דרושים » הנדסה » Finops Engineering Manager

We are looking for an R&D Group Lead to take ownership of the SaasLab group - leading multiple engineering teams responsible for the core platform services that every product depends on. You will drive the technical vision and execution or architectural transformation while ensuring the reliability and scalability of SaaS foundation.
The position requires a strong architectural mindset, experience leading platform and infrastructure-level work, and the ability to balance long-term technical strategy with continuous delivery of business value.
What youll do:
Lead and mentor a group of engineers and team leads across multiple domains (core entities, access & API gateway, billing & integrations), fostering growth in design, architecture, and people leadership
Own the SaaS platform end to end - ensuring high availability, security, and operational excellence of the systems that underpin every product
Drive and execute an architectural transformation: decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation
Work closely with product managers and cross-functional stakeholders, taking accountability for group deliveries and ensuring teams ship on time with excellent quality
Lead technical initiatives, processes, methodologies, and architectural decisions across the group
Drive AI Products development, SDLC and process improvements via cutting edge tools and methodologies
Be a meaningful and major member of AFOS leadership team and influence the units engineering vision, processes, and culture

The Collab Unit is looking for an exceptional Team Leader to lead the Audience Team. The Audience Team is responsible for building the products and infrastructure that enable customers to create, manage, and activate high-value audiences across multiple channels and marketing use cases. This is a strategic domain at the heart of how customers derive value from behavioral data.
As the team leader, you will manage a multidisciplinary engineering team and help shape the future of audience building and activation. You will work closely with product, architecture, data, and other engineering teams to deliver scalable, reliable, and user-centric solutions. This role requires a strong engineering leader who is passionate about building excellent teams, solving complex data and backend challenges, and driving execution in a fast-moving environment.
What Youll Do:
Lead and grow a high-performing engineering team responsible for end-to-end ownership of audience-related products and capabilities
Drive the design and delivery of scalable backend systems and data flows that power audience creation, enrichment, segmentation, and activation
Partner closely with Product, Design, Architecture, and cross-functional engineering teams to define and execute the team roadmap
Translate product and business goals into clear technical plans and ensure predictable, iterative delivery
Stay hands-on and involved in architecture discussions, design reviews, and code reviews
Foster a strong engineering culture of ownership, collaboration, quality, and continuous improvement
Mentor and develop engineers, supporting their professional growth and helping them reach their full potential
Recruit top talent and build a healthy, balanced, and effective team
Ensure high production standards, operational excellence, and system reliability
Promote curiosity and technical excellence by evaluating new tools, technologies, and approaches where relevant
Take an active role in shaping the broader engineering direction of the Collab Unit together with fellow team leaders

we are a leading semiconductor design center, developing SoCs, microcontrollers, and security hardware solutions for tier-1 customers in the computing and server space. As a self-contained R&D center - spanning architecture, chip design, software, and system engineering - we work closely with major US-based OEMs to deliver innovative, semi-custom silicon solutions. We are now extending our portfolio into AI acceleration, developing a next-generation NPU platform aimed at efficient, real-world AI deployment.
?Shape the Future of AI at the Silicon Level We are looking for a visionary Senior Technical Manager to build and lead our AI software stack for our next-generation NPU platform This is a rare opportunity to own the full software layer - from compiler infrastructure to Developer ecosystem - and make a lasting impact on how AI runs on silicon. What You'll Do; Build and lead a highly skilled AI software & algorithms engineering team, establishing engineering standards, development processes, and technical direction Define the end-to-end stack - compiler, runtime, Kernel libraries, and SDK - enabling efficient AI deployment on our NPU Drive AI compiler development using technologies like MLIR, TVM, LLVM or similar infrastructures to translate PyTorch/TensorFlow models into optimized NPU execution Champion model optimization - quantization, pruning, and hardware-aware techniques for maximum performance and power efficiency on the accelerator. Runtime, Drivers, and Firmware Integration - scheduling, memory management, and low-level software for AI workloads on-chip AI Kernel Libraries - Guide the development of highly optimized neural network Kernel libraries and performance-critical primitives tailored to the architecture of the NPU. Developer Ecosystem - Define and deliver the SDK, APIs, and development tools that allow internal teams and external developers to deploy AI models easily on the platform. Cross-Functional Architecture Collaboration - Work closely with silicon architecture and hardware design teams to ensure optimal hardware-software co-design, providing feedback on architecture, performance bottlenecks, and future ISA requirements.

We are looking for a Senior DevOps Engineer with deep expertise in cloud-native platforms to join our global DevOps group and help shape the future of our next-generation SaaS platform
Responsibilities
Collaborate across global R&D teams to manage and evolve a complex, Azure-based production environment powering a cutting-edge data security SaaS platform. 
Build and maintain scalable, resilient, and highly available cloud infrastructure using DevOps practices. 
Design and implement CI/CD pipelines, GitOps workflows, and infrastructure automation using tools like Terraform, Pulumi, Argo CD, and Azure DevOps. 
Work closely with R&D teams to design, implement, and support new product features across the platform. 
Evaluate and adopt emerging cloud-native technologies, open-source tools, and observability platforms to enhance system performance and developer productivity. 
Respond to incidents and internal requests, performing triage, root cause analysis, and implementing solutions to reduce recurrence and resolution time. 
Participate in a 24/7 On-Call rotation to proactively monitor and resolve production issues, ensuring platform stability. 

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.

we are looking for a Senior Data Engineer to join our Data Platform team. We are seeking a hands-on individual with experience in building and scaling modern data infrastructure, passionate about exploring AI technologies and applying them to enhance and evolve our data systems. This role is ideal for someone focused on data systems, performance, automation, and reliability, who will design, build, and maintain core components of our data pipelines, storage, monitoring, and observability stack, with a strong focus on improving workflows and system capabilities, while embracing the Shift4 way.

Responsibilities:

Build and maintain scalable, reliable, and high-performance data infrastructure across cloud and on-prem environments
Partner with engineering, analytics, and observability teams to support data flow from ingestion to consumption
Develop infrastructure as code and automation tools to improve deployment, monitoring, and recovery
Help troubleshoot performance bottlenecks and reliability issues in large-scale data pipelines
Implement data quality processes aligned with security standards to ensure accuracy, consistency, and compliance with financial regulations and PCI requirements.
Continuously improve the performance and efficiency of the data platform with proactive tuning and benchmarking
Proactively explore and apply AI tools to enhance efficiency across the data engineering lifecycle, while improving accessibility and usability of data solutions for teams across the organization

We are looking for a Principal Software Engineer at the intersection of AI/ML and security. You will drive the architecture and delivery of autonomous agentic experiences that investigate, triage, remediate, and harden customer environments using LLMs, knowledge graphs, and the Security Graph (MSG).

This is a high-impact IC role reporting to the Exposure Management engineering leadership. You will influence strategy, mentor senior engineers, and ship production systems used by the largest enterprises in the world.

Responsibilities

Architect & Build Agentic Security Experiences
Design and implement Blue (investigate/triage), Green (remediate/harden), and Red (attack simulation) agents operating across customer environments.
Define agent architecture: planning, tool use (MCP skills), memory, context retrieval, and human-in-the-loop controls.
Build orchestration over the Security Graph, correlating exposure signals across cloud, device, identity, data, and AI.

Drive AI-Native Platform Design
Architect skill, knowledge, context, and memory layers for agentic security systems.
Design MCP-based skill interfaces for customization and extensibility.
Define how LLMs interact safely and accurately with structured security data (vulnerabilities, misconfigurations, attack paths, graph relationships).

Shape AI-for-Security Strategy
Partner with PMs and domain leads to define where AI autonomy vs. human involvement is needed.
Evaluate and integrate foundation models (Azure OpenAI, fine-tuned models) for tasks such as risk scoring, remediation planning, and blast radius analysis.
Stay ahead of industry solutions (Wiz AI-APP, CrowdStrike Charlotte AI, Palo Alto XSIAM).

Technical Leadership & Influence
Set technical direction across multiple teams (20-30 engineers).
Drive architecture decisions, design reviews, and engineering excellence.
Mentor senior engineers (L63-L65) and grow the AI-for-security discipline.
Represent the team across us (Security Copilot, MSG, Azure AI, Research).

In this role, you will be responsible for ensuring the availability, reliability, and scalability of our production environments, proactively monitoring systems in real time and troubleshooting complex technical challenges. Youll work with modern cloud-native technologies, help improve operational efficiency, and play a key role in maintaining and evolving our infrastructure.

This is an opportunity to work on a fascinating and challenging product, gain exposure to innovative and diverse technologies, and join a fast-growing company that is leading its field., we invest in our people and support both personal and professional growth.

Were looking for someone with strong technical skills, a positive mindset and a constant drive for excellence.

This is a full-time, hybrid role based in Herzliya, Israel.

Responsibilities
Implement and operate large-scale Kubernetes and cloud solutions
Build and maintain infrastructure across AWS / Azure / GCP
Monitor customer infrastructure and production environments
Roll out processes for new services and applications
Enforce and maintain cloud and product security standards
Troubleshoot and resolve technical issues in customer environments
Develop and maintain infrastructure automation tools and workflows
Implement automation processes and AI-driven tools to improve operational efficiency

We are seeking a skilled and motivated Software Engineer (Automation Infrastructure) to join our team. This role is primarily focused on designing, developing, and maintaining robust automation frameworks and ensuring seamless integration with external systems and partner teams. The ideal candidate will have a strong background in infrastructure automation, excellent problem-solving skills, and a collaborative mindset.
Responsibilities
Design, build, and maintain efficient and reliable automation frameworks.
Implement, test, and bug-fix automation scripts and tools.
Write clean, scalable, and testable code for infrastructure automation.
Participate as a team member in fully agile Scrum deliveries.
Coordinate with other software professionals and developers.
Provide support to end users for automation tools and frameworks.
Collaborate with external teams and third-party vendors to implement integration solutions.
Remain up to date with the terminology, concepts, and best practices in infrastructure automation.

As a Field Engineering Manager, you will lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Israel. Your experience partnering with the sales organization will help drive revenue with the right approach whilst coaching sales and pre-sales teams to work together.
You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions, support complex sales cycles, and build relationships with important partners in large corporations.
The impact you will have:
Hire, mentor and grow the pre-sales team in Israel
Build a motivated collaborative culture within a hyper-growth team to embody and promote Databricks customer-obsessed, teamwork and diverse culture
Support increased return on investment of SA involvement in sales cycles
Ensure a solution and value-based selling within the field-engineering organization
Display an understanding of needs and revenue potential for accounts in the assigned region
Engage with key customer executives to build and strengthen strategic partnerships
Ensure close alignment with partners and internal services to secure implementation strategies within accounts
Continue to build Databricks' brand as a member of the Leadership team in partnership with Marketing and Sales teams across the region