דרושים » תוכנה » Staff Engineer, Core Infrastructures

we are architecting a new approach to the enterprise data stack built for the AI era. The company Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
As a Software Engineer, youll:
Be a key part of our companys Filesystem product area, dedicated to enhancing the quality, robustness, and performance of the core features of our large scale storage solution. Youll be working closely with highly experienced developers to develop and expand the capabilities of our storage solution, with emphasis on quality and high performance.
Key Responsibilities
Assist in the development and enhancement of distributed file system components to support data management features such as snapshots, replication, and tiering.
Work closely with senior developers, assisting them on projects while gaining insights and understanding of complex tasks and workflows.
Have a strong focus on quality with emphasis on designing and implementing unit tests.
Contribute to performance optimization efforts by learning to identify bottlenecks and implementing effective solutions.
Engage in ongoing learning to enhance the productivity, reliability, and maintainability of software solutions.
Collaborate on the design, architecture, and implementation of next-generation storage architecture.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales - providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure customer success. If we sound like your kind of people, join us!
About the role
At our company, were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the company Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.

At our company, were building the next-generation testing platform that will redefine how complex distributed systems are validated at scale. Our mission is to create an automated, intelligent testing environment that continuously validates the correctness, performance, and resilience of the company Data Platform across every layer of the stack. This is an opportunity to reinvent how next-gen infrastructure is tested, leveraging both proven engineering techniques and the latest AI-driven approaches. Youll work on solving some of the hardest challenges in large-scale systems engineering: How do you validate correctness in deeply parallel I/O systems? How do you uncover reliability gaps that appear only under extreme concurrency? How can AI tools help us automatically generate test scenarios, analyze failures, and predict weak spots before they occur? As a Staff Software Engineer, youll be at the center of these questions. Youll set the technical direction, design testing frameworks that scale with our product, and partner across engineering to raise the bar for quality.
What Youll Do:
Design and implement a next-generation testing and quality framework for distributed systems, enabling automated validation of functionality, performance, and resilience.
Leverage AI-driven tools to scale the testing environment, including automated test generation, intelligent workload synthesis, and anomaly detection.
Create end-to-end testing environments that simulate real-world scale, stress, and failure conditions.
Define and drive the technical strategy for testing across our company, setting the standard for quality engineering.
Mentor and influence engineers across teams, fostering a culture of technical rigor and reliability obsession.
Collaborate with product and infrastructure teams to ensure the testing platform is deeply integrated into our development lifecycle.

Your Career We are looking for a highly talented technical individual to join the Cortex XDR infrastructure team. The team is responsible for developing automation infrastructure and various cloud based tools and platforms that are used across the research, development and QA departments to ensure the functionality, stability and quality of the XDR product, alongside the efficiency of the infrastructure and process used to build, test and deploy on various clouds and distributions. We believe that the platforms & infrastructure that the team provides are a critical & crucial part of our department's progress to the modern future and one of our key growth factors. As a Platform engineer you will play a pivotal role in enhancing our development and automation experience by pushing forward modern automation approaches, eliminating manual efforts and introducing new development operations for continuous integration, scale & durability using advanced cloud services. Your expertise will be used in areas such as infrastructure development, cloud based automation, serverless infrastructure, automation as a service, providing technical guidance, and pushing infrastructure\configuration as a code and GitOps approach across the development departments. To succeed in this role, you should have a strong foundation in modern cloud based automation methodologies and a comprehensive understanding of industry best practices, especially in redundancy and scalability of large systems and the ability to control them via SCM based declarative configs. You should be familiar with modern public clouds approaches and serverless based architectures, including virtualization containers and container based orchestration including multiple Kubernetes based deployments. You should be comfortable engaging in complex technical discussions and advocating for optimal solutions in a fast-paced growing environment as part of our quest for continuous improvement. Your Impact Utilize modern technologies including serverless cloud services, Kubernetes, Terraform, among others, and use them all in an infrastructure/configuration as a code GItOps approach to manage everything via source code and continuous integration processes Design and implement (hands on) the next generation of platforms, automation frameworks, SDKs, and tools to be used across our entire R&D group, and be part of our infrastructure transition to the cloud Develop and maintain a cloud based test execution system, that supports parallel executions on multiple operating systems and multiple cloud providers and at a very large scale, and by so helping reduce the amount of effort required to perform automatic testing and manual testing, and reduce time to market Provide tools, systems and simulators for scaling up all lifecycle phases of our products and services including cross company and third party integrations and frameworks to be used in high scale Introduce progress and help revolutionize our operations and lay the foundation for innovation and growth.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

Were seeking a strategic and hands-on Head of Engineering to lead and scale our technical organization.

In this role, you will turn our product vision into a strong, scalable engineering foundation, build efficient processes, and drive technical excellence. You should be passionate about technology, user value, and high-quality execution. Success means challenging assumptions, diving into details, and shaping both the product and the team that builds it.

Responsibilities
Lead and scale of 20-30 engineering organizations (Frontend + Backend) through two Group Leads.
Own the technical strategy and roadmap, ensuring strong alignment with product goals and long-term company vision.
Design and oversee scalable, reliable system architecture across image processing, AI model serving, and data pipelines.
Remove bottlenecks to improve development velocity and overall engineering efficiency.
Drive hiring, mentoring, career development, and a culture of ownership and excellence.
Roll up your sleeves when needed and set the standard for hands-on technical leadership.
Enforce engineering best practices across code quality, CI/CD, testing, deployment, and observability.
Partner closely with Product, AI/ML, and Design teams to translate business needs into technical solutions.
Make key technology decisions and evaluate new tools, frameworks, and services.
Define and track engineering KPIs to ensure system performance, uptime, and team productivity.

More and more enterprise companies are moving to the cloud to reduce technical debt and focus on innovation. our company Web Services (AWS) is investing heavily to ensure we continue delivering the worlds best customer experience for complex, large-scale transformations.
If you're energized by the opportunity to accelerate one of the most impactful technology shifts of our time, join us. The AWS Transform team in Tel Aviv is growing.
What is AWS Transform?
AWS Transform is a strategic initiative focused on helping enterprise customers modernize and migrate their compute, storage, and networking infrastructure into the cloud, with a strong emphasis on VMware-based environments and traditional on-premises data centers.
We build automated, scalable, intelligent, and agentic GenAI-powered solutions that simplify complexity, reduce operational risk, accelerate migration timelines, and unlock long-term agility and cost efficiency for our customers.
Key job responsibilities
What Youll Do:
As a Software Development Engineer (SDE) on the AWS Transform team, you'll be at the heart of designing, building core functions involve orchestrating hundreds or thousands of systems and legacy workloads, each with unique technical and operational constraints.
You will:
Drive end-to-end system design, implementation, and delivery
Play a key technical leadership role on the team, aligning engineering efforts with customer needs
Communicate effectively across teams to influence and guide architectural decisions
Write high-quality, efficient, and secure code that sets an example for others
Mentor teammates through design and code reviews and foster engineering best practices
Continuously grow your technical depth and leadership impact as AWS scales.

Software Engineer (Platform)
About the team:
Our engineering team builds and operates the backend and infrastructure systems that power our products at scale. We are a highly collaborative team, focused on reliability, performance, and scalability, taking ownership of core services and the infrastructure that supports them.
The team works closely with infrastructure and DevOps practices day to day, including cloud infrastructure, deployment pipelines, database design, monitoring, and system automation. While our primary focus is backend and infrastructure engineering, we own and maintain a few web apps, both internal and external.
In addition, the team is responsible for handling inbound and outbound integrations with our customers. This includes maintaining and optimizing the infrastructure and tools required for that process.
We also own and evolve the LLM & ML infrastructure that underpins key parts of our business, continuously optimizing for performance, stability, and cost efficiency as these systems scale.
Partnership is central to how we work. We collaborate closely with Product, DevOps, and other engineering teams to turn product ideas into robust, long-term technical solutions. We value engineers who enjoy working close to infrastructure, thinking holistically about systems, and contributing beyond strict role boundaries when needed.
Role and Responsibilities:
As a Backend & Infrastructure Engineer, you will design, build, and operate production-grade systems that serve as the backbone of our products.
Your responsibilities will include:
Owning and evolving core backend services with a focus on reliability, performance, and scalability
Designing and maintaining infrastructure components, including cloud resources, deployment pipelines, and monitoring systems
Leading database design, migrations, and operational stability of data-intensive services
Operating and optimizing LLM/ML infrastructure, improving performance, resilience, and cost efficiency
Supporting customer integrations by building and maintaining robust inbound and outbound integration systems
Collaborating closely with Product, DevOps, and other engineers to translate product requirements into long-term technical solutions
Contributing to frontend or cross-stack work when needed to deliver complete, end-to-end features
This role is ideal for engineers who enjoy working close to infrastructure, take pride in operational excellence, and like contributing across system boundaries rather than staying narrowly scoped.

we are seeking a Hands-on Architect to design, build, and evolve the core of our companys next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

we are a global leader in control systems for quantum computing-a field on the verge of exponential growth.
Our innovative hardware and software mark a groundbreaking approach to quantum computer control, scaling from individual qubits to expansive arrays of thousands.
At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
Were seeking a Software System Engineer to ensure seamless operation and integration of our complex, multidisciplinary system. This role spans multiple software domains and interfaces with hardware, logic, and validation teams. Youll act as a technical leader, driving design and implementation of system-wide features, resolving intricate integration challenges, and building infrastructure that accelerates development across the Software group.
Youll thrive here if you love working on large-scale, multi-threaded systems, solving cross-disciplinary problems, and building robust, production-quality solutions for cutting-edge quantum computing products.
Responsibilities
System Integration & Technical Leadership
Ensure proper operation and integration of all software components and their interfaces with logic and validation modules.
Lead design and implementation of multidisciplinary features, balancing performance, reliability, and maintainability.
Investigate and resolve complex system-wide issues and bugs across multiple teams.
Infrastructure & Tooling
Develop and maintain internal tools and infrastructure to enhance development efficiency and integration readiness.
Build profiling, debugging, and automation frameworks to support high-quality delivery.
Cross-Team Collaboration
Key stakeholder in the definition of interface contracts (APIs, protocols, timing/resource constraints) across software and hardware boundaries.
Drive integration plans, dry runs, and troubleshooting for system-wide features.
Quality & Execution Excellence
Champion clean architecture, code reviews, automated testing, and CI/CD best practices.
Ensure documentation (design specs, interface definitions, runbooks) is complete and up-to-date.