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- Tasks: Lead the design of scalable systems using Scala and Kafka in a hybrid work environment.
- Company: A cutting-edge technology firm specialising in innovative betting solutions.
- Benefits: Competitive salary, flexible working, and opportunities for mentorship and growth.
- Why this job: Join a dynamic team and shape the future of betting technology with your expertise.
- Qualifications: Strong Scala skills and experience with Kafka; mentoring abilities are a plus.
- Other info: Be part of a culture that values innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A technology firm specializing in betting solutions is seeking a Senior Software Engineer to join their London-based team. The role involves leading the design of scalable systems and requires strong expertise in Scala and familiarity with tools like Kafka.
The successful candidate will work in a hybrid environment, mentoring junior engineers while participating in significant architectural decisions. The company values innovation and promises a competitive benefits package.
Senior Software Engineer: AI-Driven, Scala & Kafka Lead in London employer: Txodds
Contact Detail:
Txodds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer: AI-Driven, Scala & Kafka Lead in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Scala or Kafka. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI-driven solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Scala and Kafka knowledge. Practice coding challenges and system design questions to demonstrate your expertise during the interview.
✨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 proactive about their job search.
We think you need these skills to ace Senior Software Engineer: AI-Driven, Scala & Kafka Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Scala and Kafka. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven solutions and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Leadership Skills: Since this role involves mentoring junior engineers, make sure to mention any leadership experience you have. We’re looking for someone who can inspire and guide others, so share examples of how you’ve done this in the past.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Txodds
✨Know Your Tech Inside Out
Make sure you brush up on your Scala and Kafka skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring junior engineers, prepare examples of how you've successfully led a team or guided less experienced colleagues in the past. Highlight your approach to fostering innovation and collaboration.
✨Understand the Company’s Vision
Research the technology firm and its betting solutions. Familiarise yourself with their products and values, especially their focus on innovation. This will help you align your answers with what they’re looking for in a candidate.
✨Prepare for Architectural Discussions
Be ready to engage in conversations about system design and architecture. Think about scalable systems you've designed or contributed to, and be prepared to discuss your thought process and decision-making criteria.