our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, the Migration and Modernization TL (Team Lead) will be responsible for the architecture, technology and implementation of migration and modernization solutions to production.
Your work will include leading the technological side of multiple solutions that are developed in multiple engineering teams and TL should be able to fully understand customers migration and modernization issues (working with customers and the field team) and translate these into a viable technical solution leveraging our own first-party solutions as well as third-party/partners solutions. You will be working with the various stakeholders: customers, partners, sales, delivery, product and engineering teams.our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Be part of the core team responsible for the architecture, technology, and implementation of the AI code modernization solutions.
Work closely with customers to understand legacy/mainframe modernization challenges (working with customers and the field team) and translate these into a viable technical solution leveraging to be then driven to implementation.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers, and work closely with the various stakeholders such as customers, partners, sales, delivery, and product.

We are looking for a DevOps Engineer to join our dynamic and growing team. This is an opportunity to work alongside top engineers, gain hands-on experience in production environments, and help scale secure, high-performance services used by customers around the globe. You will be part of a fast-paced, startup-like environment, with the backing and stability of a global cybersecurity leader.
Key Responsibilities
Support the deployment and maintenance of scalable, multi-tenant environments across cloud platforms
Assist in automating infrastructure using Infrastructure-as-Code tools and CI/CD pipelines
Monitor and improve the reliability, performance, and security of platform services
Collaborate with development, product, and operations teams to deliver new features and improvements
Troubleshoot infrastructure and application issues in development and production environments
Implement custom user interfaces using the latest programming techniques and technologies
Design, develop, and maintain DevOps-related microservices that support platform automation and reliability
Design and integrate agentic AI capabilities into DevOps workflows to automate decision-making, incident response, and platform operations.

we are looking for a Backend Engineer.
Youll be part of the group responsible for main products. You will impact the work of developers in the group by designing, building and maintaining the core infrastructure of our solution and leading the research and development of new technologies as well as maintaining code standards and practices.
What does the day to day of Infrastructure Engineer look like:
You will be working on core B2B platform that serves tens of thousands of customers, serving hundreds of terabytes in production. Our backend engineers are responsible for the entire data lifecycle - from our endless datatlakes, through choosing the right serving methods and databases, all the way to our api services.

Your experience at our company will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum-backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years-you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
Get ready to:
Be a part of a truly cross-functional team
Participate in product planning (From discovery all the way to deployment); We want your input at all stages of the Software Development Lifecycle!
Collaborate! Our teams work together to develop robust new features, APIs, continuously improve our industry-leading products and find and fix any bugs at our company Speed.
Ensure our customers receive a white-glove experience with our products!
What the Giger Team Does
The Giger team builds and maintains one of our companys most powerful internal platforms: a sandbox system that enables engineers to develop, test, and deploy faster than ever. Giger allows product teams to spin up fully functional, production-like environments in minutes, complete with real databases, services, queues, and storage. Each sandbox is completely isolated, empowering teams to experiment freely, test infrastructure changes, and validate code safely at scale.
What Youll Do
Design, build, and maintain the control plane that powers hundreds of dynamic developer sandboxes
Develop backend tooling and services that automate sandbox creation, orchestration, and lifecycle management
Productize and provide infra as a platform including DBs, caches, object storage and queueing systems
Scale & tune the cluster to provide capacity for volatile workloads. Youll become hands on with Karpenter/VPA/KEDA policies, right-sizing, pod density, bin-packing, and scheduling strategies for diverse, bursty workloads
Constantly track and optimize costs to be efficient. At our k8s scale all tiny decisions matter, from compute to storage and data transfer
Own the networking setup to mimic what we have in Production but pair it with greater DevEx at scale of hundreds of sandboxes - traffic routing and interception, ingress tuning, serving assets
Implement and evolve observability within sandboxes
Partner with Sandboxes SRE team to ensure uptime and reliability of hundreds of sandboxes daily
Work with our company engineering to improve their DevEx and productize day to day needs into self-service platform.

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.

Were looking for a seasoned Software Engineering Team Leader, with a strong background in infrastructure, with a focus on Development Tools, to join the companyny team. In this role, you will be a part of and infrastructure team focusing on the overall Developer Experience, with the goal of reducing friction and increasing the entire R&D organization efficiency and enable faster, more reliable and engaging development process.
Responsibilities:
Lead multiple development teams through recruitment, mentoring, and day-to-day management
Discover, define, design, build and own products and tools across the entire development process (starting from SCM, through IDE, AI agents, build, testing, environments, feature flags and all the way to continuous deployment and production metrics. And more...).
Work in collaboration with the Development and Research orgs on one side, in collaboration with DevOps and SRE, to capture requirements, identify issues and jointly resolve and deliver solutions.
Educate (yourself and the organization) about State-of-the-Art tools, techniques and methodologies which would allow us to continuously improve our R&D.
Act as an evangelist for the above initiatives, supporting adoption across Cato.

We are looking for an outstanding Senior Technical instructor to join our Education Services team. In this role, you will provide advanced training on our data center, AI, and HPC platforms to customers and partners around the world. You will also contribute to developing training content, including presentation decks, hands-on manuals, and supporting materials. You will help engineers, architects, and operations teams build the skills needed to design, deploy, and operate our-powered AI data centers with confidence. As part of this, you will take part in the design of hands-on workshops and lab environments that simulate real systems and data center components, enabling learners to practice on realistic end-to-end scenarios.

What youll be doing:

Deliver in-person and remote technical training on our data center, AI, and HPC platforms for customers and partners, with up to 25% travel as needed.

Lead lab-based training sessions that walk learners through end-to-end workflows on our GPUs, DGX/GB200 systems, high-speed networking, and AI/HPC software stacks.

Collaborate with internal experts and content developers to build agendas, exercises, and demos that reflect real customer use cases and guidelines.

Serve as a subject-matter guide (SME) for a dedicated production team and learning developers. They build primary content. Partner with them on slideware, lab guides, videos, simulations, visual demos, and exercises. Ensure technical accuracy and realism.

Act as a technical ambassador for us in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and what-if scenarios.

we are looking for a Senior Full Stack Engineer, Subscriptions Team.
As a Senior Full Stack Engineer on this team, youll work across the stack - designing robust backend services and building polished, data-driven UIs that help customers and internal stakeholders get value quickly.
What Youll Do:
Lead technical design and implementation of backend projects, owning end-to-end features from architecture to deployment
Design, implement, and maintain scalable microservices and event-driven systems that power our subscription and billing engine
Design and maintain asynchronous flows using queues to handle high-concurrency usage metering and analytics
Contribute to the frontend domain by building and maintaining UIs that expose subscription data to customers
Collaborate with Product, Data, and Customer Success teams to support product-led growth (PLG) and business goals
Take ownership of production systems, including monitoring, troubleshooting, and reliability improvements
Write clean, testable, and maintainable code, and participate in thoughtful code reviews
Simplify integrations and workflows to reduce Mean Time to Value (MTTV) for internal stakeholders and customers

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
our company Cloud Storage provides a suite of services like the scalable our company Cloud Storage (GCS) for unstructured data, high-performance managed lustre for AI High-Performance Computing workloads, and the managed Network File System (NFS) service filestore. These offerings are fundamental to our company Cloud's infrastructure, serving as the backbone for storing and accessing the vast datasets required for training and deploying AI models. In the AI era, this storage portfolio is crucial for enabling innovation, supporting compute-intensive tasks, and driving significant value for our company Cloud customers. The performance, scalability, and flexibility of these storage solutions are key to unlocking the potential of AI.
our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Design and implementation of high-complexity features. Deliver robust, production-ready code for storage solutions that address the specific demands of AI/ML workloads.
Architect scalable and performant storage solutions. Make data-driven decisions to optimize system efficiency and reliability.
Provide deep-dive code reviews and technical guidance to the team. Set the standard for engineering excellence and help maintain a high quality bar for all deliverables that addresses the expectations of key our company customers.
Identify and resolve performance bottlenecks and intricate system issues. Develop innovative, practical solutions to technical challenges that arise at the intersection of storage and ML.
Partner with product and engineering stakeholders to translate customer requirements into technical specifications, ensuring the incubations output aligns with broader our company Cloud goals.

We are expanding our team and seeking a talented, experienced, and passionate Senior Backend Engineer to join our TLV-based team. Join us and play a crucial role in transforming the future of work
What's the job?
We are looking for an experienced and hands-on Backend Engineer to be a key player in building high-scale Data Platforms and Products for our business teams.
This role involves working with large datasets and scalable systems, and developing internal tools to enable data-driven decision-making across the company.
Key Responsibilities:
Develop internal tools for various teams.
Build and maintain microservices and APIs to support diverse workflows.
Operate in a real-time, event-driven environment.
Create and manage data pipelines.
Take ownership of multiple systems and products.
Develop and deploy machine learning pipelines to production in an event-driven architecture.
Work in a multi-cloud environment (Azure/GCP/AWS).
Integrate third-party tools with our platform.
Translate business requirements into technical specifications.
Our Tech Stack:
Python, BigQuery, Redis, RabbitMQ, MySQL, Tornado, SQLAlchemy, Airflow, Airbyte, NewRelic, Elastic, Kubernetes (K8S).