1 день назад
Member of Technical Staff — Software Engineer (Backend) (AI/SaaS)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Member of Technical Staff — Software Engineer (Backend) (AI/SaaS): Building customer-facing features, scalable APIs, backend services, and data flows for a multi-tenant AI-native SaaS platform with an accent on reliability, observability, and production ownership. Focus on designing distributed services, improving performance and cost visibility, investigating incidents, and integrating AI-assisted development into backend engineering.
Location: Buenos Aires, Argentina
Company
is building Computer, an AI teammate and AI-native SaaS platform that unifies data sources, tools, and workflows for product, support, and growth teams.
What you will do
- Build customer-facing product features across APIs, backend services, data models, and responsive web interfaces.
- Design and evolve scalable backend APIs, services, and data flows for reliable multi-tenant SaaS capabilities.
- Own features from concept through production, including requirements, technical design, implementation, testing, and iteration.
- Improve code quality, testing, performance, accessibility, security, observability, alerting, and cost visibility.
- Investigate production issues, participate in a follow-the-sun on-call rotation, and complete post-incident follow-ups.
- Collaborate with product managers, designers, and engineers while building infrastructure and application automations.
Requirements
- 3+ years of professional software engineering experience delivering production web applications or SaaS products.
- Hands-on experience with AWS, Google Cloud, or Microsoft Azure.
- Strong programming experience in at least one backend language: Go, Java, Python, or Node.
- Experience designing and developing APIs, backend services, and SDKs.
- Knowledge of relational and NoSQL databases, asynchronous processing, and scalable reliable systems.
- BS/MS in Computer Science or a related field, or equivalent practical experience.
Nice to have
- Experience with multi-tenant SaaS, event-driven architecture, message buses or queues, and high-throughput distributed services.
- Cloud-native development experience with Docker, Kubernetes, CI/CD, and production observability.
- Experience with AI/ML product capabilities, including LLM applications, agentic workflows, search, or recommendation systems.
- Knowledge of OpenTelemetry, Terraform, YAML, Helm, HCL, or Argo CD.
- Experience with reusable component libraries, internal developer tooling, or open-source projects.
Culture & Benefits
- Work with a global group of engineers, designers, and product leaders.
- Build an AI-native platform focused on customer empathy, craft, and meaningful product outcomes.
- Own work end-to-end and grow through real product and technical challenges.
- Participate in a distributed team and use AI-assisted development tools responsibly.
- is committed to diversity and inclusion as an equal opportunity employer.
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