Lead Android-Backend Engineer

Ninja Van is a late-stage logtech startup that is disrupting a massive industry with innovation and cutting edge technology. Launched 2014 in Singapore, we have grown rapidly to become one of Southeast Asia's largest and fastest-growing express logistics companies. Since our inception, we’ve delivered to 100 million different customers across the region with added predictability, flexibility and convenience. Join us in our mission to connect shippers and shoppers across Southeast Asia to a world of new possibilities. More about us:  - We process 250 million API requests and 3TB of data every day.- We deliver more than 2 million parcels every day.- 100% network coverage with 2600+ hubs and stations in 6 SEA markets (Singapore, Malaysia, Indonesia, Thailand, Vietnam and Philippines), reaching 500 million consumers.- 2 Million active shippers in all e-commerce segments, from the largest marketplaces to the individual social commerce sellers.- Raised more than US$500 million over five rounds.We are looking for world-class talent to join our crack team of engineers, product managers and designers. We want people who are passionate about creating software that makes a difference to the world. We like people who are brimming with ideas and who take initiative rather than wait to be told what to do. We prize team-first mentality, personal responsibility and tenacity to solve hard problems and meet deadlines. As part of a small and lean team, you will have a very direct impact on the success of the company.

Responsibilities

We are looking for engineers with deep expertise in either Android and Backend development - and an openness to contribute to the other area once onboarded. Design, build, and maintain highly scalable Android apps and/or backend services. Flexibility across domains : If your expertise is Android , be open to contributing to backend APIs and services. If your expertise is Backend , be open to contributing to Android app development. Ensure reliability, performance, and scalability in all systems. Collaborate with product managers, designers, QA, and DevOps to deliver features end-to-end. Participate in code reviews and design discussions, driving engineering best practices.

Requirements

7+ years of professional software engineering experience, with at least 3+ years in Android and Backend . Android (preferred) : Proficiency in Kotlin (Java experience acceptable), Android SDK, UI/UX best practices, API integration. Backend (preferred) : Hands-on experience with Golang (Java experience acceptable), micro-services, RESTful APIs. Strong knowledge of MySQL or TiDB . Solid understanding of cloud concepts (scalability, distributed systems, networking, storage). Direct GCP experience is not required . Strong foundation in system design, algorithms, and data structures . Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes) .

Nice-to-Have

Experience with Kafka or other messaging systems . Exposure to frontend frameworks (React, Angular) is a plus.

What We Offer

The chance to work on products at massive scale - millions of users, millions of parcels, billions of data points. Growth opportunities : expand into Backend if you are mobile-focused, or into Android if you are backend-focused. A collaborative environment with opportunities to mentor and be mentored . Competitive compensation, benefits, and career progression in a high-growth tech company. In short : We want engineers who are experts in Android (Kotlin) and Backend (Golang) , and open to working across both domains to solve logistics problems at true scale. Please apply only if you have relevant experience with the technologies and experience mentioned above.Tech Stack Backend: Play (Java 8+), Golang, Node.js, Python, FastAPIFrontend: AngularJS, ReactJSMobile: Android, Flutter, React NativeCache: Hazelcast, RedisData storage: MySQL, TiDB, Elasticsearch, Delta LakeInfrastructure monitoring: Prometheus, GrafanaOrchestrator: KubernetesContainerization: Docker, ContainerdCloud Provider: GCP, AWSData pipelines: Apache Kafka, Spark Streaming, Maxwell/Debezium, PySpark, TiCDCWorkflow manager: Apache AirflowQuery engines: Apache Spark, Trino

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