Staff Cloud Architect L4

robotsandpencils; United States; Hybrid; USD 55,000 - 76,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, vision

Retirement benefits

Job summary

robotsandpencils seeks a Staff Cloud Architect to lead the technical strategy and end-to-end architecture of complex cloud, data, and AI initiatives. You will guide major engagements and help teams build scalable, secure platforms.

This senior, delivery-embedded role oversees architecture across cloud, data, and AI workloads, with a focus on migration, modernization, governance, and robust IaC/DevOps practices. Contract role for six months.

Qualifications

• Translate business goals into architectural decisions for cloud/data/AI.
• Communicate complex concepts to technical and non-technical audiences.
• Establish architecture standards, docs, and engineering best practices.
• Lead and mentor engineers across multiple teams and stakeholders.

Responsibilities

• Define technical strategy and architecture for cloud, data, and AI engagements.
• Design scalable cloud-native/multi-cloud/hybrid solutions on AWS, Azure, Google Cloud, and Kubernetes.
• Architect data warehouses, lakes, and batch/streaming pipelines.
• Design ML platforms, model-serving, MLOps, feature stores, and LLM-based apps.
• Set standards for IaC, CI/CD, DevOps, reliability, security, governance, and compliance.
• Lead migrations and modernization, serving as escalation point for complex challenges.

Skills

Cloud architecture

Multi-cloud design

Data architecture

AI/ML systems

DevOps/CI-CD

Technical leadership

Mentoring engineers

Stakeholder comms

Tools

Terraform

CloudFormation

GitHub Actions

Snowflake

Redshift

BigQuery

Spark

Kafka

SageMaker

Vertex AI

Job description

Role overview

Staff Cloud Architect leading the technical strategy and end-to-end architecture of complex systems spanning cloud, data, and AI. The position serves as a senior delivery-embedded technical authority, guiding major engagements, resolving difficult architecture problems, and helping teams build scalable, secure, reliable platforms. This is a six-month contract role.

Responsibilities

• Define technical strategy and architecture for complete engagements involving cloud infrastructure, data platforms, and AI/ML workloads.
• Design scalable cloud-native, multi-cloud, or hybrid solutions across platforms such as AWS, Azure, Google Cloud, and Kubernetes.
• Architect data warehouses, lakes, and batch or streaming pipelines.
• Design machine-learning platforms, model-serving systems, MLOps pipelines, feature stores, and LLM-based applications.
• Set standards for infrastructure as code, CI/CD, DevOps, performance, reliability, cost management, security, governance, and compliance.
• Lead cloud migration and platform-modernization initiatives while acting as an escalation point for complex technical challenges.

Requirements

• Extensive experience designing and delivering cloud architectures for complex systems or major technical engagements.
• Ability to translate business goals into clear architectural decisions and communicate them to technical and non-technical audiences.
• Strong understanding of cloud infrastructure, data architecture, AI/ML systems, DevOps, reliability, and security concerns.
• Experience establishing architecture standards, documentation, guidelines, and engineering best practices.
• Demonstrated technical leadership, including mentoring engineers and coordinating across engineering, data, AI, product, leadership, and client stakeholders.
• Ability to make sound decisions amid ambiguity, balancing scalability, security, cost, performance, and delivery constraints.

Nice to have

• Experience with Snowflake, Redshift, BigQuery, Spark, Kafka, SageMaker, Vertex AI, MLflow, Hugging Face, Terraform, CloudFormation, or GitHub Actions.
• Relevant cloud or architecture certifications, such as AWS, Azure, Google Cloud, or TOGAF.
• Experience with regulated environments or requirements involving GDPR, HIPAA, or SOC 2.

Benefits and work setup

The role is a six-month contract intended for candidates located in Canada or the United States.

• The listed compensation range is approximately $53–$74 CAD per hour.
• The source also describes paid time off and medical, dental, vision, and retirement benefits for eligible employees.