לוח משרות דרושים הייטק

Required Technical Account Manager
As part of the role you will have the opportunity to:
Proactively manage a portfolio of customers to deliver consistent value across the entire lifecycle, driving adoption and growth
Manage the onboarding of new customers and translate the customers Desired Outcomes into an implementation plan that will provide value in a timely fashion
Be the product expert and trusted advisor that your customers can go to for guidance on maximizing value our Horizon platform
Train customers to use products effectively
Make sure all customer issues and requests are handled in a timely manner while working in collaboration with all relevant teams (Product, R&D, Sales and Marketing)
Maintain high levels of customer engagement, including regular account reviews and performance planning
Build strong relationships with stakeholders and drive customer advocacy through case studies, referrals, and references
Actively communicate internally to address customer needs and challenges

Required Senior Fullstack Engineer
Position Overview:
As a Fullstack Developer, youll work on a greenfield product designed to automate cloud optimization across AWS, Azure, and GCP-giving customers better cost efficiency without sacrificing flexibility.
Youll be working across the stack, from designing smart APIs in Python to building modern and responsive interfaces in React. This is your chance to take ownership of architecture and help shape an innovative product.
Your ownership will include:
Developing scalable, end-to-end features using Python and React.
Designing and building RESTful APIs with performance, reliability, and maintainability in mind.
Building elegant, intuitive UI components in React within a scalable micro-frontend architecture and shared component library.
Collaborating with PMs, designers, and cloud experts to translate complex challenges into product features.
Taking end-to-end ownership of key components, contributing to architecture and design decisions.
Integrating with internal systems and external APIs, including major cloud platforms.
Driving best practices in code quality, testing, automation, and CI/CD workflows.
Participating in code reviews and fostering a high-standard engineering culture.

Were looking for a Senior DevOps Engineer whos passionate about developer experience, platform reliability, and cutting-edge automation.
This role goes beyond traditional DevOps - youll dogfood our own cloud and Kubernetes optimization products, providing hands-on feedback and product insights directly to our product and engineering teams.
Youll design and own a scalable, resilient, developer-friendly infrastructure while shaping how the company itself builds, deploys, and optimizes in the cloud.
Your ownership will include:
Architect, deploy, and manage Kubernetes-based platforms across AWS/GCP for scalable microservices.
Implement Infrastructure as Code using Terraform, Terragrunt, and Helm, ensuring fully automated, versioned environments.
Build and maintain CI/CD pipelines with Argo CD, GitHub Actions, and GitLab CI to streamline deployments.
Develop Python automation tools and internal platforms that enhance developer experience and reliability.
Continuously dogfood our optimization products (e.g., for Kubernetes and cloud cost automation) - validating their performance, identifying improvements, and advising the product team on real-world impact and UX.
Monitor and optimize system performance, scalability, and cost efficiency using observability and FinOps best practices.
Collaborate with R&D teams to improve developer velocity, CI/CD workflows, and infrastructure resilience.
Champion platform-engineering principles - enabling teams to deploy confidently and operate efficiently.

We are looking for a Senior Data Analyst to join our data team and serve as a key analytical partner to the business.
In this role, you will turn large-scale cloud usage data into insights that influence product decisions, customer value, and company growth.
This role goes beyond technical analysis. It requires strong business understanding and the ability to connect data to real-world outcomes.
As an independent function working closely with development teams, your insights will directly impact research quality, prioritization, and decision-making across the company.
Your Ownership Will Include:
Analyze data from cloud service providers and additional internal and external sources, with a clear focus on business and product impact.
Structure, clean, and organize unstructured and semi-structured data.
Investigate anomalous activity and assess product, customer, and business risks.
Translate complex analyses into clear, actionable insights for decision-makers.
Create concise reports that highlight trends, risks, and opportunities.
Define, track, and refine core product and business metrics.
Contribute to dashboards that support data-driven decisions across the organization.
Work closely with Product and Engineering teams as an independent analytical partner.
Operate autonomously with strong ownership, accountability, and attention to detail.

Were looking for a Product Designer whos excited by the challenge of making complex technology feel effortless. Youll design end-to-end experiences, from ideation and discovery to prototyping, execution, and validation, helping to simplify the world of cloud infrastructure for our customers.
Youll work closely with Product, R&D, DevOps, and customers to shape tools that are both powerful and easy to use. This is an opportunity to join a highly collaborative environment where designers have real ownership and impact.
Your ownership will include:
Own the design process end to end, from research and ideation through to visual design and validation
Collaborate with Product Managers, Engineers, and DevOps to create intuitive, user-centered solutions
Translate complex technical concepts into simple, clear, and beautiful interfaces
Conduct user research and usability testing with internal and external users
Create wireframes, flows, prototypes, and polished designs for new and existing features
Contribute to and evolve our design system to maintain visual and functional consistency
Continuously learn about the products technical context to inform design decisions.

We are looking for a BDR Team Lead to build, coach, and scale our sales development team. Youll own both inbound and outbound pipeline creation, lead a team of BDRs, and play a key role in driving new business opportunities for our Kubernetes and cloud optimization platform.
This is a hands-on leadership role with real impact, working closely with Sales, Marketing, and RevOps. If you enjoy developing people, building strong team culture, and creating a high-performing pipeline engine - this role is for you.
This position is based in Israel and requires alignment with U.S. business hours. Sunday: 10:00-18:00, Monday-Thursday: 12:00-22:00
Your ownership will include:
Lead & Grow the BDR Team:
Manage and coach a team of 4 BDRs with weekly 1:1s, call reviews, and clear goals.
Build a positive, accountable team culture focused on curiosity, ownership, and excellence.
Develop BDRs into future sales talent who can confidently engage technical decision-makers.
Own Inbound & Outbound Pipeline:
Lead pipeline creation for mid-market and SMB tech companies in North America and Europe.
Run an account-based outbound strategy using intent signals and tight targeting.
Build and optimize multi-channel cadences (email, phone, LinkedIn).
Coach reps to run sharp discovery conversations and deliver high-quality handoffs.
Build the BDR Engine:
Create and improve playbooks for targeting, messaging, sequencing, and qualification.
Work with RevOps on territories, routing, processes, and reporting workflows.
Ensure strong CRM hygiene and accurate reporting across Salesforce, Outreach, and supporting tools.
Track funnel performance and drive improvements that focus on pipeline quality - not just volume.
Work Cross-Functionally:
Partner with Marketing on messaging, campaigns, ABM, and feedback loops.
Align with Sales leaders and AEs on target accounts, handoff standards, and pipeline expectations.
Collaborate with RevOps to enhance tools, data, and operational processes.

Were looking for a SENIOR C++/PYTHON Tech Lead to help build and evolve our high-performance, scalable software systems. In this role, youll own major development efforts in a Linux-based environment, modernize existing codebases, and contribute to a robust platform used in demanding environments.
Youll be part of an engineering team that thrives on ownership, clarity in architecture, and tight-knit collaboration to ship high-quality software at scale
Responsibilities:
Design and implement efficient, production-ready C++ applications on Linux
Translate use cases and requirements into scalable, high-quality code
Refactor and modernize legacy codebases for better maintainability and performance
Identify and resolve bottlenecks across the stack using tools like eBPF
Collaborate cross-functionally with infrastructure, QA, and product teams
Ensure system quality via automated testing and CI/CD best practices
Participate in code reviews, design discussions, and mentoring.

We are looking for a Senior Data Engineer to build and operate a multi-tenant analytics platform on AWS + Kubernetes (EKS), delivering streaming and batch pipelines via GitOps as a Platform-as-a-Service (PaaS).
Responsibilities:
Ingestion pipelines: Build and operate Flink / Spark streaming and batch jobs ingesting from Kafka, S3, APIs, and RDBMS into OpenSearch and other data stores.
Platform delivery: Provide reusable, multi-tenant pipelines as a self-service PaaS.
Workflow orchestration: Manage pipeline runs using Argo Workflows.
GitOps delivery: Deploy and operate pipelines via ArgoCD across environments.
IaC & AWS: Provision infrastructure with Terraform and secure access using IAM / IRSA.
Reliability: Own monitoring, stability, and troubleshooting of production pipelines.
Collaboration: Work with product, analytics, and infra on schemas and data contracts.

We are seeking a talented, creative, and fast-moving AI Engineer to join our AI team.
This is a unique opportunity to play a hands-on role in shaping the future of AI-driven technologies across our cloud data platform.
Were seeking a smart, creative, and fast-learning engineer who thrives in a dynamic environment.
A curious mind who loves to experiment, prototype, and transform cutting-edge AI and ML concepts into impactful, real-world products.
Responsibilities:
Design, develop, and deploy AI-based features and automation tools across our platform.
Collaborate with engineering, product, and data teams to identify and execute opportunities for AI integration.
Work with Machine Learning models, LLMs, NLP, and generative AI frameworks to enhance product intelligence and user experience.
Prototype, test, and iterate rapidly, optimizing models for scalability and performance.
Stay updated on AI and ML trends, tools, and research, bringing fresh ideas and technical insight to the team.

Required DevOps Engineer
Responsibilities:
Design and develop tools for managing and applying DevOps principles, such as CI/CD automation and IaC.(Infrastructure as Code) on our Cloud-based production systems.
Maintain and optimize the application layer of a multi-DC environment.
Manage various infrastructure applications - K8, Kafka, Redis, and others.
Deliver solutions, architectures, and automation Application.
Conduct research to bring innovative solutions to a complex environment to improve processes and tech stack.
Leading cross-functional projects and initiatives.
Application and infrastructure logging and monitoring solutions.
Join the on-call duty 24X7.

We are looking for a Director, Enterprise Project Office to join our fast-growing Enterprise Project Office team. Reporting to our VP, Enterprise Project Office, you will be supporting the team on multiple programs and projects from initial concept through launch, working closely with internal and external stakeholders to define objectives, create detailed project plans, manage budgets, and ensure delivery within agreed timelines. The Director will also manage EPO project professionals, providing guidance, support, and performance oversight.
The position requires deep technical expertise in payment processing platforms, proven experience as a technical project manager, and the ability to work effectively with product, engineering, and operational teams to deliver large-scale business transformation. Strong data strategy experience, including the ability to design and execute data-driven solutions that improve enterprise decision-making and operational performance, is critical. Experience in product management, engineering, or systems architecture is highly desirable.
The ideal candidate combines strong delivery management skills, technical depth, and the ability to connect strategy to execution. They will have a clear understanding of technical architectures, integration points, data flows, and operational dependencies that underpin mission-critical payment systems.
Key Responsibilities:
Lead delivery of complex initiatives across multiple programs, including digital payment platform implementations, upgrades, and client/platform migrations.
Define scope, goals, and deliverables in collaboration with senior leadership, product, engineering, and operations.
Develop and maintain comprehensive project plans aligned to strategic priorities, covering organizational and technical readiness, including architecture, integration, and data migration.
Integrate data strategy into project planning, ensuring data architecture, governance, and analytics capabilities are embedded in solutions.
Communicate progress, risks, and expectations clearly to stakeholders and executive sponsors.
Manage resource allocation and priorities across concurrent initiatives.
Mentor and guide EPO project professionals, ensuring accountability and high-quality delivery.
Oversee timelines, milestones, and deliverables using Agile, Waterfall, or hybrid methods.
Deliver executive-level reports, proposals, and presentations; manage scope changes, risks, and contingency plans.

Were looking for a passionate and proactive Software Team Leader to head a backend-focused R&D team, responsible for designing and building scalable core systems, while remaining hands-on and close to the code.
Youll be at the center of our most strategic tech and business initiatives, driving innovation and delivering high-impact solutions.
This is a hybrid position, including two to three work-from-home days per week, with flexibility based on team and individual needs.
Our Office is located in Kiryat Ono.
Responsibilities:
Lead a full-stack team working on our proprietary optimization platform
Architect and build high-scale, data-centric web systems
Be a hands-on leader: code when needed, unblock, mentor, and push forward
Collaborate with product managers who work hand-in-hand with our performance teams.
Balance rapid delivery with long-term architecture and stability

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.
Responsibilities:
Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team.
Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments. Many of our OCC Monitoring Specialists have been promoted internally and integrated into development, DevOps, and product teams.
This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.
Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations.

We are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization. The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with our business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.