דרושים » תוכנה » Director of Engineering

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 AppsFlyers 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 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 of us depends on. You will drive the technical vision and execution or architectural transformation while ensuring the reliability and scalability of our 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

As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.

We are seeking an experienced Team Leader to lead a high-performing Full Stack Engineering team responsible for building scalable, performance-driven applications. This role combines hands-on technical expertise in Python with strong leadership skills to guide and mentor a team of talented engineers.
You will drive technical excellence, ensure delivery of complex projects at scale, and foster a culture of ownership and accountability. The ideal candidate has a proven track record of leading full-stack teams and building systems that handle large-scale workloads.

We are seeking a highly skilled Senior Software Engineer to join our team responsible for large‑scale data processing, distributed computation, and performance‑critical backend services. This role is ideal for an experienced backend engineer with a strong Python background who has built and optimized data pipelines at scale. You will design, build, and optimize systems that process large volumes of data using technologies such as Python, Databricks, and modern cloud‑native tooling. This is a senior technical position where architectural thinking, hands‑on coding ability, and ownership of end‑to‑end data workflows are essential.

Responsibilities
Design, develop, and maintain scalable, high‑performance backend services in Python.
Build and optimize large‑scale data processing pipelines running on Databricks.
Implement efficient algorithms and data transformations to support analytical and operational needs.
Optimize performance, throughput, and reliability of distributed data workflows.
Collaborate closely with Data Scientists, Product Managers, and other engineering teams to translate requirements into scalable solutions.
Implement monitoring, alerting, and observability for data workloads.
Ensure code quality through best practices such as code reviews, testing, CI/CD, and documentation.
Contribute to architectural decisions and technical strategy for the data platform.
Troubleshoot production issues, perform root‑cause analysis, and optimize system stability.

Data has never been more valuable and vulnerable. As cybercriminals become more sophisticated and regulations more strict, organizations struggle to answer one key question: Is my data safe?"
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort. At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details.
Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
The FinOps Technical Manager leads cloud cost operations, driving cost optimization and governance across multi-cloud environments. This role combines technical expertise with strategic leadership to align cloud spend with business objectives while fostering a culture of cost accountability.
Key Responsibilities:
Strategic Leadership
Champion cost-awareness across teams and influence architectural decisions for efficiency.
Lead cross-functional initiatives to improve cloud economics and operational excellence.
Team Management
Provide hands‑on technical guidance on cloud architecture, cost‑efficient design patterns, and optimization best practices. Foster strong collaboration between finance, DevOps, and engineering teams to ensure shared ownership of cloud costs
Cloud Cost Management
Monitor and analyze cloud spend across AWS, Azure, and Kubernetes clusters.
Identify optimization opportunities by diving into current system architecture/ flows and implementation and resent actionable recommendations to leadership.
Be able to challenge current and future technological and architecture decisions in favor on cost optimization.
Ability to detect bad designs and implementations that cause high spend.
Automation & Tooling
Oversee automation of cost reporting and anomaly detection.
Evaluate and implement tools and integrations for real-time visibility.

As a Principal Software Engineer will:
Lead the technical direction and architecture of business-critical initiatives across Microsoft Security.
Drive the design of large-scale, resilient, and secure distributed systems that serve millions of users.
Contribute to business-critical initiatives in Microsoft Security
Will improve the end-to-end lifecycle of services
Analyze complex system behaviour, and apply modern engineering practices to streamline deployments and reduce costs.
Tackle highly ambiguous, complex problems that span multiple domains, and turn them into clear technical plans and execution paths.
Improve the end-to-end service lifecycle, including reliability, scalability, security, operational excellence, and cost efficiency.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
Partner closely with engineering, program managers, and security experts to drive impactful outcomes for Microsoft Security customers.

Fire-Arc is an innovative, data-oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents. We’re looking for a Mid-Level Client Developer with strong leadership capabilities, extensive experience building Windows desktop applications , and a passion for mentoring others and solving complex problems.
Impact and Responsibilities
* Lead the design and development of Windows desktop applications using technologies mostly C# (.NET) WPF
* Drive high-quality integrations with AWS services like S3, Lambda (serverless), EC2, DynamoDB and RDS
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Design, build, and maintain backend services that support and seamlessly integrate with Windows desktop client applications.
* Apply practical experience with Generative AI tools to increase productivity while maintaining strong engineering standards and critical thinking.
* Proactively identify technical and architectural challenges, and craft scalable, secure, and user-centric solutions
* Oversee and enhance application installation, deployment, and update processes with a focus on security and user experience
* Foster a collaborative, respectful work environment , supporting team members and driving alignment with cross-functional teams
* Participate in code reviews and contribute to a culture of quality and shared knowledge
* Continuously monitor and optimize application performance, security, and scalability
* Stay up-to-date with industry trends and recommend new tools, techniques, or improvements to enhance team effectiveness

Brand:
FireArc

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.

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