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We are looking for an experienced DevOps Manager to lead and grow our DevOps function. This role combines people leadership, technical direction, and ownership of the infrastructure, tooling, automation, and operational practices that power Stamplis production environment.

You will manage DevOps Engineers, hire and onboard an additional team member, and drive the strategy, execution, and evolution of Stamplis internal DevOps platform. You will work closely with Engineering, Data, AI, Product, and Security teams to improve developer experience, enable fast and safe delivery, and keep production stable.

This role requires a strong hands-on DevOps / Platform Engineering background, combined with proven leadership capabilities. If you believe DevOps should operate as a self-service platform, love automation, and think in systems and end-to-end flows, keep reading.


What You Will Do
Lead, mentor, and manage a DevOps team, fostering ownership, excellence, collaboration, and continuous improvement.
Own the DevOps roadmap, priorities, execution, and delivery, aligned with Engineering, Data, AI, Security, and business goals.
Provide technical and architectural guidance across infrastructure, CI/CD, cloud operations, automation, observability, security, and platform engineering initiatives.
Build and evolve our internal DevOps platform, creating self-service capabilities, internal services, and golden paths that scale across teams.
Own CI/CD end-to-end, including Jenkins, GitHub, and GitHub Actions pipelines from commit to production.
Oversee and evolve our AWS stack, including ECS, EKS, Lambda, DynamoDB, Redshift, S3, DocumentDB, networking, IAM, observability, and deployment patterns.
Enable MLOps and data workflows using tools such as Airflow, MLflow, and Jupyter Notebooks.
Drive an automation-first mindset through Infrastructure-as-Code, scripting, internal tooling, and reusable components.
Lead cost optimization efforts with a FinOps mindset, including visibility, budgets, rightsizing, and workload efficiency.
Ensure security is embedded into DevOps practices, including least privilege, secrets management, vulnerability scanning, secure SDLC, and incident readiness.
Leverage AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, and ChatGPT Enterprise to improve team productivity and delivery speed.
Collaborate closely with cross-functional stakeholders to unblock delivery, improve developer experience, and maintain production stability.

we are looking for an experienced Data Center Operations Engineer to join our IT department. In this role, you will maintain and support a large-scale global server and GPU infrastructure, monitor and troubleshoot hardware failures, and collaborate with senior system specialists to resolve complex issues across production and research environments.
We offer a dynamic, innovative production and research environment and expect a strong commitment to maintaining high service availability, performance, and reliability.
Responsibilities :
Deploy (rack and cable) new servers, GPUs, and infrastructure hardware.
Monitor and troubleshoot IT infrastructure hardware issues across all company data centers.
Coordinate vendor engineers site visits.
Perform hardware break/fix activities including replacement of drives, RAM, CPUs, GPUs, power supplies, and other server components.
Maintain firmware versions up to date.
Manage company data center inventory.
Monitor and manage DC environment parameters including power usage, airflow, cooling, and rack capacity.
Support and keep hardware in an high-performance compute environments used for compute-intensive workloads and research activities.

We are looking for a Software Engineer specializing in ML Systems Engineering to join Development department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.

We are looking for an experienced Data Science Manager to lead and grow our Data Science team. This is a managerial role focused on leading a team of Data Scientists while driving the strategy, execution, and delivery of impactful AI and ML initiatives across our SaaS platform.

You will be responsible for both people leadership and technical direction - ensuring high standards of execution, mentoring team members, and aligning data science efforts with product and business goals. This role requires a strong hands-on background combined with proven team management experience.

What You Will Do
Lead, mentor, and manage a team of 7-10 Data Scientists, fostering a culture of ownership, excellence, and continuous learning.
Own the teams roadmap, prioritization, and delivery of AI initiatives.
Provide technical and architectural guidance across projects.
Drive end-to-end execution of data science solutions - from problem definition and research to modeling, evaluation, deployment, monitoring and enhancement cycles.
Collaborate closely with Product, Engineering, and Business stakeholders to translate business needs into scalable AI solutions.
Ensure production-grade standards, model performance monitoring, and continuous improvement.
Stay up to date with advances in machine learning, GenAI, and LLM technologies, and translate them into business impact.
Take responsibility for hiring, onboarding, and developing top data science talent.

we are looking for a Network engineer to join our IT Network team. We are looking for an all-around player who will join our network team performing a variety of tasks including WAN/LAN infrastructure Cloud networks and High-performance networks support and maintenance and Developing/Automating the IT infrastructure.
Responsibilities:
Maintaining the network's integrity including implementing new systems, troubleshooting and repairing network issues, as well as developing, applying and enforcing best practices and policies
Defining, installing and maintaining new network solutions
Monitoring the network performance over time
Managing multi-vendor environment (Juniper, Cisco, Arista, Dell, Fortinet)
NETOPS attitude (network as a code, network automation, auto provision)
Tier 3 and tier 4 troubleshoot and support
Supporting various development Departments.

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across Stamplis B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.

This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.

What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across Stamplis products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

we are looking for a Researcher.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on Finals financial performance this is a great opportunity.
In this role you will:
Mange and lead independent research applying ML/DL methods to a wide variety of datasets.
Creatively find new trading strategies
Work with other team members to optimize Finals Algorithms

We are searching for an innovative Software Engineer that will join us and be part of a SW team
In this role you'll:
Be responsible of the full life cycle development of several key applications including: Technical and statistical research, design, coding and integration
Developing and integrating new and existing software as part of a large-scale system
Tackle tough problems and find creative ways to solve them
Write high quality, functional code using C++/Rust development
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Manage and complete tasks using TDD, continuous integration and modern development processes
Coach and mentor other developers and help them elevate their skills while investing in your personal growth
Be working independently but as a part of a strong and collaborative team

We're looking for a Staff Product Manager to help architect the scalable platforms that solve our most complex systemic challenges. You'll sit at the intersection of automation, AI, and infrastructure - owning the strategy and execution for core capabilities that move Lemonade's platform forward. This role lives within our Product team and carries real visibility across the organization.
We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead zero-to-one strategy and execution for critical automation platforms - building the scalable infrastructure that powers seamless workflows and measurable efficiency gains
Map and untangle complex, multi-step logic to identify where self-service and AI can replace manual effort, then drive those initiatives through to scale
Build with the latest GenAI tools and LLMs, alongside our homegrown internal tooling, to create capabilities that intelligently manage high-stakes touchpoints
Partner closely with engineers, designers, data analysts, and internal stakeholders to shape product strategy, then translate it into detailed requirements and working prototypes
Own the roadmap for foundational infrastructure, prioritizing solutions that expand capabilities and reduce friction for internal teams and end-users alike
Mentor across the organization, championing rigorous problem-solving, systems thinking, and a culture of continuous learning

Were looking for a V&V Student to help verify that Kornits products meet all system requirements and conform to Spec, and to validate and assure a quality competitive product that fits and satisfies the customers needs.

Reports to: Lab Manager.

Location: Afek Industrial Park, Rosh Haayin.


What will you do?
Execute tests on different levels (Component, Assembly, Sub-system integration, System level testing).
Perform results analysis and present them to the test owner.
Perform Integration work on machines, simulation tools and jigs.
Monitor and measure machine KPIs while operating the machines.
Provide Feedback & troubleshoot system problems, fault recovery and accurate data transfer to the Development Department.
Performs preventive maintenance routines.
Take parts in upgrading R&D machines to the latest technologies.

We're looking for an SVP of Engineering to scale our AI-powered platform and deliver products that protect millions of customers worldwide.
You'll lead our global engineering and data science organization as we build the future of insurance, where cutting-edge AI meets human-centered design. This role sits on our executive team and reports directly to our Chief Product Officer, driving technology decisions that create real customer value.
We believe two things matter for every leadership role leadership that sets the bar for excellence, builds high performing teams, and holds them accountable, and strategy that thinks several years ahead and turns ambitious plans into reality. These aren't buzzwords, they're how we actually work.
In this role you'll
Build and execute a technology strategy that turns vision into scalable, secure platforms customers love
Lead and mentor senior engineering leaders while fostering a culture where speed meets quality
Translate product roadmaps into multi-year engineering plans that balance innovation, reliability, and cost
Oversee complex delivery across software, data, AI/ML, and infrastructure - always with product outcomes in mind
Drive talent strategy for engineering teams, from hiring plans to performance management and retention
Represent engineering in executive discussions, communicating progress and trade-offs to drive smart decisions

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

V&V Engineer ensures that our products meet all system requirements, adhere to specifications, and deliver a high-quality, competitive solution that fulfills customer needs and expectations.

What will you do?
Serve as the Verification & Validation focal point for a dedicated program within an Agile team.
Conduct requirements and PBI analysis, as well as risk assessment and comprehensive test planning.
Design and execute tests at all levels - from software standalone to full system integration, including black box and grey box testing at the system level.
Define and develop automated tests to support both V&V and R&D activities.
Analyze, document, and report test results, ensuring accurate defect logging and tracking to resolution.
Monitor and follow up on defects and open issues through their full lifecycle.
Collaborate with development teams to provide actionable feedback, support fault isolation, and maintain high-quality data handoffs.
Identify and investigate cross-product issues and dependencies.
Support the Service and Field teams in resolving escalated customer issues and contributing to root cause analysis.