Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery. 

We’ve been building Java solutions since day one, with a team of 200+ engineers delivering everything from web and mobile applications to complex system integrations. Our expertise spans Java/J2EE development, app modernization, and large-scale migration projects.

• 5+ years of hands-on backend engineering experience with Java and Spring Boot 3, building and maintaining production microservices
• Mid-to-senior level engineering background with demonstrated ownership of production services in a distributed systems environment
• Experience with GraphQL: either building APIs with Netflix DGS or consuming GraphQL APIs using the Apollo Java/Kotlin client
• Hands-on experience with event-driven distributed systems using at least one of AWS SQS, Apache Kafka, or RabbitMQ
• Strong experience with JPA/Hibernate and Spring Data JPA with MySQL/Aurora, including transactional design and optimistic locking
• Strong testing experience with JUnit 5, Mockito, and integration testing against live environments
• Experience with Gradle multi-module builds
• Experience with GitLab CI/CD pipelines
• Experience with Datadog, including metrics, monitoring, and production/deployment monitors
• Responsible use of AI coding assistants such as GitHub Copilot or Claude to accelerate development while maintaining code quality and correctness
• English level B2 or higher

• Develop and maintain Java / Spring Boot backend services, delivering feature development, bug fixes, and reliability improvements across BAM services
• Solve distributed systems challenges, including transactional consistency, event-driven correctness, notification reliability at scale, and safe multi-entity migrations
• Keep advertiser billing accounts accurate, compliant, and synchronized across MySQL / Aurora, DynamoDB, MongoDB, and external platforms such as Zuora
• Deliver production-ready features and fixes through GitLab CI/CD
• Maintain strong unit and integration test coverage that meets JaCoCo quality gates
• Improve system reliability through better observability, resilience patterns, safe canary deployments, and production deployments gated by Datadog monitors

• EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
• Licenses for AI tools: GitHub Copilot, Cursor, and others
• 24 working days of vacation per year
• Expanded medical insurance
• Corporate getaways & team building activities
• Fitpass sport program
• Support for significant life events
• Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
• Referral bonuses for bringing in new talent