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Principal/Senior Software Engineer - Java

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About the Role  

We are hiring a Principal/Senior Software Engineer to lead the design and evolution of our high-frequency, large-scale AdTech platform. This pivotal role blends deep expertise in Java backend systems with cutting-edge Generative AI applications. You'll own complex software systems end-to-end, shape the organization's technical direction, and thrive at the intersection of extreme scale - trillions of daily transactions - and bold innovation. 

What You'll Do:

  • Lead architectural vision for scalable, high-performance systems meeting strict security and maintainability standards.
  • Create and present independent design reviews; translate feature requirements into robust technical designs with end-to-end ownership of planning, execution, and release. 
  • Propose and integrate Generative AI to optimize ad delivery, targeting, and system efficiency. 
  • Develop and maintain scalable backend services using Java, Spring Boot, RabbitMQ, Elasticsearch, and related frameworks. 
  • Design efficient data models and optimize MySQL/PostgreSQL queries for high performance and reliability at massive scale (trillions in data volume, concurrency, transactions). 
  • Implement observability with comprehensive logging, metrics, tracing, and alerting using Filebeat, ELK stack, and similar tools. 
  • Guide team on code quality, design patterns, and documentation; participate in code reviews, design discussions, and cross-team decisions. 
  • Mentor junior/senior engineers and deliver technical deep-dive training sessions every 3–4 months. 
  • Solve "impossible" problems creatively, align with organizational goals, and foster a culture of innovation and technical leadership. 

We'd Love for You to Have:

  • 5 - 8 years of core software engineering experience, with a proven track record designing and deploying enterprise-grade applications. 
  • Expert Java backend skills: Advanced proficiency in Java 11+, Spring/Spring Boot ecosystem, and REST web service development. 
  • Exceptional problem-solving: Strong analytical skills to troubleshoot complex distributed systems in dynamic, high-stakes environments. 
  • Hands-on AI/GenAI experience: Building RAG (Retrieval-Augmented Generation), agentic workflows, and model integrations. 
  • Data mastery: Expertise in relational databases (MySQL, PostgreSQL)—schema design, query optimization, and performance tuning. 
  • Middleware & scaling: Practical work with messaging queues (RabbitMQ, Kafka), caching (Redis, Memcached), and high-concurrency systems. 
  • DevOps mindset: Strong understanding of CI/CD, Kubernetes, Docker, an