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This role focuses on building, maintaining, and improving cloud infrastructure that enables analytics, AI/ML, and data-driven product teams to work efficiently at scale. The ideal candidate will bring strong experience in platform engineering, automation, and secure environment management across AWS-based ecosystems.
Job Responsibility:
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
Requirements:
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
Nice to have:
AWS, Terraform, or Kubernetes certifications are preferred
What we offer:
medical, vision, dental, and life and disability insurance