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- Tasks: Join a dynamic team to enhance software reliability and performance.
- Company: Leading global investment management firm focused on tech innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: 5 years of Python experience and familiarity with automation tools.
- Other info: Collaborative culture with a focus on innovation and career development.
The predicted salary is between 36000 - 60000 £ per year.
Join a leading global investment management firm at the forefront of technology innovation. We’re 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’ll 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’re a skilled software engineer with a passion for reliability, we’d love to hear from you.
Locations
Python Developer in Barbican, London employer: Ncounter Limited
Contact Detail:
Ncounter Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer in Barbican, 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to automation and system reliability. This gives potential employers a taste of what you can do.
✨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 experiences with reliability and performance optimisation.
✨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 Python Developer in Barbican, 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 shine! Use it to explain why you’re passionate about reliability and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any projects that demonstrate your skills in Python, automation tools, or system performance, make sure to mention them. We’re keen to see real-world applications of your expertise, so include links or descriptions of your work!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team!
How to prepare for a job interview at Ncounter Limited
✨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 real-world problems. They’ll likely ask you about specific libraries or frameworks, so be prepared to dive deep into your technical knowledge.
✨Familiarise Yourself with Version Control
Since they value experience with version control systems like Git, ensure you can explain how you've used it in your previous roles. Be ready to discuss branching strategies, pull requests, and how you’ve collaborated with others using these tools.
✨Showcase Your Automation Skills
Highlight any experience you have with building automation tools and managing system configurations. Prepare examples of how your automation solutions have improved efficiency or reliability in past projects, as this will resonate well with their focus on streamlining operations.
✨Demonstrate Your Problem-Solving Abilities
Be ready to talk about specific incidents where you conducted root cause analyses to resolve issues. They’ll want to see how you approach problem-solving, especially in high-pressure situations, so think of examples that showcase your analytical skills and ability to enhance system performance.
