Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable cloud infrastructure for machine learning platforms and empower businesses with data insights.
- Company: Join Sage Ai, a dynamic team within Sage Intacct revolutionising cloud accounting with AI.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for continuous learning.
- Why this job: Be at the forefront of AI technology and make a real impact on business success.
- Qualifications: Experience in cloud infrastructure, software engineering, and a passion for machine learning.
- Other info: Collaborate with a high-performing team that values innovation and shared responsibility.
The predicted salary is between 48000 - 72000 £ per year.
Today, nearly every business in the world has to do bookkeeping and accounting in order to file taxes, understand financial health, and most importantly, make strategic business decisions. The process is universally manual, tedious, and error prone. At the same time, the process follows well-defined rules, abides by industry standardization, and has become increasingly data-rich. It’s a product-focused machine learning team’s dream.
Sage Ai is a nimble team within Sage Intacct building the future of cloud accounting by leveraging artificial intelligence. The Sage Ai team builds capabilities to help businesses make better decisions through data-powered insights.
We are currently hiring a Senior Cloud Infrastructure Engineer to help us build a Machine Learning platform that will provide insights to empower businesses and help them succeed. As a part of our cross-functional team including data scientists and engineers you will help steer the direction of the entire company’s Data Science and Machine Learning effort.
If you share our excitement for machine learning, value a culture of continuous improvement and learning and are excited about working with cutting edge technologies - apply!
This is a hybrid position - working 3 days a week from our Winnersh office.
You may be fit for this role if you:
- Are experienced in building scalable infrastructure using cloud native technologies.
- Are a software craftsman who believes in shipping quality software daily.
- Value pragmatism and simplicity and find pleasure in effectively leveraging technology.
- Enjoy working in high performing teams, which value learning, shared responsibility and moving fast.
You might work on:
- Production cloud infrastructure for hosting and monitoring machine learning services and APIs.
- Infrastructure to allow data scientists and data engineers quick experimentation and training of ML models.
- Frictionless scalable deployment pipeline from experiments to production.
- Building tools to help engineering teams deliver high quality software and iterate quickly.
Required Skills/Experience:
- Knowledge of, and experience automating cloud infrastructure (AWS, Azure or GCP).
- Ability to solve problems that span multiple interconnected systems.
- Software Engineering background (Python, Go).
- Ability to design, reason about, explain and implement end-to-end distributed solutions.
- Experience with Linux, Kubernetes, Docker, Terraform.
- AI/ML tooling (Nice to have).
- Great communication and collaboration skills.
Senior Cloud Infrastructure Engineer in Winnersh employer: WomenTech Network
Contact Detail:
WomenTech Network Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Cloud Infrastructure Engineer in Winnersh
✨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 or GitHub repository showcasing your projects, especially those related to cloud infrastructure and machine learning. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and scenarios related to cloud technologies and teamwork. We want to see how you think and solve problems!
✨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, it shows you’re genuinely interested in joining our awesome team at Sage Ai.
We think you need these skills to ace Senior Cloud Infrastructure Engineer in Winnersh
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let us know why you're excited about machine learning! Share any relevant projects or experiences that highlight your enthusiasm and how you see it fitting into the role.
Tailor Your CV to the Job: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your experience with cloud technologies and software engineering, and don’t forget to mention any specific tools like Kubernetes or Terraform!
Craft a Compelling Cover Letter: Use your cover letter to tell us a bit more about yourself. Explain how your background aligns with our mission at Sage Ai and why you’re the perfect fit for our team. Keep it conversational and genuine!
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. Plus, it’s super easy!
How to prepare for a job interview at WomenTech Network
✨Know Your Cloud Tech
Make sure you brush up on your knowledge of cloud infrastructure, especially AWS, Azure, or GCP. Be ready to discuss how you've automated cloud systems in the past and share specific examples of projects where you’ve built scalable infrastructure.
✨Showcase Your Software Craftsmanship
Prepare to talk about your software engineering background, particularly in Python or Go. Highlight instances where you’ve shipped quality software daily and how you ensure that your code is both pragmatic and simple.
✨Emphasise Collaboration Skills
Since this role involves working with cross-functional teams, be ready to discuss your communication and collaboration skills. Share experiences where you’ve worked closely with data scientists or engineers to solve complex problems.
✨Demonstrate Problem-Solving Abilities
Think of examples where you’ve tackled problems that span multiple interconnected systems. Be prepared to explain your thought process and how you approach designing end-to-end distributed solutions.
