Ralabs

What is this project about?

Our client provides software for fitness and wellness businesses to manage their operations and for their customers to book their services. They aim to make software accessible to the entire market, not just larger premises-based businesses. Since 2017, they have grown to support thousands of businesses and hundreds of thousands of their customers.

Hard skills

• 5+ years of commercial experience with Golang;
• Strong understanding of API development principles, with hands-on experience in REST, GraphQL, and gRPC;
• Solid experience working with MySQL databases, including optimization and complex queries;
• Knowledge of Kubernetes for cloud orchestration and deployment management;
• Proficiency in caching mechanisms, particularly Redis;
  Experience with RabbitMQ;
• Familiarity with load-balancing concepts and tools like HaProxy;
• Good communication skills;
• English – Upper-Intermediate.

Responsibilities

• Collaborate with stakeholders to architect, develop, and maintain new services;
• Implement new features in existing services;
• Enforce rigorous code quality across all aspects of the platform;
• Assist the Head of Development with the optimization and maintenance of cloud services;
• Research and implement new tools and technologies to streamline development processes.

We are looking for a Senior Data Engineer to join a project in the tech capital of the world – Silicon Valley.

Project Idea

The project was founded back in 2014 with the goal of connecting private and government universities with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use –
schedule facility uses and manage requests from the community all in one place.

Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?

Must have:

• 4+ years of experience in Data Engineering or related roles;
• Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
• Solid knowledge of Python for data processing and automation;
• Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
• Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
• Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
• Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
• Demonstrated experience designing and implementing data warehouses and data marts;
• Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
• Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
• A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
• Upper-Intermediate English or higher for effective communication and documentation.

Soft skills:

• Proactive – you take ownership and act without waiting for direction;
• Detail-oriented – you deliver accurate, high-quality work;
• Initiative-driven – you’re eager to improve processes and take action.

Responsibilities:

• Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
• Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
• Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
• Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
• Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
• Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
• Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
• Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
• Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.

We are seeking a Software Architect for the cutting-edge FinTech project from the US

What is this project about?

This is a cutting-edge FinTech project from the US. Its main goal is to manage and schedule debts for US customers using a popular payment system.

The digital collection strategy allows clients to pay at their own pace on a customizable plan that works for them.

The customers have a proprietary online portal to manage their accounts. The platform offers them multiple installment payment options, nearly instant account updates, and even potential discounts for many accounts.

About the Team

You will be part of a collaborative setup: Tech Lead Engineer, Senior BE Engineer, Senior DevOps Engineer, Middle FE Engineer, Middle Full-stack Engineer, Middle BE Engineer, Middle AQA, Middle QA, Middle DevOps Engineer, UI/UX Designer, Data Engineer,  Junior QA, and Project Manager.

Hard skills

• 7+ years of experience in Software Engineering;
• 2+ years in a Tech Lead or Architect role;
• Extensive experience with Python/Django or FastAPI;
• Understanding of frontend architecture principles (React is a plus);
• Hands-on experience with micro-services architecture and multi-tenancy;
• Experience designing scalable architectures and driving technical decision-making with a focus on stability, quality attributes, and performance;
• Solid knowledge of PostgreSQL, API design, and system integrations;
• Strong AWS background, confidence with DevOps practices (CI/CD, monitoring);
• Confident with version control (e.g., BitBucket) and branching strategies;
• At least an Upper-Intermediate English level or higher;
• Set engineering standards across the project and SDLC, control their execution, efficiency, and continuous improvement;
• High sense of ownership for the project deliverables, experience in working in regular releases, deadlines, and a changing environment;
• Proven experience on measurably incensing project quality;
• Experience with the fintech domain and payment integrations;
• Experience with agile methodologies (Scrum and Kanban);
• Experience in translating business needs into scalable engineering solutions for complex products and systems;
• Work directly with clients to identify goals, constraints, and expected business outcomes;
• Experience facilitating communication between business stakeholders and engineering teams to ensure shared understanding of requirements and solution design;
• Follow best practices of clear, transparent communication across all stakeholders

Responsibilities

• Analyze requirements, propose solutions, and troubleshoot production issues;
• Design scalable architectures and drive technical decision-making with a focus on stability, quality, performance, and other quality attributes;
• Ability to independently contribute to infrastructure, DevOps, database-related, and other technically complex engineering activities.
• Mentor team members, set engineering standards across the project and SDLC, control their execution, efficiency, and continuous improvement;
• Guide cross-functional teams from an architectural perspective, establishing high standards for quality, ownership, and collaboration;
• Cover a high complexity development task;