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We build simple yet innovative consumer products and developer APIs that shape how everybody interacts with money and the financial system. Plaid’s Platform Engineering organization comprises multiple teams focused on core infrastructure, data platforms, storage, privacy, and developer efficiency. Together, these teams ensure that Plaid’s technology platform is scalable, reliable, and secure to support our rapid growth. Our infrastructure handles millions of requests per day, and we pride ourselves on maintaining highly robust and performant systems. As a Platform Engineer, you will design, build, and maintain the foundational infrastructure and internal platforms that empower all of Plaid’s engineering teams to move quickly and safely.
Job Responsibility:
Design & Develop Scalable Systems: Build and maintain core platform services with a focus on performance, reliability, and scalability
Infrastructure & Data Platforms: Develop and improve infrastructure for data storage and processing
Developer Productivity Tools: Create internal tools, frameworks, and automation to improve developer productivity and efficiency
Security & Privacy by Design: Integrate security, privacy, and compliance best practices into our platforms
Cross-Team Collaboration: Work hand-in-hand with product engineers and other stakeholders to understand requirements and translate them into reliable platform capabilities
Technical Excellence & Leadership: Uphold high engineering standards through code reviews, testing, and documentation
Requirements:
2 to 4 years of software engineering experience, with a proven track record of building and shipping complex backend systems or platforms
Experience designing and scaling distributed systems is highly desired
Proficiency in at least one general-purpose programming language (e.g. Go, Python, Java, C++)
Experience with Go is a plus
Deep understanding of system design and algorithms
Hands-on experience with designing, building, and operating distributed systems or microservices architectures at scale
Familiarity with relational and NoSQL database technologies (for example, MySQL/TiDB, PostgreSQL, MongoDB) and data storage architectures
Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.) is a plus
Excellent communication and teamwork skills
Nice to have:
Experience with Go
Experience building data pipelines or working with big data processing frameworks (Spark, Databricks, etc.)
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