资深云架构师 L4
Staff Cloud Architect L4
Staff Cloud Architect
本职位不接受来自加拿大和美国以外地区的申请
6个月合同
公司简介
Robots & Pencils 是一家应用人工智能工程公司，正在打造企业架构的新前沿。我们设计并交付能够融入企业运营的AI同事，并为客户提供可衡量的结果。我们全面采用AWS，结合深厚的用户体验能力与资深工程师团队，快速将AI投入生产并保持稳定运行。
我们赢得了消费产品与零售、教育、能源、金融服务、医疗保健、制造等多个领域的领导者的信任，并以灵活的替代方案著称，成为传统全球系统集成商的有力竞争者。公司成立于2009年，设有加拿大、美国、东欧和拉丁美洲的交付中心。我们因规模小、速度快、资深人员多而著称。我们的团队平均拥有15年以上经验。我们行动迅速，注重细节，打造真正能交付的产品。
职位概述
我们正在寻找一位 Staff Cloud Architect 来领导跨越云、数据和AI的复杂多领域系统的设计与交付。这个职位适合一位有经验的工程师，能够定义技术战略，负责主要项目的端到端架构，并在各团队中提供技术领导力。
在这个职位上，你将作为嵌入交付的技术领导者，在跨职能团队中工作，定义云基础设施、数据平台和AI/ML工作负载的架构。你将作为复杂问题的技术升级点，指导中级工程师，与领导层合作确定技术方向，并确保系统具备可扩展性、安全性且经久耐用。
为什么这个职位很重要
在 Robots & Pencils，我们为人类世界设计AI系统。我们的名字就说明了一切。机器人和铅笔意味着工程与创造力的结合，因为每一个我们交付的代理都必须在真实的人类流程中发挥作用。这种平衡深深植根于我们的运营方式。
这里的每个职位都直接为这一使命做出贡献。在这里，你将塑造AI系统如何融入企业运营，如何让团队真正高速运转，以及如何让产品为客户及其服务对象创造可衡量的影响。我们在30到45天内交付生产就绪的AI。这种节奏需要那些有责任感、以专业精神领导、并对他们所署名的工作充满热情的人。
查看英文原文
Staff Cloud Architect
APPLICATIONS FROM OUTSIDE CANADA & THE US WILL NOT BE CONSIDERED FOR THIS ROLE
6 month contract
Company Overview
Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.
We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship.
Position Overview
We’re looking for a Staff Cloud Architect to lead the design and delivery of complex, multi-domain systems spanning cloud, data, and AI. This role is ideal for an experienced engineer who can define technical strategy, own end-to-end architecture for major engagements, and provide technical leadership across teams.
In this role, you will work as a delivery-embedded technical leader on cross-functional teams, defining architecture across cloud infrastructure, data platforms, and AI/ML workloads. You’ll act as a technical escalation point on complex challenges, mentor mid-level engineers, partner with leadership on technical direction, and ensure systems are scalable, secure, and built to last.
Why This Role Matters
At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.
Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.
What You’ll Do
Craft & Delivery
· Define technical strategy and lead architectural design across cloud, data, and AI/ML systems for end-to-end engagements
· Architect scalable cloud-native solutions, including multi-cloud and hybrid strategies (e.g., AWS, Azure, GCP, Kubernetes)
· Design data architectures including warehouses, data lakes, and pipelines for batch and streaming workloads (e.g., Snowflake, Redshift, BigQuery, Spark, Kafka)
· Design AI/ML systems including model serving, MLOps pipelines, feature stores, and LLM-based applications (e.g., SageMaker, Vertex AI, MLflow, Hugging Face)
· Define infrastructure as code, CI/CD, and DevOps standards across engagements (e.g., Terraform, CloudFormation, GitHub Actions)
· Drive performance, scalability, cost, and reliability optimization across deployed systems
· Ensure architecture meets security, governance, and compliance requirements (e.g., GDPR, HIPAA, SOC2)
· Lead cloud migrations and platform modernization initiatives
· Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace
Collaboration & Communication
· Partner with leadership and clients on technical direction, translating business goals into architectural decisions
· Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike
· Engage closely with engineering, data, AI, and product teams to align architecture with broader business priorities
· Develop and maintain architecture documentation, standards, and guidelines
Leadership & Influence
· Establish architectural standards and best practices that lift quality and consistency across the team
· Mentor junior and mid-level engineers, helping them grow their architectural thinking and craft
· Act as a technical escalation point on complex architectural and integration challenges
· Evaluate emerging technologies and recommend tools, frameworks, and patterns that improve architecture over time
What You’ll Bring
· 8+ years of experience in software engineering, with at least 3 years in architecture or technical leadership roles
· Deep expertise in cloud platforms and cloud-native architectures (e.g., AWS, Azure, GCP)
· Strong background in microservices, serverless, containers, and event-driven systems (e.g., Kubernetes, Docker, Lambda, EventBridge)
· Proficiency with infrastructure as code and CI/CD (e.g., Terraform, CloudFormation, Pulumi, GitHub Actions)
· Strong data architecture expertise across relational, NoSQL, and big data systems (e.g., PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, Kafka)
· Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration (e.g., Airflow, Prefect, dbt)
· Strong experience designing AI/ML systems for production, including LLMs, MLOps, and model serving (e.g., SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, TensorFlow)
· Solid understanding of networking, security, identity, and access management in cloud environments
· Experience with governance, compliance, and observability frameworks
· Strong software engineering skills (Python, APIs, containerization)
· Demonstrated leadership and technical mentoring experience
· Strong stakeholder communication skills, with the ability to translate technical depth across audiences
· Demonstrable usage of AI-forward tools such as Claude and Cursor
· Multi-cloud architecture experience, AI ethics or responsible AI experience, or enterprise architecture certifications (e.g., TOGAF, AWS/Azure/GCP) is a plus
Helpful Extras and Unique Skills
You’ll Do Well Here if You Are
·
A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.
·
A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.
·
Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.
·
Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.
·
Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
·
All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
·
Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
·
Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.
The below range reflects the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. The salary range for this role is $53. - $74 per hour. CAD. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.
An offer of employment may be conditional upon successful completion of a background check in accordance with local legislation and our candidate privacy notice. Your current employer will not be contacted without your permission. We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
Originally posted on Himalayas