Join a dynamic team as a Full-Stack Senior Product Software Engineer, focusing on innovative user-centric advertising solutions. This role offers the chance to own critical systems, mentor peers, and contribute to scalable, robust, and observable platforms.

Embrace a growth mindset and a passion for building mission-critical systems. Effective communication and collaboration across diverse teams are key. You'll gain a deep understanding of microservices, loose coupling, and essential metrics for managing system health and risk, applying a pragmatic approach to complex engineering challenges.

This is an exciting opportunity to shape the future of advertising technology in a fast-paced, collaborative environment.

Design, develop, and maintain scalable microservices and user interfaces for advertising platforms, utilizing Java and modern front-end technologies. Collaborate closely with product, UX, and engineering teams to deliver impactful features.

Translate user stories into actionable engineering tasks, managing the full development lifecycle from concept to deployment. Mentor fellow team members through code reviews, documentation, and informal guidance, fostering a culture of shared learning.

Enhance system observability through the implementation of robust metrics, monitoring, and alerting solutions. Participate in on-call rotations to ensure operational excellence and champion best practices in code quality, automated testing, and agile methodologies. Leverage AI-driven tools while adhering to company policies.

A minimum of 6-9 years of hands-on software engineering experience is essential. Proficiency in Java and related frameworks like Spring Boot, along with experience in relational databases such as MySQL and Postgres, including schema and query design, is required.

Candidates must possess experience with ReactJS or other modern JavaScript frameworks, and demonstrate a willingness to learn new technologies. A strong understanding of RESTful APIs, microservices, distributed systems, and core computer science principles, including data structures and algorithms, is crucial.

Excellent problem-solving, communication, and collaboration skills are expected, enabling effective interaction with both technical and non-technical stakeholders. A BS/MS in Computer Science, Engineering, or equivalent experience is preferred.