Senior Software Engineer

We are the platform turning browsing into shopping. We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands.

We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases.

Ready to spark your growth with us?

WHO WE LOOK FOR 🦄

We are looking for a Senior Software Engineer to join our Audience Platform team within Ad Products.

In this role, you will own and extend the high-throughput, low-latency backend systems, event-driven architectures, and distributed data pipelines powering 1P, 2P, and 3P audience data for Flipp and Shopfully.

We are looking for a high-autonomy senior contributor who doesn't just write code, but owns production services end-to-end, drives system design decisions, scales core tables running into tens of billions of rows, and leverages cutting-edge AI tools to maximize engineering throughput.

If you are passionate about backend engineering, low-latency architectures, data at scale, and ad-tech innovation, this role is for you

WHAT YOU WILL DO 🏄

• Own & Extend the Audience Platform: Architect, build, and scale core backend systems including the Audience API, Audience Kafka Topics, User Profile API, Audience Management UI, and 2P/3P data ingestion infrastructure.
• Drive Integrations & Data Pipelines: Build and maintain high-volume activation platform integrations (e.g., DV360, Braze, TTD) and collaborate on Databricks segmentation pipelines and core data tables running into tens of billions of rows.
• Ensure High Performance & Observability: Design and operate low-latency, high-throughput microservices using Go, gRPC/Protobuf, and REST+OpenAPI, maintaining end-to-end service observability and APM via Datadog and Datadog OnCall.
• Support ML & AI Workstreams: Partner with Machine Learning Engineers and Data Scientists to support models (IAB Segmentation Model, Retailer/Category Affinity Segments) and integrate AI-assisted development practices (e.g., Cursor, Claude Code) into day-to-day engineering workflows.
• Privacy & Compliance: Plan and execute technical initiatives with strict adherence to data regulatory laws (GDPR, CCPA, consent management).
• Technical Leadership & Execution: Lead large-scale, cross-functional engineering initiatives from design to execution, contributing directly to team and company OKRs (including driving $7M+ in targeting revenue).
• Cross-Functional Collaboration: Partner closely with Product Managers, Engineering Managers, Data Engineers, and cross-departmental stakeholders (Ad Supply, Ad Demand, Programmatic, Marketing Science).

WHAT YOU WILL NEED 🪄

• 5+ years of backend/distributed systems engineering experience, ideally in Go (the team's primary language for high-throughput, low-latency services).
• Production experience with Kafka-based event-driven architecture (Confluent Kafka).
• Hands-on experience with Python or Scala, and strong SQL skills.
• Proven track record of owning a production service end-to-end, including on-call rotation.
• Comfort with distributed data pipelines at scale and experience designing/operating gRPC/Protobuf and REST+OpenAPI services.
• Container orchestration & Cloud fluency: Experience with AWS and Kubernetes (EKS).
• Active use of AI coding agents (e.g., Cursor, Claude Code) to increase personal development throughput.
• High autonomy in ambiguity and ability to communicate technical designs clearly to both technical and non-technical stakeholders.
• Fluent in English with ability to provide overlap availability into North American hours (9am to 12pm EST).

👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you

NICE TO HAVE 🎆

• Ad-tech, programmatic advertising, or activation platform experience.
• Privacy engineering background (GDPR, CCPA, consent systems).
• Familiarity with Databricks-specific tooling.
• Experience deploying ML systems or working closely with ML pipelines.

SALARY RANGE ⚖️ : €50,000 – €70,000 fixed gross salary per year.

LOCATION 🌐

While we have offices in Mil