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- Tasks: Develop high-performance systems for processing massive data in real-time.
- Company: Join a forward-thinking tech company focused on innovation and scalability.
- Benefits: Enjoy 25 days holiday, competitive salary, and remote work flexibility.
- Other info: Collaborate with a talented team and grow your career in a dynamic environment.
- Why this job: Make a significant impact by building resilient systems that serve thousands of clients.
- Qualifications: 5-7 years of Python experience and expertise in distributed systems required.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities:
- Be responsible for developing systems that process data at near real time for thousands of events per second, operating with data sets in the region of tens of billions of rows.
- Contribute towards mission critical systems for the business, helping us to scale our platform to meet the demands of our clients.
- Work closely with the lead architect to build services that are scalable, fault tolerant, and resilient.
- Write clean, well-tested and refactored code while keeping in mind maintainability and scalability of the system.
Qualifications:
- Have a minimum of 5-7 years of robust professional software development experience, prominently utilising Python as the primary language, within a commercial setting.
- Demonstrate mastery of Python programming, encompassing an extensive understanding of Python libraries and frameworks, coupled with a track record of building distributed systems with a strong emphasis on high concurrency.
- Experience developing against large volumes of data and implementing systems that are fault tolerant, distributed, and horizontally scalable.
- Excellent written and verbal communication skills, for collaborating with team members and authoring technical documentation.
Preferred Qualifications:
- Hands-on experience with technologies such as Kafka, MySQL, and Postgres.
- Experience with processing financial data.
- Experience in reverse engineering and problem-solving, specifically the ability to understand existing systems written in PHP and reimplement them.
- An understanding of operational principles, specifically Linux-based systems.
Benefits: 25 days holiday in addition to
Senior Python Engineer (Remote) employer: Partnerize
Contact Detail:
Partnerize Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Python Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work with Python or in similar roles. 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 Python and large data sets. This gives potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and system design principles. Practice coding challenges and be ready to discuss your past projects, focusing on scalability and fault tolerance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Python Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any relevant technologies like Kafka or MySQL. We want to see how your skills match up with what we're looking for, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the Senior Python Engineer role. Share your passion for developing scalable systems and how your past experiences have prepared you for this challenge.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and adapt to new challenges, especially when it comes to working with large data sets.
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 makes the whole process smoother for everyone involved!
How to prepare for a job interview at Partnerize
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss specific libraries and frameworks you've used, and prepare to solve coding challenges on the spot. Practising common algorithms and data structures in Python can really help you shine.
✨Showcase Your Experience with Large Data Sets
Since the role involves handling vast amounts of data, be prepared to talk about your past experiences with large data sets. Share examples of how you've built scalable systems and handled high concurrency. This will demonstrate your ability to meet the demands of the job.
✨Communicate Clearly and Effectively
Strong communication skills are key for this position. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with team members and write documentation. Consider doing mock interviews to refine your verbal communication.
✨Familiarise Yourself with Relevant Technologies
If you have experience with Kafka, MySQL, or Postgres, make sure to highlight it during the interview. If not, take some time to learn the basics of these technologies. Showing that you're proactive about understanding the tools relevant to the role can set you apart from other candidates.