דרושים » תוכנה » Senior Software Engineer

Required Senior Software Engineer, Cloud Storage
Tel Aviv, Israel
About the job
Our 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 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.
Filestore provides a fully managed NFS service for Enterprise Cloud users who need file storage to replace their on-premise hardware when they move to the Cloud.
Responsibilities
Build scalable, reliable, and high-quality features that enrich Filestore's offering to customers.
Design, implement, test, integrate, coordinate, lead, communicate, and launch key deliverables.
Conduct design reviews and code reviews, and collaborate with colleagues inside and outside the team to help make things happen together.
Help Filestore achieve compliance with various regulated requirements. And foster and nourish best practices for engineering excellence.
Initiate and identify areas for product improvement and work with stakeholders to get them staffed.

we are looking for a Senior Software Engineer - Cloud Security.
Your Role:
Design, develop, and maintain complex, scalable, and high-performance systems with a focus on writing clean, efficient, and maintainable code.
Collaborate with cross-functional teams, including product managers and architects, to implement technical solutions aligned with business objectives.
Provide input on architectural design and participate in technical planning to ensure long-term maintainability and compliance with standards.
Identify and troubleshoot production issues, conducting root cause analysis and implementing fixes to ensure system reliability.
Contribute to code reviews and technical discussions, sharing knowledge and fostering a culture of collaboration and continuous improvement.

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Staff Software Engineer, you will be tasked with owning the architecture of our company's self-hosted (on-prem) Endpoint Protection platform across multiple teams - a distributed, mission-critical security system deployed inside customer-controlled enterprise, government, and regulated environments. You will set the standard for how the platform achieves high availability, scalability, and reliability on infrastructure we don't operate ourselves, while influencing the engineering roadmap for the product line. In this role, you will act as a recognized subject-matter expert who reviews and elevates the work of other senior engineers and drives complex, cross-team designs to completion.
What Will You Do?
Primary responsibilities include:
Own and evolve the architecture of the self-hosted platform across multiple teams - backend services, data pipelines, control logic, and the deployment topology shipped to customers (containerized microservices on bare metal, delivered as an appliance/OVA) - and implement improvements to existing architecture.
Set the standard for high availability and resilience in customer-controlled deployments: clustering, replication, failover, consensus/leader election, and graceful degradation across single-node and multi-node topologies, and drive infrastructure cost analysis and optimization.
Define scalability and capacity-planning strategies that hold across a wide range of customer scale and hardware, and establish frameworks for performance, observability, and operational excellence in constrained and air-gapped environments.
Lead the translation of SaaS/cloud-native capabilities into on-prem architecture, refine vaguely specified complex requirements into robust, future-proof end-to-end designs, and define coding patterns and standards that span multiple teams.
Influence the engineering roadmap, drive medium-to-large initiatives that span teams, mentor staff and senior engineers, and act as a cross-team technical authority sought out to review the work of others.

we are looking for a seasoned and accomplished Software Engineer to join the Identity Security organization. Identity is the new perimeter, being the leading attack vector in modern breaches. You will be part of the Identities Team, a group of talented engineers dedicated to solving the complex problem of securing identities across hybrid and SaaS landscapes.
Key Responsibilities
Drive Strategic Vision: Contribute to and execute the long-term roadmap for our Identity solutions, ensuring our tech stack evolves alongside industry best practices and global business goals.
Lead Innovation: Research and develop cutting-edge technologies to solve the "Identity Perimeter" problem, turning complex security research into tangible product features.
Architect Scalable Solutions: Design and implement robust, secure architectures capable of managing identities across fragmented SaaS and on-premise ecosystems at enterprise scale.
Foster a Culture of Excellence: Engage in a high-caliber engineering environment through mentorship, collaborative code reviews, and a shared commitment to continuous technical growth.
Collaborate Cross-Functionally: Partner with Product, Platform, and DevOps teams to bridge the gap between complex security requirements and seamless user experiences.
Own Your Career Path: Take on high-impact initiatives and leadership opportunities tailored to your experience level, with access to the resources needed to become a subject matter expert in Identity Security.

we are looking for a AI Senior Software Engineer, ML Platform.
This is a Senior AI Software Engineer role within AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products.
Responsibilities:
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems)

we are looking for a AI Staff Software Engineer, ML Platform.
This is a Principal AI Software Engineer role at the heart of AI Engineering group-where algorithms, infrastructure, and products intersect. Youll lead the evolution and scaling of AI architecture, ensuring reliability, efficiency, and impact across global clinical workflows. The role combines technical depth with cross-functional influence, strengthening how our AI systems are built, integrated, and delivered to drive ongoing impact for patients and care teams.
Responsibilities:
Lead cross-domain engineering initiatives connecting AI algorithms (CV, NLP, and deep-learning systems), software, and data systems-from design to delivery.
Stay hands-on, contributing to AI-serving (training and inference), integration, and orchestration components while setting high technical standards.
Partner with Algo teams to connect algorithmic innovation with strong system design, ensuring smooth delivery across Product and Engineering.
Guide architectural evolution, ensuring efficiency, consistency, and maintainability across AI workflows.
Communicate direction and priorities clearly, aligning teams around technical goals.
Mentor engineers and promote technical excellence, sound design, and shared best practices.
Foster collaboration and shared ownership, helping maintain a culture that values clarity, curiosity, and technical excellence.
Uphold quality and reliability-including clean code, testing, and CI/CD discipline-while evaluating and adopting new tools that enhance performance and long-term scalability.

we are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards: While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents: Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

As a Backend Software Engineering, your job responsibilities will include:
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
Critically evaluate code (human or AI-generated) for correctness, quality, security, and performance.
Build new and exciting components in an ever-growing and evolving market technology to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level).