Full-Stack Developer — AI Tooling & Operations en Vequity

Remoto (Sudamérica y Centroamérica) | Senior | Full time | Machine Learning / AI

Sueldo bruto $4000 - 6000 USD/mes

133 postulaciones

Revisado por última vez ayer

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Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers — a platform with over 2.1 million buyer profiles, each containing ~100 structured and inferred data fields. Our proprietary AI agents continuously enrich, infer, and structure buyer intelligence at scale.

We need a fullstack engineer who ships product features end-to-end, brings real fluency with AI development tooling, and will take ownership of deployment pipelines that currently lack a dedicated owner.

This is a two-sided role: half building features that users see, half making the engineering team faster and more reliable. If you’ve actually built with Claude Code, Cursor, GitHub Copilot, or similar tools — not just experimented — and you can prove it with real output, we want to talk.

Aplica a este empleo desde Get on Board.

What you’ll own

Fullstack product development. Build and ship features across the Angular frontend and C# / Python backend. Translate product requirements into production-ready code. Write clean, tested, maintainable code with solid PR practices.
AI-augmented development. Actively use AI coding tools (Claude Code, Cursor, GitHub Copilot, Windsurf, Aider) to accelerate your own development velocity. Improve team patterns and best practices for AI-assisted workflows. Evaluate and integrate new AI development tools as they emerge.
Deployment and operations. Own and improve CI/CD pipelines, deployment automation, and infrastructure-as-code. Build monitoring, alerting, and incident response capabilities. Manage cloud infrastructure (GCP) including cost optimization and scaling. Create and maintain runbooks for operational procedures.
Developer experience and tooling. Reduce friction in the development-to-deployment cycle. Improve local development environments, testing infrastructure, and developer workflows. Standardize build, lint, and test tooling across the codebase.
Cross-functional collaboration. Work across product, engineering, and sales operations teams. Bridge feature development and infrastructure reliability. Participate in code reviews and mentor team members.

What success looks like in year one

Shipping 2–3 features per sprint while maintaining code quality.
Continuous deployment implemented within your first month.
At least one improvement to the team’s AI-assisted workflow per week.
Deployment pipeline has a clear owner with documented runbooks and <15 minute rollback capability within 3 months.
Zero unplanned downtime from deployment issues within 6 months.
Your teammates are measurably faster because of the tooling and patterns you’ve introduced.

What we’re looking for

Core requirements

4+ years fullstack development experience with Angular + Python or C# backends.
Demonstrated production use of AI coding tools (Claude Code, Cursor, GitHub Copilot) — must be able to show concrete examples of how these tools changed your workflow and output.
Experience with CI/CD pipelines, containerization (Docker), and cloud deployment (GCP preferred, AWS acceptable).
Solid understanding of DevOps practices: infrastructure-as-code, monitoring, logging, alerting.
Strong written English — this is a remote, async-heavy role with a US-based team.
Comfort working in a fast-paced startup where priorities shift and ownership is expected.

Nice to have

Github Actions experience is a big plus
Experience owning deployment pipelines end-to-end in a startup environment.
Terraform or Pulumi for infrastructure-as-code.
Kubernetes or Cloud Run experience on GCP.
Background in B2B SaaS or data-intensive platforms.
Experience with PostgreSQL and data-heavy applications.
Familiarity with the Python data tooling ecosystem (even if not a data engineer).
Contributions to open source or public examples of AI-augmented development work.

Compensation and benefits

We pay competitively for the LATAM market and we’re transparent about it.

Time off: Manage your own schedule. We trust you.
Health: $150/month health and wellness stipend.
Engagement: B2B contract. 30-day mutual notice.

How we work

Fully remote. We are based in Denver, Colorado (MT, UTC-7). You can work from Mexico, Colombia, Argentina, Brazil, Chile, or anywhere in the Americas with strong overlap.
Same time zone. We expect significant daily overlap with Central Standard Time (CT). LATAM time zones are ideal — this is a key reason we’re hiring in the region.
Async-first. We write things down. Docs, Loom videos, and thoughtful PR descriptions are the norm. Meetings happen when they’re the fastest path to clarity, not by default.
Small team, direct access. You will work directly with the Head of Engineering and the founder. No middle management. Your work ships fast.

GETONBRD Job ID: 60435

Horario flexible Entrada y salida flexibles, libertad para realizar trámites personales o familiares.

Cobertura de salud Vequity paga o copaga cobertura de salud adicional a lo legal.

Computadora Vequity proporciona una computadora para tu trabajo.

Política de trabajo remoto

Remoto sólo localmente

El trabajo es 100% remoto, pero los candidatos deben residir en Sudamérica y Centroamérica para postular.

Acerca de Vequity

Vequity is building the world’s most robust, contextualized buyer intelligence network for investment banks, private equity firms, and strategic acquirers. — Perfil completo de Vequity

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