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# Lead Software Engineer

- **Company:** Cardlytics, Inc.
- **Location:** Menlo Park, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Microsoft Windows, Application Programming Interfaces (APIs), Amazon Web Services, Apple Mac Systems, Big Data, C Sharp (Programming Language), Computer Engineering, Continuous Integration, Data Infrastructure, Distributed Systems, Amazon DynamoDB, Python (Programming Language), NoSQL, Software Tools, Software Deployment, Software Engineering, SQL Databases, Strategies of Testing, TypeScript, Apache Spark, Electronic Medical Records, Amazon Relational Database Service, Information Technology, Data Analytics, Apache Kafka, Gsuite, Amazon Simple Queue Service (SQS), Terraform, Data Pipelines, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_47b207effa1900a0e542b0d649d178bf

## About the Role

* Bachelor's or Master's Degree in Computer Science, Computer Engineering, Information Technology, or a related technical/STEM field.
 * 8+ years of experience in software development.
 * Hands-on experience with Typescript, Python or Java.
 * Hands-on experience with AWS services such as Lambda, SQS, RDS, DynamoDB, Kafka, MSK, EMR, and EKS.
 * Proficiency in SQL/NoSQL databases and big data processing frameworks (Spark)
 * Strong experience in distributed systems, microservices, and database management
 * Experience in designing, developing, and maintaining large-scale parallel applications
 * Proficiency in using software development tools/IDEs, testing methodologies, and documentation best practices.
 * Excellent communication skills in multiple team environments
 * Experience mentoring and leading other engineers
 * Comfortable in a fast paced, startup environment, * Past experience in the advertising technology industry or related fields.
 * Knowledge of terraform or other infrastructure as code technology
 * Hands-on development in C#/.NET is a plus.

Technical Environment

We primarily use macOS and Google Workspace (Docs, Sheets, Slides). While our preferred platform is macOS, we support both macOS and Windows. Familiarity with or willingness to work within this environment is required.

## Description

The Publisher team is responsible for building and maintaining an API and Data platform enabling the world's largest financial institutions to integrate with the Cardlytics purchase incentive platform. Working closely with peer engineering and product teams, Publisher Engineering ensures these APIs are robust and comprehensive, empowering partners to effectively leverage Cardlytics for maximum customer engagement and revenue. This team plays a crucial role in supporting smooth onboarding and continued success for these partners, creating the purchase channels that are core to the Cardlytics business, As a Lead/Principal Software Engineer on the Publisher team, you'll build APIs and data ingestion pipelines that enable integration with some of the world's largest financial institutions, supporting 160 million monthly active users. This position offers extensive opportunities to work with modern, advanced AWS technologies within cloud native, distributed architectures. In this dynamic environment, you'll provide leadership in growing the supply side of the Cardlytics two side marketplace with ample space to make a substantial impact on the platform's direction and future., * Lead the design and architecture of a scalable, world-class API and data platform within a modern, cloud-native architecture in AWS

 * Serve as a Technical Leader, driving engineering projects and collaborating closely with technical leads, product managers, sales teams, and cross-functional engineering teams to deliver solutions aligned with strategic business objectives
 * Partner with cross-functional stakeholders to gather and translate product and engineering requirements into technical specifications and actionable engineering plans
 * Own the full lifecycle of production deployments and adhering to best practices for CI/CD.
 * Influence the technical direction of the team through data-driven experimentation and best engineering practices, driving innovation and iteration of the technology stack.
 * Mentor and grow junior members of the engineering organization