Software Engineer, Data Infrastructure – Amazon Store
About Persona Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder — but more important — than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly. We’ve built Persona to support practically every use case and industry — that’s why we’re able to serve a wide range of leading companies. For example, Coursera uses Persona to ensure the right person is earning each degree. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world’s most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live. We believe that making the internet safer and more human requires a team that reflects the diverse, global nature of the people we aim to serve . We’re growing rapidly and looking for exceptional people to join us. ___________________ About the Role As an engineer on the Data Infrastructure team at Persona, you will play a key role in designing, building, and maintaining the data platform that powers our data science and analytics applications. This is a highly cross-functional role—you will work on everything from deploying new cloud infrastructure to writing data pipelines to developing new product features that better deliver analytics for our customers, all while closely collaborating with product, data science, and post-sales teams. We are a small team where every member has a high degree of ownership of our stack, working to make Persona a more data-driven organization. What you'll do at Persona Build and expand the data platform using cutting edge technologies for the cloud data stack. Design and implement efficient data models to power analytics and core product workflows. Collaborate with stakeholders to translate business and product needs into product features. Identify new opportunities to use data in transformative ways across product, data science, and business teams. What you’ll bring to Persona 3+ years of experience in software engineering, with a focus on data infrastructure or large-scale data systems. Proficiency in Python and familiarity with technologies like Kafka, Snowflake, ClickHouse, Airflow and Apache Flink . Experience designing and implementing scalable ETL pipelines and working with structured and unstructured data. Strong understanding of data modeling , including schema design and performance optimization for analytical and operational use cases. Excellent communication and collaboration skills, with experience working cross-functionally with product, data science, and operational teams. A passion for leveraging data to drive innovation. Nice to have Familiarity with React, Ruby on Rails, Kubernetes, Google Cloud (GCP), MySQL, MongoDB _______________ Benefits and perks Persona offers a wide range of thoughtful and inclusive benefits for this role, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipends, and wellness benefits, among others. While we believe competitive compensation and benefits are a critical aspect of you deciding to join us, we do hope you consider why our core values and culture are right for you. If you’d like to better understand what it’s like working at Persona, feel free to check out our reviews on Glassdoor . Diversity, equity, inclusion and belonging At Persona, we strive to put diversity and inclusion at the forefront of everything we do, reflecting our core values. Our DEIB Employee Resource Group seeks to build a diverse and inclusive team that fosters an environment where each Personerd feels empowered to bring their unique differences to work and achieve their full innovative potential. Our hope is that by fostering such an environment, we strengthen our business and relationships by putting people first. We strive to promote a culture that celebrates diversity and inclusiveness regardless of, but not limited to, race, gender, sexual orientation, family status, religion, ethnicity, national origin, physical disability, veteran status, or age.