Senior Software Engineer ( Python ) (Permanent) in London

Senior Software Engineer ( Python ) (Permanent) in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and optimise core software systems using Python, C++, and Rust.
  • Company: Cutting-edge deep-tech company at the forefront of advanced computing.
  • Benefits: Innovative projects, hybrid work, and strong focus on career development.
  • Other info: Collaborate with multidisciplinary teams and influence production system architecture.
  • Why this job: Make a real impact on next-gen technologies and solve complex engineering challenges.
  • Qualifications: Strong Python skills and experience in low-latency systems or hardware integration.

The predicted salary is between 60000 - 80000 £ per year.

A cutting-edge deep-tech company developing advanced computing systems is seeking a Software Engineer to help build and optimise the core software platform that interfaces with highly specialised hardware. This is an opportunity to work on complex, performance-critical systems at the intersection of software, hardware, and scientific research. The successful candidate will contribute to the development of low-latency control and orchestration software used in production environments, collaborating closely with engineering, hardware, and research teams.

Key Responsibilities

  • Design, develop, and optimise core systems software using Python, C++, and/or Rust.
  • Own critical platform components and drive improvements in performance, reliability, scalability, and operability.
  • Develop low-latency interfaces between specialised hardware platforms and classical compute infrastructure.
  • Collaborate with hardware and research teams to integrate new technologies from prototype through to production deployment.
  • Build and improve CI/CD pipelines, deployment tooling, monitoring, and observability capabilities.
  • Profile and optimise system performance, identifying bottlenecks and implementing measurable improvements.
  • Contribute to software architecture decisions, technical design reviews, and engineering best practices.
  • Improve code quality through testing, code reviews, and maintainable software design.
  • Work cross-functionally to translate product and customer requirements into robust software solutions.

Requirements

  • Strong software engineering fundamentals with experience delivering production systems.
  • Excellent Python skills, with experience in C++ and/or Rust being highly desirable.
  • Experience in one or more of the following areas:
    • Low-latency systems
    • Linux systems programming
    • High-performance networking
    • Embedded software
    • GPU programming
    • Hardware/software integration
  • Familiarity with modern software development practices including Git, testing, code reviews, and CI/CD.
  • Experience debugging, profiling, and optimising complex software systems.
  • Degree in Computer Science, Physics, Engineering, Mathematics, or a related quantitative discipline (or equivalent experience).
  • Experience working within commercial technology organisations, scientific computing environments, or deep-tech companies.

Desirable Experience

  • Integration of hardware-adjacent systems within on-premise or data-centre environments.
  • Knowledge of data acquisition, digital signal processing, timing synchronisation, telecommunications, or RF systems.
  • Experience with observability and monitoring platforms.
  • Exposure to scientific instrumentation, advanced computing platforms, or quantum technologies.

Benefits & Opportunity

  • Work on highly innovative next-generation computing technologies.
  • Collaborate with multidisciplinary teams spanning software, hardware, and scientific research.
  • Influence the architecture and direction of complex production systems.
  • Opportunity to solve challenging engineering problems involving performance, scalability, and hardware integration.
  • Hybrid working environment with a strong focus on technical ownership, collaboration, and career development.

Senior Software Engineer ( Python ) (Permanent) in London employer: DeepRec.ai

Join a pioneering deep-tech company that stands at the forefront of advanced computing systems, where you will have the opportunity to work on innovative technologies and complex engineering challenges. Our collaborative work culture fosters technical ownership and encourages professional growth, allowing you to influence the architecture of production systems while working alongside multidisciplinary teams. With a hybrid working environment and a commitment to career development, we offer a rewarding experience for those looking to make a meaningful impact in the tech industry.

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Contact Details:

DeepRec.ai Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Software Engineer ( Python ) (Permanent) in London

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 Python, C++, or Rust. This gives you a chance to demonstrate your expertise and passion for software engineering beyond just your CV.

Tip Number 3

Prepare for technical interviews by brushing up on your coding skills and system design knowledge. Practice common algorithms and data structures, and be ready to discuss your past projects and how you tackled challenges.

Tip Number 4

Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your experience with low-latency systems and hardware integration to stand out.

We think you need these skills to ace Senior Software Engineer ( Python ) (Permanent) in London

Python
C++
Rust
Low-latency systems
Linux systems programming
High-performance networking
Embedded software

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python expertise and any experience with C++ or Rust, as these are key for us at StudySmarter.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about working with cutting-edge technology. Share specific examples of how you've tackled complex software challenges in the past.

Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing how you've applied your skills in real-world scenarios, especially in low-latency systems or hardware integration.

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 our team!

How to prepare for a job interview at DeepRec.ai

Know Your Tech Stack

Make sure you’re well-versed in Python, C++, and Rust. Brush up on your knowledge of low-latency systems and Linux programming. Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience.

Showcase Your Problem-Solving Skills

Prepare to talk about complex engineering problems you've tackled in the past. Think about how you identified bottlenecks and optimised performance in your previous roles. This is your chance to demonstrate your analytical thinking and technical prowess.

Collaborate Like a Pro

Since the role involves working closely with hardware and research teams, be prepared to discuss your experience in cross-functional collaboration. Share examples of how you’ve successfully integrated new technologies or worked on multidisciplinary projects.

Emphasise Continuous Improvement

Highlight your commitment to improving code quality and software architecture. Talk about your experience with CI/CD pipelines, testing, and code reviews. This shows that you value maintainability and are proactive about enhancing software practices.