At a Glance
- Tasks: Lead the development of high-performance back-end services for e-commerce platforms.
- Company: Join a fast-growing AI start-up recognised by Forbes for innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in e-commerce with cutting-edge technology and a passionate team.
- Qualifications: 10+ years in Java development and experience with microservices architecture.
The predicted salary is between 72000 - 108000 £ per year.
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 Spring 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.
Requirements:
- 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
- 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)
- Ability to handle multiple tasks simultaneously and meet deadlines
Lead Back-End Developer - Java employer: Segmentify
Segmentify is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among a passionate team dedicated to revolutionising e-commerce through AI technology. Located in London, employees benefit from a dynamic environment with ample opportunities for professional growth, as well as the chance to contribute to cutting-edge projects that are shaping the future of online retail. With recognition as one of the fastest-growing start-ups and a commitment to employee development, Segmentify provides a rewarding and meaningful career path for those looking to make an impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Back-End Developer - Java
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Java and microservices. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving Spring Boot and RESTful APIs. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of design patterns and event-driven architectures. Practising coding challenges can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our dynamic team.
We think you need these skills to ace Lead Back-End Developer - Java
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Back-End Developer role. Highlight your experience with Java, Spring Boot, and any relevant microservices architecture projects. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about e-commerce and how your background makes you a perfect fit for our team. Let us know what excites you about working with AI technology.
Showcase Your Projects:If you've worked on any cool projects, especially those involving RESTful services or big data solutions, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our dynamic team!
How to prepare for a job interview at Segmentify
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, Spring Boot, and the databases like PostgreSQL and MongoDB. Brush up on your knowledge of microservices architecture and be ready to discuss how you've implemented these technologies in past projects.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of RESTful services, design patterns, and event-driven architectures. Practice coding problems related to these topics and be prepared to explain your thought process clearly during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your ability to turn business requirements into technical solutions, as this is crucial for the role. Use examples that demonstrate your collaborative work with product and data science teams.
✨Communicate Effectively
Strong communication skills are key, so practice articulating your ideas and experiences clearly. Be prepared to convert user stories into functional interfaces and APIs during the discussion. This will show that you can bridge the gap between technical and non-technical stakeholders.
