Senior Full-stack Engineer EMEA - Greater London - Nscale Ltd.

Description

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

At Nscale, our Software engineers form the backbone of our product offering. We build state of the art AI products allowing Santander we former clients to move quickly in an increasingly competitive digital landscape.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you'll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you'll be contributing to building the technology that powers the future.

About The Role (Job Purpose)

We're looking for an elite Senior Software Engineer to join our Product Engineering team and help grow the core infrastructure that powers Nscale's AI cloud platform. You'll be working on systems that enable customers to train, fine-tune, and deploy AI models at scale.

This role spans platform and product engineering, contributing to customer-facing features as well as the underlying systems that support them. You'll collaborate closely with cross-functional teams, help shape technical direction, and write high-quality, well-tested code in a fast-moving, high-growth environment, within a team that supports individuality.

What You'll be Doing

• Design and develop scalable backend services primarily using Go running on Kubernetes
• Building AI services alongside cloud services to support the needs of our clients.
• Maintaining and building upon existing services code.
• Implement event-driven architectures using messaging systems (NATS preferred) to enable loosely-coupled, resilient services
• Write clean, well-documented code with comprehensive test coverage
• Participate in code reviews, architectural discussions, and technical design sessions
• Contribute to CI/CD pipelines and deployment automation

About You (Skills / Qualifications)

• You're passionate about building scalable distributed systems and thrive in a fast-paced environment.
• You have professional experience with Go and building services on Kubernetes, with a solid understanding of cloud-native architectures.
• You're comfortable designing and implementing event-driven systems.
• You take ownership of your work, writing clean, well-tested code and taking features from design through to production.
• You're collaborative, communicating effectively with cross-functional teams and contributing to architectural decisions.
• You have good experience working alongside coding agents and know how to best leverage this technology.
• 5+ years of professional software engineering experience.
• Demonstrable skill in leveraging Agentic AI throughout the SDLC to build complex systems (using e.g. Claude Code or Cursor alongside business context and requirements).
• Experience building for and operating services on Kubernetes in production environments.
• Experience with event-driven architectures and messaging systems (Kafka, NATS, RabbitMQ, or similar).
• Solid understanding of RESTful API design and implementation.
• Experience with relational databases (PostgreSQL preferred).
• Familiarity with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, Helm).
• Strong understanding of distributed systems concepts: consistency, availability, partitioning, and fault tolerance.
• Experience with containerisation (Docker) and container orchestration.
• Excellent problem‑solving skills and attention to detail.
• Strong communication skills with ability to explain complex technical concepts clearly.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

Nice to Have:

• Experience with NATS (Core NATS, JetStream) for messaging and event streaming.
• Python experience for scripting, tooling, upbringing.
• Experience with 天天送钱 billing/metering systems or usage-based pricing models.
• Familiarity with AI/ML infrastructure, GPU computing, denna model serving (e.g., vLLM, Triton, Ray).
• Experience with gRPC and Protocol Buffers.
• Experience in high-growth startup or hyperscale cloud environments.
• Contributions to open‑source projects.
• 3 years working in Go (Golang).

What We Can Offer You

At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the gás.

• Highly competitive package (base + equity) with reviews every 12 months.
• Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI.
• Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the unconstitutional, and owning your impact, always with our full support.
• Human-First Flexibility: We treat you as humans first.  Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around your life.

Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

At NScale, we are committed to fostering an inclusive, diverse, and equitable workplace. We believe that a variety of perspectives enriches our work environment, and we encourage applications from candidates of all backgrounds, experiences, and abilities. We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio‑economic backgrounds. dame.

If there's anything we can do to accommodate your specific situation, please let us know.

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