דרושים » הנדסה » Software Engineer (AI)

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.

We are looking for a Staff Engineer.
What Youll Do:
Lead architecture and system design for critical components of the Developer Experience platform, ensuring scalability, resilience, and long-term maintainability.
Own end-to-end delivery of complex initiatives, from requirements gathering and design to implementation, rollout, and observability.
Design, implement, and maintain robust microservices supporting high-throughput and low-latency operations.
Define and uphold API design standards, including gateway configuration, versioning strategy, and long-term lifecycle management.
Build and optimize backend systems that enable developer-facing products such as SDKs, APIs, and webhooks.
Work with both relational and NoSQL databases to ensure data consistency, scalability, and performance.
Collaborate with cross-functional teams to design systems that meet operational and business requirements.
Research and implement cloud-native architectures to support growth and scalability.
Contribute to the creation of developer tools and standards that improve the usability of our APIs and SDKs.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

we are at the forefront of the AI revolution, delivering cutting-edge accelerated compute platforms for global impact. Our Network Insights group is seeking a talented and motivated Sr. DevOps Engineer to architect, scale, and optimize the DevOps infrastructure supporting our advanced networking simulation services. In this high-impact role, you will lay the foundations to scale a key insight product to reach 10100 times more users, design robust CI/CD pipelines, drive automation, and ensure the reliability, scalability, and security of our cloud-based, and on-prem platforms.. If you are passionate about solving complex infrastructure challenges and enabling world-class software delivery, we want to hear from you.
What You'll Be Doing:
Architect and optimize CI/CD pipelines for large-scale, high-availability simulation services, ensuring fast, reliable, and secure deployments.
Drive automation across infrastructure provisioning, configuration management, and monitoring to support rapid development cycles and minimize manual intervention.
Collaborate with software engineering and product teams to design and implement scalable, cloud-native solutions that meet evolving business needs.
Promote standard processes in infrastructure as code, containerization, and cloud security, ensuring compliance and resilience across environments.
Monitor, troubleshoot, and resolve infrastructure and deployment issues, maximizing uptime and ensuring efficient performance for internal and external customers.
Evaluate and integrate new tools and technologies to continually enhance the reliability, observability, and efficiency of our DevOps ecosystem.
Participate in incident response and post-mortem processes, driving root cause analysis and systemic improvements.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

As a Principal DevOps Engineer in our Platform Engineering team, you will lead the design and implementation of cutting-edge CI/CD pipelines and cloud architecture that powers our development environment. You'll drive initiatives to enhance developer productivity through automation, tooling, and infrastructure improvements, working with a modern tech stack including Kubernetes, Python, cloud-native and high-scale technologies.
Your Impact
Architect and implement scalable, resilient CI/CD pipelines and cloud infrastructure that supports our engineering organization's evolving needs
Design and develop internal developer tools and platforms that significantly improve developer experience and productivity
Drive the evolution of our Kubernetes-based deployment infrastructure in Google Cloud Platform, ensuring security, reliability and performance
Optimize and scale our CI/CD infrastructure including Jenkins, GitLab, TeamCity, and artifact management systems
Mentor and guide other engineers on DevOps best practices, infrastructure design, and implementation strategies
Drive adoption of infrastructure-as-code, automated testing, and deployment methodologies
Collaborate with development teams to understand their needs and implement solutions that accelerate their workflow
Establish standards and best practices for infrastructure reliability, observability, and performance.

We are seeking a Senior Platform Engineer, Observability to join our Observability team. This role offers the opportunity to work at the intersection of software development and platform engineering, contributing to the tools, systems, and practices that improve visibility, reliability, and operational excellence across our engineering organization.

This position is ideally suited for experienced software engineers who are passionate about building high-quality systems and are interested in expanding their expertise in observability, distributed systems, and developer experience. You will help design, build and maintain systems that empower engineers across us to monitor, understand, and troubleshoot their services more effectively.

Our observability team is responsible for delivering scalable and user-friendly solutions to over 150 engineers working across more than 20 teams. Were focused on enabling rapid incident detection and resolution, improving our reliability posture, and supporting a culture of continuous improvement.

What you'll be doing:
Design, build, and maintain observability tools and infrastructure that help our engineers provide actionable insights into the performance and reliability of our systems.
Collaborate with other engineers and teams to enhance the developer experience around monitoring, logging, alerting, and tracing.
Develop and evolve our internal tooling to simplify the process of instrumenting and observing services.
Partner with engineering teams to improve incident response and recovery workflows, and ensure systems meet internal SLOs/SLAs and reliability targets.
Support the migration from our legacy ELK stack to a modern observability platform using Prometheus, Mimir, Grafana, Honeycomb, Loki, Quickwit, and OpenTelemetry.
Contribute to knowledge sharing and the ongoing development of best practices in observability across the organisation.

We are actively seeking a passionate Platform Engineering Developer to contribute to the next generation of our internal platform for Engineering. If you're passionate about designing and developing cutting-edge infrastructure and tools, this is an ideal opportunity. As a Platform Engineer, you will be responsible for the design, development, and management of an internal multi-cloud platform specifically tailored for engineers. You will collaborate closely with product managers, developers, DevOps, and various engineering teams to build platform features that enhance deployment processes, observability, monitoring, security, and cost optimization, all while ensuring the scalability, availability, and stability of our SaaS.
As a Software Developer you will...
Design, develop, and extend the capabilities of our internal platform and SaaS to meet the evolving needs of engineering teams and customers
Develop scalable, Kubernetes-native solutions leveraging AWS, Azure, GCP, and Kubernetes to empower teams with efficient and reliable infrastructure
Collaborate with product managers to align platform development with business objectives, maximizing efficiency for various departments including engineering, support, and product SRE
Continuously enhance developer productivity by creating self-service tooling and interfaces, minimizing manual interventions, and integrating cloud and Kubernetes services to bolster the internal developers portal with new capabilities for fast and efficient routine operations
Work with and develop expertise in diverse cutting-edge technologies, including Kubernetes, k8s Operators, ArgoCD, Prometheus, OpenTelemetry, Kafka, MongoDB, Falco, etcd, Helm, Istio, Crossplane, and Kyverno.

we are seeking a Principal Backend Engineer to become a vital part of our Cortex backend engineering group, primarily focusing on the development and maintenance of our Cortex products, including Cortex XSOAR, Cortex XSIAM and new Cortex AI solution. Located predominantly in our TLV office, our team operates with high efficiency and swift decision-making processes.
In this role, you will design and implement robust backend services for Cortex XSOAR, a leading-edge security orchestration, automation, and response platform. This position requires a solid background in software engineering, with proficiency in Go or Python, and a keen interest in tackling complex technical challenges within the cybersecurity sphere.
As a member of our dynamic team, you will also contribute to creating innovative AI-based solutions leveraging the Cortex product line, enhancing shared Cortex infrastructures and components. We value candidates who are proactive, passionate about problem-solving, and committed to delivering substantial impact to thousands of customers. This role is an exceptional opportunity for those eager to advance Cortex XSOAR with AI-driven capabilities and make a significant mark in the cybersecurity industry.
More information about XSOAR, here.
Your Impact
End-to-end backend development of features and components across their entire life cycle (design, develop, test, deploy, maintain)
Work closely with peers across different teams and disciplines to shape solutions and integrate with other parts of the product
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions
Production oriented approach with providing real time mitigation and solutions to production issues.

we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies.
In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside across the globe who are bright, curious, practical and good people.
What Youll Do:
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 at 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 role will include:
Design and implement scalable backend services and libraries that are reusable and maintainable, serving as the foundation for various applications across the company.
Build and maintain tools that streamline development workflows, enabling product teams to focus on delivering business value.
Define and promote best practices for code quality, performance, and reliability, ensuring healthy production environments and rapid development cycles.
Lead the adoption and integration of AI tools to assist in code generation, testing, documentation, and debugging, thereby accelerating development processes.
Perform proof-of-concepts (POCs) on emerging technologies, including AI agents and platforms, to assess their applicability and benefits to our development ecosystem.
Drive cross-team technical projects aimed at improving infrastructure scalability, reliability, and developer experience.
Analyze and resolve complex production issues, ensuring minimal downtime and optimal performance.
Contribute to the evolution of our system architecture, ensuring it supports rapid development and scaling needs.