Sr. Software Engineer

We’re looking for a strong backend engineer with a product mindset to join our Search & Match team, building scalable systems that power discovery, ranking, and matching. This role is primarily backend, though full stack experience is a big plus. You’ll use data and AI to improve relevance and outcomes for millions of users, and you’ll lead AI-driven initiatives from concept to production, owning them end to end. You’ll partner with engineers, product managers, and cross-functional teams to deliver impactful features and improve performance.

What You’ll Be Working On

• Lead AI initiatives end to end, from identifying the opportunity and designing the solution through delivery, measurement, and iteration
• Build, maintain, and enhance high-volume, scalable backend systems
• Contribute to the evolution of our platform, including breaking down monolithic components into microservices
• Partner with product managers to translate business requirements into technical solutions
• Collaborate with internal teams to design, implement, and improve services
• Write clean, maintainable, and well-tested code
• Participate in code reviews and provide constructive feedback
• Support production systems, troubleshoot issues, and improve reliability
• Work with QA to ensure high-quality releases
• Continuously identify opportunities to improve system performance and developer experience
• Build systems that use data and AI to improve search relevance and matching quality

• 5–7+ years of professional software engineering experience
• Proven experience using AI/ML in production (or applying AI tools and LLMs to real products) and driving those initiatives from start to finish
• Demonstrated ownership: comfortable taking ambiguous problems and driving them to measurable outcomes
• Strong experience with Java, Spring (Boot, MVC, Security), Kafka, Docker, SQL, and Hibernate
• Experience building backend services using microservices architecture and designing scalable, distributed systems
• Strong fundamentals in APIs, data modeling, and system design
• Experience with relational and/or NoSQL databases and cloud platforms (AWS, Azure, or GCP)
• Experience with caching (e.g., Elasticache) and search technologies (Solr / Elasticsearch)
• Hands-on experience with AWS services (e.g., S3, Lambda, Step Functions, CDK, KMS)
• Familiarity with CI/CD pipelines (e.g., Jenkins) and modern development practices
• Ability to collaborate effectively in a fast-paced, cross-functional environment

Nice to Have

• Full stack experience (e.g., React, TypeScript) and the ability to deliver features across the stack