Job Description

Segmentify is an e-commerce personalization platform helping online retailers to optimise their conversion rates by enabling them to deliver a unique shopping experience for each visitor. Segmentify tracks each individual visitor’s behaviour in real-time and offers smart product recommendations by utilising in-house developed AI technology.

We have a dynamic and passionate compact team dedicated to creating a SaaS solution to boost eCommerce revenue. We are selected as one of the 25 Machine Learning Startups to Watch by Forbes magazine. We are one of the fastest growing start-ups in AI based e-commerce solutions with multiple investment rounds and have offices in 5 countries.

Role:

We are looking for a top-notch lead back-end developer who is prominent with modern and distributed web technologies and Machine Learning algorithms. You will be responsible for developing RESTful services to handle high volume online retail traffic with microservices architecture. You should be keen with modern MVC frameworks such as Spring Boot and convert user stories into functional and rock solid web applications; and also design and implement data APIs and services needed for other applications to consume. You will also be responsible for implementing Big Data solutions that should process billions of user interaction events per day in near real-time with strict SLAs (99.9% availability, sub-200ms latency), and run analysis and segmentations on top of them.

We are not looking for just a Java and Sprint Boot developer, but a software engineer that can turn business requirements into technical solutions, and then working products by collaborating with technical architect. We are asking for the ability to challenge architectural decisions constructively, propose alternatives, and guide trade-off discussions. You should have experience in cross-functional collaboration with product and data science teams to align technical solutions with business goals.

You will collaborate with the product team to deliver the micro-services, modules and features throughout the development life cycle. You will be responsible for developing, testing, debugging, and troubleshooting clean, web standards compliant solutions written in Java.

Our Tech Stack includes Java, Spring Boot, Cassandra, MongoDB, Redis, Apache Ignite, Kafka, PostgreSQL, Nginx. (check details from Stack Share Profile)

Requirements

Ability to handle multiple tasks simultaneously and meet deadlines

BSc or MSc degree in Computer Science, Computer Engineering, Software Engineering or related disciplines from reputable universities

10+ years of Java Development experience (Spring and RESTful APIs)

Proficient with RDBMS and ability to write SQL (PostgreSQL is preferred)

Strong experience with In Memory Database and Caches (Apache Ignite and Redis are preferred)

Scalable and distributed web application experience (Reactive programming and Spring Reactor experience is preferred)

Experience in developing with microservice architectures

Experience with Continuous Integration and Delivery pipelines

Cloud platform development experience (Google Cloud is preferred)

NoSQL database experience (MongoDB and/or Cassandra is preferred)

Hands-on experience with event-driven architectures and complex event processing frameworks (e.g. Flink, Kafka Streams, Esper) to derive insights from continuous event streams

Good knowledge of design patterns and experience in implementing them in object-oriented fashion

Experience designing fault-tolerant, multi-region deployments in cloud environments is a plus

Familiarity with recommendation algorithms, ranking, personalization, or ML integration into production microservices

Hands-on with Solr / Elasticsearch / OpenSearch for large-scale product search is a plus

Strong knowledge and focus on observability (metrics, tracing, profiling) and reliability (SLAs, SLOs)

Good verbal and written communication skills and ability to convert user stories into full functional interfaces and APIs

Proficient in using Git version control and branching methodologies

Proficient in English (TOEFL or IELTS certification is preferred)