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Location
In office (Bengaluru)
Seniority
Middle · 7+ years exp

First seen by Alion on Nov 14, 2026.

Overview
Company
Impact
Profile match

At SIXT, we are engineering the future of mobility, one system at a time. As a Senior Backend Engineer in our Data Science Finance team, you will develop the systems that power the full financial risk steering cycle. This is a role where backend engineering meets real-world operations at scale, in a team that builds with purpose and moves with pace.


YOUR ROLE AT SIXT:

  • You build ML powered systems together with Data Scientists and ML Engineers, from the first design session to the validated outcome in production, with one team working toward one goal
  • You understand the business and the processes to build solutions and not only write code
  • You design and build robust backend services in Golang that power the risk steering cycle and decision-making workflows
  • You are responsible for designing, developing, and operating end-to-end distributed systems on the cloud
  • You participate in code reviews, contribute to team knowledge sharing and maintain documentation
  • You work on event-driven systems and keep yourself up to date with the latest technologies to help you create scalable and resilient software


YOUR SKILLS MATTER:

  • You hold a B.Tech, B.E., or Master's Degree in Computer Science or a closely related discipline
  • You bring strong, production-proven experience in Golang, plus confidence in at least one more language such as Python or Java
  • You have 7-10 years of experience working in sophisticated technology environments such as building cloud-native applications, solving scalability challenges, designing event-driven solutions, and good to have working experience in ML-powered products
  • You have already designed or operated distributed systems and microservices architectures, with a clear understanding of the trade-offs that come with operating at scale, and experience working with cloud providers (AWS or similar)
  • You have good understanding of event-driven platforms, pub-sub and messaging using brokers such as Kafka, NSQ or RabbitMQ
  • You actively use AI coding assistants - such as Cursor, Claude - to accelerate your work, while confidently recognising their limitations and knowing when engineering judgment must take precedence
  • You have a product-oriented mindset and attention to detail
  • You act as a partner to Risk, Engineering, and Data Science; you challenge unclear framing, explain trade-offs in business terms, and communicate fluently

Skills

AWS, Go, Golang, Java, Kafka, Microservices, NSQ, Python, RabbitMQ

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