Description:

Acid Labs is a design and software development firm that operates end-to-end.
The company follows a standardized yet flexible agile process focused on quality and communication.
They specialize in creating amazing web and mobile products and have been involved in web and mobile development since 2006.
Acid Labs aims to be a strong partner for their clients, developing new products through a UX/UI process and improving existing projects.
They are experts in retail software, custom e-commerce, and enterprise solutions, leveraging CRM configurations to scale sales through design and technology.
They are currently seeking a Tech Lead to join their team.

Requirements:

You must design scalable infrastructures using Cloud Run, GKE, BigQuery, Spanner, Pub/Sub, Cloud Functions, and Workflows, prioritizing performance and cost optimization.
You should develop pipelines in Dataflow and Composer (Airflow), with knowledge of BigQuery and Dataform for managing large data processes while applying best practices regarding patterns, partitioning, and data clustering.
You need to optimize costs in storage and processing.
You should use Cloud Logging to support and manage processes and applications in run.
You must create APIs with Cloud Run, utilizing transactional and NoSQL databases such as Spanner and Firestore.
It is important to know how to use Cloud Run both as a service and a job for maintaining and developing applications and loading data or performing recurring operations using a scheduler.
You should implement CI/CD with Cloud Build.
Knowledge of Terraform is required.
You must promote best practices in security, automation, and agile methodologies.
You should manage and work with agile methodologies, specifically Scrum.
You need to generate testing and debugging, including Unit Tests, Integration Tests, and Load Testing.
Familiarity with Cloud Build, Gitlab, and Terraform is necessary.
You should have knowledge of Python, NodeJS, and frameworks such as NestJS and Python FastAPI.
Experience in managing teams of data engineers, full-stack developers, and Data Scientists is required.