Get Grid
Engineering Lead, ML Infrastructure + Data Engineering | On-site Seattle
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Lead a team to develop backend services and core data systems, serving AI/ML infrastructure, managing APIs, and ensuring best practices for DevOps in a FinTech environment.
About us
Today’s financial system is built to favor those with money. Grid’s mission is to level that playing field by building financial products that help users better manage their financial future. The Grid app lets users access cash, build credit, spend money, optimize their taxes, and lots, lots more.
Grid is a fast-growing team that’s deeply passionate about making a difference in the lives of millions. We’re solving huge problems and believe that every team member has a big role to play. Come join our growing team in Seattle!
The role
We’re adding a EM/TL to our team to build and scale our FinTech core. You'll work closely with business operations and the product engineering team to deliver a backend services that just work. Projects may include automated ledger reconciliation systems, integration with AI/ML models, managing real time and batch data pipelines and optimizing our workflows with devops and developer experience products.
This is a high growth opportunity with the opportunity to hone your leadership skills while managing significant scale and complexity.
At Grid, everyone on the team is technical and hands on: You'll have the opportunity to design, develop and operate Grid's most mission-critical systems end to end. Unlocking scale and getting our customers one step closer to financial freedom, your work "behind the scenes" will be at the forefront of Grid's ongoing success and growth.
The Tech Stack
Our tech stack is GCP, Go, protobufs and MySQL. We have native mobile apps, an event-driven architecture on the backend and data infrastructure for streaming analytics and ML. Despite a complex domain and data model, most new hires get productive on our stack within a few days.
What you’ll do:
- Lead a small team of backend engineers
- Serve our AI/ML team with infrastructure for training and online inference
- Design, develop and operate a core data systems for ingestion, warehousing and analysis
- Operate and scale our internal treasury management APIs
- Debug, quantify and minimize exceptions
- Set up sustainable best practices for DevOps and FinOps, including monitoring and analytics
- Champion new practices to improve customer experience and enable exponential growth
- Lead and own projects end to end
What we're looking for:
- 3-5 years experience building and deploying software at scale
- 3-5 years of experience in FinTech, payments or related financial systems
- Experience as an accountable tech lead or engineering manager
- Experience with our tech stack (or willingness to learn quickly/independently)
- Data-driven approach, fluency in SQL and Datadog and as well as Go
- Deep experience with modern cloud-native data architecture
- Motivated, entrepreneurially minded individuals who thrive in an environment with minimal structure, high ownership and technically challenging problems
- Ability to understand complex business requirements and translate them into pragmatic technical plans
- An efficient approach to software development that drives accuracy and user experience
Top Skills
GCP
Go
MySQL
Protobufs
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