Tesorio is the cash flow performance platform, which Accounts Receivable, Treasury, and FP&A teams use to manage, predict, and collect cash. Its AI processes over $30 billion in transactions each year for companies ranging from 50 to 10,000 employees.
- Series A company
- Founded: 2013
- Funding: $16.9M
- Visa: Will transfer H1
- Salary: $0 - $200k
- Job required skills: Cloud, NoSQL, SQL, SaaS, Python, Django
Responsibilities
- Responsible for designing & implementing data architecture that will help with scalability, performance & reliability.
- You will own the data architecture at our company and work closely with the CTO & Engineering Leadership in order to solve the toughest technical challenges
- You will be a key member of the Engineering Leadership and help set the technical direction at our company
- Provide coaching & mentorship across the entire engineering organization
- Architect & implement production-grade code that is reliable, maintainable & scalable
- Anticipate technical challenges that we will face as we scale
About you
- You’ve previously worked at startups and have helped them scale
- You’re excited to lead data architecture at a startup
- You like to design & architect solutions that are reliable, maintainable & scalable
- You enjoy writing production-grade code to help implement your solutions
- You have strong opinions, but you hold them loosely
- You're always learning
- You love building and shipping magical products that will help thousands of companies
The Ideal Candidate
- 10+ years of experience as a software engineer
- Prior experience as a Staff Software Engineer or a more senior engineering role
- Expert at data architecture. From schema design, data storage technologies, debugging data problems, building scalable data solutions & more.
- You’re intimately familiar with the technology problems startups face as they scale because you’ve worked at a startup before and helped them scale
- Experience working on large multi-tenant SaaS systems
- Expertise working on cloud platforms (e.g. AWS) and building large-scale data architectures leveraging their technologies
Nice to have
- Expertise with Python & Python web frameworks (e.g. Django, Flask)
- Experience working with financial data or working at a fintech company
- Expertise with AWS
