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we are looking for a Site Reliability Engineer.
Role Responsibilities:
Write high-quality infrastructure-as-code that automates the provisioning, deployment, scaling, and monitoring of infrastructure to ensure that it is reliable and performant
Write maintainable code for product functionality with a primary emphasis on operations, scale, resiliency, and monitoring
Work with other engineers to ensure that new services are well-designed, properly monitored and have well-defined SLIs and achievable SLOs
Debug production issues, learn to mitigate them quickly, and find ways to prevent them
Maintain runbooks for manual tasks and replace those runbooks with automation whenever possible
Proactively track our capacity, quotas, and other performance limits to plan for growth
Participate in a 24x7 on-call rotation to handle product availability issues as well as urgent customer support escalations

Review and analyze system specifications and requirements to create and update comprehensive test case documentation (STD, STP).
Perform manual testing for special on-demand flows, ensuring thorough coverage and effectiveness..
Validate that new features are tested to meet acceptance criteria and align with quality standards.
Collaborate with a cross-functional R&D team using scrum methodology, contributing actively to continuous improvement initiatives
Read and analyze logs to identify issues, trends, and escalation points.
Provide reports on progress, testing outcomes, and quality metrics to stakeholders, ensuring transparency and communication throughout the testing process.

Were building agentic AI for real-world CX. As an AI Engineer at our company, youll craft scalable, low-latency AI systems - from LLM orchestration to real-time APIs - using Python, LangGraph, and modern cloud stacks. Fast-paced, high-impact, and deeply hands-on.
What youll do
Design, build, and maintain real-time AI-powered APIs and services in Python.
Architect, optimize, and deploy LLM workflows leveraging LangGraph or similar orchestration frameworks.
Develop agentic logic and reasoning pipelines for conversational and task-based automation.
Build scalable infrastructure to support multi-model, low-latency, and streaming AI experiences.
Collaborate with backend and product teams to translate complex customer workflows into reliable AI systems.
Ensure high performance, reliability, and data security across production workloads.
Deploy and manage applications on modern cloud environments (AWS / GCP)
Implement monitoring, logging, and fault-tolerance mechanisms for production-grade AI systems.
Contribute to architectural and product decisions, balancing innovation, safety, and scalability.

As a Senior Backend Engineer, you will play a pivotal role in scaling and evolving the core systems that power our company's agentic AI platform. With a product already live in production, you will work closely with our engineering leadership to take our infrastructure to the next level- from real-time orchestration and automation logic to scalable APIs and data pipelines.
You'll work at the heart of our stack, combining Node.js and Python to build high-performance, reliable backend services that power our voice and digital agents, analytics, and AI integrations. This is a hands-on role for a highly self-sufficient builder who loves elegant systems, clean code, and moving fast without breaking things.
What You'll Do
Drive Execution: Act autonomously to define your own technical tasks, prioritize effectively, and push features to the finish line while collaborating seamlessly with a tight-knit core team.
Build & Scale: Collaborate on system architecture and build out scalable backend services in Node.js and Python for our growing production workloads.
Orchestrate AI: Integrate large language models (LLMs) and build multi-step, reasoning-based AI agent workflows using frameworks like LangGraph (a strong plus).
Enhance Infrastructure: Own backend performance, observability, and infrastructure scalability, optimizing services in a cloud-native environment (AWS / GCP).
Cross-Functional Collaboration: Work closely with frontend, AI, and product teams to design and implement impactful cross-functional features.
Data & Delivery: Manage databases, caching, and distributed systems with strong data modeling practices, while upholding rigorous engineering standards and CI/CD practices.

Join our company as a Senior Full Stack Engineer and help architect our Agentic AI System. Youll be responsible for building the entire lifecycle of our product-from high-performance Node.js services on AWS to polished, real-time React experiences that make AI feel human.
In this role, you will bridge the gap between complex AI logic and intuitive user interfaces. Youll have a seat at the table to influence our technical foundation, backend architecture, and product direction as we scale AI-native customer experiences to millions of SMBs.
What youll do
End-to-End Ownership: Build and maintain scalable, performant web and mobile applications using React, TypeScript, and Node.js.
Architect for Scale: Design and implement robust backend services and APIs on AWS to support real-time, agent-driven features.
AI Integration: Collaborate with AI engineers to integrate sophisticated LLM orchestrations and live customer interactions into a seamless product experience.
Foundation Building: Shape the architecture, standards, and CI/CD pipelines of our companys full-stack systems.
Product Craftsmanship: Partner with product and design to craft highly polished, intuitive, and delightful user experiences from the database to the UI.
Technical Leadership: Champion best practices in system design, performance, security, and code quality.

we are looking for a Technical Support Engineer.
As a Technical Support Engineer you will
Respond promptly and professionally to customer inquiries via phone, email, or chat, providing technical support and troubleshooting assistance.
Work to meet and exceed internal and external SLAs
Identify and diagnose software issues, and guide customers through step-by-step resolutions.
Escalate complex technical issues to higher-level support teams when necessary, ensuring proper documentation and follow-up.
Assist customers with product installations, configurations, and updates.
Collaborate with cross-functional teams, including developers and engineers, to address customer concerns and provide effective solutions.
Document and maintain records of customer interactions, inquries, comments, and actions taken, utilizing the ticketing system.
Provide proactive customer education and self-help resources to reduce repetitive inquiries and improve customer satisfaction.
Collaborate with the Quality Assurance team to identify and report software bugs and usability issues.
Help develop and implement support methodologies, build workflows and define support operations
Gather customer feedback and share it with QA, R&D, Engineering, and Production teams.
Strive for best-in-class support experience and drive exceptional CSAT results
Stay up-to-date with product knowledge, industry trends, and technology advancements to provide accurate and efficient support.

We are seeking a highly motivated and experienced Senior Networking Engineer to join our rapidly growing team.
It is a rare opportunity to join a group of experts and master skills in all aspects Networking, developing a state of the art products. You will collaborate with HW and the VLSI teams.

We are looking for a Senior Backend Engineer to join our Analytics team based in Israel. This role reports to the Manager, Software Engineering. we curates and contextualizes data from hundreds of security and business tools to help companies understand and address their riskiest problems.
You will leverage our robust data platform and security modules to provide immediate benefits to customers while making the world a more secure place.
What youll do (Role Expectations):
Design, develop, and maintain scalable backend services within a cutting-edge microservices architecture using Scala and Java/Spring Boot
Optimize performance, cost, and reliability of services in production while ensuring efficient data management across stores like Snowflake, Trino, and Apache Iceberg
Drive innovation in semantic layers, query optimizations, and analytics capabilities to refine and expand our technology stack
Operate seamlessly across product, UX, and frontend teams to deliver high-scale features from inception to production
Mentor junior engineers and elevate the teams technical capabilities through high-accountability partnership

We are looking for a Senior Frontend Engineer to join our Analytics team. This is a hybrid role based in Israel, reporting to the Manager, Software Engineering.
Youll thrive on turning deep analytical challenges into elegant, simple user experiences by mastering our powerful semantic layer and customer use-cases. Our team creates the lens through which customers explore their data, empowering security experts with intuitive tools that transform complex information into clear, actionable insights.
What youll do (Role Expectations):
Architect and develop user interfaces for our Analytics platform using React and TypeScript
Build efficient, reusable, and scalable frontend features that leverage our semantic layer and data infrastructure
Lead technical design and development cycles from concept through to production
Partner closely with UX designers, product managers, and other engineers to bridge the gap between technical power and user experience
Drive the evolution of our frontend stack by researching and applying new technologies and best practices

Were looking for a Senior Software Engineer, iOS to join our company and work on consumer-facing, Generative AI-first applications, helping drive our creator ecosystem and deliver delightful mobile experiences.
Qualifications
5+ years professional iOS development experience (Swift & Objective-C)
Experience building B2C, consumer-facing apps and delivering features end-to-end
Strong knowledge of iOS frameworks (UIKit, Foundation, Core Animation, Core Data)
Understanding of Swift/Objective-C runtime, OS internals, and mobile optimization
Proficiency in multithreading, performance tuning, and software design patterns
Strong CS fundamentals (algorithms, data structures) and problem-solving skills
Collaborative and proactive, able to work effectively with product, design, backend, and iOS teams
Familiarity with modern development workflows.

Were looking for a Lead Software Engineer, iOS to work on consumer-facing, Generative AI-first applications, helping drive our creator ecosystem and deliver delightful mobile experiences.

We are looking for a Fullstack Team Leader who can rally a team behind a vision, build it efficiently, and have the foresight to help the company scale through software. This position is meant for those who want to be in the thick of things and make impactful decisions.
You will be building and maintaining our most sensitive systems and platforms that enable and empower our companys growth. Our system supports millions of requests per second and should be built to scale and high performance. In our data-driven environment, your team's planning and implementation has a crucial role in our ability to support our clients.
we are a fantastic place to work. We reward talent. Our employees support each other to advance individually and as a team. Most of all, we exceed our clients expectations while still having fun.
Responsibilities:
Design, code, and manage large scale, highly available, real-time (low latency) services using cutting edge technologies (Node.js, React, Redis, Kubernetes, etc. over AWS).
Lead and mentor a team of around 4 members, abroad, and performing code reviews to other team members.
Work with stakeholders including the Executive, Product, Data, and Design teams to craft the most optimal solutions for our problems.
Design and develop APIs or integrate with 3rd party APIs.
Manage a time-efficient sprint plan. Plan, groom and manage the present sprint and the upcoming ones with Product.
Understand and implement security and data protection needs, and assist in-house teams and supply creative solutions for various problems.

We are seeking a Senior Data Engineer to join our R&D organization as part of a backend-oriented team, responsible for building and scaling the core data infrastructure.
In this role, you will design and develop data pipelines that stream and process data directly from production systems. You will play a key role in shaping our data platform, building robust, scalable infrastructure and pipelines using modern technologies, and working hands-on with both new components and existing systems.
Responsibilities
Collaborate as a strong team player within a dynamic, cross-functional environment
Design, develop, and maintain scalable data models, Lakehouse architectures, pipelines, and ETL processes
Enhance data workflows to support efficient real-time and batch processing
Work closely with cross-functional teams to understand data requirements and deliver impactful solutions
Stay up to date with the latest data engineering technologies and best practices, continuously improving our data platform.

We are looking for an ML Engineer / MLOps Tech Lead to promote machine learning engineering excellence. Someone who is passionate about building scalable, high-quality data products and processes, while ensuring production systems maintain strong real-time performance observability.
You will focus on designing and maintaining the core infrastructure that empowers the Machine Learning Engineers working within Data Science product teams. Youll collaborate closely with stakeholders across data science, product, and engineering, playing a pivotal role in driving the business by architecting and enabling the infrastructure for machine learning model development, serving, and lifecycle management-the foundation of our product.
Responsibilities:
Collaborate with product, data science, and engineering teams to solve complex problems, identify trends, and create opportunities through robust ML infrastructure.
End-to-end ML delivery - enabling model performance development, training, validation, testing, and version control.
Build and support monitoring and observability tools - dashboards, alerts, and performance tracking of models in production.
Lead architecture projects such as: Feature Store, Vector / Graph Databases.
Data wrangling - supporting and enabling data requirements for research, training, validation, and testing.
Drive engineering best practices including code and model versioning, CI/CD pipelines, rollout strategies, and disaster recovery procedures.

we are on a mission to bring identity security everywhere - to every human, machine, and AI agent, both on-prem and in the cloud. Our unique technology secures identities & access at runtime, in ways that werent possible before. With the broadest identity security platform in the market, trusted by more than 1,000 customers including many Fortune 100 companies, we are uniquely positioned to lead the fast-growing identity security category.
Joining our company means becoming part of a fast-moving team with a culture of innovation and collaboration, that goes above and beyond to help our customers and each other, on a journey to reshape the future of identity security.
As a DevOps Engineer, youll design and implement a full CI/CD solution on AWS and Azure with Kubernetes, while supporting and scaling our cloud infrastructure using Infrastructure as Code.
Responsibilities
Design and implement robust, scalable, and highly available cloud solutions to ensure seamless service delivery and support rapid business growth
Focus on cross-service integrations and components within the SaaS stack, adhering to DevOps best practices
Develop, enhance, and maintain CI/CD pipelines using a GitOps-driven approach, ensuring efficient and secure deployment workflows
Streamline processes through automation, focusing on scalability, security, metric collection, and enhanced visibility across environments
Partner with developers to optimize service reliability, performance, failover strategies, and scalability
Work as part of an innovative and high-performing team, leveraging modern tools and technologies.