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We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
What you'll do:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

We're looking for a Frontend Engineer to build our Web products. The web is a first-class product surface for us, powering our core AI English learning product, Business dashboards, and user acquisition initiatives. You'll own features end-to-end, from Figma to shipped, performant UI, collaborating closely with design, product, and non-technical stakeholders.
What you'll do:
Build and ship core product features across our core AI English tutor web experience alongside to acquisition funnels, dashboards, SEO and our company site
Turn Figma designs into clean, accurate, responsive UI
Extend and improve our internal component library
Partner directly with designers, PMs, and non-technical stakeholders to shape and refine features
Continuously improve web and mobile-web performance - load time, rendering, bundle size
Own test coverage for the features you build
Make technical tradeoffs independently and drive decisions in your area
Incorporate AI/agentic coding tools into your day-to-day workflow

we are looking for a Senior DevOps Engineer with deep AWS expertise and strong hands-on experience with Kubernetes, GitOps, and Infrastructure as Code.
In this role, you will design, automate, and scale secure, highly available infrastructure and CI/CD pipelines supporting flagship product. Beyond hands-on engineering, you will play a key role in shaping platform architecture, driving DevOps best practices, mentoring engineers, and continuously improving the reliability, scalability, and efficiency of our production environments.
Responsibilities:
Architect and manage secure, scalable, and highly available AWS environments, including multi-account and multi-region architectures.
Design and implement GitOps-driven CI/CD processes using ArgoCD, Argo Workflows, GitHub Actions, and related tooling.
Lead Infrastructure as Code (IaC) practices using Terraform and additional technologies such as Pulumi and Crossplane.
Build, operate, and maintain production-grade Kubernetes (EKS) environments, including Helm-based deployments and cluster lifecycle management.
Automate infrastructure provisioning, application deployment, and operational workflows across development, staging, and production environments.
Drive DevSecOps practices, including security scanning, secrets management, and compliance automation.
Establish and continuously improve monitoring, logging, and observability using tools such as Datadog, Prometheus, Grafana, and OpenTelemetry.
Partner closely with development teams to enable seamless application integration and rapid, reliable software delivery.
Optimize infrastructure for scalability, resilience, performance, and cost efficiency.
Mentor engineers, promote DevOps best practices across teams, and contribute to platform and architecture decisions.
Participate in and continuously improve the on-call rotation supporting mission-critical production systems.

We value team players with technical excellence and a sense of ownership who know how to choose the right tool for the right task.


What you'll be doing

Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Write clean, highly scalable, and top-quality code that sets industry standards.

Work closely with the Product, Architects, DevOps, and BI.

Continuously learn and stay up to date with emerging trends and technologies in the industry.

Drive innovation by researching and implementing new technologies and best practices within the development team.

we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Implement and manage CI/CD pipelines for continuous integration and deployment.
Monitor system performance and troubleshoot issues as they arise.
Collaborate with development and IT teams to streamline workflows.
Manage cloud infrastructure and ensure high availability and scalability.
Automate system processes and infrastructure deployment using tools like Docker, Kubernetes, or

We are looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.

Key Responsibilities
Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
Design solution components, data flows, integrations, model interactions, and operational workflows.
Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
Lead architecture workshops and technical discussions with customers and internal teams.
Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.

We are looking for an AI Solution Engineer to design, implement, deploy, and operate AI-powered solutions for enterprise customers.

This is a hands-on, multidisciplinary role combining AI, integrations, customer-facing work, and technical problem-solving. Youll work directly with customers from discovery and solution design through implementation, production deployment, monitoring, and optimization.

Youll build solutions including Voice AI Agents, Text Agents, conversational workflows, and AI-powered conversation analysis, while supporting customers using our SaaS platform.

Key Responsibilities
Design, configure, and deploy Voice AI Agents, Text Agents, and conversation analysis solutions.
Translate customer business processes and requirements into working AI solutions.
Own customer implementations end-to-end, from technical discovery and solution design through production deployment.
Integrate us with APIs, CRM systems, telephony/PBX platforms, databases, knowledge bases, and other enterprise systems.
Configure prompts, workflows, business logic, AI models, tools, and integrations according to customer requirements.
Monitor production AI agents, troubleshoot technical issues, perform root-cause analysis, and continuously optimize performance.
Support enterprise customers using the SaaS platform.
Work closely with Product, R&D, Sales, and Customer Success, bringing insights from customer implementations back into the product.
Manage multiple customer implementations simultaneously and take ownership through successful production delivery.

We are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.


What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.

Our team is looking for a Senior Backend Developer with a passion for solving complex scaling problems with a good understanding of efficient, forward-looking system design. Our desired candidate has a can-do attitude that will inspire and help us build rocket ships. om scratch'

What You'll Do


Shape the Core - Design, build, and scale the companys infrastructure at the heart of our product.
Raise the Bar - Continuously refine system architecture, set high technical standards, and push for engineering excellence.
Collaborate Across the Board - Work hand-in-hand with R&D, product, and other teams to deliver powerful cross-platform features.
Engineer for Scale - Architect and build features that thrive in the AI era.
Be a Force Multiplier - Drive improvements in our development processes, tools, and frameworks, so the whole team can move faster and smarter.

Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

Our group is responsible for building software enabling both the large-scale quantitative research operations that drive our platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firms next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

We are currently seeking a highly motivated and capable individual to join the Information Systems team at Infinidat as a J unior Automation & Systems Developer The Information Systems team is dedicated to optimizing business processes through automation, integration, and the development of new information systems, increasingly using AI-assisted development tools (e.g., Claude, Cursor) to build applications from scratch, not just connect existing ones. This role will primarily focus on Workato development, Jira customizations, scripting, and process automation, while contributing to the team's growing work building new internal systems. By integrating diverse platforms and enhancing workflows, the team drives operational efficiency across multiple departments. We prioritize continuous innovation to ensure seamless system integration, reducing manual tasks while maximizing overall impact.

Responsibilities:
* Develop and maintain automation workflows using Workato to integrate business systems
* Help build and extend internal information systems using modern AI-assisted development tools (e.g., Claude, Cursor), turning business needs into working tools alongside the team
* Customize and develop Jira solutions, including scripting, workflow optimization, and REST API integrations
* Design and implement process automation across multiple platforms (e.g., salesforce, NetSuite, Confluence, Agile)
* Troubleshoot and enhance existing automations and systems to improve efficiency and reliability
* Collaborate closely with business stakeholders to understand their needs and convert them into actionable technical solutions
* Write clean, maintainable code using Python, JavaScript, or other relevant scripting languages
* Additionally help support Domo/ BI development (~20% capacity), assisting with ETLs, data connections, and dashboards, to help manage current team workloadDocument automation processes and systems thoroughly to ensure knowledge sharing and scalability

our company's AI division, delivers AI and software transformation services to leading enterprises in Israel. Backed by our company's team of over 360 professionals, we approach every engagement with high standards, commitment, and agility.
We're looking for a strong Senior Fullstack Developer to join a flagship digital-transformation program at a leading Israeli bank. In this role, you'll design, specify, and develop backend (.NET Core) and frontend (React) components of complex, distributed systems, working in an on-prem containerized environment and making smart use of AI tools throughout development.
What You'll Do
Design, specify, and develop backend (.NET Core) and frontend (React) components of complex, distributed systems.
Help drive a software architecture that meets high standards of performance, scalability, and information security.
Design and integrate internal and external REST APIs.
Build event-driven architecture, including the system's messaging backbone.
Work in an on-prem containerized environment, making smart use of AI tools - including Claude Code - as part of your daily development workflow.

Required Software Engineer III, Filestore
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Responsibilities
Be responsible for developing many new customer facing features critical for meeting product business roadmap, as well as enhancing existing infrastructures for better reliability and new requirements.
Work with peers from other aspects of the product development lifecycle, including all filesystem engineering teams, program management, CP, DP, SRE, UX/UI.
Participate in the development of new features, infrastructure, and performance improvements in a complex distributed and performance sensitive system.
Help grow and mentor the team, be a part of a well-experienced group and impact the critical architecture and design decisions.
Work with product and customers, to best fit future requirements.

We are hiring an Applied Data Scientist to build the models that turn raw transaction data into the insights our banks customers see every day.
The stack is deliberately wide: classical ML on tabular data, deep learning, LLM-based systems, and agentic flows. We choose the right approach for each problem, balancing analytical quality, production readiness, and time to market. You drive the analytical work, working closely with Product and Engineering to take ideas from evidence through production.
Responsibilities:
Analyze and interpret complex datasets to identify trends and patterns.
Collaborate with cross-functional teams to develop data-driven solutions.
Build and maintain predictive models to enhance business decisions.
Communicate findings and insights effectively to stakeholders.
Stay updated with the latest data science technologies and methodologies.
Contribute to the continuous improvement of data processes and systems.