Senior Software 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 

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Description

Software delivery remains trapped in inertia. Backlogs accumulate, cycle times stretch into weeks, and "code review" frequently devolves into a formality designed to satisfy sprint commitments. Most engineering organizations contend with mounting integration risk, fragile system architectures, and ambiguous requirements. At the same time, AI coding agents demonstrate the capacity to produce viable code—but only when guided by explicit specifications and monitored with discipline. The industry continues to add more developers to keyboards rather than addressing the underlying system that transforms intention into dependable, production-ready software.

Trilogy has chosen a different approach. We operate an agent-driven development process from start to finish: engineers own research, specification, architecture, and quality assurance, while AI agents execute implementation. Specifications are authored to be machine-executable by Claude Code, designed test-first and narrowly scoped to contain integration risk. The outcome is continuous deployment of production features with significantly compressed feedback cycles, reduced integration surprises, and elevated confidence in correctness before any code reaches main.

This role is designed for the engineer who prefers to architect systems and validate correctness rather than process tickets. You will allocate approximately 10–20% of your time to research and technical exploration, understanding existing behavior, constraints, and stakeholder requirements; 40–50% translating that knowledge into precise, test-driven, agent-consumable specifications and architectural choices; and 40–50% directing and supervising implementation. You own what is delivered: no hidden failures, no vague specifications, no deflecting accountability to the agent.

You will work alongside a team that regards specification as a deliverable, review as an engineering practice, and delivery as the singular performance metric. If you are motivated by clean system architecture, precise scoping, and rigorous validation—and you already incorporate tools such as Claude Code, Cursor, Copilot, or ChatGPT into your regular workflow—this environment will suit you. Bring your architectural expertise, your test-driven development discipline, and your exacting standards for code quality. If this describes you, come lead the evolution of how software is built. Apply and demonstrate how you direct agents to produce production-grade results at scale.

What you will be doing

  • Technical Discovery: Examining existing systems, stakeholder requirements, and data sources to map the problem domain and identify technical constraints
  • Technical Specification: Translating research outputs and stakeholder requirements into precise, machine-executable technical specifications tailored for agentic coding assistants (primarily Claude Code) through spec-driven development practices
  • AI Implementation: Directing AI coding agents through implementation, performing continuous review and validation of agent-generated code, and merging validated changes into production codebases

Key responsibilities

  • Continuous delivery of production-quality software features and systems via agentic development workflows, in which AI coding agents execute implementation while engineers maintain ownership of specification, architecture, and quality assurance

Candidate requirements

  • At least 3 years professional software engineering experience in production environments
  • Experience participating in pull request review processes
  • Experience using AI coding tools (e.g. Claude Code, Windsurf, Cursor) in a professional setting

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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