Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Required Skillsets:
• 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments. Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM Required Skillsets:
• 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments. • Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting. • Working experience with at least one additional language or ecosystem such as Java, .NET, Groovy, or Node.js. • Hands-on AWS experience designing or operating production workloads. • Practical knowledge of AWS IAM, including roles, policies, trust relationships, cross-account access, least privilege, and service-to-service authentication. • Production experience building and deploying containers with Docker and a container platform such as Kubernetes, Amazon ECS, or Amazon EKS. • Experience building or integrating AI/LLM-based tools or agents in production or near-production environments. • Strong understanding of LLMOps concepts: prompt management, tool use, agent architectures, evaluation, observability, and reliability. • Experience with Git-based workflows, build automation, and release pipelines at scale. • Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments. • DevSecOps mindset — security is a design constraint, not a checklist item. Good to Have Skills:
• Experience with AWS services such as EKS, ECS, ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, and VPC. • Experience with Terraform, CloudFormation, or AWS CDK. • Experience designing multi-account AWS environments and implementing enterprise identity and access patterns. • Familiarity with Kubernetes operations, Helm, service accounts, ingress, networking, and workload security. • Experience integrating AI into developer platforms or enterprise tooling, rather than only building standalone applications. • Prior work on agentic orchestration frameworks such as LangChain, LlamaIndex, or custom toolchains. • Experience enabling DevOps practices across multiple teams or business units. • Agile delivery experience using Scrum, Kanban, or SAFe. Roles and Responsibilities:
• You build things and share them — your coaching is your working code, your pipelines, your agents, and your reusable platform patterns. • You think in systems: you understand the downstream effects of cloud, identity, container, and automation decisions. • You're comfortable in ambiguity and can define the right problem before solving the wrong one. • You have strong opinions on automation, reliability, security, IAM, and operational simplicity — and can defend them with evidence. • You learn fast, experiment deliberately, and know when to stop experimenting and ship. • You understand that secure defaults, clear ownership, and good developer experience are essential to platform adoption.
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• 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments. Cloud Platform Engineer – AWS, Python, DevOps & AI/LLM Required Skillsets:
• 3–5+ years of hands-on CI/CD, cloud, and platform engineering experience in enterprise environments. • Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting. • Working experience with at least one additional language or ecosystem such as Java, .NET, Groovy, or Node.js. • Hands-on AWS experience designing or operating production workloads. • Practical knowledge of AWS IAM, including roles, policies, trust relationships, cross-account access, least privilege, and service-to-service authentication. • Production experience building and deploying containers with Docker and a container platform such as Kubernetes, Amazon ECS, or Amazon EKS. • Experience building or integrating AI/LLM-based tools or agents in production or near-production environments. • Strong understanding of LLMOps concepts: prompt management, tool use, agent architectures, evaluation, observability, and reliability. • Experience with Git-based workflows, build automation, and release pipelines at scale. • Hands-on experience with Infrastructure as Code, configuration management, and cloud-native deployments. • DevSecOps mindset — security is a design constraint, not a checklist item. Good to Have Skills:
• Experience with AWS services such as EKS, ECS, ECR, Lambda, Bedrock, CloudWatch, S3, Secrets Manager, Systems Manager, and VPC. • Experience with Terraform, CloudFormation, or AWS CDK. • Experience designing multi-account AWS environments and implementing enterprise identity and access patterns. • Familiarity with Kubernetes operations, Helm, service accounts, ingress, networking, and workload security. • Experience integrating AI into developer platforms or enterprise tooling, rather than only building standalone applications. • Prior work on agentic orchestration frameworks such as LangChain, LlamaIndex, or custom toolchains. • Experience enabling DevOps practices across multiple teams or business units. • Agile delivery experience using Scrum, Kanban, or SAFe. Roles and Responsibilities:
• You build things and share them — your coaching is your working code, your pipelines, your agents, and your reusable platform patterns. • You think in systems: you understand the downstream effects of cloud, identity, container, and automation decisions. • You're comfortable in ambiguity and can define the right problem before solving the wrong one. • You have strong opinions on automation, reliability, security, IAM, and operational simplicity — and can defend them with evidence. • You learn fast, experiment deliberately, and know when to stop experimenting and ship. • You understand that secure defaults, clear ownership, and good developer experience are essential to platform adoption.
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Reference: WJ-3875_12938302