7 hours ago
Remote, United Kingdom +7 moreSenior
Responsibilities
- Own product features end-to-end, from understanding customer problems through design, implementation, release, monitoring, and iteration.
- Design, build, and scale Go backend services that ingest and model AI spend and usage data.
- Build API-first capabilities and TypeScript and React product experiences for analyzing cloud AI costs.
- Understand AI spending economics, including token and model pricing, inference, GPU costs, and usage allocation.
- Use AI tools across code exploration, prototyping, coding, debugging, testing, and documentation.
- Set engineering standards through design reviews, guardrails, engineering practices, mentoring, and knowledge sharing.
Requirements
- 7+ years of professional software engineering experience, including multi-tenant SaaS products and end-to-end production ownership.
- Strong Go experience building backend services, APIs, and data-processing systems.
- Strong TypeScript and modern React experience with an ability to present data clearly.
- Ability to work across the stack, from data modeling through user interfaces.
- Experience with public cloud, preferably GCP, or AWS or Azure, and SQL against an analytical store such as BigQuery.
- Product-oriented judgment, strong software engineering and architecture knowledge, and the ability to set direction for others.
- Experience using AI tools throughout the engineering workflow and ability to discuss their benefits and limitations.
- Excellent written and verbal English communication skills, plus self-organization, motivation, confidence, thoroughness, and tenacity.
- Knowledge of FinOps and FinOps products is preferred.
- A portfolio of work and a BA/BS degree or equivalent practical experience are preferred.
Benefits
- Remote full-time employment is available in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel; contractor arrangements are available in Eastern Europe and Portugal.
- Unlimited vacation and flexible working options.
- Health insurance and parental leave.
- Employee stock option plan.
- Home office allowance and professional development stipend.
- Peer recognition program.
Tech Stack
Categories
About DoiT
DoiT builds a multicloud management and FinOps platform, combined with embedded cloud engineering services, for companies running on AWS, Google Cloud, and Azure. It helps customers optimize costs, simplify billing, and improve architectures across Kubernetes, BigQuery, Snowflake, and Databricks. Founded in 2011 and headquartered in Santa Clara, it is a privately held cloud partner with a $100M Series A raised in 2019.