Cloud Architect – AIML for Developer Productivity (Multi-Cloud)

Cloud Architect

Aversan Inc. () is a trusted multi-service engineering and electronics manufacturing company. Aversan delivers leading-edge and reliable safety-critical electronics and software systems to the aerospace defence and space industries.

We at Aversan are embarking on an exciting initiative to build a next-generation cloud platform from the ground up for our client engineered to support mission-critical SaaS solutions such as connected vehicles across AWS GCP Azure and on-premise environments. As part of this initiative were exploring collaboration across business units leveraging existing Large Language Model (LLM) capabilities to strengthen and speed up our AI integration strategy. Were seeking a hands-on Cloud Architect to lead this effortsomeone who can design and deliver intelligent self-optimizing systems and developer experiences powered by generative AI predictive analytics and automation.

Location : Canada

Job Type : Full Time

Working Arrangement : Remote

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 deploymentsenhanced 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 Aversans 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.

Basic Qualifications

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 :

o Cloud platforms : AWS GCP and Azure.

o AI agent frameworks : Amazon Strands LangGraph or similar.

o CI / CD pipelines : ArgoCD Tekton Jenkins.

o Infrastructure-as-code tools : Terraform Crossplane.

o Full-stack technologies : React or Python Java.

o Containerized and serverless systems : Kubernetes EKS GKE AWS Lambda Cloud Run.

o 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.

Nice-to-Have Qualifications

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).

Please note :

Interested applicants must apply directly to this link to be considered for this position :

The name of the file for the resume should be the applicants full name and the position title you are applying for. The resume format should be PDF.

Key Skills

APIs,Pegasystems,Spring,SOAP,.NET,Hybris,Solution Architecture,Service-Oriented Architecture,Adobe Experience Manager,J2EE,Java,Oracle

Employment Type : Full Time

Experience : years

Vacancy : 1