[Remote] Experienced FinOps Engineer - AWS at Mineral

Porto, Porto District, Portugal

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, FintechIndustries

Requirements

Candidates must have proven experience in cloud cost monitoring, analysis, or FinOps roles, with a strong understanding of the AWS cloud platform and its pricing models. Proficiency in monitoring and reporting tools like DataDog and/or Vantage, and experience with automation and scripting using Python and/or Go are essential. Solid experience with cloud tools such as Kubernetes and Terraform, strong analytical and problem-solving skills, and the ability to communicate technical information clearly to non-technical stakeholders are also required. Nice to have qualifications include experience with cost management tools like AWS Cost Explorer or third-party tools, a FinOps certification or participation in the FinOps Foundation community, and experience using ArgoCD or Flux.

Responsibilities

The FinOps Engineer will play a key role in analyzing and optimizing AWS cloud spend by monitoring and auditing cloud costs. They will use observability tools to create dashboards that provide cost visibility and transparency across multiple services in a multi-tenant ecosystem. Responsibilities include using scripting languages like Python or GO to collect and fine-grain cloud cost information, collaborating closely with cross-functional teams to drive cost efficiency, and contributing to the development of meaningful solutions.

Skills

AWS

DataDog

Vantage

Python

Kubernetes

Terraform

AWS Cost Explorer

CloudHealth

Apptio

CAST AI

ArgoCD

Flux

SaaS

PaaS

IaaS

Cost Analysis

Scripting

Automation

Problem-Solving

Communication

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Mountain View, CaliforniaHeadquarters

N/AYear Founded

VENTURE_UNKNOWNCompany Stage

Food & Agriculture, AI & Machine LearningIndustries

51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.

Licensing model could reduce control over technology application and revenue stability.

Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.

The company partners with industry leaders like Driscoll's for real-world technology applications.

Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.

Partnerships with companies like Driscoll's enhance technology application and sustainability goals.

Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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