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- Tasks: Build scalable cloud infrastructure for machine learning and empower businesses with data insights.
- Company: Join Sage Ai, a dynamic team revolutionising cloud accounting with AI.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the future of accounting while working with cutting-edge technology.
- Qualifications: Experience in cloud infrastructure, software engineering, and strong problem-solving skills.
- Other info: Collaborate with a high-performing team that values learning and innovation.
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. 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.
Seniority Level: Mid‑Senior level
Employment Type: Full‑time
Job Function: Information Technology
Industry: Software Development
Senior Cloud Infrastructure Engineer in Winnersh employer: Sage
Contact Detail:
Sage 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 common technical questions and scenarios related to cloud technologies. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨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 team at Sage Ai.
We think you need these skills to ace Senior Cloud Infrastructure Engineer in Winnersh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Cloud Infrastructure Engineer role. Highlight your experience with cloud technologies like AWS, Azure, or GCP, and showcase any relevant projects that demonstrate your skills in building scalable infrastructure.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about cloud infrastructure and how your background aligns with our mission at Sage Ai. Don’t forget to mention your love for quality software and teamwork!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We want to see your thought process and how you approach challenges, especially those involving interconnected systems.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Sage
✨Know Your Cloud Tech Inside Out
Make sure you brush up on your knowledge of cloud infrastructure, especially AWS, Azure, or GCP. Be ready to discuss specific projects where you've automated cloud infrastructure and how you tackled challenges along the way.
✨Showcase Your Software Craftsmanship
Prepare examples that highlight your software engineering skills, particularly in Python or Go. Talk about how you ensure quality in your code and any practices you follow to ship software daily.
✨Demonstrate Problem-Solving Skills
Think of scenarios where you've solved complex problems involving interconnected systems. Be ready to explain your thought process and the steps you took to arrive at a solution.
✨Emphasise Team Collaboration
Since this role involves working with cross-functional teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've communicated effectively and contributed to team success.
