Staff Cloud Architect L4

United StatesRemoteFull-timelead

EngineeringSoftware Architect

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Quick Summary

Overview

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.

Technical Tools

EngineeringSoftware Architect

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.

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

~2 min read

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.