Senior Backend Engineer (AdTech)

Location: Hamburg, Germany; flexible hybrid model with work from home on Mondays and Fridays and office attendance on Tuesdays, Wednesdays, and Thursdays.

Company

hirify.global operates a rewarded user engagement and acquisition platform for mobile gaming that helps players discover games and enables gaming studios to improve campaign performance.

What you will do

• Architect and build high-scale backend systems for real-time decision-making, ad delivery, and performance tracking.
• Design low-latency, reliable REST and GraphQL APIs and integrate with third-party platforms, MMPs, and analytics tools.
• Improve performance and scalability through profiling, caching, horizontal scaling, containerized deployments, and observability.
• Work with Docker, Kubernetes, and modern monitoring stacks to maintain system reliability and visibility.
• Mentor engineers, lead architecture reviews, and promote clean, scalable design.
• Collaborate with product and data teams on features affecting campaign effectiveness and advertiser ROI.

Requirements

• 5+ years of backend engineering experience, including at least 2+ years in high-volume, data-rich environments.
• Strong Python expertise with production experience in FastAPI, Flask, or similar frameworks.
• Deep understanding of API design and backend integration, including REST and GraphQL.
• Experience with distributed systems, queues such as Kafka and RabbitMQ, and event-driven architectures.
• Strong performance tuning and scaling skills for latency-sensitive, high-throughput systems.
• Experience with Docker, Kubernetes, cloud infrastructure, deployment, orchestration, and observability.
• Ability to assess system-wide impacts and balance technical quality with business outcomes.
• Strong communication skills and ability to explain complex technical concepts to cross-functional teams, product managers, and business stakeholders.

Nice to have

• Experience with ad serving logic, tracking systems, fraud prevention, or real-time bidding.

Culture & Benefits

• Fast-paced, outcome-driven environment focused on essential work and rapid iteration.
• Entrepreneurial ownership, direct communication, and collaboration across engineering, product, and data.
• AI tools are used to reduce repetitive work and improve execution speed.
• Transport subsidy, learning budget, wellness and gym benefits, workation, and bi-weekly team lunches.
• Hybrid work arrangement with home working on Mondays and Fridays.