Platform Engineer

Platform Engineer

Overview

The Platform Engineer will be responsible for both automating the daily operations of Millennium's suite of AI tools and supporting the efficient onboarding of third-party applications to the organization's systems. This role focuses on creating streamlined systems, integrating usage data, and facilitating cross-team collaboration to drive continuous improvement and adoption. Additionally, the Platform Engineer will play a key role in productivity reporting by collecting and normalizing data to allow for cross-team comparisons.

The Platform Engineer will be a crucial asset in ensuring the efficient and effective operation of Millennium’s suite of AI tools and third-party applications, contributing to the organization’s overall productivity and innovation.

Our Israel office is located in the Bursa area of Ramat Gan.
This role will be on-site.

As a global firm, proficiency in English is required.

Key Responsibilities

• Onboarding and Integration: Facilitate the onboarding of third-party AI applications to Millennium’s systems, ensuring a smooth and timely setup.
• Project Coordination: Collaborate with cross-functional teams, including Core DevOps, Cloud Security, and InfoSec, to secure necessary approvals and integrate AI systems seamlessly.
• Data Integration and Reporting: Create dashboards, reports, and Python data pipelines to provide insights into AI-tool usage metrics and organizational statistics to management at various levels.
• Automation: Automate daily operational tasks related to the management and maintenance of AI tools to ensure streamlined processes and increased efficiency.
• System Architecture: Architect and implement cloud environments to streamline integration of new AI tools.
• Research Environments: Assist in the deployment of isolated research environments for evaluating new third-party tools using Terraform or similar technologies.
• Productivity Reporting: Collect developer statistics necessary for creating DORA and SPACE productivity reports.
• Cross-Team Collaboration: Work with teams to improve their systems for better usage data capture, normalizing data to allow cross-team comparisons.
• Issue Identification and Resolution: Identify common pain points within the system and take proactive measures to remedy them. Document solutions to streamline subsequent onboarding processes.

Qualifications

• Minimum 4 years of experience as a Platform Engineer/Cloud Engineer/Infrastructure Engineer.
• Proficiency in Python
• Bachelor's degree in Computer Science, or a related field.
• Strong expertise in automation and scripting to streamline operational tasks.
• Experience with data integration and the creation of dashboards and reports.
• Proficiency in Terraform or similar infrastructure-as-code tools.
• Knowledge of entitlement management and system architecture principles.
• Familiarity with collecting and analyzing developer productivity metrics.
• Strong project management skills with the ability to drive projects to completion.
• Experience coordinating with diverse tech teams such as DevOps, security, and InfoSec.
• Proficiency in identifying and troubleshooting system issues.
• Ability to document processes and solutions clearly and concisely.

Preferred Skills

• Experience writing data pipelines and REST services along with related technologies
• Interest and/or background in AI systems and their operational requirements.
• Experience with database management and data visualization tools.
• Understanding of DORA and SPACE productivity metrics and reporting.
• Ability to collaborate with cross-functional teams to ensure seamless tool adoption and integration.
• Strong analytical skills to interpret usage data and derive actionable insights.
• Familiarity with cloud environments, particularly VPC.