Automotive Engineer jobs in Singapore

Backed by world-class technology visionaries like Sequoia Capital, Magentic brings together expertise from OpenAI, Meta, McKinsey and NASA to build the next generation of procurement and supply chain technology.

We are looking for a brilliant Platform Engineer to join our team at Magentic. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire procurement workflows. We’re addressing the three trillion dollar market of supply chain.

Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety.

We're hiring a Platform Engineer to build, scale and own the infrastructure that powers Magentic's AI procurement solution. You’ll have a huge impact on both Magentic’s commercial success and our architectural direction. This is a rare opportunity to help build a rocket ship, rather than rebuild it in flight: we’re investing in our platform expertise earlier than startups typically do, making sure that our foundations are high quality to support rapid growth.

• Design, build and own the cloud-native backbone that powers our AI agent workers at scale.

• Shape a multi-tenant, multi-cloud platform (we deploy were our customers are) following IaC and GitOps best practices, while balancing speed, cost and security.

• Work with the development team to design processes for secure software delivery (GitHub workflows, AI agent tooling for reviews, security and compliance)

• Make our systems, both AI and non-AI, highly observable

• Champion security, compliance and automation to turn them into an advantage, instead of friction

• Have deep cloud mastery of Azure and/or AWS

• Strong experience with containers and orchestration

• Are an enthusiastic student/hobbyist of AI able to leverage agent-assisted development

• Have managed production clusters at scale with IaC in security-certified companies

• Have experience working with development teams to make their lives easier

• Can take a loosely defined problem, sketch an architecture, and deliver a production‑ready solution in days or weeks, not months

• Have the experience to know what is needed now and what can come later

• Can communicate clearly with both engineers and business stakeholders

• Experience designing self-hosted, cloud agnostic, AI/ML infrastructure

• Infrastructure/platform experience in B2B settings, e.g.: Identity Federation

At Magentic, we recognise and reward the talent that drives our success. We offer:

• Competitive Equity: play a real part in Magentic’s upside

• A salary of £105,000‑£115,000

• Hybrid London HQ (3‑4 days in the office)

• Annual team retreat—a fully‑funded off‑site to recharge, bond, and build

There are a quite a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet.

1. Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about your how your experience aligns with the role.

2. Design interview with the CTO or Founding Engineer (45‑60 mins): in this step, we present you with real problems Magentic encounters, and we ask you to design a solution in a whiteboarding exercise.

3. Culture interview with the Chief of Staff (45 mins): here we'll talk about how you like to work, how you'd like to develop your career, and how that could look at Magentic.

4. In‑person interview (half‑day, paid): for the final step, we invite you to come meet the team in‑person and work alongside us! We find this is the best way for candidates to get a sense of what working at Magentic is like.

5. CEO interview (30 mins): a chance for you to meet Robin, hear about his vision for the company

At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.

Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010.

We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs.

Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.