uSoftware

Role Description In this role, you will be part of our core Exploitation R&D team and report to the Engineering Manager. We're looking for a strong backend engineer with a founder mindset who is passionate about application security and web vulnerabilities, and who can also provide leadership and drive execution with other engineers. You'll work in a global team of backend engineers and security researchers across Israel and Europe. - Maintain and improve existing attacks to achieve high performance, low false-positive rate, and low missed-findings rate. - Implement new attacks to detect more critical vulnerabilities for customers. - Improve performance and detect bottlenecks in backend components. - Build and enhance recovery mechanisms for backend processes. - Write and maintain unit, integration, and E2E tests. - Drive engineering standards, code quality, and delivery excellence across the team. - Help break down projects into clear, executable milestones and ensure consistent execution. - Collaborate closely with product and security stakeholders to align technical work with business goals. - Contribute directly to architecture, reliability, and product impact as a hands-on engineer. - Lead a team of 2–3 developers. Mentor engineers through code reviews, feedback, and day-to-day collaboration, and track the team’s KPIs. Tech Stack / Architecture: - Core engine: Crystal - Other microservices: Go and Node.js (TypeScript) - Infrastructure & tooling: AWS, CI/CD, PostgreSQL / NoSQL, Git, Docker Note: This role is intentionally multi-stack. Development language and technology will vary based on product and team needs. Qualifications - 5+ years of backend engineering experience, including at least 1 year in a senior-level role. - Strong hands-on coding and system design skills. - Solid knowledge of OOP, design patterns, algorithms, and computational complexity. - Experience with software testing approaches (TDD is a strong plus). - Deep understanding of concurrency concepts: async I/O, multithreading, multiprocessing. - Deep understanding of web fundamentals: HTTP, REST. - Experience with CI/CD tools (e.g., GitHub Actions, Jenkins). - Fluent English. - Leadership experience, or clear readiness to take ownership and lead engineering initiatives. Benefits - 20 fully paid business days of vacation. - 15 fully paid sick leaves. - 11+ fully paid public holidays. - Compensation for health insurance and sport club membership. - Ability to work from home or remotely 😊.

Role Description We're looking for a Senior Machine Learning Engineer to help us unlock the next wave of value from our data. This is our first dedicated ML role - you'll be the person who establishes how machine learning is done here. - You'll sit within the Data Engineering Squad and take ownership of ML use cases end-to-end - from identifying opportunities with stakeholders through to deploying and monitoring models in production. - This is a hands-on senior individual contributor role. - You won't manage people directly, but you will help shape our ML strategy alongside the Head of Data Engineering, Director of Analytics and Insight, and our incoming Chief Product Officer. - While you'll be the primary ML specialist, you'll have strong support from Data Engineers, Analytics Engineers, and a leadership team that is actively investing in advanced analytics and AI. - The company has an OKR to deliver multiple AI experiments each quarter - some will be selected and sponsored by the leadership team, but you'll also have significant freedom to drive your own agenda and identify opportunities independently. - Our platform runs on Azure and Databricks. You'll work within that ecosystem to design, build and scale ML solutions that are reliable, observable and cost-effective. - The current workload is primarily batch-oriented, with the business moving towards event-driven patterns across operational and analytics platforms - an early-stage journey you'll have the opportunity to help shape. Qualifications - Substantial experience in machine learning engineering, with a track record of deploying and maintaining models in a commercial product context - not just internal tooling. - Demonstrated ability to work across the full ML lifecycle at a level where you're making design trade-offs, influencing system architecture and driving quality standards - not just building to a spec. - Deep understanding of ML fundamentals - feature engineering, model selection, evaluation, hyperparameter tuning and the practical trade-offs involved. - Experience designing and operating ML pipelines and infrastructure using IaC principles. - Practical experience with MLflow or equivalent experiment tracking and model registry tooling. - Strong proficiency in Python and SQL, and hands-on experience with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow. - Excellent communication skills - you can translate technical concepts for non-technical stakeholders and build consensus across teams. Requirements - Experience with Databricks (ML Runtime, Feature Store, Unity Catalog, Model Serving). - Familiarity with Azure ML services and AKS or container-based model serving architectures. - Hands-on experience with Terraform, with a self-serve mindset towards provisioning and managing infrastructure. - Exposure to LLMs, generative AI or agentic patterns - we see this as a growth area and would value someone who can help us navigate it. - Awareness of data privacy, security and ML ethics considerations in a consumer-facing, data-rich environment. - Experience in marketplace, e-commerce or classified advertising domains. Benefits - A genuine greenfield ML opportunity - you'll be the first dedicated ML hire and will shape the roadmap from day one. - A modern data platform built on Databricks with strong Data Engineering foundations already in place. - A business with rich, diverse data across dealers, vehicles, listings, consumer behaviour and leads. - A leadership team actively investing in AI and advanced analytics, with a quarterly OKR cadence for experimentation. - If you're motivated by turning data into products that create business value, and you want the autonomy to define how ML works here, we'd love to hear from you.

Role Description We are looking for a highly skilled Engineering Manager to join our Motors business and accelerate our business. - Report to the Director of Technology while managing a team of engineers. - Balance perfection and expediency to meet business needs. - Engage in discussions across functions from tech and product to business. - Set the right expectations, build trust, and make informed decisions. Main Responsibilities - Partner closely with Product and Commercial teams to deliver a modern automotive platform that achieves company goals. - Contribute to the growth of our engineering culture and teams, working effectively with third-party partners as needed. - Drive strategic alignment across the engineering organization, ensuring that engineering objectives support and accelerate business outcomes. - Design and support the strategic vision for our modern automotive platform with a 3-5 year horizon. - Assist in defining and implementing scalable practices, tools, and frameworks that enable teams to deliver high-value work efficiently. - Enhance team productivity and efficiency by creating lasting processes and systems that reduce the need for constant re-evaluation. - Actively contribute to and shape our Technology Strategy, Culture, and Ways of Working as a member of the Technology Management Team. - Manage budgets and third-party relationships to ensure the financial health of the business. Management Responsibilities - Actively give feedback to direct reports to improve their performance and recognize great work. - Mentor direct reports and others. - Own team engagement scores and contribute to their improvement. - Support career coaching with personal development plans. Qualifications - Proven track record of leading and improving the quality, performance, stability, and scalability of platforms. - Experience fostering strong engineering cultures, including Feedback, Fearless, Growth, etc. - Capable of providing clear, actionable direction in complex situations to ensure alignment across teams and stakeholders. - Experience developing technical strategies for an engineering discipline and gaining buy-in from senior stakeholders. - Experience working closely with Product and Commercial leadership to deliver business solutions. - A natural mentor with the ability to guide engineering teams through coaching and influence. - Exceptional communication skills, with the ability to translate and clarify technical direction for non-technical stakeholders. Highly Desirable Skills (Nice-to-Have) - Knowledge of Azure Cloud Services. - Familiarity with JavaScript, TypeScript, and React. - Familiarity with NodeJS, Back-for-frontend (BFF) pattern. - Experience with CI/CD pipelines (e.g., Azure DevOps). - Knowledge of unit testing frameworks (Jest/Cypress/Playwright) and a shift-left testing mindset. - Exposure to DevOps technologies (e.g., Kubernetes, Docker, Helm Charts, Terraform). - Experience with event-driven and microservices solutions. - A calming and positive presence that helps teams maintain perspective. - Experience fostering an architectural mindset within engineering teams. - Vision and drive to push toward CI/CD and further automation. Benefits - Working for the customer directly, ownership culture. - 20 fully paid business days of vacation. - 15 fully paid sick leaves. - Public holidays. - Compensation for health insurance and sports club membership (after trial period). - Ability to work from home or remotely. Apply and Join Us Today! ✨

Role Description We're looking for a Senior UI/UX Designer to own the visual and interaction design of our product. You'll work closely with product and engineering teams, focusing on delivering polished, user-centered design — from early wireframes through to final visual execution, while our dedicated product team handles strategy and roadmap. - Create wireframes, prototypes, and high-fidelity designs for new and existing features - Own the visual design language and ensure consistency across the product - Conduct usability testing and translate findings into design improvements - Collaborate with engineers to ensure accurate implementation of designs - Use Mixpanel to analyze user behavior and inform design decisions Qualifications - Strong portfolio demonstrating UI/UX work across web and/or mobile products - Expert-level Figma skills - Solid understanding of usability principles and interaction design - Experience using product analytics tools (Mixpanel or similar) - Ability to work independently and take ownership of the design process - Strong attention to detail and visual craft Requirements - Experience in SaaS or B2B products (Nice to Have) - Familiarity with design systems and component libraries (Nice to Have) Benefits - Work directly with the customer, in a culture of ownership and impact - 20 fully paid vacation days - 15 fully paid sick leaves - Paid public holidays - Compensation for health insurance and sports club membership (after trial period) - Remote work flexibility

Role Description We are looking for a Senior / Strong Middle MLOps Engineer to own ML infrastructure, model deployment, and data pipelines across the platform. This is a hands-on role at the intersection of MLOps, DevOps, and Data Engineering, focused on scaling AI systems and bringing models into stable, cost-efficient production. Responsibilities - Build and maintain scalable ML infrastructure for training and inference - Deploy and optimize ML models (batch and real-time) - Work with embeddings pipelines and vector databases - Optimize performance and cost of model deployments - Manage Kubernetes environments (EKS/GKE or similar) - Implement Infrastructure as Code (Terraform) - Build and maintain ETL/ELT pipelines - Optimize database performance (Postgres, large-scale data) - Improve CI/CD pipelines and deployment workflows - Implement monitoring and observability (Prometheus, Grafana) - Collaborate with AI engineers to productionize models Qualifications - 3–5+ years in MLOps / DevOps / Data Engineering - Strong Python skills - Hands-on Kubernetes experience - Experience with AWS or similar cloud - Experience deploying ML models to production - Solid CI/CD and Docker experience - Strong SQL and database experience (PostgreSQL) - Experience with Terraform or other IaC tools Requirements - Experience with large-scale inference or embeddings pipelines - Performance and cost optimization of ML systems - Experience with Airflow, MLFlow, Spark, or DBT - Experience with vector DBs and RAG systems - Exposure to LLM-based systems (LangChain, OpenAI, etc.) Benefits - Experience with AI-first or agent-based platforms - Experience with multi-tenant SaaS architectures - Multi-cloud experience (AWS + GCP) Key Competencies - Strong ownership and hands-on mindset - Ability to work across MLOps, DevOps, and Data domains - Focus on performance, scalability, and cost optimization - Comfortable working in fast-paced startup environment

Role Description We are looking for an experienced Full‑Stack Engineer skilled in Angular, C#/.NET, Azure, and Docker. You will work within a Scrum team and contribute across the full stack depending on sprint priorities. The system is API-driven, cloud-native, and built on a large, scalable codebase requiring strong engineering discipline and clean coding practices. Qualifications - Frontend development with TypeScript and Angular - Backend development with C# and .NET - Database experience with Azure SQL - Experience with MongoDB is a plus - Asynchronous communication using Azure Queues and Redis - Mobile app frontend development using the Ionic Framework - Containerization using Docker - Experience working with Scrum in sprint-based development - Strong understanding of frontend state management (e.g., NgRx or similar) - Experience working with a large, scalable codebase and best practices for maintaining and growing it Benefits - Working for the customer directly, ownership culture - 20 fully paid business days of vacation - 15 fully paid sick leaves - Public holidays - Compensation for medical expenses and sports club membership (after trial period) Company Description smino is a fast‑growing SaaS platform used by architects, planners, and construction companies to manage projects from planning to handover. The product supports seamless communication, documentation, and task management across all stakeholders in a construction project. The platform is collaborative, mobile, and designed to streamline workflows in a traditionally complex industry.

Role Description We are looking for a Technical Customer Support Engineer (L1/L2) to support our customers by troubleshooting technical issues, resolving common problems, and investigating more complex product-related incidents. In this role, you will act as both Tier 1 and Tier 2 support , working directly with customers through our ticketing system (primarily Zendesk) while collaborating closely with engineering and platform teams to ensure timely issue resolution. What you’ll be responsible for? - Serve as the first point of contact for customer technical issues via email, phone, and web forms - Diagnose and resolve Tier 1 and Tier 2 support issues , including account access, configuration, connectivity, and product functionality problems - Guide customers through step-by-step troubleshooting using runbooks and knowledge base resources - Investigate more complex product issues and gather diagnostic information before escalation - Document issues clearly in the ticketing system, including reproduction steps, error messages, and troubleshooting history - Escalate unresolved or critical issues to engineering or SRE teams with full technical context - Maintain clear and professional communication with customers throughout the resolution process - Contribute to improving knowledge base articles and troubleshooting documentation Qualifications - 3+ years of experience in technical customer support, technical support engineering, or helpdesk roles - Hands-on experience with ticketing systems such as Zendesk, Freshdesk, ServiceNow, or Jira Service Management - Familiarity with authentication and access management , including password resets, 2FA/MFA, and Single Sign-On (SSO) - Basic understanding of Identity and Access Management (IAM) concepts and tools such as Okta, Azure AD, Google Cloud Identity, or OneLogin - Experience supporting common collaboration tools such as Google Workspace and Slack - Upper-intermediate or higher English level Benefits - 20 fully paid business days of vacation - 15 fully paid sick leaves - 11+ fully paid public holidays - Compensation for health insurance and sport club membership - Ability to work from home or remotely

Role Description Imagine a bank that actually understands you—one that reads your spending patterns, predicts what you need before you ask, and talks to you like a smart financial friend, not a corporate robot. Mal is building the world's first AI-native Islamic digital bank where every interaction is powered by intelligent conversation, ethical principles, and interfaces that adapt to your life in real-time. Backed by $230M and led by the minds behind Revolut and Nubank, they're launching in 2026 to serve 2 billion Muslims and underbanked communities who've been ignored by traditional finance. Responsibilities - Build high-performance, responsive mobile UIs with React Native and TypeScript for iOS and Android - Design modular component systems and data-rich mobile dashboards optimized for touch interfaces - Integrate AI-driven logic, context persistence, and LLM-powered interactions into native mobile experiences - Collaborate with backend, ML, and product teams to deliver adaptive financial workflows for mobile users - Optimize performance, scalability, and accessibility across iOS and Android devices (battery life, network efficiency, native animations) Requirements - 5–8 years in mobile engineering, ideally building complex financial or data-rich mobile applications - Strong in React Native (Hooks, Context API, performance optimization, native module integration) - Expert in TypeScript for React Native development - Production experience with iOS and Android deployment (App Store + Google Play) - Fluent in mobile-first UI architecture, responsive layouts, and component design systems - Native platform knowledge (iOS/Android specifics, platform APIs, performance patterns) - Solid grounding in Git, CI/CD for mobile, and automated deployment workflows (Fastlane, CodePush, etc.) Benefits - AI-First Frontend: Build intelligent, adaptive interfaces that rethink how people interact with their money. - Zero-to-One Scope: Shape the visual and experiential layer of a new Core Banking system. - Cross-Platform Reach: Design for both web and mobile with shared intelligence and coherence. - Collaborative Core: Work directly with backend, ML, and design leads to define Mal’s next-generation banking experience. - Global Impact: Ship the systems powering the next wave of ethical, intelligent banking across MENA and beyond.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Senior Software Engineer, Browser Automation & RPA to join KayN team. This is a founding-level engineering position on a small team. You will own entire systems, from design to production. We need a senior engineer with deep browser automation and RPA experience who works well in ambiguity and can independently drive new portal integrations from scratch. Key Responsibilities - Build and maintain browser automation agents that interact with third-party insurance portals — each agent handles authentication, patient search, and structured data extraction for a specific portal. - Run the agent development lifecycle: capture pageKnowledge artifacts (schemas, XPath selectors, screenshots) using AI-powered ingestion pipelines, iterate through selector enhancement loops, and manage S3 cache deployment. - Build portal-to-canonical data translators that map portal-specific eligibility data to a structured canonical format — including string parsers, procedure code classifiers, and coverage lookup logic across medical and dental benefit categories. - Write data extraction pipelines using XPath selectors, DOM traversal, and PDF parsing for portals that serve benefits as downloadable documents. - Design and maintain a multi-layer caching architecture (session, action, branch detection, MFA, pageKnowledge) that keeps production agents running without LLM calls at runtime. - Build AI-powered tooling and pipelines that generate and maintain automations (schema generation, selector creation, iterative enhancement). - Debug production automation failures — including cache misses (LlmDisabledError), session expiry, selector drift, and portal UI changes — across 20+ insurance portals. - Make technical decisions on system design, tooling, and implementation independently. - Shape the platform architecture alongside the rest of the engineering team. Qualifications - 5+ years of software engineering experience. - Extensive Playwright experience including CDP, browser contexts, cookie/session management, network interception, and headless SPA behavior. - Background in test engineering, QA automation, or SDET roles — experience building automation infrastructure at scale. - Strong TypeScript skills (Node.js and browser environments). - Deep XPath expertise: anchor-then-navigate patterns, attribute-anchored locators, text-based and positional fallbacks, and XPath debugging against live SPAs. The system is XPath-first; CSS selectors are not used in extraction. - Solid understanding of browser internals: DOM, accessibility trees, CDP protocol, and how modern frameworks affect headless automation. - Experience using AI/LLM APIs to build production features (structured output, prompt engineering, tool use). We use LLMs heavily for schema generation, selector creation, and branch detection — but production agents run in cache-only mode (llmEnabled=false). Comfort with the workflow of building and validating caches locally, then promoting to S3 for production use. - Good architectural and system design skills. Preferred Qualifications - Production RPA or web scraping experience. - Healthcare insurance domain knowledge: procedure codes (CPT, CDT, ICD), coverage tiers, deductibles, prior authorization rules, benefit period logic, and frequency limitations. This domain expertise directly informs how portal data is classified and translated. - PDF parsing experience — some portals deliver benefit breakdowns as downloadable PDFs rather than HTML; extraction requires table parsing in addition to DOM traversal. - AWS (ECS, S3, Lambda). - Monorepo development (pnpm workspaces, Turborepo). - Next.js / React experience. Benefits - 20 fully paid business days of vacation. - 15 fully paid sick leaves. - 11+ fully paid public holidays. - Compensation for health insurance and sport club membership. - Ability to work from home or remotely.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are looking for a Senior Backend (Python) / Workflow Engineer to help design and build the core backend services powering a large-scale procurement platform used across the organization. This role focuses on building robust backend systems, complex workflow logic, and system integrations that enable automated approval flows and operational processes across multiple internal and external platforms. You will work closely with the Procurement Workflow Tech Lead to design scalable backend architectures, implement workflow orchestration, and ensure the reliability of mission-critical services. This is an opportunity to work on complex enterprise workflows, system integrations, and orchestration challenges while contributing to a platform that supports high-impact government and research initiatives. What You’ll Do - Design and develop scalable backend services and APIs using Python. - Build and maintain workflow orchestration logic, including state machines and approval flows. - Implement integrations between internal services and external enterprise systems. - Contribute to system architecture and backend design decisions. - Ensure services meet high standards for performance, reliability, and maintainability. - Work with both modern microservices and legacy systems, improving and evolving existing components. - Troubleshoot complex backend issues and optimize system performance. - Collaborate closely with engineers, product stakeholders, and the Procurement Workflow Tech Lead to deliver robust solutions. Qualifications - Strong experience as a Senior Backend Engineer with Python. - Solid understanding of system design and backend architecture. - Experience building production-grade APIs and backend services. - Experience working with workflow engines, orchestration systems, or complex enterprise platforms. - Familiarity with state machines, approval flows, or process automation systems. - Ability to work comfortably across both legacy and modern architectures. - Strong analytical thinking and problem-solving skills. - A pragmatic, delivery-focused engineering mindset. Nice to Have - Experience with workflow orchestration tools such as Temporal, Camunda, Airflow, or similar. - Experience with distributed systems or microservices architectures. - Background in enterprise integrations or large internal platforms. Why This Role - Work on complex workflow systems and enterprise-scale integrations. - Contribute to platforms supporting high-impact national technology initiatives. - Influence backend architecture and system design decisions. - Collaborate with experienced engineers in a research-driven technology environment.