AI Platform Dev Ops Engineer

What You'll Do

• Cloud & Platform Infrastructure (IaC): Deploy and maintain scalable and secure Cloud workspaces for AI enablement on AWS infrastructure (VPC, PrivateLink, IAM, S3, Lambda, EKS, and Fargate) using Terraform • Architecture guidance: Provide architectural oversight and technical guidance to engineering teams • Unity Catalog Implementation: Automate the governance layer, including metastore configuration, external locations, and access controls within Unity Catalog. • Security & Compliance: Ensure the platform adheres to enterprise security standards by managing implementing cloud infrastructure and data protection automated security controls. • Workspace Lifecycle Management: Use Terraform for end-to-end workspace provisioning, ensuring consistent setup across Dev, Acc, and Prod environments. • Governance & Cost Control (Policies): Design and implement policies and guardrails to enforce standards • Identity & Access Automation: Automate assignment of permissions using Terraform.
• Manage Service Principals for pipelines and map groups to specific Workspace roles and Unity Catalog grants. • DevOps & Automation (CI/CD) • Pipeline Architecture: Oversee GitLab CI/CD pipelines for data and GenAI projects with automated workflows. • Release Management: Implement branching strategies, code review policies, and environment promotion rules (Dev → Acc → Prod). • Service Organization & Operations • Observability: Configure monitoring, alerting, and logging (using system tables or integration with tools like CloudWatch) to ensure platform stability. • Support & Incident Management: Serve as an escalation point for platform-related incidents. • Knowledge Sharing: Document best practices and conduct workshops to upskill data engineers on effective platform usage. • FinOps: Optimize resource allocation, scalability, and cost-efficiency.
• Job Qualifications: • Bachelor’s in computer science, software engineering, mathematics, or related field. • Core cloud competencies, cross-platform technical skills, and ability to think strategically. • Ability to convert business needs into technical solutions using the AWS Well-Architected Framework best practices. • Expertise in Cloud networking; Security and Compliance; Automation and DevOps (CI/CD, Jenkins, Gitlab etc.); Containerization (Docker) and Orchestration (Amazon EKS); Monitoring and Logging; and Cloud infrastructure Optimization for optimal FinOps. • 5+ years industry experience in Data Engineering, Cloud Infrastructure, or DevOps; 3+ years with AWS in enterprise settings. • Advanced Terraform skills for managing Cloud infrastructure and AWS resources • Extensive AWS portfolio knowledge. • Excellent communication, documentation, mentoring, and collaboration skills.
• More information about NXP in India... #LI-29f4