דרושים » ייצור ותעשייה » Engineering Software Manager, AI Transformation- Platform (Idira)

Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As the Manager, youll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail - youll also be responsible for building and leading a high-impact engineering team from the ground up.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities
Lead the end-to-end development of a secure platform for managing AI agents identities, permissions, access control, and execution context.
Recruit, onboard, and mentor a team of engineers, shaping the teams culture and technical direction.
Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
Ensure your teams deliverables meet high standards of performance, resilience, and security in production.

Required Platform Team Lead
Description
Were building a modern engineering platform that helps R&D teams move faster, ship safely, and operate reliably at scale.
The Platform Team owns our AWS infrastructure and engineering platform - including cloud architecture, Kubernetes, CI/CD, observability, automation, and developer experience.
Were looking for a hands-on technical leader to scale our platform, improve engineering workflows, and build self-service capabilities that reduce engineering friction across the organization.
We treat the platform as a product for engineers, focused on reliability, usability, automation, and operational excellence.
Responsibilities
Lead and grow the Platform Team while staying deeply hands-on
Own and evolve our AWS infrastructure, production environments, and cloud operations
Drive infrastructure and platform initiatives around EKS, Lambda, CI/CD, observability, and automation
Lead the migration to GitHub Actions and improve developer experience and engineering workflows across teams
Build self-service platform capabilities, reusable tooling, and standardized engineering workflows
Partner closely with R&D teams to improve reliability, operational maturity, and platform adoption across the organization

Be a key part in the company EPM Agents group, owners of a combined solution for application control, privilege management, and threat detection. We are searching for a Team Manager to lead Cross-Platform Agents Infrastructure team in an agile-oriented environment. leading the journey to design, develop and innovate our EPM Agents.
The responsibilities will include:
Producing valuable and qualitative deliverables for our customers in a timely fashion
Providing technical authority to your team by demonstrating a hands-on leadership style
Hiring, mentoring and driving the professional growth of the team members
Overseeing the overall development, code quality, and production of the team
Permanent strive to keep the code up-to-date and at the highest quality, innovation and security levels
Working hand-in-hand with architects, product owners, and other teams to build robust solutions.

As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

As a Deputy Program Manager (DPM), you will serve as a Director-level member of the Program Management Team (PMT) and work across highly matrixed organizations to achieve program objectives. The DPM will partner closely with the Program Manager (PM), customer stakeholders, and cross-functional Oracle teams to drive execution of mission-critical initiatives in complex and dynamic environments.

The ideal candidate will bring strong leadership capabilities, experience managing complex cloud or infrastructure programs, and a proven ability to collaborate across technical, operational, and business organizations. The candidate should possess a strong understanding of cloud environments, SaaS operations, technology transformations, migrations, and the technology delivery lifecycle.

Key Responsibilities
Lead and collaborate across diverse, matrixed teams to achieve PMT objectives
Support execution of large-scale cloud and infrastructure programs for Public Sector customers
Identify, assess, and manage program risks, issues, dependencies, and opportunities across multiple lines of business
Provide recommendations to improve integration and alignment across interfacing programs and projects
Support development of program-level briefings, documentation, and decision-support materials
Drive operational consistency through development of repeatable PMT processes and best practices
Partner with customer stakeholders and internal Oracle organizations to support successful program delivery
Ensure timely delivery of contractual deliverables and overall program commitments
Lead internal and external collaboration, communication, and stakeholder engagement activities
Support program governance, operational reporting, financial tracking, and strategic planning activities

This role requires a strong operational leader with experience managing large-scale cloud environments, developing technical talent, and driving continuous improvement through automation, standardization, and data-driven decision making.

Responsibilities
Leadership

Build, lead, and develop high-performing cloud operations and site reliability engineering teams.
Establish organizational goals, priorities, and operating rhythms aligned with OCI business objectives.
Foster a culture of operational excellence, accountability, collaboration, and customer focus.
Recruit, mentor, and develop technical leaders and individual contributors.