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We are looking for Backend Engineers who are curious about systems operating at internet scale—engineers who get excited about how products handle massive DAU, real-time bidding decisions, and high-volume data pipelines. If you enjoy understanding the business impact behind the systems you build, this role will give you exposure to both deep infrastructure challenges and the mobile monetization domain.
This role is based in India with a hybrid work model.
Role & Responsibilities
- Design and build high-throughput backend systems that process billions of requests and events daily across the ad monetization platform.
- Develop scalable microservices, APIs, and event-driven pipelines that power real-time ad serving, analytics, and publisher monetization.
- Work closely with product and business teams to understand DAU trends, traffic patterns, and monetization flows, translating them into scalable backend architectures.
- Optimize backend services for low latency, reliability, and efficient resource usage across distributed systems.
- Build and maintain data pipelines and integrations with PostgreSQL, Kafka, Redis, and other distributed systems.
- Implement observability, monitoring, and debugging frameworks to ensure system health at large scale.
- Participate in code reviews, architecture discussions, and performance optimization initiatives.
Must Have
- Strong experience with Golang.
- Experience building RESTful APIs and microservices
- Knowledge of PostgreSQL or relational databases
- Experience with Kafka or event-driven systems
- Familiarity with Docker and containerized environments
- Experience with Kubernetes and cloud platforms (AWS)
- Knowledge of Redis or caching strategies
- Exposure to high-scale systems, adtech platforms, or high DAU consumer products
- Interest in understanding mobile monetization, ad infrastructure, or real-time bidding ecosystems
- Hybrid work environment with flexibility and ownership.
- Opportunity to work on systems handling billions of requests and real-world scale problems.
- Competitive compensation and performance-linked incentives.
- Engineering culture focused on high ownership, fast iteration, and deep technical learning.
Key Skills
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