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Rewriting the rules of sports betting & gaming
The Role
The Senior Backend Engineer will develop scalable backend services for an ML platform, focusing on APIs, data pipelines, and collaboration with ML teams while mentoring junior engineers.
Summary Generated by Built In
As a Senior Backend Engineer in our ML Platform squad, you’ll drive the development of a brand-new ML Platform for the whole Engineering organization at Happening. You will be enabling adoption of ML and AI across all the teams and tribes in our org, and your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.What you’ll be doing:
- Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring.
- Re-architect and rebuild existing data pipelines to handle real-time data processing and support production ML models.
- Develop tools that make it easier for ML engineers to design, test, and deploy ML pipelines.
- Ensure platform services are robust, secure, and meet high standards for performance and reliability.
- Collaborate with ML engineers, data scientists, and product teams to understand their needs and translate them into platform capabilities.
- Drive adoption of ML best practices and promote reusability of tools across teams.
- Contribute to the overall architecture and vision of the ML platform, ensuring it can scale with the company’s growth.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We’re looking for someone with:
- 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role.
- Strong programming skills in Python.
- Proven experience designing and building distributed systems and APIs at scale.
- Hands-on experience with real-time data processing frameworks (e.g., Kafka, Flink, Spark Streaming, Pulsar).
- Experience working with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes).
- Strong understanding of data modeling, storage systems, and streaming/processing architectures.
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Familiarity with ML model lifecycle management (training, deployment, monitoring).
- Excellent collaboration and communication skills, with the ability to work cross-functionally.
Bonus point for:
- Experience building or working on ML platforms or MLOps frameworks.
Top Skills
AWS
Azure
Docker
Flink
GCP
Kafka
Kubernetes
Metaflow
Mlflow
Pulsar
Python
Spark Streaming
Zenml
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The Company
What We Do
Happening is the technology engine powering Superbet Group's global platforms and brands that bring thrill to customers across the world every day.
We are a game-changing tech company rewriting the rules of sports betting and gaming. We are shaking up the status quo by building our own end-to-end tech stack, solving deep and complex challenges for millions of customers and shaping our culture to work uniquely for the tech community.
A true challenger, our technology handles serious scale on par with the Big Techs, and customer obsession runs through every team. Building our own platform gives us freedom to innovate and flip the legacy perceptions and industry stereotypes.
