[Remote] Cloud Architect – AI/ML for Developer Productivity (Multi-Cloud)
Note: The job is a remote job and is open to candidates in USA. Aversan Inc. is a trusted multi-service engineering and electronics manufacturing company. They are seeking a hands-on Cloud Architect to lead the development of a next-generation cloud platform that supports mission-critical SaaS solutions, integrating AI capabilities to enhance developer productivity and system intelligence.
Responsibilities
- Drive AI-Powered Developer Productivity: Architect and implement intelligent workflows across coding, testing, deployment, and debugging by integrating LLMs (e.g., GPT, Claude, CodeLlama) into code editors, CI/CD pipelines, and developer tools for smart code generation, bug detection, and automated PR reviews.
- Architect Intelligent CI/CD & Observability Systems: Design scalable multi-cloud CI/CD pipelines (ArgoCD, Jenkins, Tekton) infused with AI for predictive canary analysis, automated rollbacks, and zero-downtime deployments—enhanced by AI-driven log summarization, anomaly detection, and proactive alerting.
- Embed AI in Security & Compliance: Automate vulnerability detection and remediation with AI classifiers, generate security patches, improve IaC hygiene, and translate compliance standards (TISAX, SOC, FedRAMP, AWS GovCloud) into policy-as-code.
- Advance AI-Driven Testing & Quality Engineering: Use AI to automate test case generation, simulate load testing patterns, analyze test results, and optimize test coverage for APIs, microservices, and infrastructure components.
- Develop and Extend Reusable LLM Capabilities: Evaluate, integrate, and fine-tune internal and third-party LLMs to align with Aversan’s specific codebases, deployment architectures, and operational needs while defining APIs for reusability across business units.
- Lead Strategic Collaboration & AI Adoption: Partner with other business units to co-develop and share AI tooling, lead proofs of concept (POCs) and performance benchmarks, and promote AI/ML adoption through training, mentorship, and architectural leadership.
- Enable Self-Healing and Autonomous Infrastructure: Build intelligent, self-optimizing systems that reduce operational complexity, implement predictive maintenance, and empower platform teams with AI-driven insights for continuous reliability and performance.
Skills
- 7+ years of experience in cloud architecture, full-stack development, or platform engineering.
- 2+ years of hands-on work integrating AI/ML into engineering workflows (e.g., GitHub Copilot, Amazon CodeWhisperer, or custom LLM-based assistants).
- Proven expertise in: Cloud platforms: AWS, GCP, and Azure.
- Proven expertise in: AI agent frameworks: Amazon Strands, LangGraph, or similar.
- Proven expertise in: CI/CD pipelines: ArgoCD, Tekton, Jenkins.
- Proven expertise in: Infrastructure-as-code tools: Terraform, Crossplane.
- Proven expertise in: Full-stack technologies: React or Vue.js, Node.js, Python, Java.
- Proven expertise in: Containerized and serverless systems: Kubernetes, EKS, GKE, AWS Lambda, Cloud Run.
- Proven expertise in: Observability and monitoring: Prometheus, OpenTelemetry, Datadog, or ELK stack.
- Demonstrated ability to build or integrate AI-powered developer platforms or tools that improve engineering productivity.
- Experience collaborating across teams or business units to share models, services, or infrastructure.
- Familiarity with MLOps platforms such as MLflow, Kubeflow, or SageMaker Pipelines.
- Exposure to AI security tools, compliance automation, or FinOps optimization.
- Professional certifications such as AWS Solutions Architect, GCP Professional Architect, or Certified Kubernetes Administrator (CKA).
Company Overview
- Aversan Inc. (www.aversan.com) is a trusted multi-service engineering and electronics manufacturing company. It was founded in 2012, and is headquartered in Mississauga, Ontario, CAN, with a workforce of 201-500 employees. Its website is https://www.aversan.com.
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