In this role, you will design, develop, and enhance large-scale data-driven systems, working both independently and collaboratively to deliver end-to-end projects. You will be responsible for backend programming, API development, and database management across relational and non-relational systems. Leveraging cloud environments, preferably AWS.

Join the team responsible for the design and implementation of the zkSync smart contract platform: a zero-knowledge-proof-friendly virtual machine. Develop at L1 and L2, including system contracts (implemented in Solidity and Yul) and server side changes. Shape the future of the protocol through research, design, prototyping, engineering, and discussion with external partners.

PayPay is seeking a Senior Backend Engineer to enhance their payment system and customer experience by designing large scale, high-throughput systems and contributing to open source projects, leveraging infrastructure and solving root cause problems. The engineer will support code in production, participate in code reviews, provide technical guidance, identify performance improvements, and collaborate with stakeholders to deliver features on time.

We are seeking an experienced Machine Learning Engineer with a strong background in end-to-end ML systems, cloud platforms, data pipelines, and model monitoring to lead the development of cutting-edge machine learning software systems for credit modeling and default risk prediction, ensuring solutions meet the diverse needs of users and merchants through testing.

Collaborate with your team to make a difference to customers as a backend engineer in a squad of various disciplines, building and supporting a part of Monzo. The squads are part of collectives such as Core Banking, Business Banking, Wealth, Borrowing, Growth, Payments, Platform, Fincrime, Security & Expansion. You should have experience working on the backend of a technology product and a product mindset.

Evolve the technology that is at the heart of Flexe's business by architecting and implementing systems that impact customers directly. Facilitate personal and team growth by working with leadership to establish goals and mentoring other engineers. Deliver value from conception to release by working directly with customer stakeholders to design, implement, and deliver large-scale technical projects.

As a Staff Machine Learning Engineer, you will lead the design, development, and deployment of complex machine learning solutions that drive critical business outcomes. You will be a key technical leader, collaborating with cross-functional partners to create scalable systems and deliver high-impact projects. You will also mentor and guide other engineers, contributing to a culture of technical excellence and innovation.

We are looking for a Principal Software Engineer to work on our various systems which need high scalability, reliability and availability. Design, develop, test, deploy, maintain and improve software and core platform. Lead technical aspects for multiple projects through hands-on execution and guidance of other engineers Provide architectural blueprints and technical leadership.