Software Engineer - Data Platform

Position Overview

• Location Type: Remote
• Employment Type: Full Time
• Salary: (Salary not provided in the description)

Provi is a leader in the B2B digital marketplace for the wholesale alcohol industry, and we’re seeking a talented Software Engineer to join our Data Platform Team. You will contribute to the development and enhancement of the cloud-native data infrastructure that powers our marketplace, AI agents, and internal analytics systems. This role focuses on designing, building, and optimizing scalable, event-driven data services using AWS technologies while supporting the migration from legacy systems to modern architectures. In particular, you will work on developing the data foundation and orchestration services that enable AI agents, using frameworks such as Dify, to automate complex business workflows. Leveraging your expertise in cloud-native services, distributed systems, and AI-driven data platforms, you will help Provi deliver seamless, reliable, and intelligent solutions to both marketplace users and internal stakeholders. Join Provi to be part of a team that’s shaping the future of the wholesale alcohol industry with innovative, data-driven, and AI-enabled solutions!

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Foundation knowledge of cloud-native services and distributed systems.
• Experience with AWS services such as S3, Glue, Redshift, Lambda, and Kinesis.
• Familiarity with serverless architectures.

Responsibilities

• Design and implement scalable, cloud-native data pipelines and storage solutions using AWS services.
• Build APIs and backend services that serve as the data and event backbone for AI agents orchestrated through frameworks like Dify.
• Develop serverless and containerized applications that support internal analytics, AI-driven workflows, and operational tools.
• Build and maintain internal data tools that streamline workflows and enhance operational efficiency across teams.
• Collaborate on the migration of legacy ETL processes and data stores to modern, event-driven, serverless architectures on AWS.
• Apply best practices to decommission legacy systems while ensuring data reliability, quality, and service continuity.
• Build integrations between cloud data services and AI agent frameworks like Dify, empowering AI agents to perform autonomous business tasks.
• Optimize data pipelines and real-time event feeds that supply AI agents with context and actionable information.
• Help design scalable workflows where agents interact with APIs, databases, and other cloud resources to automate decisions and processes.
• Monitor and optimize platform performance, addressing data and service bottlenecks to improve scalability and resilience.
• Ensure that all data services supporting the AI agent ecosystem are highly available, secure, cost-effective, and performant.
• Work closely with product, engineering, and data science teams to deliver robust data and AI-driven solutions.
• Partner with operations and support teams to ensure data platform and agent orchestration scalability and reliability.
• Participate in Agile workflows to deliver high-quality, iterative solutions.

Application Instructions

(Application instructions not provided in the description)