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 and offers a hybrid work model.
English proficiency is a must.
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: Populate usage databases and integrate them with organizational statistics. Create dashboards and usage reports to provide insights 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.
- 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
- 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.
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