Golang Engineer (Data)

at  Curve

Curve was founded with a rebellious spirit, and a lofty vision; to truly simplify your finances, so you can focus on what matters most in life.
That’s why Curve puts your finances simply at your fingertips, so you can make smart choices on how to spend, send, see and save your money. We help you control your financial life, so you can go out and live the life you want to live.
With Curve you can spend from all your accounts, track your spend behaviour, see unique insights - all with additional security to help keep your money safe. Curve puts you in control of your money in one beautiful place for the first time.
We’re developing a ground-breaking product with our customers at the heart of everything we do. We have funding from the biggest names in tech investment, and a visionary C-suite who wants everyone who joins this remarkable adventure, to have the opportunity to masterfully develop their expertise.

KEY ACCOUNTABILITIES:

• Delivering clean, architecturally sound and maintainable server-side code; bonus points for full-stack development experience
• Collaborating with stakeholders in the company to rapidly build-measure-learn a world-class product
• Working with our data and engineering teams to constantly iterate on the company’s development processes
• Motivating the team past roadblocks to make sure we are shipping features as effectively as possible
• Guiding design discussions; being the voice of experience with helping the team balance flexibility, expediency, scalability and performance
• Championing new technologies and enforcing the best development patterns
• Keeping a keen eye on the future, whilst making sure we’re proactively but pragmatically tackling technical debt

SKILLS & EXPERIENCE:

• In-depth knowledge of Golang (additional experience with Python is a bonus)
• Experience of building microservices; ideally deployed in containers on Kubernetes
• Experience of agile development practices
• Experience with RDBMS & NoSQL datastores
• Bonus points for real-time low-latency high-frequency transaction based systems
• Ability to diagnose problems at any level (Client, HTTP/Network, Server, Database, OS) and provide sound rationale behind technical decisions
• Demonstrable experience of building large concurrent and distributed applications
• Bonus points for experience with event driven architectures
• Bonus points for experience working with Data Warehousing and/or ML
• A genuine interest in working in a fast paced startup and ideally FinTech or Payments
• Voracious appetite for learning

Please refer the Job description for details