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As a Software Engineer, you will participate in agile development, design implementation, troubleshoot issues, and collaborate with teams to enhance supply chain solutions.
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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!
What You’ll Be Doing
- Design and implement scalable, cloud-native data pipelines and storage solutions using AWS services such as S3, Glue, Redshift, Lambda, and Kinesis.
- 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.
What We’re Looking For
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Foundational experience with distributed systems, cloud-native development, or data engineering projects (internships, projects, or coursework are welcome).
- Interest in AI agent platforms such as Dify, LangChain, or similar frameworks.
- Proficiency in at least one programming language (Python, Java, or similar).
- Foundational knowledge of AWS services (e.g., S3, Lambda, Glue, Redshift, Kinesis, DynamoDB).
- Familiarity with event-driven architecture patterns and real-time data streaming.
- Exposure to infrastructure-as-code tools (e.g., Terraform, AWS CDK) is a plus.
- Experience with container technologies (Docker, ECS, EKS) is a plus.
- Interest or experience integrating LLMs or AI-driven workflows into backend systems is a strong plus.
- Effective communication skills with a proven ability to work cross-functionally with engineering, product, and data science teams.
- Enthusiasm for Agile methodologies, CI/CD pipelines, and modern testing strategies.
Make an impact: Work directly with the management team to help grow the business.
Find your groove and grow: Provi keeps growing and you should too. Expand your skill set, diversify your experience and develop along with us.
Enjoy competitive benefits: Health, Dental, Vision, 401(k) with match, Commuter Perks, Long/Short Term Disability, Employee Assistance Program, Unlimited PTO, and Parental Leaves.
Be a part of something big: Join a dynamic and innovative team that is working to change a major industry.
Provi is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you're a qualified candidate with a disability and you need a reasonable accommodation in order to apply for this position, please contact us at [email protected].
Provi Chicago, Illinois, USA Office
Great location and exceptional facilities in the heart of Chicago, steps from great dining and entertainment. Within a few blocks of multiple CTA stops.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
