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Описание вакансии
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TL;DR
Senior Software Engineer (AI): Building and supporting customer-facing software for a human data platform powering AI research with an accent on full-stack development, cloud infrastructure, and production observability. Focus on designing event-driven systems, improving system stability across AWS, GCP, and Azure, and delivering measurable customer value through iterative product development.
Location: Mexico City, Mexico; remote working available
Company
Prolific provides human data infrastructure that connects researchers and companies with a global participant pool to support AI development and behavioral research.
What you will do
- Build, deploy, and support customer-facing software in a cross-functional, stream-aligned team.
- Collaborate with engineering, product, design, customer-facing, and external teams to understand user needs and deliver valuable product improvements.
- Work across the full software lifecycle, from code commits through production operation, using a You Build It, You Run It approach.
- Develop and maintain cloud-based, event-driven systems using AWS, GCP, and Azure.
- Improve production reliability through monitoring, observability, testing, and tools such as Datadog.
- Contribute to engineering culture, continuous improvement, and data-driven product decisions.
Requirements
- Senior-level experience developing modern web applications.
- Experience building TypeScript and JavaScript applications with NoSQL databases.
- Professional experience with Python and event-driven architecture.
- Experience with AWS serverless services and/or GCP, plus willingness to work across major cloud providers.
- Knowledge of test automation, production support, monitoring, tracing, and full-stack observability.
- Strong collaborative engineering practices, product focus, and commitment to continuous learning.
Nice to have
- Experience with Vue.js, Django REST Framework, MongoDB, DynamoDB, Kubernetes, Celery, EventBridge, CircleCI, or GitHub Actions.
Culture & Benefits
- Remote working within a mission-driven product environment.
- Work on human data infrastructure supporting AI innovation and research.
- Competitive salary and benefits.
- Agile, collaborative engineering culture with a focus on feedback, growth, and customer impact.
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