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

adsquare GmbH · Berlin

Berlin · RemoteFull-TimePosted 4mo ago

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Job description

Intro At Adsquare, our mission is driven by our core focus: Passion – Solving complex challenges with great people, tech, and data. Niche – Location Intelligence for Programmatic Advertisers.

Our core values are integral to 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 seek candidates who not only bring top-tier technical expertise but also embody these values in every aspect of their 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 be expected to proactively identify problems, propose solutions, and drive them to 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 a strong backend and cloud background, who is comfortable owning complex systems in production.

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, including designing cloud-native architectures

Strong understanding of concurrency, data consistency, and system reliability

Experience working with PostgreSQL or other relational databases in high-throughput environments

Ability to debug and optimize systems in production (performance, memory, latency)

A proactive approach: you identify problems, take ownership, and drive solutions without close supervision

Nice to have:

Have worked on systems processing large volumes of data or high request throughput

Understand trade-offs between different architectural approaches (e.g. synchronous vs asynchronous processing)

Are comfortable making decisions in ambiguous situations

What you will do

Maintain and evolve existing partner integrations, ensuring reliability and scalability

Design and build new integrations to deliver large-scale data to our partners

Contribute to migrating and adapting services to a cloud-native architecture on AWS

Monitor system health, troubleshoot production issues, and improve overall system stability

Nice to Have We are particularly interested in candidates who have worked in environments involving:

Data-intensive systems or high-throughput backend services

Cloud-based architectures (especially AWS)

Partner integrations or API-driven systems

Systems evolving from monolithic to distributed or cloud-native architectures

Our Software Stack Our backend stack is centered around the JVM ecosystem and AWS.

Core technologies:

Java (11+) and Kotlin

Spring / Spring Boot

AWS (e.g. S3, SQS/SNS, Lambda)

PostgreSQL

In our environment, you will also work with:

Infrastructure as Code (Terraform)

NoSQL databases (e.g. MongoDB)

Container orchestration (Kubernetes)

Data processing tools (e.g. Athena, Glue, Batch, Step Functions)

We do not expect prior experience with all of the above, but you should be comfortable working with modern cloud infrastructure and data-intensive systems.

Salary Range (Annual On-Target Earnings) Yearly compensation: 60,000 - 65,000 € per year

Recruiting Process For technical roles (Data, Engineering, and Product), candidates are encouraged to upload any technical certifications referenced in their CV via the "Other Documents" section of the application form. Alternatively, certification documents may be submitted after the first technical interview. Any certifications listed on the CV must be provided and successfully validated before proceeding to the second technical interview stage.

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

Work model Remote

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