Software Development Engineer III

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
5+ years of experience in backend software development with a focus on scalable, distributed systems
Proficiency in Kotlin, or strong experience in another JVM-based language (e.g., Java) with a willingness to learn Kotlin
Hands-on experience with Redis, Elasticsearch, and Apache Kafka in a production environment
Strong understanding of algorithms, data structures, and system design principles
Experience with cloud-based environments and technologies (AWS, GCP, or Azure – Preferably AWS)
Proven ability to debug, troubleshoot, and optimize distributed systems in production
Experience with CI/CD pipelines, test automation, and containerization tools (e.g., Docker, Kubernetes)
Excellent communication skills, with the ability to collaborate across teams and influence technical decisions

Design and develop scalable, high-performance backend services that handle millions of search requests per day
Implement efficient data structures and algorithms to optimize search orchestration, relevance, ranking, and retrieval using technologies like Elasticsearch and Redis
Work on messaging and event-driven systems with Apache Kafka to ensure reliable and low-latency data flow between services
Collaborate with product managers, engineers, and stakeholders to deliver high-quality, user-focused features
Maintain and improve our existing Kotlin-based codebase, following software engineering best practices including CI/CD, automated testing, and monitoring
Optimize and tune search performance in distributed systems, handling fault tolerance, replication, and failover scenarios
Mentor junior engineers by conducting code reviews, sharing knowledge, and providing feedback
Take part in on-call rotations and work to improve system reliability and operational excellence
Stay up to date with the latest technologies and contribute ideas to continuously improve our systems and processes

Knowledge of microservices architecture and event-driven design patterns
Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana)
Experience in orchestration services, recommendation engines, or e-commerce search platforms
Familiarity with machine learning or data-driven personalization techniques