Riskified is currently hiring a Senior Data Platform Engineer to join their amazing team
Riskified empowers businesses to unleash e-commerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of e-commerce risk analysts, data scientists, and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
They thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day.
About the role: They're looking for a talented multi-disciplinary Senior Data Platform Engineer with a passion for infrastructure, who will be responsible for the performance, scale, and stability of their core data platform products. They are a data-driven organization, ingesting data at high rates, with demands increasing each day.
As a Senior Data Platform Engineer , you will be part of the Data Platform group and will be responsible for a large-scale production data platform that serves as the core infrastructure of their products. You'll develop self-service tools that support the accessibility of their platform for the use of their users from R&D and Analytics departments. They will look to you to be a center of knowledge, consult, and share your expertise with others.
What you'll be doing
- Lead the development of AI-ready data platform foundations, including data quality, contracts, observability, and self-service tooling that power machine learning and AI-driven products.
- Administrate, provision, and monitor their different platform products.
- Develop, maintain, and enhance the Applicational infrastructure that works tightly with their Data Platform infrastructure tools.
- Guide development teams and mentor other team members.
- Use your creativity to resolve complex and high-scale data-related issues.
- Research new technologies, starting from POC level to production-grade systems.
Requirements
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6+ years prior experience as a Data Platform Engineer / Big Data Infrastructure engineer or equivalent.
- Deep understanding of distributed systems, in terms of ingestion, storage, and access.
- Hands-on experience with Data Streaming technologies: Apache Kafka / Apache Pulsar / Spark Streaming / Kstream / Apache Flink
- B.Sc. in Computer Science (or equivalent)
- Experience working on large-scale, production-grade projects
Advantage
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Experience with tools like Apache Spark and Databricks.
- Experience with the Cloud Native stack( Kubernetes / Prometheus/Istio etc.)
- Experience with a cloud provider (AWS, Google etc.)
- Experience with Infrastructure tools (Helm, Ansible, Terraform etc.)
- Experience with Scala
Perks & benefits
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Hybrid mode of work
- Flexible schedule
- Recharge weekends
- Healthcare & dental benefits
- Fully-stocked kitchens
- Commuter benefits
- Benefits package per month—per your choice, e.g., work-from-home equipment, gym membership, wellbeing activities, and more.Wellness program
- Celebrations and activities
- Team events
- Happy hours
- Awesome Riskified gifts and swags
- Volunteer programs
- Personal development
- Global onboarding
- Role-based technical skills training
- Full access to Udemy
If you're ready to take on impactful challenges and excel in a collaborative, forward-thinking team, we encourage you to get in touch with us
