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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

Define and execute cloud-native sales strategies to drive adoption and revenue growth within key accounts.
Build, lead, and inspire a high-caliber sales team focused on delivering value-based solutions that address client digital transformation goals.
Lead a sales team dedicated to Cloud Native
Train the team to reach goals and much more.
Cultivate deep, consultative relationships with C-level executives, architects, and line-of-business stakeholders to position Oracle as a cloud-native innovation partner.
Partner with OCI engineering, product, and marketing teams to develop targeted go-to-market campaigns and customer engagement strategies.
Lead complex sales cycles-from opportunity identification and scoping to proposal development, negotiation, and closing.
Stay up to date on OCIs evolving cloud-native suite and broader market trends to effectively evangelize Oracle's unique value proposition.
Represent Oracle and OCI at key industry events, customer forums, and strategic engagements.
Ensure sales activities comply with internal policies and relevant external regulations.

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.

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We are looking for an IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures (decoder-only, mixture-of-experts) end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

We are seeking an experienced engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models.

Key job responsibilities
Be a senior engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use our internal CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.

As a Software Engineer in our NoSQL and in-memory computing platform team, you will lead the software development of large-scale, distributed in-memory storage platform with sub-millisecond latency. You will leverage open source technologies like Valkey, Memcached, and our proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery.

In this role, you will have oversight of all things technical, own significant portions of the product, and serve as a mentor for other engineers in their areas of work. As software Enginee, you will helping define the product features, drive system architecture, and spearhead best practices. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.

Our team focuses on developing products to allow for personalizing the customers experience and providing them with real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield and large-scale engineering and science projects.

Key job responsibilities
- Own architecture and feature development for our Personalization and CV/ML teams.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Utilize data science and ML to develop products that deliver great experiences for customers.
- Tackle complex technical challenges across the stack - from data pipelines to large scale services.

As a Sr. Software Engineer in our NoSQL and in-memory computing platform team, you will lead the software development of large-scale, distributed in-memory storage platform with sub-millisecond latency. You will leverage open source technologies like Valkey, Memcached, and our proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery.

In this role, you will have oversight of all things technical, own significant portions of the product, and serve as a mentor for other engineers in their areas of work. As the key member of the engineering team, you will have a significant influence on our overall strategy by helping define the product features, drive system architecture, and spearhead best practices. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.

Join the family and take part in the development of next generation products that will define the future of the cloud domain. Our looking for talented engineers to help us develop the semiconductor platform which is based on revolutionary architecture.

Youre invited to take part in developing, integrating and deploying technologies. Starting from the identification and definition of project requirements, feature development and deployment, to operational support on a very large scale.

Your code will run on millions of servers worldwide as part of the nitro system- few software engineers in the industry have a similar opportunity to create code that runs at such a scale. As part of your role, you will be a member of a team that develops new firmware including boot loaders, trust zone, and other secure components. You will also be responsible to supporting and improving existing SW components currently in use at AWS.

**Application must have grades sheet attached**

As the Director of AI Enablement, you will be a key executive leader, visionary, and the driving force behind the adoption and integration of cutting-edge AI technologies across our company. Your mission is to head an engineering and innovation group that keeps the company at the absolute forefront of the AI revolution, systematically leveraging GenAI, automation, and agentic workflows to radically accelerate our organizational velocity and capabilities.

We are looking for an experienced group manager, someone with an entrepreneurial spirit, a bold vision, and the executive leadership skills to drive AI-stack change. Leading a talented group of engineering specialists, you will act as our chief scout and architect for internal AI innovation. You will evaluate emerging AI tools in the market, discover what truly works, listen closely to our employees' workflows, and lead the end-to-end implementation of AI solutions that redefine how we operate .

As part of your work you will be responsible for:

Group Leadership & People Management: Direct, mentor, and scale a high-performing group (including pod leads and specialists), fostering innovation and execution excellence.
Drive our AI Strategy & Vision: Define the high-level roadmap to embed GenAI and advanced AI tooling into our day-to-day operations and ecosystems.
Entrepreneurial Project Execution: Act as a "builder" - conceptualizing raw ideas into concrete AI projects and pushing them from fast PoCs to full operational deployment. Continuously research global AI tools and autonomous agent frameworks.
Listen to Our Teams & Identify Needs: Partner with internal teams to understand workflows and bottlenecks, turning feedback into actionable AI initiatives that boost efficiency.
Cross-Functional & Matrix Leadership: Drive AI adoption and cultural transformation by building alignment across R&D, Product, Operations, and Business units.

You'll design and build features that shape how hundreds of millions of customers discover products. The problems here are genuinely novel - we're defining how LLMs integrate into real-time recommendation experiences, not applying established playbooks. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This team values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence, not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating for engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate features for a personalized recommendation system used by multiple teams and operating at our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

Our SAP Department is seeking a SAP EWM Project Manager. We are looking for an experienced SAP EWM Project Manager to lead the implementation of a new logistics center (distribution center) and drive end-to-end SAP EWM project activities, from planning and design through deployment and stabilization. This role requires strong expertise in SAP EWM, logistics and warehouse management processes, stakeholder management, and complex project delivery within enterprise environments. A full-time, hybrid position, based in the Central District of Israel. Key Responsibilities:
* Lead the end-to-end implementation of SAP EWM solutions for a new logistics center.
* Manage project scope, timelines, budgets, risks, and deliverables.
* Collaborate with business stakeholders, logistics teams, IT teams, and external vendors to ensure successful project execution.
* Oversee system design, testing, deployment, user adoption, and post-go-live support.
* Coordinate cross-functional teams and drive alignment between business requirements and SAP solutions.
* Monitor project progress, resolve issues, and provide regular status updates to management.
* Ensure implementation follows best practices and supports operational efficiency within warehouse and logistics processes.