5 дней назад
Senior Cloud Architect (AI)
53 - 73$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Cloud Architect (AI): Designing and delivering complex cloud, data, and AI/ML systems with an accent on cloud-native infrastructure, data platforms, and production-ready AI integration. Focus on building microservices and serverless workloads, implementing infrastructure as code and MLOps pipelines, and solving scalability, security, and observability challenges.
Location: Remote in the United States or Canada; applications from outside Canada and the United States will not be considered.
Salary: $53–$73 USD per hour
Company
Robots & Pencils is an applied AI engineering firm that designs and delivers AI co-workers and enterprise systems for clients across multiple industries.
What you will do
- Contribute to architectural design across cloud, data, and AI/ML systems, owning meaningful components end to end.
- Build and integrate cloud-native microservices, serverless applications, and containerized workloads.
- Implement infrastructure as code, CI/CD pipelines, monitoring, logging, and observability.
- Design data architectures including pipelines, warehouses, and data models.
- Support AI/ML system design, model serving, MLOps pipelines, and LLM-based integrations.
- Collaborate with engineering, data, AI, and product teams while documenting decisions, participating in design reviews, and mentoring junior engineers.
Requirements
- 5+ years of professional software engineering experience with exposure to architectural decision-making.
- Working knowledge of AWS, Azure, or GCP and cloud-native architectures.
- Proficiency in Python and at least one additional modern programming language such as Java, Scala, or TypeScript.
- Hands-on experience with Docker, Kubernetes, infrastructure as code, and CI/CD pipelines.
- Knowledge of relational and NoSQL databases, data pipelines, ETL/ELT, microservices, serverless, and event-driven architectures.
- Familiarity with AI/ML system design, MLOps, LLM integration, security, compliance, and observability fundamentals, plus demonstrable use of Claude or Cursor.
Nice to have
- Experience with Snowflake, BigQuery, Airflow, dbt, SageMaker, Vertex AI, MLflow, or Hugging Face.
- Experience working with GDPR, HIPAA, or SOC 2 requirements.
Culture & Benefits
- Work in delivery-embedded, cross-functional teams focused on shipping production-ready AI.
- Collaborate with experienced teams averaging more than 15 years of experience.
- Benefits for eligible employees include paid time off, medical, dental, and vision insurance, and a 401(k).
- Employment may be conditional on a background check in accordance with local legislation.
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