Software Engineer - Syrup Tech｜Meet.jobs

🚀 The Opportunity

We’re looking for a great SWE to join our core team. This is a unique opportunity to join a fast-growth start-up in a core data and engineering function, joining a very strong team of engineers, data scientists, business experts and dreamers. Come join us in our quest to empower 100x better decision-making through predictive software, allowing our users to focus on strategic and creative decisions while our software manages the number crunching.

As our SWE you will have ownership over our databases, infrastructure and integrations, as well as shaping our codebase. You'll work closely with the CEO, COO, and our top-notch engineering team.

🌱 The role

• Build: Develop accurate and robust data infrastructure engines to fuel downstream machine learning based inference systems.
• Architect: Set standards around development, unit & integration test, code review and deployment. Deploy, troubleshoot, and maintain your code in production. Create and maintain inline code documentation, as well as high level documentation for non-technical stakeholders.
• Collaborate: Collaborate closely with our Co-Founders and the engineering team to make product design choices. Participate in stand-ups and code reviews in git with our team.

🔧 Your ideal skills

Above all else, you are a continuous learner and are excited to add new skills to your toolbox. We believe that the best engineers can learn new skills on the job.

• Experience: You have 3+ years of relevant experience as a software engineer / data engineer / back-end engineer in a fast-paced tech environment.
• Experience with software and data engineering: Strong experience with relational databases and creating APIs. Deep understanding of data standardization, versioning, and ingestion into downstream machine learning systems. Full stack-experience is nice to have.
• Hunger: You’re hungry to take a large role within an early-stage venture.
• Bigger picture: Understand the bigger picture: you don’t just build sophisticated models but can play a crucial role in choosing what we build and how we build it.
• Languages: Python, Pandas, SQL and strong experience with cloud deployment (e.g. AWS S3, EC2). PySpark is a nice to have.

💫 About Syrup Tech

Mission: We're building predictive software to inform end-to-end inventory decisions for commerce brands and retailers. We believe that ML can empower 100x better decision-making, allowing people to not spend time on repeatable tasks but to focus on creative and strategic decisions. Better decisions around inventory mean drastically less overproduction and less waste (less textiles in our landfills ♻️).

Traction: We’re working with 10 paying customers (brands and retailers with revenue $50m-$1bn) who are using our product on a weekly basis and are eager to grow with us.

Team: We're a team of 8, comprised of data scientists, software engineers, and business experts. Our team comes from Harvard, MIT, Google, McKinsey, BCG, Capital One, University of Cambridge, Bloomingdale's, TruSTAR, and VMware.

Backers: We're backed by 2 Silicon Valley VCs (1984 Ventures, Plug & Play), as well as (former) executives from Adidas, Salesforce, Reebok, Reformation, Demandware, Amazon, and Olivela.