Job Description
Role Overview:
- We are seeking a seasoned AWS DevOps Engineer to join our growing AI Platform team, responsible for building and operating the next-generation Agentic AI infrastructure that powers intelligent automation across the enterprise.
- This individual will play a key role in establishing the DevOps, security, and compliance foundations for our AWS-based AI platform — while working collaboratively with both the AI Studio engineering team and the Enterprise IT organization to ensure governance, reliability, and speed of innovation.
- The ideal candidate combines deep AWS technical expertise with a pragmatic, people-oriented approach to bridge between innovation and enterprise IT standards.
Responsibilities:
Key Responsibilities:
- Design, implement, and maintain AWS infrastructure supporting AI development, model orchestration, and agentic systems (e.g., Bedrock, Lambda, ECS/EKS, API Gateway).
- Build and manage CI/CD pipelines for AI and data applications using AWS CDK / CloudFormation / CodePipeline / Terraform.
- Implement security guardrails and compliance controls (IAM, KMS, network segmentation, audit logging) aligned with IT standards — but autonomously within the AI environment.
- Partner with the IT security and cloud teams to ensure adherence to cybersecurity insurance and data governance requirements.
- Manage monitoring, observability, and cost-optimization for AI workloads (CloudWatch, X-Ray, Config, Trusted Advisor).
- Enable rapid development cycles for the AI team by streamlining environment provisioning, model deployment, and access management.
- Serve as the bridge between AI Engineering and IT, building mutual trust through transparency, security-minded automation, and operational excellence.
- Document and evangelize best practices in DevSecOps, Infrastructure as Code, and model lifecycle management.
Qualifications:
Required Qualifications:
- 7+ years of DevOps / Cloud Engineering experience, with 4+ years on AWS in production environments.
- Proven expertise with AWS services: VPC, IAM, Lambda, ECS/EKS, API Gateway, CloudFront, S3, CloudWatch, CloudFormation/CDK, KMS, Cognito, Secrets Manager.
- Experience managing CI/CD pipelines (CodePipeline, GitHub Actions, or Jenkins).
- Strong understanding of networking, identity federation (Azure AD / Okta), and data security.
- Familiarity with AI/ML workflows (SageMaker, Bedrock, Databricks, or similar).
- Hands-on experience implementing security guardrails and compliance controls in AWS.
- Proficiency with Terraform or CDK for Infrastructure as Code.
- Excellent communication and collaboration skills — able to explain technical decisions to IT, security, and data teams.
Preferred Qualifications:
- Prior experience supporting AI or data platform teams.
- Exposure to multi-agent systems, Bedrock AgentCore, LangChain, or similar frameworks.
- Background in hybrid enterprise environments (AWS + Azure).
- AWS certifications (e.g., Solutions Architect, DevOps Engineer, Security Specialty).
Success Indicators:
- AI development team can deploy and operate independently within compliant AWS guardrails.
- IT leadership gains confidence in the AI team’s DevOps maturity and control mechanisms.
- Infrastructure and pipelines are fully automated, observable, and secure — without bottlenecks.
Summary:
This is a hands-on DevOps leadership role at the intersection of AI innovation and enterprise trust. You will empower cutting-edge AI development while ensuring the environment remains compliant, secure, and sustainable — helping shape the company’s next generation of intelligent construction technology.
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