Python Developer

Trust In SODA; Greater London; Presencial; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Trust in SODA in London seeks aSenior Python Engineer to design, build and scale platform capabilities powering high-performance simulation workflows and AI-driven applications. You will tackle deep technical challenges, shaping architecture and delivering robust backend systems in a cloud-native stack.

The role emphasizes collaboration with data scientists, domain experts and software engineers, delivering scalable pipelines and production-grade tooling in a fast-paced, innovative environment.

Qualificações

• 4+ years of commercial software engineering experience with Python
• Experience building cloud-native backend or full-stack apps
• Ability to contribute to large-scale data processing systems and architecture decisions
• Excellent communication and collaboration across multidisciplinary teams

Responsabilidades

• Design and scale cloud-native backend systems for reliability and extensibility
• Champion cloud infrastructure best practices including observability and security
• Develop robust APIs to integrate external modelling tools and data sources
• Set engineering standards, lead code reviews and mentor junior engineers
• Engage with scientific computing, numerical methods and ML tooling as needed
• Familiarity with engineering software, simulation tools or 3D/CAD environments

Conhecimentos

Python

Cloud

Architecture

Communication

AI tooling

Ferramentas

NumPy

PyTorch

Matplotlib

Descrição da oferta de emprego

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 modelling tools, third-person 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