Backend Engineer - Performance

📋 Description

• • Join Vibe, a rapidly growing and profitable company revolutionizing the TV advertising landscape. Our mission is to empower marketers of all sizes to advertise on TV in under 5 minutes, making this massive digital audience accessible and precise. Since our launch, we've experienced consistent revenue growth of 30% quarter-over-quarter and are on track to become the number one TV Ad Platform by 2025. We foster a fast-paced, dynamic environment where innovation and rapid execution are key to our success.
• • As a Backend Engineer on our Performance team, you will be at the forefront of developing and operating the sophisticated systems that drive Vibe's success. This cross-functional team operates at the critical intersection of backend engineering, data science, and machine learning. You will contribute directly to the intelligence behind our advertising platform, focusing on how budgets are allocated, bids are strategically placed, and performance is optimized in real-time.
• • Your primary mission will be to contribute to the design, development, and implementation of high-performance backend services that are the backbone of our real-time bidding (RTB) and performance optimization engines. This role is ideally suited for a junior to mid-level backend engineer who possesses solid production experience and is eager to accelerate their learning curve by tackling complex, large-scale systems alongside seasoned engineers.
• • You will be instrumental in designing and implementing robust backend services that handle the intricate logic of bidding, budget pacing, and performance optimization. This involves writing clean, maintainable, and thoroughly tested code that operates reliably at scale, ensuring the efficiency and effectiveness of our advertising campaigns.
• • As you grow within the team, you will gradually assume ownership of key backend components, taking responsibility for their development, maintenance, and performance. This hands-on experience will provide a deep understanding of the entire system lifecycle and the impact of your contributions.
• • You will work extensively with distributed systems that have stringent requirements for low latency and high reliability. Understanding and mitigating performance bottlenecks, ensuring scalability under heavy load, and making informed trade-offs are core aspects of this role. You will gain invaluable insights into the practical application of these principles within the demanding context of real-time bidding systems.
• • We embrace modern engineering practices and encourage the use of AI-assisted development tools, such as Claude at Vibe, as an integral part of your daily workflow. You will leverage AI to enhance code quality, expedite debugging processes, deepen your understanding of complex systems, and accelerate your overall learning speed.
• • Continuous refinement of your engineering practices is a cornerstone of our team's philosophy. You will work with state-of-the-art tools and methodologies, constantly seeking ways to improve efficiency, code quality, and system performance.
• • Collaboration is key to our success. You will work closely with a talented team of backend engineers, data scientists, and ML engineers. This collaborative environment fosters knowledge sharing and collective problem-solving.
• • You will benefit from dedicated, hands-on technical mentoring from experienced engineers who possess deep expertise in architecture, performance optimization, and software engineering best practices. This mentorship is designed to accelerate your professional growth and technical mastery.
• • Active participation in code reviews, technical discussions, and system design sessions is expected. These activities are crucial for maintaining high code quality, sharing knowledge, and collectively shaping the future of our platform.
• • Our tech stack is pragmatic and technology-agnostic, focusing on using the best tool for each specific job. We primarily utilize Rust, Go, and Python for our backend development, and our infrastructure is built on AWS, leveraging technologies like Kubernetes, Redis, Athena, and Spark.
• • This role emphasizes an in-office first approach for the initial year to ensure comprehensive mentoring and seamless integration into the team, fostering strong working relationships and effective knowledge transfer. We believe this structured onboarding is crucial for rapid development and long-term success.