Platform Engineer

Overview

The Platform Engineer will be responsible for both automating the daily operations of Millenniums suite of AI tools and supporting the efficient onboarding of thirdparty applications to the organizations systems. This role focuses on creating streamlined systems integrating usage data and facilitating crossteam 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 crossteam comparisons.

The Platform Engineer will be a crucial asset in ensuring the efficient and effective operation of Millenniums suite of AI tools and thirdparty applications contributing to the organizations overall productivity and innovation.

Our Israel office is located in the Bursa area of Ramat Gan.

English proficiency is a must.

Key Responsibilities

• Onboarding and Integration: Facilitate the onboarding of thirdparty AI applications to Millenniums systems ensuring a smooth and timely setup.
• Project Coordination: Collaborate with crossfunctional 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 AItool 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 thirdparty tools using Terraform or similar technologies.
• Productivity Reporting: Collect developer statistics necessary for creating DORA and SPACE productivity reports.
• CrossTeam Collaboration: Work with teams to improve their systems for better usage data capture normalizing data to allow crossteam 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
• Bachelors 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 infrastructureascode 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 crossfunctional 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.