Nscale on cord

Nscale

Staff Cloud Native Software Engineer

External position
Hiring internally for Nscale?
Cloud and Infrastructure · Machine Learning and AI
Nscale is the Hyperscaler engineered for AI.
Posted
2 weeks ago
Checked
cord regularly checks that external positions are still open
8 hours ago

Skills & Experience

Job roles: Cloud Engineer
Experience level: Senior, Lead
Core skills considered: Kubernetes, Cloud Computing, APIs
Other skills considered: Scrum, Agile, Technical Direction

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

We're hiring a Staff Cloud Native Software Engineer to build, operate, and improve the cloud-native software integrations that connect AI applications and networking components at scale.

In this software engineering role, you'll work on shared Kubernetes-based platforms, deployment patterns, observability foundations, infrastructure architecture, and operational tooling that help internal teams run services safely and efficiently on GPU-backed infrastructure. You'll partner closely with platform engineering, infrastructure, and product teams to ensure capabilities meet real developer and operational needs.

This role is important to the reliability, scalability, and usability of Nscale's software integrations. As a Staff engineer, you'll take ownership of significant components and set technical direction across teams, deliver complex technical work independently, and raise the quality of operations and engineering through practical improvements, sound technical judgement, and mentoring.


What You'll Do

Cloud Native Software Engineering

  • Design, build, and operate Kubernetes-native software - controllers, operators, custom resources (CRDs), and admission webhooks - that connects AI applications with core networking components on GPU-backed infrastructure.
  • Extend Kubernetes control-plane capabilities to support AI workload requirements, including network policy controllers, CNI/service-mesh integrations, and resource/scheduling extensions.
  • Own significant components end-to-end and set the technical direction for how they're designed, deployed, and operated across the team.
  • Build reconciliation loops, informers, and client-go-based tooling that keep infrastructure state consistent between the API server, networking systems, and AI runtime components.
  • Develop operational tooling and automation that make Kubernetes-native services easier for internal teams to deploy, run, and support.

Infrastructure Architecture, Reliability & Observability

  • Drive infrastructure architecture decisions around how AI applications and networking components integrate across the platform, weighing trade-offs at a cross-team level.
  • Build observability foundations for controller and operator software - metrics, structured events, tracing, and status reporting surfaced through the Kubernetes API and platform dashboards.
  • Design systems that degrade gracefully and self-heal, using controller patterns (reconciliation, backoff, status conditions) to reduce manual intervention.
  • Debug and resolve complex issues spanning the Kubernetes control plane, networking (CNI, service mesh, kube-proxy/eBPF datapaths), and workload runtime behavior on GPU-backed infrastructure.
  • Define standards for safe rollout of controller and platform changes, including versioning, compatibility, and staged deployment.

Team Technical Leadership

  • Set technical direction for how the team builds Kubernetes-native software, establishing patterns for controller design, CRD schema evolution, and testing strategy.
  • Lead design discussions and code reviews, holding a high bar for Kubernetes API conventions and idiomatic client-go usage.
  • Partner with platform engineering, infrastructure, and product teams to translate real developer and operational needs into clean CRDs, APIs, and controller-managed abstractions.
  • Define reusable patterns, shared libraries, and scaffolding that let other teams build correctly on the platform without reinventing integration logic.
  • Mentor engineers in Kubernetes internals, controller-runtime patterns, and sound operational judgement.

KPIs

  • Reliability, scalability, and usability of AI infrastructure-networking software integrations
  • Correctness and maintainability of Kubernetes controllers and operators in production
  • Reduction in manual operational effort and config drift across supported components
  • Adoption of shared patterns/frameworks and effectiveness of observability tooling across teams

Who You are

  • At least 8 years of experience in production-level software development.
  • Deep hands-on experience building and operating Kubernetes-native software: custom controllers, operators, CRDs, or admission webhooks - using controller-runtime, client-go, or equivalent.
  • Strong understanding of Kubernetes internals: the API server, informer/lister patterns, reconciliation loops, and the object model.
  • Strong networking fundamentals - CNI, service mesh, kube-proxy/eBPF datapaths, DNS, load balancing - and experience building software that integrates with these systems.
  • Proficiency in Go (strongly preferred) or a similar language, with a track record of shipping well-tested, production-quality code at scale.
  • Experience with observability practices - metrics, tracing, structured logging - built into software rather than added afterward.
  • Comfortable owning components independently end-to-end, from design through operation, while setting direction for adjacent teams.
  • Experience with or strong interest in GPU-backed infrastructure and AI workload patterns is a plus.
  • Track record of leading technical design at a staff level and mentoring engineers through practical technical guidance.
Staff Cloud Native Software Engineer at Nscale
Position posted 2 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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