.
Build and enhance internal backend systems in Python , including AWS Lambda microservices, in collaboration with cross-functional business units.
Support and maintain production AWS infrastructure using Terraform, managing services such as ECS, Lambda, API Gateway, SQS, Parameter Store, CloudWatch, and IAM.
5+ years of experience building, operating, and scaling backend systems in production environments.
Deep proficiency in PHP (ideally Laravel) along with working proficiency in Python .
Mandatory AI Tooling: Hands-on experience developing features and building context workflows using AI coding agents (Claude Code, Cursor, Codex, or similar).
Proven experience with event-driven and queue-based architectures, particularly utilizing AWS SQS.
Experience running containerized services in production, ideally using Amazon ECS.
Experience integrating LLMs into production software, including prompt design, evaluation strategies, and handling non-deterministic outputs safely.
Familiarity with secrets management tools such as AWS Parameter Store or HashiCorp Vault.
Experience using large-scale static analysis and automated refactoring tools like PHPStan or Rector.
Proficiency deploying and maintaining infrastructure using Terraform, Docker, and GitLab CI/CD pipelines.
Strong knowledge of relational database design, query tuning, and caching platforms, specifically MySQL and Redis.
Background in production incident management, monitoring, and backend secure design principles.
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