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NexGen Cloud

Senior Software Engineer

Reposted 15 Days Ago
Easy Apply
In-Office
London, Greater London, England, GBR
Senior level
Easy Apply
In-Office
London, Greater London, England, GBR
Senior level
Own and design backend systems, APIs, and user-facing features for an AI platform. Build, ship, and operate scalable model training, evaluation, and deployment workflows; improve reliability, performance, observability, and documentation; mentor engineers and drive architectural and quality improvements.
The summary above was generated by AI
Senior Software Engineer – AI Studio

Location: Remote
Reports to: Engineering Manager

About NexGen Cloud & Hyperstack

We are a fast-growing company building next-generation GPU cloud infrastructure.

NexGen Cloud is the company behind Hyperstack, a cloud platform providing on-demand and private cloud infrastructure for high-performance workloads. Hyperstack is used by teams running compute-heavy applications that require speed, reliability, and control.

Our platform enables organisations to train, fine-tune and deploy AI models using scalable GPU infrastructure.

We’re a scale-up by design — moving quickly, solving complex technical challenges and building technology with real-world impact. At the core of NexGen Cloud is a team of curious, driven people who care deeply about quality, ownership and collaboration.

Position Summary

We are seeking a Senior Software Engineer to join the team building AI Studio, Hyperstack’s rapidly growing platform for developing and deploying generative AI workloads.

AI Studio enables customers to fine-tune models, evaluate performance and deploy production inference without needing to manage underlying infrastructure.

In this role you will design and build the core systems powering the platform, including backend services, APIs and user-facing features that orchestrate model training, evaluation and deployment at scale.

You will take ownership of complex product areas, contribute to architectural decisions and help ensure the platform remains scalable, reliable and performant as adoption continues to grow.

Key Responsibilities

System Ownership & Architecture
Design, build and evolve core backend services and platform components, making architectural decisions that support scalability, reliability and long-term maintainability.

End-to-End Feature Development
Develop and maintain both backend services and user-facing interfaces that support AI workflows including model training, evaluation and deployment.

Code Quality & Engineering Standards
Write clean, maintainable and well-tested code while contributing to code reviews and helping raise engineering standards across the team.

Technical Collaboration
Work closely with Product, Design and Engineering teams to translate complex requirements into production-ready systems and features.

Platform Reliability & Performance
Improve system observability, diagnose production issues and optimise performance to ensure the platform operates reliably at scale.

Documentation & Knowledge Sharing
Produce and maintain clear technical documentation for systems, APIs and platform features.

Technical Leadership
Support and mentor other engineers through collaboration, design discussions and code reviews.

Continuous Improvement
Identify opportunities to improve architecture, tooling and development processes that enhance platform quality and developer productivity.

Required Skills

Engineering Experience

  • Strong experience designing and operating production backend systems and APIs
  • Strong proficiency in Python and backend frameworks such as Flask
  • Experience building full-stack applications using modern frameworks such as Next.js
  • Experience designing scalable distributed systems and platform architectures
  • Solid understanding of API design, service boundaries, and data systems (SQL and NoSQL)
  • Experience with Git, CI/CD pipelines, Docker and Kubernetes
  • Proven experience managing production systems including monitoring, debugging and incident response

Soft Skills

  • Strong system design and architectural thinking
  • Ability to translate complex technical requirements into practical solutions
  • Strong ownership mindset with accountability for production systems
  • Collaborative approach to working with cross-functional teams

Nice to Have

  • Experience working with LLMs, generative AI platforms or model orchestration systems
  • Exposure to model training, fine-tuning, inference or evaluation pipelines
  • Experience with GPU-intensive workloads or distributed computing systems
  • Experience building developer platforms, experimentation tooling or internal developer tools
  • Contributions to open-source projects or AI / ML tooling
What We Offer
  • Competitive salary with annual discretionary bonus
  • 25 days holiday plus public holidays
  • Flexible working arrangements (remote or hybrid)
  • Employee wellbeing benefits
  • Opportunity to work on cutting-edge AI and GPU cloud infrastructure
  • Clear career progression in a rapidly scaling technology company
  • Collaborative international culture built on trust, ownership and transparency
Join Our Team

We encourage applications from candidates of all backgrounds and experiences. Our commitment to diversity and inclusion reflects our belief that diverse teams drive innovation and better technology.

Join NexGen Cloud and help build the infrastructure powering the next generation of AI platforms.

Top Skills

Ci/Cd
Docker
Flask
Git
Kubernetes
Next.Js
NoSQL
Python
SQL
HQ

NexGen Cloud London, England Office

24 Greville St, London, United Kingdom, EC1N 8SS

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