At a Glance
- Tasks: Join our Software Infrastructure team to scale and manage cutting-edge infrastructure.
- Company: Dynamic tech company focused on AI and machine learning innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on long-term engineering solutions and service ownership.
- Why this job: Make a real impact by developing tools that empower AI research and engineering teams.
- Qualifications: Knowledge of Python, cloud services, and CI/CD principles; experience with Kubernetes is a plus.
The predicted salary is between 50000 - 70000 € per year.
Requirements
- Knowledge of Python
- Familiarity with cloud services (e.g. AWS)
- Experience managing or developing in Linux environments
- Understanding of CI/CD principles
- Experience using Kubernetes (k8s) (Desirable)
- Experience maintaining machine learning applications (Desirable)
- Experience deploying ML orchestration tools (e.g. NV Ray, KFP, SkyPilot) (Desirable)
- Experience managing ML accelerator hardware (e.g. DCGM) (Desirable)
- Experience with Infrastructure as Code (IaC) tools (e.g. Terraform/OpenTofu) (Desirable)
- Experience with GitHub Actions (Desirable)
- Experience with modern observability tooling (e.g. Prometheus) (Desirable)
- Experience with Grafana (Desirable)
- Knowledge of Go/Java/C++ (or similar language)
What the job involves
- Join our dynamic Software Infrastructure team and take a pivotal role in scaling and managing our infrastructure
- You will develop essential tools and services that empower our broader software team
- Your contributions will enhance the build, test, deployment, and productisation processes of our Machine Learning Software components
- Work with our High-Performance Computing (HPC) AI platforms and gain invaluable experience in distributed systems
- The Software Infrastructure team provides critical platforms and services for software development teams across the business
- Our responsibilities include managing the CI platform and services, build engineering, component integration, and packaging and release systems
- We operate in squads, fostering a culture of service ownership and empowerment for our engineers
- We focus on long‑term engineering solutions and strive to eliminate toil wherever possible
- Develop, own, and maintain tools and services to support AI research and engineering teams
- Deploy and maintain services with Kubernetes and Docker
- Manage our Cloud Infrastructure using tools such as Terraform
Infrastructure & MLOps Engineer employer: Deepstreamtech
Join a forward-thinking company that prioritises innovation and employee empowerment, particularly in the vibrant tech hub of our location. We offer a collaborative work culture where your contributions directly impact the development of cutting-edge AI solutions, alongside ample opportunities for professional growth and skill enhancement. With a focus on long-term engineering excellence and a commitment to eliminating toil, we ensure that our team members thrive in their roles while enjoying the benefits of working with advanced technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Infrastructure & MLOps Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, cloud services, or Kubernetes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on CI/CD principles and your experience with ML applications. Practice common technical questions and be ready to discuss how you've used tools like Terraform or GitHub Actions in your past work.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team!
We think you need these skills to ace Infrastructure & MLOps Engineer
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your knowledge of Python and any experience with cloud services like AWS. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for the Infrastructure & MLOps Engineer role. Mention specific experiences that relate to CI/CD principles, Kubernetes, and any machine learning applications you've worked on.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make sure your experience and qualifications are easy to read and understand.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack
Make sure you brush up on your Python skills and get familiar with the cloud services mentioned, especially AWS. Be ready to discuss your experience with Linux environments and CI/CD principles, as these are crucial for the role.
✨Showcase Your Kubernetes Knowledge
If you've worked with Kubernetes, be prepared to share specific examples of how you've used it in past projects. Even if it's not a requirement, demonstrating your understanding of k8s can set you apart from other candidates.
✨Talk About Your ML Experience
If you've maintained machine learning applications or deployed orchestration tools like NV Ray or KFP, make sure to highlight these experiences. Discussing your familiarity with ML accelerator hardware will also show that you’re well-versed in the field.
✨Demonstrate Problem-Solving Skills
Be ready to discuss how you've tackled challenges in previous roles, particularly around infrastructure management and automation. Sharing specific instances where you've eliminated toil or improved processes will resonate well with the interviewers.
