4 months ago
Spain (city not specified)Senior / Staff+
Responsibilities
- Build agent skills, sub-agents, guardrails, hooks, verification workflows, adversarial review, and automated quality gates for production software delivery.
- Develop a shared knowledge base containing architecture conventions, domain knowledge, and past engineering decisions.
- Own cloud development environments, CI runtime, ephemeral environments, and autonomous workflows that create agent runs and reviewable pull requests.
- Build evaluation and measurement infrastructure using real engineering tasks, baselines, DORA metrics, delivery metrics, and adoption data.
- Optimize AI workflow economics through model routing, prompt caching, tool-list pruning, and evaluation of self-hosted versus frontier models.
- Drive adoption through internal talks, workshops, mentorship, and direct collaboration with Fever squads.
- Maintain high standards for testing, design patterns, CI/CD, observability, and production ownership.
- Lead initiatives end to end, mentor engineers, and potentially lead and grow a small team while continuing to write code.
Requirements
- 5+ years of experience building and operating production software at meaningful scale, equivalent to 60 months.
- Strong software design fundamentals, including clean architecture, design patterns, and clear system boundaries.
- Backend experience with RESTful APIs, relational databases, SQL, asynchronous and event-driven patterns, queues, messaging, and idempotency.
- Experience with test-driven development, unit, integration, and end-to-end testing, static analysis, and CI quality gates.
- Production ownership experience with CI/CD, observability, monitoring, and live-system accountability.
- At least 1–2 years of deep experience shipping LLM applications to production, including context engineering, RAG, multi-agent orchestration, and evaluations.
- Daily production use and engineering of coding agents, including skills, sub-agents, hooks, MCP integrations, and knowledge bases.
- Ability to design measurements, establish baselines, account for non-determinism, and evaluate AI-system quality and adoption.
- Understanding of AI observability and silent degradation in AI systems.
- Outstanding written and verbal English communication skills, including mentoring, technical talks, workshops, or technical writing.
- Interest in mentoring, leading initiatives, expanding impact beyond individual code contributions, and potentially leading a team while remaining hands-on.
- Product mindset focused on adoption, prioritization, measurable impact, and internal users.
- Preferred qualifications include public work on agent harnesses, AI evaluation, developer experience, or AI-era engineering tooling; internal tools or developer-platform experience; engineering leadership or mentoring experience; and comfort working with ambiguity at startup speed.
Benefits
- Attractive base salary and potential performance bonus; specific compensation figures are not stated.
- Stock options.
- Opportunity to have significant impact at a high-growth global category leader.
- 40% discount on Fever events and experiences.
- Home-office-friendly work arrangement.
- Responsibility from day one with professional and personal growth opportunities.
- International work environment with a talented team.
- Health insurance and flexible remuneration with a 100% tax exemption through Cobee.
- English lessons.
- Free food, drinks, and fruit at the office.
- Possibility of receiving part of salary in advance through Payflow.
Tech Stack
Categories
About FeverUp
Fever builds a marketplace and ticketing platform that helps consumers discover and book local live entertainment, and helps creators produce and scale experiences. It curates and co-produces events such as Candlelight Concerts and immersive shows, and operates in more than 100 cities worldwide. Founded in 2014 and headquartered in New York, Fever is privately held and earns revenue from ticket sales and partnerships with venues and brands.