
Cloud Automation Architect
Overview
Responsible for architecting and implementing enterprise-scale cloud automation solutions across AWS, Azure, and VMware environments. Design automated infrastructure provisioning, configuration management, CI/CD pipelines, and observability-driven self-healing systems. Ensure compliance with security standards and integrate with ITSM workflows.
What You'll Do7
- 1Design and maintain enterprise-grade Ansible playbooks, roles, and collections for automating OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments.
- 2Architect serverless and event-driven automation using AWS Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager, with cross-account automation and IAM boundaries aligned to CIS, NIST, and AWS Well-Architected standards.
- 3Develop and own custom Helm charts for multi-environment Kubernetes deployments, managing the full lifecycle including upgrades, rollbacks, and canary releases, and drive GitOps adoption using ArgoCD or Flux.
- 4Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls, with CI/CD pipelines for IaC using GitHub Actions or Azure DevOps including automated testing, linting, drift detection, and policy enforcement.
- 5Automate security compliance including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store.
- 6Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers and build self-healing routines that detect, diagnose, and resolve incidents automatically to reduce MTTR.
- 7Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes, mapping operational runbooks to ITSM workflows.
Requirements7
- 18+ years of total IT experience with at least 6-7 years of hands-on infrastructure automation in enterprise environments.
- 2Expert-level Ansible engineering including advanced Jinja2 templating, dynamic inventory, custom module development, and enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments.
- 3Strong Kubernetes and Helm expertise including custom Helm chart authoring, multi-environment lifecycle management, namespace management, RBAC, secrets, network policies, and GitOps adoption via ArgoCD or Flux.
- 4Deep Terraform knowledge including reusable module design for AWS networking, IAM, EKS, ECS, RDS, and security controls, with CI/CD integration (GitHub Actions or Azure DevOps) and automated testing, linting, drift detection, and policy enforcement.
- 5Solid AWS architecture knowledge including serverless and event-driven automation (Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards.
- 6Experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store.
- 7Proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end.
Who Should Apply
An experienced cloud automation architect with 8+ years in infrastructure automation, expert in Ansible, Terraform, Kubernetes, and AWS. Proven ability to design enterprise-grade automation frameworks, implement CI/CD pipelines, and enforce security compliance. Strong scripting skills and experience with observability and self-healing systems.
Salary Insight
Open to discussion
Location
Required Skills
Application Tip
Highlight your experience with enterprise Ansible and Terraform modules in your resume, and provide concrete examples of automated self-healing implementations and security compliance automation.
See NearSkill jobs more often in your search
How your application is processed
1Application received
Your resume and details are logged the moment you apply.
2ATS + eligibility screening
We check your profile against the role’s skills, seniority, and requirements.
3Employer sees qualified profiles only
Only candidates who clear screening move forward.
Similar open positions
Explore active roles that match your skills and interests.

Micro1
VerifiedCloud Architect
In this contract role, you'll put your cloud architecture expertise to work helping train next-generation AI systems. By reviewing designs, building automation, and ensuring security best practices, you'll provide high-quality real-world input that directly shapes how models learn and reason. This is a chance to apply your cloud infrastructure knowledge in a cutting-edge AI context.

Talentxo
VerifiedLead / Senior AWS Solution Architect
This role owns the entire AWS practice end-to-end, from pre-sales discovery and solutioning through implementation, migration, and post-go-live support. You will lead and mentor the AWS delivery team, manage the AWS Partner relationship, and serve as the primary technical contact for customers. It is a hands-on leadership position requiring deep expertise in AWS architecture, migration, and operations.

Micro1
VerifiedTechnical Architect for Production Platform Engineering
A contractor role focused on platform engineering for next-generation AI systems. You’ll craft real-world, production-grade cloud scenarios to test how models learn, reason, and operate. Your guidance shapes how reinforcement learning environments evaluate design, deployment, security, and recovery across distributed infrastructure. Prior AI experience isn’t required; deep hands-on production expertise and domain knowledge take precedence. Boldly apply your cloud and distributed systems expertise to build deterministic tests and reusable environments.

Micro1
VerifiedAWS Engineer
This role is all about designing and managing cloud infrastructure on AWS while helping train next-generation AI systems. You'll apply your deep AWS expertise to ensure scalable, reliable, and secure environments — no prior AI experience required, just your domain knowledge. As a remote contractor, you'll work with core services like EC2, S3, RDS, IAM, and VPC, automate with Terraform or CloudFormation, and keep everything running smoothly via CloudWatch and scripting in Bash and Python.

Micro1
VerifiedInfrastructure Engineer
We're looking for an experienced Infrastructure Engineer to build and manage the cloud and on-prem systems that power the next wave of AI model training. In this contract role, you'll apply your deep technical know-how to help shape how AI learns and performs—no prior AI experience required, just your expertise in infrastructure.

Micro1
VerifiedDirector of Infrastructure Engineering for Multi‑Cloud Platform
The role leads the architecture and evolution of a multi-cloud platform spanning AWS and GCP to support production AI systems. You will own the cloud strategy, developer experience, and reliability practices, ensuring security, observability, and resilience as the team grows. This is a hands-on leadership position that blends long‑term infrastructure planning with incident resolution and mentoring engineers. You’ll drive automation, platform tooling, and security-by-default across the organization, balancing speed with risk management.

