Staff Cloud Architect – L4

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Develop the technical strategy and oversee architectural design across cloud, data, and AI/ML systems for comprehensive engagements.

• Design scalable cloud-native solutions, incorporating both multi-cloud and hybrid approaches.

• Create data architectures that encompass data warehouses, data lakes, and both batch and streaming pipelines.

• Construct AI/ML systems, which include model serving, MLOps pipelines, feature stores, and applications based on large language models (LLMs).

• Establish standards for infrastructure-as-code, CI/CD, and DevOps practices.

• Enhance performance, scalability, cost-efficiency, and reliability.

• Ensure that the architecture adheres to security, governance, and compliance standards.

• Lead initiatives for cloud migrations and modernization of platforms.

• Utilize AI-oriented tools such as Claude and Cursor to efficiently produce high-quality work.

• Collaborate with leadership and clients to set technical direction and align architectural decisions with business objectives.

• Convey complex technical ideas to both engineering and non-engineering stakeholders.

• Work together with engineering, data, AI, and product teams.

• Create and sustain documentation, standards, and guidelines for architecture.

• Set architectural standards and best practices.

• Guide junior and mid-level engineers through mentoring.

• Serve as a technical escalation point for intricate architectural and integration issues.

• Assess emerging technologies and suggest tools, frameworks, and design patterns.

⛳️ Requirements

• A minimum of 8 years in software engineering, with at least 3 years in architecture or technical leadership roles.

• Extensive knowledge of cloud platforms and cloud-native architectures, including AWS, Azure, and GCP.

• Strong foundation in microservices, serverless computing, containers, and event-driven systems, specifically Kubernetes, Docker, Lambda, and EventBridge.

• Expertise in infrastructure as code and CI/CD, including Terraform, CloudFormation, Pulumi, and GitHub Actions.

• Robust data architecture knowledge across relational, NoSQL, and big data systems, such as PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, and Kafka.

• Practical experience with data modeling, ETL/ELT pipelines, and orchestration tools like Airflow, Prefect, and dbt.

• Significant experience in designing production AI/ML systems, including LLMs, MLOps, and model serving.

• Strong comprehension of networking, security, identity, and access management within cloud environments.

• Familiarity with governance, compliance, and observability frameworks.

• Proficient software engineering abilities in Python, APIs, and containerization.

• Proven leadership and technical mentoring experience.

• Excellent communication skills with stakeholders, adept at translating technical depth for diverse audiences.

• Active use of AI-forward tools such as Claude and Cursor.

• Experience in multi-cloud architecture, AI ethics or responsible AI practices, or relevant enterprise architecture certifications is advantageous.

• Applications from candidates outside Canada and the US will not be accepted.

• A background check may be required in accordance with local laws.

🏝️ Benefits

• Paid time off.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• 401(k) plan for eligible employees.

• Background check subject to local legislation and candidate privacy notice.

• Equal employment opportunities.