At a Glance
- Tasks: Design and develop scalable microservices using Java and Spring Boot.
- Company: Join a forward-thinking tech company focused on innovation.
- Benefits: Competitive daily rate, hands-on experience, and growth opportunities.
- Why this job: Make an impact by working on real-time data solutions and cutting-edge technologies.
- Qualifications: Strong Java skills and experience with microservices and cloud environments.
- Other info: Collaborative team environment with potential for career advancement.
The predicted salary is between 28800 - 48000 Β£ per year.
About the Role:
- Design, develop, and maintain scalable microservices using Java and Spring Boot.
- Build and optimize real-time data pipelines leveraging Apache Kafka, Flink, and Spark/Databricks.
- Develop robust data distribution and streaming solutions for high-throughput systems.
- Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes).
- Write efficient and optimized SQL queries for relational databases.
- Integrate and manage applications in AWS cloud environments.
- Collaborate with cross-functional teams to ensure smooth delivery and integration of features.
- Implement monitoring and observability solutions (e.g., Datadog) for system health and performance tracking.
- Maintain high standards of code quality, reliability, and security.
Primary Skillset:
- Strong programming skills in Java and Spring Boot.
- Hands-on experience with Microservices architecture and RESTful APIs.
- Proficiency with Kafka and distributed streaming systems.
- Solid understanding of SQL and data modeling.
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Working knowledge of Flink, Spark, or Databricks for data processing.
- Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).
- Basic scripting in Python for automation or data manipulation.
Secondary Skillset:
- Experience with Datadog, Prometheus, or other monitoring tools.
- Exposure to CI/CD pipelines and DevOps practices.
- Knowledge of data engineering best practices and real-time analytics.
Key Skills to be focused on:
- Core Java (Concurrency/Multithreading) β Expert
- Core Java (Collections, Objects) - Expert
- Spring - Expert
- Kafka - Intermediate or above
- SQL and No SQL DB β Intermediate or above
- Hands-on with Flink, Spark, Databricks for data processing.
Java Backend Developer employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Java Backend Developer
β¨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Java and Spring Boot. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
β¨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your projects, especially those involving microservices or data pipelines. This gives potential employers a taste of what you can do beyond your CV.
β¨Tip Number 3
Prepare for technical interviews by practising coding challenges related to Java and SQL. Websites like LeetCode or HackerRank can help you sharpen your skills and boost your confidence before the big day.
β¨Tip Number 4
Donβt forget to apply through our website! Weβve got loads of opportunities waiting for talented Java Backend Developers like you. Plus, itβs a great way to get noticed by our hiring team directly.
We think you need these skills to ace Java Backend Developer
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your Java and Spring Boot skills, as well as your experience with microservices and containerization. We want to see how your background aligns with the role, so donβt be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about backend development and how your skills can contribute to our team. Keep it concise but engaging β we love a good story!
Showcase Your Projects: If you've worked on any cool projects involving Kafka, Flink, or AWS, make sure to mention them! Weβre keen to see practical examples of your work, so include links to your GitHub or any live demos if possible.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you donβt miss out on any updates from us!
How to prepare for a job interview at Norton Blake
β¨Know Your Tech Stack Inside Out
Make sure youβre well-versed in Java, Spring Boot, and the microservices architecture. Brush up on your knowledge of Kafka, Flink, and SQL, as these are crucial for the role. Be ready to discuss your past projects and how youβve applied these technologies.
β¨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges or technical questions during the interview. Practice common algorithms and data structures in Java, and be ready to explain your thought process. This will demonstrate your ability to think critically and solve problems effectively.
β¨Familiarise Yourself with Containerization
Since the role involves Docker and Kubernetes, make sure you understand how to deploy and manage applications in containerized environments. You might be asked about your experience with these tools, so having specific examples ready will help you stand out.
β¨Understand the Importance of Collaboration
This position requires working with cross-functional teams, so be prepared to discuss how youβve collaborated in the past. Highlight any experiences where youβve integrated features or worked closely with other departments to ensure smooth delivery.