Job description

To Apply for this Job Click Here Summary: We are looking for a skilled Platform Engineer to join our Platform team, supporting and advancing our Data Science platform. This role focuses on building, maintaining, and scaling infrastructure that empowers Data Science and AI/ML teams. Key Responsibilities: • Maintain and support ongoing Data Science infrastructure operations. • Design, build, and deploy AWS environments using CI/CD pipelines to support a growing Data Science organization. • Manage and scale platform environments to meet evolving business and technical needs. • Own and enhance the image management lifecycle, ensuring consistency and reliability across environments. • Set up and manage AWS accounts dedicated to Data Science workloads. • Develop and maintain CI/CD pipelines using tools such as Azure DevOps. • Implement and manage infrastructure using Infrastructure as Code (IaC) tools like Terraform. • Write and maintain scripts and applications, primarily using Python. • Administer and support databases including Athena, Oracle, MySQL, and PostgreSQL. • Leverage AWS services to support Data Lake, Data Science, and AI/ML initiatives. • Troubleshoot and resolve issues raised by development and business teams. • Enforce infrastructure security, including guardrails, policies, and compliance controls. • Address vulnerabilities within defined SLAs and maintain audit logs. • Perform system upgrades, patching, and provide on-call support as needed. • Conduct root cause analysis and share findings with internal teams. • Collaborate with cross-functional teams including Network, Database, Infrastructure, and Architecture. Basic Qualifications: • Bachelor’s degree in Computer Science or a related discipline. • 2+ years of experience supporting Data Science infrastructure. • 2+ years of hands-on experience with AWS-based Data Lake, Data Science, and AI/ML services. • Working knowledge (2+ years) of: • Kubernetes • AWS services (e.g., SageMaker, Glue, Lambda, Athena) • CI/CD tools such as Azure DevOps • Infrastructure as Code tools such as Terraform • Containerization technologies including Docker and ECR • Security tools such as Aqua and Kenna • Experience producing technical documentation and write-ups. Preferred Qualifications: • AWS and/or Terraform certifications; Kubernetes certification (e.g., CKA) is a plus. • Familiarity with service management practices and product lifecycle management. • Proficiency in Python and shell scripting. • Strong knowledge of database systems such as Athena, Oracle, and MySQL. • Advanced experience with CI/CD and IaC tools, particularly Azure DevOps and Terraform. To Apply for this Job Click Here

Requirements

Must-haves

To Apply for this Job Click Here
Maintain and support ongoing Data Science infrastructure operations.
Design, build, and deploy AWS environments using CI/CD pipelines to support a growing Data Science organization.
Manage and scale platform environments to meet evolving business and technical needs.
Own and enhance the image management lifecycle, ensuring consistency and reliability across environments.
Set up and manage AWS accounts dedicated to Data Science workloads.
Develop and maintain CI/CD pipelines using tools such as Azure DevOps.
Implement and manage infrastructure using Infrastructure as Code (IaC) tools like Terraform.
Write and maintain scripts and applications, primarily using Python.
Administer and support databases including Athena, Oracle, MySQL, and PostgreSQL.
Leverage AWS services to support Data Lake, Data Science, and AI/ML initiatives.
Troubleshoot and resolve issues raised by development and business teams.
Enforce infrastructure security, including guardrails, policies, and compliance controls.
Address vulnerabilities within defined SLAs and maintain audit logs.
Perform system upgrades, patching, and provide on-call support as needed.
Conduct root cause analysis and share findings with internal teams.
Collaborate with cross-functional teams including Network, Database, Infrastructure, and Architecture.
Bachelor’s degree in Computer Science or a related discipline.

Nice-to-haves

AWS and/or Terraform certifications; Kubernetes certification (e.g., CKA) is a plus.
Familiarity with service management practices and product lifecycle management.
Proficiency in Python and shell scripting.
Strong knowledge of database systems such as Athena, Oracle, and MySQL.
Advanced experience with CI/CD and IaC tools, particularly Azure DevOps and Terraform.
To Apply for this Job Click Here

Application prep

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Keywords to mirror

aimlawsci/cdazurepythonkubernetesdocker

Platform: careers-page
Effort: medium