2 days ago

Senior Full-Stack Engineer - AI Cost Visibility

Jobgether

Netherlands

2 days ago

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Senior Full-Stack Engineer needed to take end-to-end ownership of a product helping organizations understand and optimize AI workload costs. Requires 7+ years of software engineering experience with strong Go, TypeScript, React, and cloud platform skills. Fully remote role based in the Netherlands.

AI-enabledRemoteFull-timeSeniorGoTypeScript

Senior Full-Stack Engineer - AI Cost Visibility

Apply

AI-enabledRemoteFull-timeSeniorGo

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Fully remote, remote-first environment

Experience Required

7 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)

GoTypeScriptReactSQLGoogle Cloud PlatformAWSAzureBigQueryREST APIsMulti-tenant SaaSData processing pipelinesAI toolsSoftware architectureDesign patternsScalability

Soft Skills

Product-oriented mindsetCommunicationSelf-organizationProactiveSelf-motivatedMentoringCollaborationProblem solvingAdaptabilityOwnership

Preferred Qualifications

Technical (Nice-to-have)

FinOpsCloud cost managementAI infrastructureCloud economicsAI workload cost optimization

Key Responsibilities

•Own features end-to-end, from understanding customer problems and defining solutions through design, implementation, release, monitoring, and continuous iteration.
•Take responsibility for the reliability, usability, quality, and measurable business impact of the features you deliver.
•Proactively identify opportunities and propose improvements rather than relying solely on predefined specifications.
•Develop and scale backend services in Go, including APIs, data processing pipelines, and production-grade services.
•Build modern product experiences using TypeScript and React, presenting complex cost and usage data in clear, intuitive, and trustworthy interfaces.
•Design API-first capabilities that can be consumed by both human users and AI agents.
•Work with large volumes of cloud cost and usage data and translate them into useful product experiences and actionable insights.
•Develop a strong understanding of AI spending models, including token and model pricing, inference economics, GPU costs, and the allocation of usage across teams and initiatives.
•Apply FinOps principles and customer needs to product and technical decisions where relevant.
•Use AI tools throughout the engineering lifecycle, including codebase exploration, prototyping, code generation and review, debugging, testing, and documentation.
•Evaluate the effectiveness and limitations of AI-assisted development and establish appropriate quality standards for its use.
•Contribute to thoughtful architecture, design reviews, engineering practices, and technical guardrails that enable rapid but reliable delivery.
•Mentor peers, share knowledge, and help raise engineering standards across the team.
•Collaborate effectively in a distributed environment and contribute to product decisions in a market characterized by significant ambiguity and rapid change.

Full-Stack EngineerAI Cost VisibilityFinOpsGoTypeScriptReactRemoteSeniorCloud InfrastructureSaaS

Core Qualifications

Technical (Must-have)

GoTypeScriptReactSQLGoogle Cloud PlatformAWSAzureBigQueryREST APIsMulti-tenant SaaSData processing pipelinesAI toolsSoftware architectureDesign patternsScalability

Soft Skills

Product-oriented mindsetCommunicationSelf-organizationProactiveSelf-motivatedMentoringCollaborationProblem solvingAdaptabilityOwnership

Key Responsibilities

•Own features end-to-end, from understanding customer problems and defining solutions through design, implementation, release, monitoring, and continuous iteration.

•Take responsibility for the reliability, usability, quality, and measurable business impact of the features you deliver.

•Proactively identify opportunities and propose improvements rather than relying solely on predefined specifications.

•Develop and scale backend services in Go, including APIs, data processing pipelines, and production-grade services.

•Build modern product experiences using TypeScript and React, presenting complex cost and usage data in clear, intuitive, and trustworthy interfaces.

•Design API-first capabilities that can be consumed by both human users and AI agents.

•Work with large volumes of cloud cost and usage data and translate them into useful product experiences and actionable insights.

•Develop a strong understanding of AI spending models, including token and model pricing, inference economics, GPU costs, and the allocation of usage across teams and initiatives.

•Apply FinOps principles and customer needs to product and technical decisions where relevant.

•Use AI tools throughout the engineering lifecycle, including codebase exploration, prototyping, code generation and review, debugging, testing, and documentation.

•Evaluate the effectiveness and limitations of AI-assisted development and establish appropriate quality standards for its use.

•Contribute to thoughtful architecture, design reviews, engineering practices, and technical guardrails that enable rapid but reliable delivery.

•Mentor peers, share knowledge, and help raise engineering standards across the team.

•Collaborate effectively in a distributed environment and contribute to product decisions in a market characterized by significant ambiguity and rapid change.