The role of the core model team, within the Business Data & Dev group, is to own and maintain the services and business workflows that manage our accounts lifecycle, while ensuring that our customers have a smooth and reliable user experience.
We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.
We develop event-driven systems and real-time APIs that are used widely across us and are written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.
What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.
What you have
4+ years of experience in backend software engineering.
2+ years of hands-on experience with Node.js and Apache Kafka.
1+ year of experience with AI concepts and tools, integrating AI workflows into backend systems.
Strong server-side development skills with proven experience building services in large-scale production environments.
Proficiency with both SQL and NoSQL databases.
Experience working in public cloud environments (AWS is a strong advantage).
Practical experience with CLI and Docker.
Experience building and maintaining CI/CD pipelines.
A strong team player with a sense of ownership and accountability.
A mindset of continuous learning, curiosity, and openness to trying new technologies.
Ability to understand the big picture, including technical and business perspectives.
B.Sc. in Computer Science or equivalent practical experience.
Bonus points
Experience in Go/TypeScript.
Understanding of Kubernetes.
