Experienced Software Engineer - Key Access
San Francisco
Plaid Inc.
Plaid helps companies build fintech solutions by making it easy, safe and reliable for people to connect their financial data to apps and services.
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.
The Key Access team ensures that every institution in the world is available on the Plaid network. We build and scale AI-powered infrastructure that connects millions of users to thousands of institutions globally, transforming how financial data is accessed and processed at scale. We build tools which fundamentally alter the cost structure of our operations thereby enabling the ecosystem of financial applications relying on Plaid every day and delivering on Plaid’s mission of providing financial freedom for everyone. We are customer centric in our design and transparent in our operations. This builds trust with our clients and partners in equal measure.
As an engineer on the Key Access team, you will spearhead the design and implementation of AI-powered data pipelines and real-time backend services that extend Plaid’s reach to every financial institution worldwide. You will own the full product lifecycle—framing ambiguous problems with product, data-science, and data-engineering partners, rapidly validating hypotheses, and hardening production systems that deliver reliable, low-latency access at scale. Alongside building the next generation of tooling, you’ll chart the team’s technical roadmap, mentor fellow engineers, and cultivate a culture of rigorous engineering excellence, setting a high bar and holding the team to it.
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
The Key Access team ensures that every institution in the world is available on the Plaid network. We build and scale AI-powered infrastructure that connects millions of users to thousands of institutions globally, transforming how financial data is accessed and processed at scale. We build tools which fundamentally alter the cost structure of our operations thereby enabling the ecosystem of financial applications relying on Plaid every day and delivering on Plaid’s mission of providing financial freedom for everyone. We are customer centric in our design and transparent in our operations. This builds trust with our clients and partners in equal measure.
As an engineer on the Key Access team, you will spearhead the design and implementation of AI-powered data pipelines and real-time backend services that extend Plaid’s reach to every financial institution worldwide. You will own the full product lifecycle—framing ambiguous problems with product, data-science, and data-engineering partners, rapidly validating hypotheses, and hardening production systems that deliver reliable, low-latency access at scale. Alongside building the next generation of tooling, you’ll chart the team’s technical roadmap, mentor fellow engineers, and cultivate a culture of rigorous engineering excellence, setting a high bar and holding the team to it.
Responsibilities
- Build products with real impact: your work will touch tens of millions of end-users, the best applications in FinTech, and major financial institutions.
- Drive innovation in how AI can be used at scale. Be a leader at Plaid in how to build AI tools. Work closely with other teams and cross-functionally with product, and data engineering
- Work across multiple teams to tackle ambiguous and ambitious problems.
- Building a strong sense of community within your team.
- Work on both the 0 to 1 stage and the 1 to n stage of problems.
- Own and lead projects, step up as a trusted member of the team’s on call rotation, advocate for technical and process changes, and follow best practices to increase overall system reliability
Qualifications
- Excellent coding and testing skills
- Experience designing and implementing large scale backend systems end-to-end
- Experience building and managing AI / ML-powered tools in production
- Experience as project-lead, leading multiple engineers and/or workstreams on multi-quarter long projects.
- [Nice-to-have] Excellent communication skills (written and oral)
- [Nice-to-have] A record of mentorship; helping engineers grow
- [Nice-to-have] Experience with Golang, Node, Python, SQL, and/or AWS
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
Please review our Candidate Privacy Notice here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: AWS Data pipelines Engineering FinTech Golang Machine Learning Pipelines Privacy Python SQL Testing
Region:
North America
Country:
United States
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