Our customer is a sell-side omnichannel advertising platform leveraging real-time mobile audiences and AI-driven technology to deliver large-scale, data-powered digital advertising campaigns. The platform works with thousands of mobile apps and websites worldwide, processing tens of billions of anonymized first-party data signals daily to help marketers understand consumer behavior, identify new opportunities, and drive business growth.
Your tasks: * Design and develop highly scalable, modular backend applications and APIs using Java and Spring Boot. * Own the full development lifecycle — from requirements analysis, design, coding, and testing to deployment and monitoring in production. * Lead initiatives to improve system scalability, performance, and security. * Collaborate closely with Product, Algo, DevOps, BI, and Marketing to deliver integrated, business-driven solutions. * Ensure observability through robust logging, metrics, and alerting with tools like Prometheus, Grafana, Kibana. * Drive adoption of engineering best practices, code quality standards, and technical documentation. * Mentor and guide junior developers, fostering knowledge sharing and continuous improvement.
Required Experience and Skills: * Bachelor’s degree in Computer Science or equivalent practical experience. * 5+ years of professional Java development experience — Must * Proven track record in designing and delivering complex distributed systems and microservices (Docker, Kubernetes). * Strong understanding of scalability, concurrency, and performance optimization challenges. * Hands-on experience with CI/CD tools and automated build/deployment pipelines. * Proficiency in Spring & Spring Boot frameworks. * Excellent communication skills and the ability to influence technical direction across teams. * Experience running applications on Kubernetes, with a focus on designing services that scale efficiently and consume resources effectively (rather than cluster administration). * Ability to measure and improve application performance using profiling, benchmarking, and APM tools (e.g., JFR, JMeter, Micrometer, New Relic, Datadog).
Would be a plus: * Knowledge in the programmatic advertising landscape — DSPs, SSPs, exchanges — significant advantage. * Background with NoSQL databases (MongoDB, Couchbase) and SQL databases. * Knowledge of reactive programming (Spring WebFlux). * Familiarity with monitoring and alerting tools such as Prometheus, Grafana and Kibana.
Working Conditions: * Remote work; * 5-day working week, 8-hour working day, flexible schedule.
