Serverless Engineer
$100,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks 

Not accepting applications on crossover.com at this time.

Description

Most software teams remain trapped in outdated delivery models. Backlogs pile up, sprint cycles drag on for weeks, and code reviews frequently devolve into perfunctory approval rituals designed to meet deadlines. Integration failures, fragile system designs, and ambiguous requirements dominate the landscape. AI coding agents have demonstrated the ability to generate viable code, yet they succeed only when guided by explicit specifications and rigorous oversight. The industry continues to scale headcount rather than address the fundamental process that transforms requirements into dependable, deployable software.

Trilogy has chosen a different approach. We operate a fully agentic development model: engineers own research, specification, architecture, and quality control, while AI agents execute implementation. Specifications are authored to be directly executable by Claude Code, designed test-first, and scoped with surgical precision to limit integration risk. This approach enables continuous delivery of production features, tighter iteration cycles, reduced integration surprises, and greater assurance of correctness before code reaches the main branch.

This role is for engineers who prefer to design systems and validate outcomes, not churn through tickets. You will allocate approximately 10–20% of your time to research and technical discovery—understanding current system behavior, constraints, and stakeholder expectations; 40–50% to translating those insights into precise, test-driven, agent-consumable specifications and architectural choices; and 40–50% to orchestrating and supervising the implementation process. Accountability for production outcomes rests entirely with you: no silent defects, no vague requirements, no deflection to the agent.

You will work alongside a team that regards specification as a deliverable, code review as an engineering practice, and shipping as the definitive success metric. If you find motivation in thoughtful system architecture, tightly scoped changes, and rigorous validation—and you already incorporate tools like Claude Code, Cursor, Copilot, or ChatGPT into your workflow—this environment will suit you. Bring your architectural judgment, your test-driven development discipline, and your uncompromising standards for code quality. If this resonates, take the next step and demonstrate how you orchestrate agents to produce production-ready results at scale. Apply now.

What you will be doing

  • Technical Discovery: Analyzing existing systems, stakeholder requirements, and available data to establish a clear understanding of problem domains and technical boundaries
  • Technical Specification: Translating research outcomes and requirements into detailed, executable technical specifications tailored for agentic coding assistants (primarily Claude Code) following spec-driven development principles
  • AI Implementation: Directing AI coding agents through implementation, continuously reviewing and validating generated code, and merging verified changes into production codebases

Key responsibilities

  • Sustained delivery of production-ready software features and systems via agentic development workflows, in which AI coding agents execute implementation under the direction of engineers who control specification, architecture, and quality assurance

Candidate requirements

  • Minimum of 3 years of professional software engineering experience in production environments
  • Demonstrated experience participating in pull request review workflows
  • Hands-on experience using AI coding tools (e.g. Claude Code, Windsurf, Cursor) in professional contexts

Meet a successful candidate

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Fabiano Lucchese
Fabiano  |  SVP of Software Engineering
Brazil  

Does your company encourage your natural creativity? This Brazilian engineering leader rediscovered his purpose after unleashing both his an...

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