At a Glance
- Tasks: Design and implement real-time stream processing systems using Flink and Kafka.
- Company: Join hackajob, a forward-thinking tech company focused on innovation.
- Benefits: Starting salary of £87,500 plus RSUs and great perks.
- Other info: Exciting opportunity to work with AWS and complex distributed systems.
- Why this job: Be at the forefront of technology and make an impact in stream processing.
- Qualifications: Expertise in Flink, Kafka, Java, and Spring required.
The predicted salary is between 87500 - 87500 £ per year.
hackajob is seeking a senior software engineer with experience in stream processing to work on their AWS systems. The role involves designing, architecting, implementing, and operating systems, while also assisting Product Engineers with tooling.
The ideal candidate should have expertise in Apache Flink, Kafka Streams, and a strong background in Java and Spring, alongside the capacity to build and manage complex distributed systems. Salary starts at £87,500 with additional RSUs.
Real-Time Stream Processing Engineer (Flink & Kafka) employer: hackajob
At hackajob, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As a Real-Time Stream Processing Engineer, you will not only enjoy a competitive salary starting at £87,500 and additional RSUs, but also benefit from continuous professional development opportunities and a collaborative environment that encourages creativity and growth. Located in a vibrant tech hub, our company offers unique advantages such as access to cutting-edge technologies and a supportive team dedicated to your success.
StudySmarter Expert Advice🤫
We think this is how you could land Real-Time Stream Processing Engineer (Flink & Kafka)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Apache Flink and Kafka. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Java and Spring knowledge. Practice coding challenges and system design questions that are relevant to stream processing. We want you to feel confident when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Real-Time Stream Processing Engineer (Flink & Kafka)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Apache Flink, Kafka Streams, and Java. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about stream processing and how your background makes you the perfect fit for our team. Keep it engaging and personal.
Showcase Your Problem-Solving Skills:In your application, include examples of how you've tackled complex distributed systems in the past. We love seeing how you approach challenges and come up with innovative solutions!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Apache Flink and Kafka Streams. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your System Design Skills
Prepare to talk about your experience in designing and architecting complex distributed systems. Think of specific examples where you’ve implemented solutions that improved performance or scalability, and be ready to explain your thought process.
✨Demonstrate Your Java and Spring Expertise
Since the role requires a strong background in Java and Spring, be prepared to answer technical questions or even solve coding problems on the spot. Practise common algorithms and design patterns that are relevant to stream processing.
✨Engage with Product Engineering Insights
Understand the role of Product Engineers and how your work will assist them. Be ready to discuss how you can contribute to tooling and collaboration, showing that you’re not just a techie but also a team player who values cross-functional work.
