Infrastructure and AI Engineer
We are seeking a highly skilled engineer to lead the design, implementation, and maintenance of our AI-powered SaaS marketplace's backend infrastructure.
Responsibilities
- Design and implement scalable, secure, and reliable cloud architecture.
- Develop and deploy CI/CD pipelines using AWS CodePipeline and GitOps automation.
- Lead the development and deployment of AI/ML infrastructure utilizing AWS SageMaker and open-source alternatives.
- Evaluate and implement cost-effective open-source solutions for monitoring, logging, and observability.
Ideal Candidate Profile
- Expert-level knowledge of cloud infrastructure, specifically AWS.
- Extensive experience with IaC tools like Terraform, Pulumi, and AWS CDK.
- Familiar with ML pipelines, GPU workloads, AutoML, inference serving, and model versioning.
- Strong skills in Docker, Kubernetes, CI/CD best practices, and AIOps tooling.
- Excellent leadership and communication skills for managing technical teams and aligning with business goals.
Deliverables and KPIs
- Deliver high-quality infrastructure designs and implementations.
- Meet or exceed key performance indicators.
- Participate in regular performance reviews and provide feedback for continuous improvement.
Job Highlights
- Leading the backend infrastructure for AI-powered SaaS marketplace.
- Focus on scalable, secure cloud architecture.
- Emphasis on automation and cost optimization.
Note: Please customize the 'Job Highlights' section based on specific highlights or unique selling points of the position.