Aws Platform Engineer Sr

• Maintain and enhance cloud infrastructure that supports data science, analytics, and machine learning workloads across the platform
• Build and release new environments through automated delivery pipelines, enabling scalable and repeatable deployments for technical teams
• Administer large, multi-environment AWS landscapes and prepare the platform to support expanding business and engineering needs
• Establish and oversee image lifecycle practices to improve consistency, governance, and operational stability across hosted environments
• Configure and manage AWS accounts dedicated to the data science ecosystem while applying appropriate access controls and platform standards
• Use tools such as Azure DevOps and Terraform to automate provisioning, deployment, and ongoing infrastructure management
• Develop scripts and lightweight applications in Python to streamline platform tasks, integration needs, and operational support
• Support database and data access technologies including Athena, Oracle, MySQL, and PostgreSQL within cloud-based solutions
• Partner with network, database, infrastructure, and architecture teams to resolve issues, strengthen security controls, and support upgrades, patching, root cause analysis, and on-call needs

• Bachelor’s degree in Computer Science or a related technical discipline
• At least 5 years of experience supporting infrastructure for data science or advanced analytics environments
• Minimum 5 years of hands-on work with AWS services used for Data Lake, AI/ML, and data platform solutions, including tools such as SageMaker, Glue, Lambda, and Athena
• Strong experience with Kubernetes, Docker, Amazon Elastic Container Registry, and cloud-native platform operations
• Proven background in CI/CD and infrastructure automation using tools such as Azure DevOps and Terraform
• Working knowledge of security practices, vulnerability remediation, audit support, and cloud governance tools
• Experience producing technical documentation, operational runbooks, and written implementation guidance
• Familiarity with Python or shell scripting, along with database technologies such as Athena, Oracle, MySQL, or PostgreSQL
• AWS, Terraform, or Kubernetes certifications are preferred

AWS, Terraform, or Kubernetes certifications are preferred

• medical, vision, dental, and life and disability insurance
• eligibility to enroll in our company 401(k) plan