Job Description
We are on the lookout for a Software Engineer II, Kotlin/Java - (Logistics Optimisation, Routing Experimentation) to join our team.
You will become an integral part of the Experimentation squad. We own an ecosystem used by algorithm engineers and operations to simulate real-life behaviour of food delivery fleets. We run dozens of city-scale simulations per day to provide insights about new hypotheses and features performances, to let only the best of them reach the AB testing stage in real life. We also provide a management platform for configurations of our whole tribe, giving fine tuning capabilities as well as an operational overview of the delivery situation.
Our squad is an important part of the Optimisation domain, that makes sure that our order delivery gets profitable and faster every day.
1. Be technical expert: demonstrate technical savviness and expertise in programming languages, frameworks, databases. Be an inspiration for peers and junior colleagues.
2. Own your software: own the process of architecture design for squad services. Monitor and improve the existing service landscape. Make effective and weighted decisions while building scalable and resilient software. Implement monitoring and alerting.
3. Be autonomous: effectively manage your own time, own your software end to end, including design, cloud deployment and monitoring
4. Be creative: share your ideas, challenge the status quo.
5. Be a teamplayer: Grow and succeed together with the team, be collaborative, and bring arguments to the discussion.
6. Understand the domain: understand the real needs of the users and help Product to solve their problems. Be ready to dive in and study the business domain and propose your own ideas.
Qualifications
7. You have 3+ years of overall professional application development experience
8. You worked in agile and scrum, aware of estimations and sprints
9. Proficiency in Kotlin (preferably) or Java
10. Proficiency in Spring / Quarkus frameworks
11. Understanding of service-oriented and microservices architectural patterns
12. Understanding of CI and CD
13. Experience with infrastructure-related technologies like Kubernetes, Terraform, Docker
14. Experience with AWS or similar Cloud platforms
15. Experience with SQL and NoSQL databases
Nice to have:
16. Experience with monitoring tools: Grafana, Prometheus
17. Knowledge on distributed systems and horizontal scalability topics.
18. Experience with highly concurrent systems and multi-threading.
19. Experience with languages like TypeScript, Python, Go is a plus.
20. Experience with Micronaut framework
21. Experience with the Logistics domain.