Senior Backend Engineer - JVM (Java/Kotlin) & AWS

At Adsquare, our mission is driven by two core pillars: Passion – Solving complex challenges with great people, technology, and data Niche – Location Intelligence for Programmatic Advertising Our core values are at the heart of everything we do: • Drive: We turn ambition into action • Resilience: We adapt, persevere, and grow stronger • No BS: We value honesty, transparency, and clear communication • Humble: We choose modesty over vanity and let results speak for themselves • Moral Compass: We do the right thing with fairness, integrity, and respect We are looking for candidates who not only bring strong technical expertise but also embody these values in their everyday work. Your Mission As a Senior Backend Engineer at Adsquare, you will take ownership of designing and operating high-scale distributed systems that power our core data products. Your primary mission is to build reliable, high-throughput backend services on the JVM that process and serve large volumes of location intelligence data in real time. You will work in a highly autonomous, cross-functional team and are expected to proactively identify problems, propose solutions, and drive them into production. In this role, you will: • Design and evolve distributed backend systems with a strong focus on scalability, performance, and reliability • Own services end-to-end: from architecture decisions to production operations • Build and operate cloud-native systems on AWS • Collaborate closely with Product and Data teams to deliver impactful features • Continuously improve system design, engineering practices, and team effectiveness Your Profile We are looking for a senior-level engineer with strong backend and cloud experience, comfortable owning complex production systems. Must have • 4–5+ years of experience building backend systems in production environments • Strong expertise in Java or other JVM-based languages (Kotlin, Scala) and the Spring ecosystem • Proven experience designing and operating distributed systems under real-world load • Hands-on experience with AWS and cloud-native architectures • Strong understanding of concurrency, data consistency, and system reliability • Experience with PostgreSQL or other relational databases in high-throughput environments • Ability to debug and optimize production systems (performance, memory, latency) • Proactive mindset: you identify problems, take ownership, and drive solutions independently We especially value candidates who: • Have worked on high-volume data or high-throughput systems • Understand trade-offs between architectural approaches (sync vs async, etc.) • Are comfortable making decisions in ambiguous environments What You Will Do • Maintain and evolve existing partner integrations, ensuring reliability and scalability • Design and build new integrations for large-scale data delivery • Contribute to migrating services toward a cloud-native AWS architecture • Monitor system health, troubleshoot production issues, and improve stability Desired Background We are particularly interested in candidates with experience in: • Data-intensive or high-throughput backend systems • Cloud-based architectures (especially AWS) • API-driven or partner integration systems • Monolith-to-distributed or cloud-native transformations Your Opportunities In this role, you will have real influence over the technical direction of our systems. We operate with a high level of ownership: engineers are expected to make decisions, propose improvements, and drive execution from idea to production. You will: • Shape system architecture and key technical decisions • Own services end-to-end and evolve them over time • Contribute to scaling our systems and data processing capabilities • Work in an environment that values initiative and accountability Recruiting Process Our hiring process is transparent, focused, and respectful of your time: • Intro & Values Conversation – Getting to know each other, discussing experience, and aligning expectations • Technical Interviews – Backend fundamentals and system design discussions • Final Step – Team meeting followed by decision and offer A reference check will be conducted at the final stage. Our Tech Stack Our backend stack is centered around the JVM ecosystem and AWS: Core technologies: • Java (11+) and Kotlin • Spring / Spring Boot • AWS (S3, SQS/SNS, Lambda, etc.) • PostgreSQL Also used in our environment: • Terraform (Infrastructure as Code) • MongoDB • Kubernetes • Data tools (Athena, Glue, Batch, Step Functions) We do not expect experience with all of these technologies, but you should be comfortable working in modern cloud and data-intensive environments.