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Cloud Platform Engineer – AWS, Python, DevOps & AILLM
Job Location:
Monthly Salary:
Experience Required:
Posted:
15 September 2026 (2 days ago)
Posted:
Application Deadline:
13 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Cloud Platform Engineer AWS Python DevOps & AI/LLM
Required Skillsets:
35 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 Groovy or .
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.
Youre 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.
Required Skills:
Sailpoint
