Senior Full-Stack Engineer - AI Cost Visibility

Accountabilities

• 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.

Requirements

• 7+ years of professional software engineering experience, including experience building and operating multi-tenant SaaS products in production.


• Proven track record of owning features or products end-to-end, from problem definition through implementation and ongoing improvement.


• Strong professional experience with Go, particularly for backend services, APIs, data processing, and production operations.


• Strong TypeScript and modern React skills, with an understanding of how to present complex data clearly and effectively.


• Comfortable working across the full technology stack, with the ability to take a feature from data model and backend services through to the user interface.


• Experience developing on public cloud platforms, preferably Google Cloud Platform, with AWS or Azure experience also relevant.


• Working proficiency in SQL and experience working with analytical data stores such as BigQuery.


• Strong product-oriented mindset, with an ability to understand why something should be built and assess whether it delivers value for users.


• Demonstrated experience using AI tools across the software engineering workflow and the ability to articulate their practical benefits and limitations.


• Strong understanding of software engineering practices, design patterns, architecture, scalability, reliability, and maintainability.


• Ability to provide technical direction and establish strong engineering practices for other team members.


• Comfortable working with ambiguity and rapidly changing priorities, with the ability to identify the right problems to solve rather than simply implementing predefined solutions.


• Excellent written and verbal English communication skills.


• Highly self-organized, goal-oriented, proactive, and self-motivated.


• Confident, thorough, and persistent approach to solving complex technical and product challenges.

• Experience with FinOps or cloud cost management products.


• Knowledge of AI infrastructure, cloud economics, or AI workload cost optimization.


• Bachelor’s degree in computer science, engineering, or a related field, or equivalent practical experience.


• A portfolio or demonstrated track record of products, features, or technical projects you have built throughout your career.

• Fully remote working opportunity from Romania.


• Flexible working arrangements designed to support a healthy balance between professional and personal life.


• Unlimited vacation.


• Flexible working options and a remote-first environment.


• Health insurance.


• Parental leave.


• Employee stock option plan.


• Home office allowance.


• Professional development stipend to support continued learning and career growth.


• Peer recognition program.


• Opportunity to work on a high-impact product at the intersection of AI, cloud infrastructure, and FinOps.


• Significant autonomy and ownership over the products and features you build.


• Opportunity to work with a global, distributed team of experienced technology professionals.


• Support for professional and personal development in an entrepreneurial and knowledge-sharing culture.


• Inclusive and collaborative environment where diverse perspectives are valued and encouraged.

This listing is from Lever. View original listing ↗