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- Tasks: Investigate AWS environments to optimise costs and develop automation strategies.
- Company: CloudZero is a leading cloud cost intelligence platform helping teams manage cloud expenses effectively.
- Benefits: Enjoy competitive salary, medical insurance, and flexible work options.
- Why this job: Join a mission-driven team tackling real-world cloud challenges with innovative solutions.
- Qualifications: Strong AWS knowledge, analytical skills, and software development experience required.
- Other info: Remote work available; must have US work authorization.
The predicted salary is between 43200 - 64800 £ per year.
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People and Talent – Putting Engineers in Control of Cloud Cost- We\’re Hiring!
About the Role:
CloudZero is on a mission to help engineering teams build cost-efficient, scalable systems in the cloud. We’re the industry’s leading cloud cost intelligence platform, and we’re expanding our efforts to bring advanced AWS optimization to the heart of our platform and services.
We’re looking for a Research Engineer with deep AWS expertise to help discover and develop cost-saving strategies, automation logic, and insights that directly shape our product and guide our customers toward better cloud economics.
What You will do:
- Investigate and analyze real-world AWS environments to surface inefficient configurations, underutilized resources, and design patterns with high cost-to-value ratios.
- Develop and validate cost optimization strategies across AWS services like EC2, S3, RDS, Lambda, EKS, and more.
- Prototype optimization logic and models in Python (or equivalent) and SQL, integrating with CloudZero’s data pipeline.
- Write scalable, reusable scripts for simulation, modeling, and recommendation generation.
- Collaborate closely with Data Science, Engineering, and Product teams to convert research into customer-facing intelligence.
- Stay on top of AWS pricing changes, savings plans, reserved instance models, and service evolution to inform internal logic and customer guidance.
- Support the integration of ML-based techniques into optimization workflows (e.g., workload classification, anomaly detection).
- Work with platform APIs and metadata to detect signals and patterns that drive actionable recommendations.
What We’re Looking For:
- Strong analytical skills and experience modeling savings strategies in AWS environments.
- Strong knowledge of AWS services and pricing models — especially EC2, S3, RDS, Lambda, and autoscaling strategies.
- Have hands-on software development experience and experience using APIs and working with cloud infrastructure metadata.
- Familiarity with DevOps, Infrastructure-as-Code, and CI/CD tools
- Comfort with documenting and communicating technical ideas clearly, especially when turning research into product features or internal tools.
- A collaborative mindset — you’ll be working across Product, Engineering, and Customer Success to land meaningful results.
Please note: CloudZero is unable to sponsor employment visas or provide immigration-related support now or in the future. All candidates must have current, unrestricted authorization to work in the United States permanently.
About CloudZero:
Cloud cost management is one of the biggest challenges organizations face today. As cloud adoption continues to accelerate, so do the complexities and costs associated with it — and macroeconomic conditions only increase pressure to prove cloud efficiency. That’s why we built CloudZero: a SaaS platform at the intersection of next-generation cloud cost management and FinOps. CloudZero ingests billing and usage data from all cloud, SaaS, and PaaS providers, organizes it in real time according to our customers’ business structures, lets customers view it at any level of time or resource granularity, and ultimately empowers them to make more informed business decisions.
Since our founding in 2016, our mission has been to make efficient innovation a reality for every cloud-driven organization. At CloudZero, we believe every engineering decision is a buying decision, yet the cost conversation often bypasses the engineers who drive those determinations. To solve this, we’ve built a dynamic, single-page application that answers the complex, data-heavy questions every cloud-based organization needs to ask if they want to grow their company profitably.
To date, we\’ve raised over $119 million, including a $56 million Series C round backed by leading venture capital firms from across the country. We\’re tackling challenges of massive scale, strategic business importance, and technical complexity in a space that needs innovation more than ever. We\’re growing rapidly—and we\’d love for you to join us.
Seniority level
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Job function
Consulting and Engineering
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Industries
Software Development
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Inferred from the description for this job
Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
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Research Engineer (AWS Optimization) employer: CloudZero
Contact Detail:
CloudZero Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer (AWS Optimization)
✨Tip Number 1
Familiarise yourself with the latest AWS services and pricing models, especially those mentioned in the job description like EC2, S3, and RDS. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your analytical skills by preparing examples of past projects where you've successfully modelled savings strategies in AWS environments. Be ready to discuss these experiences in detail, as they will demonstrate your capability to handle the responsibilities of the role.
✨Tip Number 3
Connect with current employees at CloudZero on LinkedIn or other platforms. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 4
Prepare to discuss how you would integrate machine learning techniques into optimisation workflows. Having a clear understanding of this area will set you apart from other candidates and show your forward-thinking approach to the role.
We think you need these skills to ace Research Engineer (AWS Optimization)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Research Engineer (AWS Optimization) position. Familiarise yourself with AWS services mentioned in the job description, such as EC2, S3, and Lambda.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your analytical skills, AWS expertise, and any hands-on software development experience you have.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cloud cost management and your understanding of CloudZero's mission. Mention specific projects or experiences that demonstrate your ability to develop cost-saving strategies and collaborate with teams.
Showcase Technical Skills: In your application, be sure to mention your proficiency in programming languages like Python and SQL, as well as your familiarity with DevOps practices. Providing examples of past projects where you've used these skills can strengthen your application.
How to prepare for a job interview at CloudZero
✨Showcase Your AWS Expertise
Make sure to highlight your deep knowledge of AWS services, especially EC2, S3, RDS, and Lambda. Be prepared to discuss specific examples of how you've optimised costs in previous roles or projects.
✨Demonstrate Analytical Skills
Prepare to showcase your analytical skills by discussing past experiences where you modelled savings strategies or identified inefficiencies in AWS environments. Use data and metrics to back up your claims.
✨Familiarise Yourself with CloudZero's Mission
Understand CloudZero's mission and how they approach cloud cost management. Be ready to discuss how your skills align with their goals and how you can contribute to their vision of efficient innovation.
✨Prepare for Technical Questions
Expect technical questions related to AWS pricing models, automation logic, and APIs. Brush up on your Python and SQL skills, as well as any relevant DevOps practices, to demonstrate your hands-on experience.
