Experienced Software Engineer - Backend

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam.

Responsibilities:

• Design & Development: Build and maintain backend services with a focus on performance, reliability and scalability.
• Collaboration: Work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.
• Code Quality: Write clean, maintainable and efficient code.
• Testing & Debugging: Develop automated tests to ensure the quality and reliability of the codebase. Troubleshoot and resolve issues.
• Engage in hands-on coding and architectural design, setting and maintaining high technical standards for a high performing team.
• Grow the team via mentorship and leadership, reviewing technical documents and code changes

Qualifications:

• 5+ years of experience with extensive experience in software engineering with a proven track record of shipping successful projects.
• Experience with MySQL or other relational databasesExperience working with microservices.
• Excellent coding, testing, and system design skills.
• Prior experience with cross functional collaboration, communication and project management skills.
• Demonstrated leadership skills and the ability to mentor and guide junior engineers.
• Ability to work with operations, product, design, and data science.