Project Description
We are transforming our fleet management platform and data processing infrastructure from a monolithic application to a modern, event-driven microservices architecture. This includes shifting from a tightly coupled relational database to a scalable, multi-tenant event stream platform and Kubernetes operators development.
We are looking for a strong Senior Backend Engineer to help evolve our platform into a multi-tenant, event-driven architecture.
You can come from any mature backend background (Java, .NET, Node.js, Rust, Python, etc.), but you must be willing to switch to Go, as our backend services are developed in Go.
Prior Go experience is not required, but you need to be comfortable ramping up quickly and writing production-grade Go code.The core requirement is strong distributed-systems expertise and hands-on experience with event-streaming technologies such as Pulsar or Kafka.
Design and maintain distributed microservices (Go-based environment).
Work with event-streaming systems such as Apache Pulsar or Kafka.
Deploy and operate services in Kubernetes across cloud environments.
Ensure observability: logs, metrics, tracing, and reliability.
Participate in architecture discussions, code reviews, and performance optimization.
Collaborate with Data Engineering, Platform, and DevOps teams.
Core Backend Skills
5+ years of backend development in any production language: Java, .NET, Node.js, Python, Rust, Elixir, Ruby, etc.
Strong experience with event-driven systems: Apache Pulsar, Kafka, or similar.
Experience designing and maintaining distributed microservices.
Solid understanding of concurrency, scalability, and high-throughput system design.
Willingness to adopt Go as the primary language for the project.
Cloud & Deployment
Practical experience with Kubernetes operators, CRDs, and Helm.
Understanding of cloud CI/CD systems and delivery pipelines (GitHub Actions).
Data
Experience with PostgreSQL and Redis.
Understanding of Data Engineering concepts, including ETL/ELT and streaming workflows.
Experience with Go (Golang).
Experience with C/C++ (networking, concurrency, high-performance systems).
Experience with observability stacks: Prometheus, Grafana, OpenTelemetry.
Experience building multi-tenant architectures.
Python experience for data workflows.
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