At a Glance
- Tasks: Join a dynamic team to enhance software reliability and performance using Python.
- Company: Leading global investment management firm focused on tech innovation.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 5+ years in Python, experience with automation tools, and strong problem-solving skills.
- Other info: Collaborative culture with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Join a leading global investment management firm at the forefront of technology innovation. We are searching for a talented Python Engineer to join our Risk & Market Access division. At our firm, we harness a diverse portfolio of systematic and quantitative strategies, striving to deliver high-quality, uncorrelated returns. Our success is built on a strong foundation of cutting-edge technology, rigorous scientific research, and deep expertise across trading, technology, and operations.
As a tech-driven organization, we develop our own advanced systems, including high-performance trading platforms and large-scale data analysis infrastructure. With a global presence, we emphasize collaboration across investment, technology, and operations teams, ensuring seamless integration across our offices worldwide. Within this Reliability team, you will play a vital role in maintaining the performance, stability, and availability of our software systems. You will be working closely with mission-critical applications, developing reliability features, improving observability, and building automation tools to streamline operations.
About the Role
- 5+ years in Python, with familiarity with version control (e.g., Git), and experience working in a Linux environment.
- Experience in building automation tools and managing system configurations.
- Knowledge of C++, KDB/q, and experience with technologies like Slurm, Airflow, Kafka, or AMPS.
- Background in enhancing system stability, scalability, and performance while conducting root cause analyses to resolve incidents efficiently.
- Observability skillset, monitoring and analysis of system performance.
- Ability to identify and address bottlenecks to improve response times and resource usage for our production systems, for performance optimization.
- Demonstrable background creating and maintaining automation solutions for system operations, deployments, and incident management to reduce manual tasks and improve system reliability.
This is a unique opportunity to work in a dynamic and fast-paced environment where technology and innovation are at the heart of everything we do. If you are a skilled software engineer with a passion for reliability, we would love to hear from you!
Python Developer Backend in City of London employer: Ncounter Ltd
Contact Detail:
Ncounter Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer Backend in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects and automation tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills, especially around system stability and performance optimisation. Practice common coding challenges and be ready to discuss your past experiences in detail.
✨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, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Python Developer Backend in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant technologies mentioned in the job description. We want to see how your skills align 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 our Reliability team. Share your passion for technology and reliability, and give us examples of how you've tackled challenges in previous roles. Keep it engaging!
Showcase Your Projects: If you've worked on any automation tools or system configurations, make sure to include them in your application. We love seeing real-world applications of your skills, so don’t hesitate to share links to your GitHub or any relevant projects.
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 us you’re keen on joining our team!
How to prepare for a job interview at Ncounter Ltd
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your past projects and how you've used Python to solve complex problems, especially in a Linux environment. They’ll want to see your depth of knowledge and practical experience.
✨Familiarise Yourself with Automation Tools
Since the role involves building automation tools, it’s crucial to understand the technologies mentioned in the job description, like Airflow and Kafka. Prepare examples of how you've implemented automation in previous roles to streamline operations and improve system reliability.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific instances where you've enhanced system stability or resolved incidents. They’ll be looking for your ability to conduct root cause analyses and how you’ve tackled performance bottlenecks in the past.
✨Demonstrate Collaboration and Communication
This role emphasises teamwork across various divisions. Think of examples that highlight your collaborative efforts, especially in tech-driven environments. Show them you can communicate effectively with both technical and non-technical teams.