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We are looking for a DevOps & infrastructure Engineer to join our Labs team. A successful candidate will join a team of highly skilled professionals and engage with the Engineering groups activities and goals.
Responsibilities
Build, maintain, and operate on‑prem and cloud infrastructures serving internal labs and R&D related environments.
Deploy and support simulation environments that mirror customer environments using technologies such as VMware, EMC, NetApp, Tanzu Kubernetes Grid (TKG), and VRA
Work with Kubernetes (K8s) to support containerized workloads and internal engineering use cases.
Manage cloud infrastructures across AWS, GCP, and Azure for various development needs, including running POCs, simulating environments, and overseeing license and budget management.
Develop automation tools and scripts using PowerShell or other scripting languages to streamline internal processes and improve operational efficiency.
Enhance Developer Experience by building internal tools, improving development workflows, and exposing capabilities that accelerate engineering productivity.
Collaborate closely with multiple stakeholders, including development teams, support, and product managers, to ensure infrastructure meets evolving business and technical requirements.

What you'll do

Context Lake and Agentic Layer

Build and maintain Context Lake on GitHub: the structured, machine-readable repository of messaging, brand guidelines, persona profiles, competitive positioning, and use cases that every agent draws from.
Design the architecture so that when a marketer updates a file, every downstream agent immediately produces sharper output. Repo structure, file schema, naming conventions, update workflows - all of it.
Build and maintain the Agentic Layer: the skills, orchestration files, automations, and shared memory structures that power SysAid's content production and campaign workflows.
Set and enforce the quality bar for both layers. Context files that agents can't reliably read are a production bug. Treat them that way.

Data has never been more valuable, and more vulnerable. As cyber threats evolve and regulations tighten, organizations struggle to answer one key question: Is my data secure?
At our company, we take a different approach: we protect data from the inside out. Our fully autonomous Data Security Platform enables organizations to continuously reduce risk through intelligent automation, not manual effort.
Were looking for an experienced R&D Group Leader to lead the Remediation domain, owning the systems that actually fix risk at scale, from policy definition to automated execution across customer environments.
This role sits at the heart of our companys value: turning insights into real, safe, automated actions that reduce exposure across enterprise data.
We work in a flexible, hybrid model.
What Youll Do
Leadership & Ownership
Lead and grow a group of engineers responsible for Data Lifecycle Automation (DLA), policies framework, and remediation automations
Own delivery, quality, and operational excellence of production systems running at scale
Define technical direction aligned with product and business goals
Product & Impact
Drive development of customer-facing remediation capabilities (e.g., permissions cleanup, stale access removal, exposure reduction)
Partner closely with Product, Security, and Customer Success to maximize real-world risk reduction outcomes
Translate complex security problems into scalable, automated solutions
Architecture & Systems
Own the design of distributed, highly scalable microservices handling policy evaluation, recommendation generation, and action execution
Ensure high reliability for real-time / near-real-time remediation flows
Drive best practices across CI/CD, observability, testing, and system resiliency
Enhance the execution of dev velocity and efficiency of leveraging AI agents.
Execution & Scale
Manage full lifecycle: ideation → design → production → customer impact
Balance innovation with operational stability in a fast-moving SaaS environment
Lead cross-team initiatives across Platform, access, Privacy, and AI domains
People Leadership
Mentor managers and senior engineers
Build a strong engineering culture focused on ownership, quality, and impact
Recruit and develop top-tier talent.

We seek an analytically driven and strategic Revenue Operations Manager to join our team. This role will be a critical partner to our C-level executives and revenue-focused leaders, leveraging data to identify growth opportunities, optimize processes, and drive actionable insights that enhance the customer journey and revenue performance.

Key Responsibilities:

Data-Driven Insights & Analytics

Serve as a trusted advisor to C-level executives, delivering regular, actionable insights based on in-depth analysis of key revenue, customer, and operational data.
Develop and maintain revenue forecasting models and predictive analytics to proactively identify opportunities, risks, and trends.
Analyze customer behavior, pipeline performance, and market data to recommend growth and operational improvement strategies.
Create and maintain dashboards and reports that provide visibility into KPIs covering the revenue funnel as well as customer-focused metrics such as churn, retention, and upsell opportunities.

Partner with sales teams to understand client requirements and propose tailored HCM solutions.
Lead discovery sessions, workshops, and process discussions with prospects and customers.
Design process flows, solution architectures, and product demonstrations based on customer needs.
Collaborate with cross-functional teams to ensure successful solution design and delivery.
Advocate Oracles AI and Agentic AI capabilities.
Create and deliver presentations and proof-of-concepts that showcase Oracles solutions.
Support the sales cycle with RFI/RFP responses and commercial guidance.
Build trusted relationships with customers and partners and ensure strong customer satisfaction.

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 looking for talented students/engineers to help us develop the semiconductor platform which is based on revolutionary architecture. Take part in the development of cutting edge products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. Become part of the group which is responsible for development of essential components for networking and storage functionality in the biggest cloud in the world (AWS).

Learn and influence how the cloud works "behind the curtain" today and be part of the innovation that defines how it will look tomorrow - make if more secure, faster and robust. This challenging and interesting job will allow you to contribute into different domains which include embedded development, host stacks and internal services. Get involved in using of cutting edge technologies in both kernel and user space. Being part of Annapurna's SW group will help to establish connections with many other AWS groups and contribute on a company wide scale.

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**