Staff Cloud Architect L4

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Cloud Architect L4 based in United States. This is a senior technical leadership opportunity focused on designing and delivering complex systems across cloud infrastructure, data, and AI/ML. You’ll define architecture and technical strategy for major engagements while remaining closely involved in delivery. The role combines hands-on engineering expertise with architectural leadership, stakeholder partnership, and technical mentorship. You’ll help build scalable, secure, reliable, and production-ready solutions across cloud-native and enterprise environments. You’ll also contribute to cloud modernization, AI/ML implementation, DevOps practices, and evolving architectural standards. Working remotely, you’ll collaborate with experienced cross-functional teams and help turn ambitious technical concepts into systems that create measurable business impact. Accountabilities • Define technical strategy and lead end-to-end architectural design across cloud infrastructure, data platforms, and AI/ML systems. • Design scalable cloud-native architectures, including multi-cloud and hybrid environments using platforms such as AWS, Azure, GCP, and Kubernetes. • Develop data architectures covering warehouses, data lakes, batch and streaming pipelines, and modern data platforms. • Architect production AI/ML solutions, including model-serving infrastructure, MLOps pipelines, feature stores, and LLM-based applications. • Establish infrastructure-as-code, CI/CD, and DevOps standards using technologies such as Terraform, CloudFormation, Pulumi, and GitHub Actions. • Lead initiatives focused on performance, scalability, reliability, security, governance, and cloud cost optimization. • Drive cloud migrations and platform modernization initiatives from architectural planning through delivery. • Ensure solutions align with relevant security, compliance, governance, and observability requirements, including frameworks such as GDPR, HIPAA, and SOC 2. • Partner with technical and business leadership to translate organizational goals into practical architectural decisions. • Communicate complex technical concepts clearly to engineering, product, data, AI, and non-technical stakeholders. • Develop and maintain architecture documentation, standards, patterns, and technical guidelines. • Establish engineering and architecture best practices that improve quality and consistency across teams. • Mentor junior and mid-level engineers and help strengthen their technical and architectural capabilities. • Serve as a senior escalation point for complex architectural, integration, and technical challenges. • Evaluate emerging technologies and recommend tools, frameworks, and patterns that can improve technical outcomes. • Incorporate modern AI-assisted development tools into day-to-day engineering workflows to improve productivity and quality. Requirements • 8+ years of software engineering experience , including at least 3 years in architecture or technical leadership roles . • Deep expertise in cloud platforms and cloud-native architecture, particularly AWS, Azure, or GCP. • Strong experience with microservices, serverless architectures, containers, and event-driven systems, including technologies such as Kubernetes, Docker, Lambda, and EventBridge. • Proficiency with infrastructure as code and CI/CD tools such as Terraform, CloudFormation, Pulumi, and GitHub Actions. • Strong data architecture experience across relational, NoSQL, and large-scale data systems, including technologies such as PostgreSQL, MongoDB, Snowflake, BigQuery, Spark, and Kafka. • Hands-on experience with data modeling, ETL/ELT pipelines, and orchestration platforms such as Airflow, Prefect, or dbt. • Proven experience designing and delivering production AI/ML systems, including LLM applications, MLOps, and model serving, with technologies such as SageMaker, Vertex AI, MLflow, Hugging Face, PyTorch, or TensorFlow. • Solid understanding of cloud networking, security, identity, access management, governance, compliance, and observability. • Strong software engineering capabilities, including Python, API development, and containerization. • Demonstrated experience providing technical leadership and mentoring engineers. • Strong communication and stakeholder-management skills, with the ability to translate technical concepts for audiences with different levels of expertise. • Demonstrable experience using AI-assisted development tools such as Claude, Cursor, or comparable platforms. • Ability to work with ownership, sound judgment, adaptability, and a strong focus on delivery and technical quality. • Comfortable working in fast-changing environments where requirements, technologies, and constraints can evolve quickly. • Experience with multi-cloud architecture, responsible AI or AI ethics, or enterprise architecture certifications such as TOGAF or AWS/Azure/GCP certifications is considered an asset. • Must be legally authorized to work in Canada or the United States ; applications from outside Canada and the US are not considered for this opportunity. • Willingness to complete applicable identity verification and background-check requirements as part of the hiring process. Benefits • $53–$74 CAD per hour , depending on factors such as experience, qualifications, skills, seniority, location, and business requirements. • 6-month contract with potential for extension. • Fully remote work within Canada or the US. • Opportunity to work on complex cloud, data, and AI/ML initiatives with highly experienced technical teams. • Exposure to modern technologies and production AI systems, including LLMs, MLOps, cloud-native infrastructure, and AI-assisted development. • Comprehensive benefits package for eligible employees, including paid time off and medical, dental, and vision insurance . • 401