Software Engineer (Python)

Trust In SODA; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Trust In SODA partners with an innovative tech business at the intersection of software engineering, AI and computational modelling to accelerate engineering analysis. They are seeking a Senior Python Engineer to design, build, and scale platform capabilities powering high-performance simulation workflows.

The role is hands-on and requires deep technical problem-solving, offering opportunities to lead backend architecture, cloud-native delivery, and data-intensive pipelines across

Qualifications

• 4+ years of commercial software engineering experience with Python
• Cloud-native backend development and containerisation experience
• Experience with large-scale data processing and architectural decisions
• Excellent communication across multidisciplinary teams

Responsibilities

• Design and scale cloud-native backend systems for high performance
• Drive cloud-native best practices including resiliency, observability, security, and deployment
• Develop robust APIs to integrate external tools and data sources
• Lead code reviews, contribute to architecture discussions, mentor junior engineers
• Work with engineering software, simulation tools, and numerically focused workloads

Skills

Python

Cloud experience

Design & architecture

Communication & collaboration

AI-powered engineering tools

Tools

PyTorch

NumPy

Matplotlib

Plotly

Job description

We are partnering with an innovative technology business operating at the intersection of software engineering, artificial intelligence, and advanced computational modelling. Our client is building next-generation platform solutions that drastically accelerate engineering analysis and design processes across a range of industrial sectors.

They are looking for a Senior Python Engineer who is a problem-solver at heart and excited by deep technical challenges. In this hands-on role, you will help design, build, and scale platform capabilities that power high-performance simulation workflows, data-intensive pipelines, and AI-driven applications.

What You Bring

• Python Expertise: 4+ years of commercial software engineering experience with strong proficiency in Python and modern development practices.
• Cloud Experience: Solid background building full-stack or backend applications using cloud platforms and containerisation technologies.
• Design & Architecture: Proven ability to work with large-scale data processing systems and contribute to architectural decision-making.
• Communication & Collaboration: Excellent communication skills with experience partnering across multidisciplinary teams of software engineers, data specialists, and domain experts.
• AI-powered engineering tools

Nice to have:

• Scientific Computing: Familiarity with scientific libraries like Pytorch, NumPy, or visualisation tools like Matplotlib, plotly,..
• CFD

Key Responsibilities

• Platform Architecture & Backend: Design and scale cloud-native backend systems, ensuring high reliability, performance, and long-term extensibility.
• Cloud & Infrastructure: Drive cloud-native best practices across resiliency, observability, security, containerisation, and deployment strategies.
• Integrations & APIs: Develop robust APIs to integrate external modeling tools, third-party applications, and complex data sources.
• Technical Leadership & Quality: Set high engineering standards, conduct code reviews, participate in architecture discussions, and mentor junior engineers.
• Exposure to scientific computing, numerical methods, machine learning tooling, or computational workloads.
• Familiarity with engineering software, simulation tools, or 3D/CAD environments

If this sounds like the right challenge, let's talk