Senior Infrastructure Engineer

We are looking for a Senior Infrastructure Engineer with strong AWS cloud infrastructure expertise to join a high-impact engineering team supporting scalable analytics and ML-driven environments. This role will focus on designing, provisioning, automating, and optimizing cloud infrastructure while partnering closely with Data Engineering, Decision Science, and Development teams.Key Responsibilities:• Manage and optimize AWS cloud environments across compute, networking, data, and security• Design and provision infrastructure using Terraform for analytical and ML workloads• Build and maintain scalable infrastructure standards, patterns, and best practices• Support observability initiatives including monitoring, logging, alerting, and SLOs• Troubleshoot production incidents and drive resolution efforts• Implement cloud cost optimization and FinOps best practices• Maintain AWS networking components including VPCs, subnets, security groups, load balancers, and DNS• Collaborate with engineering teams to deploy and operationalize applications and data solutions• Support scalable and automated data processing environmentsRequired Qualifications:• 5+ years of experience in cloud infrastructure and systems engineering• Strong hands-on experience with AWS in production environments• Expertise with Terraform and Infrastructure as Code practices• Experience with Docker and Kubernetes• Strong Linux administration skills• Experience with CI/CD and DevOps tooling such as GitLab or Airflow• Strong understanding of AWS networking and IAM security best practices• Experience with relational databases including MySQL, MariaDB, or PostgreSQL• Experience supporting large-scale data environments• Strong communication and cross-functional collaboration skillsPreferred Qualifications:• Advanced Terraform expertise including module development and state management• AWS AI/ML services experience such as Bedrock or SageMaker• AWS Solutions Architect Certification• Experience with Datadog, New Relic, or CloudWatch• Snowflake and NoSQL database experience• Exposure to Azure or GCP environments• Experience supporting ML or data science workloads