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We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities. Role Responsibilities
* Ongoing operation and maintenance of enterprise Elastic environments.
* Monitoring, alerting, and system management.
* Integration with other cloud and platform services.
* Load and performance testing.
* Design and implementation of Kafka-based ingestion pipelines into Elastic.
* Continuous improvement, stabilization, and optimization of the Elastic platform.

We are seeking an Embedded system Engineer! In this position, you will serve as a key bridge between hardware and software, taking full ownership of Embedded system integration. You will design and develop low-level components while maintaining a strong understanding of system -level and application-layer behavior. You will act as a central technical authority in the team, leading development efforts, driving integration across subsystems, and ensuring seamless communication between hardware and software domains.
Key Responsibilities:
* Develop and maintain low-level Embedded software while understanding and interfacing with higher-level application layers.
* Lead system integration efforts between hardware and software components.
* Perform debugging and troubleshooting
* Work with Linux -based Embedded environments.
* Collaborate closely with hardware engineers to ensure proper system functionality.
* Take ownership of features and drive them from concept through development, integration, and deployment.
* Travel abroad as needed for collaboration, integration, and field support.

We are hiring a highly motivated and experienced Pre-Sales Engineer with a solid background in tech companies and SaaS products, to join our Sales team.

As a Pre-Sales Engineer at DealHub, you will be an integral part of the Sales team, focused on optimizing the sales process through tailored technical expertise and compelling product demonstrations. You will collaborate with prospects and internal teams to our solutions with customer needs, lead technical demos and POCs, and generate and reply to RFPs/RFIs, while your primary goal is to accelerate sales cycles by serving as the technical consultant and strategist during the sales process.

Key Responsibilities
Partner closely with Account Executives to strategize and execute sales processes, delivering the technical expertise necessary to close deals successfully.
Develop and present tailored product demonstrations and POCs that showcase our value in addressing customer pain points and achieving sales goals.
Actively engage with prospective customers to understand their challenges, define their needs, and recommend the right configurations of our platform to support their sales processes.
Serve as the technical resource for the sales team, addressing detailed questions about platform capabilities, integrations, security, and scalability.
Assist with RFP/RFI responses, ensuring all technical requirements are met and aligned with the proposed solution.
Work with Product, Engineering, and Customer Success teams to ensure alignment on customer needs and feedback, contributing to a seamless sales-to-implementation transition.

We are looking for an experienced and tech-passionate Java Team Lead to guide a distributed development team (Israel and global sites), serving as our local managerial and technological anchor. In this role, you will report directly to the US-based engineering leadership, blending technological, leadership, significant hands-on work, and personal management of developers.

You will lead the development of our core product services, maintaining constant synchronization with the US and working closely with various stakeholders across the organization (Product, QA, DevOps) in a fast-paced Agile environment.

Key Responsibilities
End to end ownership for a product line development, from designing the engineering solution, through development, code review, production deployment to rollout and monitoring.
Manage a strong team of developers both frontend and backend.
Solve real world business problems using engineering approaches.
Work closely with the product managers to define and timeline solution.
Recruit top talent developers for your team.
Be 40% hands-on development as part of the team.
Contribute to the engineering culture and methodologies.

We're looking for a passionate and detail-oriented QA Engineer (Entry Level) to join our quality assurance team.

This is your chance to enter the high-tech world and grow within a supportive, innovative environment.

What You'll Do:
Design and execute manual test cases for our products - get hands-on experience with real systems and ensure product quality from the ground up.
Collaborate closely with developers, product managers, and UX designers to detect bugs and improve the user experience.
Learn and apply professional QA methodologies - including writing test scenarios, working with QA tools, and understanding real-world product behavior.
Grow gradually into automation testing, performance testing, or other technical tracks, based on your skills and interests.

We are a hyper-growth company, and our development team is hiring talented and experienced Backend Engineers to design and develop end-to-end major features and new services.

Responsibilities
Work closely with the founding team and product managers.
Support the availability of our service, participate in the on-call shifts.
Innovate, Lear, and Teach.

Our Training Department is Expanding, we are hiring a System Instructor
Job Description
Deliver face-to-face training on company products (courses, training sessions, and certifications) in both Hebrew and English
Develop and write training materials, with an emphasis on presentations, lesson plans, and supporting documentation
Build training and course syllabi, including schedules and timelines
Full responsibility for the development and delivery of courses and training programs
Participate in product demonstrations and exhibitions
Lead cross-functional projects as part of the Training Departments responsibilities
Lead and conduct field training activities.

We are looking for an experienced Backend Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.

In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.

This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.

This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work. Success in this role looks like teams shipping faster and smarter with AI, not lines of code written.



What Youll Do:

● Help drive adoption and optimization of GitHub Copilot and AI dev tools

● Support (mostly) backend engineers, answer technical questions and help unblock teams

● Continuously track the AI tooling landscape and best practices

● Measure impact, identify gaps and improvement opportunities across the SDLC

● Navigate and reduce change resistance to change with patience and empathy

● Partner with DevOps, architects, and management to track and optimize AI utilization

● Build and maintain a library of reusable AI assets (prompts, rules, agent workflows, playbooks) tailored to the clients stack

● Serve as the go-to escalation point for GitHub Copilot-related issues, edge cases, and feature rollouts

We are looking for a Software Engineer (4+ years) with experience working with COBOL/Mainframe to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development initiative.

In this role, youll act as an AI Champion and Modernization Leader, working closely with development teams maintaining and evolving mainframe applications. Your mission is to help these teams integrate AI tools, agentic coding workflows, and emerging AI development best practices into their legacy and hybrid SDLC environments.

The focus is on enablement, training, and integration - not direct feature delivery. Youll bridge the gap between traditional mainframe development and AI-assisted software engineering, empowering teams to leverage tools like GitHub Copilot and emerging large-language-model (LLM) capabilities to accelerate modernization and improve developer experience.

This is a high-impact, high-visibility position designed for engineers who are hands-on with AI tools and want to influence how enterprise teams evolve their engineering practices. Success in this role looks like legacy teams delivering faster and smarter with AI - not lines of COBOL code written.

What Youll Do:

● Drive adoption and optimization of GitHub Copilot and other AI development tools in a variety of environments, including COBOL/Mainframe

● Mentor and support mainframe and backend engineers; answer questions, demonstrate workflows, and unblock teams

● Identify opportunities to use AI for code understanding, refactoring, documentation, and modernization

● Continuously track the evolving AI tooling landscape, surfacing relevant capabilities for mainframe use cases

● Measure impact, collect feedback, and identify improvement opportunities across the modernization lifecycle

● Navigate resistance to change with patience and empathy while promoting a learning culture

● Build a library of reusable AI assets (prompts, scripts, workflows) tailored to mainframe and integration contexts

● Partner with DevOps, architects, and management to track adoption and optimize AI utilization across projects

● Serve as the internal expert for GitHub Copilot and related AI dev tools, piloting new features, and best practices

We are looking for a Senior Backend Developer to join our elite Enterprise Password Vault (EPV) team. This team is responsible for building new features for the Security
product that meet the highest security, stability, and performance standards of the largest enterprises in the world.
You will be a key member of a highly talented, cross-functional development team (including developers, architects, and QA) working in a fast-paced, Agile-oriented environment.
Your Impact:
End-to-End Ownership: Analyze, design, and develop new features for the
web interfaces and backend infrastructure from the requirement definition stage to the final deliverable.
Code Excellence: Deliver high-quality, scalable code that meets strict security and performance standards.
Technical Leadership: Lead complex technical challenges, demonstrating
independence, excellent design capabilities, and strong analytical skills.
Innovation: Continuously adopt new technologies, understand them in-depth through rapid self-learning, and apply creative problem-solving to overcome technical hurdles.
AI-Driven Engineering: Leverage AI tools and methodologies to accelerate
development, enhance code quality, and integrate smart capabilities into the product.

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk at Meta. The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work.

We are looking for a senior software engineer to join our elite team which is building one of our strategic products.
In this role, you will take part in building a new innovative product, and have a huge influence on its design, flows, and technology.
In this role, you must demonstrate high professional skills, fast technology adoption, and the ability to work on AWS.
Responsibilities:
Practice all software development life cycle in an agile oriented environment.
Explore new technologies and tools to keep us using cutting edge solutions.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.
Collaborate closely with the product team to align on design and functionality.