Member of Technical Staff, Cloud Infrastructure, Singapore

Fireworks AI is hiring a Member of Technical Staff, Cloud Infrastructure, Singapore (Singapore). It pays SGD 180k-SGD 250k a year and Level rates it ; you can apply on Fireworks AI.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions Vertex AI, PyTorch and SageMaker among its tools and skills.
Level classes it as a mid-level role.
Fireworks AI has 90 other open roles on Level.

AI in this role

Design and develop core backend systems and optimize infrastructure for high-performance generative AI workloads and model serving.

vertex-aipytorchsagemaker

backendml-infrascalabilitydistributed-systems

About Us:

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.

About Us:

Here at Fireworks, we’re building the future of generative AI infrastructure. Fireworks offers the generative AI platform with the highest-quality models and the fastest, most scalable inference. We’ve been independently benchmarked to have the fastest LLM inference and have been getting great traction with innovative research projects, like our own function calling and multi-modal models. Fireworks is funded by top investors, like Benchmark and Sequoia, and we’re an ambitious, fun team composed primarily of veterans from Pytorch and Google Vertex AI.

The Role:

As a Backend Software Engineer, you’ll be responsible for designing and developing the core backend systems that power Fireworks AI’s high-performance generative AI platform. Your work will focus on ensuring efficiency, scalability, and stability in handling AI workloads.

Key Responsibilities:

Design and build core backend software components, ensuring efficiency, scalability, and stability of system resources
Conduct design/code reviews and collaborate with cross-functional teams
Continuously analyze and optimize infrastructure efficiency for AI workloads (compute, storage, networking)

Minimum qualifications:

Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years experience working in ML infra (PyTorch, Vertex AI, Sagemaker, etc.)
Experience building, scaling, and optimizing enterprise-grade Machine Learning systems

Preferred qualifications:

Experience in AI or large scale infrastructure
Master’s or PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Why Fireworks AI?

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

Why Fireworks?

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

How we rate this

Member of Technical Staff, Cloud Infrastructure, Singapore at Fireworks AI rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Member of Technical Staff, Cloud Infrastructure, Singapore is an open job at Fireworks AI.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is SGD 180k-SGD 250k a year.
The role is based in Singapore.
The job was posted on June 24, 2026.
Seniority: mid.
Applications are handled by Fireworks AI. Apply on Fireworks AI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

BackendML InfraScalabilityDistributed SystemsVertex AIPyTorchSageMaker

Questions you could be asked

Tell me about a project where backend was part of your work. What did you do?
Tell me about a project where ml infra was part of your work. What did you do?
Tell me about a project where scalability was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Walk me through how you've used Vertex AI in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Backend, ML Infra, Scalability, Distributed Systems, and Vertex AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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