Software Engineer III, Backend - Recs Infrastructure

Match Group, LLC

Job Overview

Location

Palo Alto, California

Job Type

Full-time

Full Job Description

📋 Description

• Join Tinder’s Recs Infrastructure team and play a pivotal role in constructing the foundational systems that power connections for millions of users every single day. This is an opportunity to work at the forefront of recommendation technology, directly influencing the core matching experience that defines Tinder.
• You will be instrumental in developing and enhancing cutting-edge deep learning model serving technologies. This includes working with sophisticated frameworks and platforms such as NVIDIA Triton, RayServe, and other similar state-of-the-art solutions, ensuring our models are deployed efficiently and effectively at scale.
• Your responsibilities will extend to architecting and implementing multi-phase ranking infrastructure. This involves designing complex systems that process user interactions and preferences through multiple stages to deliver highly relevant and personalized recommendations.
• You will also contribute to the development and optimization of Elasticsearch-based retrieval systems. This requires a deep understanding of search technologies and how to leverage them for fast, accurate, and scalable data retrieval, a critical component of our recommendation engine.
• This role has a direct and significant impact on Tinder’s core matching experience. The scalability, performance, and low-latency characteristics of the retrieval and ranking infrastructure you help build are paramount to driving user retention and engagement on the platform.
• You will be tasked with ensuring that our systems can handle immense traffic and data volumes while maintaining high availability and responsiveness, a constant challenge and a key focus for the team.
• Collaborate closely with machine learning engineers, data scientists, and other software engineers to translate complex algorithms and models into robust, production-ready services.
• Design, build, and maintain APIs and services that expose recommendation capabilities to various parts of the Tinder product.
• Troubleshoot and resolve complex technical issues in a high-pressure, high-volume production environment.
• Contribute to the continuous improvement of our infrastructure, exploring new technologies and methodologies to enhance performance, reliability, and efficiency.
• Participate in code reviews, design discussions, and architectural planning sessions, fostering a culture of technical excellence and knowledge sharing.
• Develop and maintain comprehensive documentation for the systems and services you build.
• Mentor junior engineers and contribute to the overall growth and development of the engineering team.
• If you possess a strong passion for recommender systems, thrive on building and scaling infrastructure, and are eager to see your work directly impact millions of real relationships, this is an exceptional opportunity to make a significant contribution to a globally recognized product.
• The mission of Tinder is to revolutionize how people meet, and this role is central to that mission by ensuring the recommendation engine is powerful, efficient, and capable of fostering meaningful connections at an unprecedented scale.
• You will be working in an environment that values innovation, collaboration, and a commitment to excellence, aligning with Tinder's core values of One Team, One Dream; Own It; Never Stop Learning; Spark Solutions; and Embrace Our Differences.
• This position offers the chance to work on challenging problems in distributed systems, machine learning operations (MLOps), and large-scale data processing, all within the context of a product that touches the lives of millions worldwide.
• Your contributions will directly influence user satisfaction, the success of new feature rollouts, and the overall growth trajectory of Tinder.

🎯 Requirements

• Proven experience as a Software Engineer with a strong focus on backend development and distributed systems.
• Expertise in designing, building, and maintaining scalable, high-performance backend services and APIs.
• Experience with recommendation systems, machine learning model serving, or related infrastructure.
• Proficiency in one or more backend programming languages such as Java, Python, Go, or C++.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
• Experience with data processing and storage technologies, including databases (SQL/NoSQL) and distributed file systems.
• Strong understanding of system design principles, data structures, and algorithms.
• Excellent problem-solving and debugging skills.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

🏖️ Benefits

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• 401(k) plan with company match.
• Opportunities for professional development and continuous learning.
• Vibrant and inclusive company culture.
• Access to cutting-edge technologies and a chance to work on a product with global impact.

Skills & Technologies

Elasticsearch

Apache Spark

Backend

Onsite

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Match Group, LLC

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About Match Group, LLC

Match Group, LLC operates the largest portfolio of online dating services, including Tinder, Match, Meetic, OkCupid, Hinge, Pairs, PlentyOfFish and OurTime. Headquartered in Dallas, Texas, the company provides subscription and advertising-based products across more than 40 languages to users in approximately 190 countries. It develops technology for matching, safety and monetization, generating revenue primarily through premium memberships and à-la-carte features. The business was spun off from IAC in 2020 and trades on the NASDAQ under MTCH.

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