Senior Infrastructure Engineer - AI / ML

Design, deploy, and maintain  scalable and secure infrastructure  supporting AI and ML workloads.

Build and maintain  AWS cloud environments  for compute (EC2, ECS / EKS, Lambda), storage (S3, EFS, FSx), and networking (VPC, Transit Gateway, PrivateLink, Route 53, load balancers).

Implement  security best practices  using IAM, KMS, Secrets Manager, GuardDuty, and Security Hub.

Support and optimize  AI / ML workloads  across AWS services (SageMaker, Bedrock, Batch, Step Functions).

Develop and maintain  Infrastructure as Code (IaC)  using Terraform, AWS CDK, and CloudFormation.

Manage  containerized workloads  and orchestration platforms (Docker, EKS, Fargate), including GPU scheduling and scaling.

Set up and maintain  monitoring and observability  frameworks using CloudWatch and OpenTelemetry.

Build and manage  CI / CD pipelines  (CircleCI, GitHub Actions, GitLab CI) for infrastructure automation and ML / Gen AI deployments.

Collaborate with  ML and Generative AI teams  to scale models, optimize performance, and design efficient prompt or inference pipelines.

Develop  runbooks  and  SOPs  for AI service deployment, troubleshooting, and performance optimization.

Ensure  security, compliance, and data protection  across AI datasets and environments.

Required Skills & Experience

Strong proficiency in  Linux administration  and systems-level troubleshooting.

Deep expertise in  AWS cloud services , with experience in compute, storage, networking, and security domains.

• Proficiency in  container orchestration  (Kubernetes / EKS) and  infrastructure automation  tools.

Hands-on experience with  IaC tools  such as Terraform, AWS CDK, or CloudFormation.

Familiarity with  monitoring, logging, and observability  stacks (Prometheus, Grafana, OpenTelemetry).

Experience implementing  CI / CD pipelines  for automated deployment and testing.

Understanding of  AI / ML concepts , including model deployment, inference scaling, and LLM performance tuning.

Working knowledge of  security best practices , IAM roles, encryption, and compliance controls.

Excellent  collaboration and communication  skills to partner with ML engineers, data scientists, and product teams.

Education :

We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.