At a Glance
- Tasks: Lead the architecture and delivery of a cutting-edge GPU infrastructure platform.
- Company: Join Tether, a leader in digital finance and blockchain technology.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Other info: Work with a global team and enjoy a dynamic, fast-paced environment.
- Why this job: Be at the forefront of fintech innovation and make a real impact.
- Qualifications: 8+ years in engineering with leadership experience in infrastructure platforms.
The predicted salary is between 40500 - 49500 £ per year.
Join Tether and shape the future of digital finance. At Tether, we're pioneering a global financial revolution with cutting-edge solutions that empower businesses to seamlessly integrate reserve-backed tokens across blockchains.
About the job:
Cosmic AC is Tether Data's GPU compute and managed inference platform: GPU containers, managed inference endpoints and platform observability, delivered as a self-hosted package on Kubernetes, with a control plane written in JavaScript. The Technical Lead owns the architecture and delivery of that stack and leads the engineering team building it: about twelve engineers across backend, frontend, DevOps, QA and documentation, distributed across Europe and India.
This is a hands-on infrastructure leadership role with a fixed delivery window in its first six months. It is not a research role, not a pure Kubernetes SRE role, and not a management-only role.
Responsibilities:
- Architecture: Own the platform architecture end to end: architecture proposals, high-level and low-level designs, driven through review and kept current as the baseline.
- Team leadership: Lead and line-manage a distributed team across backend (Node.js), frontend (React), DevOps, QA and documentation.
- Bare-metal GPU scheduling layer: Design, build and operate a managed Slurm service for research users.
- Kubernetes control plane and GPU enablement: Own cluster bootstrap and lifecycle on partner-provided bare metal.
- Managed inference at scale: Serving architecture, multi-GPU and multi-node parallelism, autoscaling, request routing and endpoint reliability.
- Observability and operations: Metrics, logging, alerting and SLOs across control plane, GPU fleet and application tiers.
- Partners and vendors: Primary technical interface to infrastructure partners and vendors.
- Internal consumers: Work directly with research, model-training and product teams.
- Hiring: Complete the platform team and set the technical bar for the engineers who join it.
Must have:
- Eight or more years of hands-on engineering experience, including at least three leading teams that build and operate infrastructure platforms.
- Experience with Slurm at scale.
- GPU fleet operation on bare metal.
- High-performance interconnects knowledge.
- Linux systems depth.
- Production Kubernetes operation.
- HPC storage and data movement experience.
- Working fluency in JavaScript and Node.js.
- A shipped platform with real users.
- Leadership that stays in the code.
- Excellent written and spoken English.
Location: Fully remote, based between UTC and UTC+5:30.
Desirable:
- Slurm operators on Kubernetes or Kubernetes-native schedulers.
- Modern serving stacks knowledge.
- VM and container isolation for multi-tenant GPU compute.
- Cluster API and kubeadm experience.
- Time on the operator side of a GPU cloud or AI lab's platform team.
- Peer-to-peer or distributed-systems background.
- Experience with a hardware provider.
Technical Lead - GPU Infrastructure employer: Tether
Tether is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for an Edge AI Inference Engineer. With a strong emphasis on employee growth, Tether offers numerous opportunities for professional development and encourages team members to push the boundaries of AI technology in a supportive environment. Located in a vibrant tech hub, employees benefit from a dynamic work atmosphere and access to cutting-edge resources, ensuring that your contributions have a meaningful impact on real-world applications.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Lead - GPU Infrastructure
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tether or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tether.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tether.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Tether that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Technical Lead - GPU Infrastructure
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tether.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tether and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Tether
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tether uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
