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לפני 4 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower over 4,300 customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical and good people.
we are looking for a senior backend engineer to build the distributed services, data access layers, and agent orchestration behind our ai-powered products - systems that serve analytics over billions of rows and run long-lived, llm-driven workflows in production.
what you'll do:
this role combines deep backend and distributed systems expertise with product thinking and the ability to leverage ai tools effectively across the development lifecycle. you will work closely with product, design, frontend, and data /ai teams to build reliable, performant services, while driving engineering excellence and modern development practices. your contributions will shape the technical foundation of an ai-first product and directly influence what end users can ask of it.
what does the day to day of a senior backend engineer at the company look like:
your daily work will span service architecture, data access at scale, workflow orchestration, and ai-augmented development, engaging directly with the systems that power our product.
your role will include:
design and build scalable, maintainable backend services in Python (fastapi, pydantic, asyncio) and typescript (nestjs / Node.js )
own api design, contracts, and versioning across services - including the tool surfaces (mcp) our ai agents call directly
design and optimize data models, schemas, migrations, and query performance across transactional (postgresql) and large-scale analytical stores (firebolt, athena, duckdb)
build and operate asynchronous, long-running execution: durable workflow orchestration (temporal), queues, scheduled jobs, and event-driven processing
integrate llm and agent runtimes (langgraph, mcp, model apis) into production services behind deterministic, testable boundaries
implement authentication, authorization, and secure service-to-service integration patterns across an internal service mesh
build resilient upstream data -fetching layers: timeouts, retries with backoff, caching strategies, and graceful degradation when a source is slow or down
lead backend technical decisions, code quality standards, and system architecture
ensure system scalability, fault tolerance, and observability - structured logging, metrics, distributed tracing, and alerting that makes production debuggable
own services end to end in production: ci/cd pipelines, containerized deployments to kubernetes, and the debugging that follows
partner with frontend engineers on api contracts, data shapes, performance budgets, and UX constraints - designing for the consumer without owning the UI
translate product requirements into robust, scalable technical solutions, working closely with product and design
conduct high-quality code reviews and drive architectural discussions and best practices
improve testing across the pyramid - unit, integration, and end-to-end against real service stacks - alongside observability and reliability
use ai coding tools effectively in daily development work (claude code, cursor, copilot, etc.), critically evaluating and refining ai-generated code, especially for backend logic and data integrity
design efficient personal/team workflows for ai-assisted development and contribute to engineering productivity through ai tooling and automation
דרישות:
what does the ideal candidate look like:
5+ years of backend engineering experience, building and operating production services at scale#ENGLIS המשרה מיועדת לנשים ולגברים כאחד.
 
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11/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for an experienced Backend Engineer to help build the core infrastructure behind our company's agentic AI system.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.
Requirements:
5+ years of professional backend engineering experience.
Strong expertise in Python and production service development.
Experience building complex, production-grade backend systems such as APIs, data pipelines, distributed systems, or workflow engines.
Hands-on experience or strong practical familiarity with LLMs, agentic AI, tool calling, RAG, workflow orchestration, or AI infrastructure.
Ability to design systems that use AI safely: validation, guardrails, evaluation, observability, and controlled execution.
Solid understanding of databases, data modeling, and API design.
Comfort working with ambiguous product requirements and turning them into robust technical designs.
Excitement about building a new category and solving problems that do not have off-the-shelf answers.
Nice to Have:
Experience with identity, security, governance, permissions, or enterprise SaaS integrations.
Experience with LLM evaluation, tracing, observability, or production AI systems.
Experience building systems that automate complex operational workflows end-to-end.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
we are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Backend Engineer in the Routing team, you will be responsible for designing, building, and scaling the backend systems that power our companys core products. Youll work on high-impact, distributed services that manage geospatial data, large-scale databases, real-time events, and mission-critical workflows used across multiple teams and regions. Your work will directly influence system reliability, performance, and developer productivity at scale.
You will collaborate closely with Product, Infrastructure, Data, and other engineering teams to define system boundaries, evolve shared services, and ensure our backend platform can support rapid product growth. You will be part of a highly skilled and motivated engineering group responsible for building robust, scalable, and maintainable backend systems that operate in real time and at high load.
What Youll Do:
Design, build, and scale backend systems and data pipelines that power our companys GIS and mapping platform, from initial design through production deployment and long-term ownership.
Own features end-to-end with strong accountability, including design, implementation, testing, deployment, monitoring, and ongoing maintenance.
Develop and maintain Python-based data pipelines that ingest, process, and transform large-scale OpenStreetMap (OSM) and other geospatial datasets.
Model, store, and query complex geospatial data using PostgreSQL and PostGIS, including road topology, zones, polygons, points, and other business-critical spatial entities.
Optimize database schemas, spatial indexes, and queries to efficiently handle large datasets and high-throughput workloads.
Build and maintain backend services and APIs that expose geospatial and mapping data to other backend services, frontend applications, and data consumers.
Collaborate closely with other backend teams, frontend teams, data teams, and infrastructure to align on data contracts, system boundaries, and cross-team initiatives.
Improve system reliability, observability, and performance through monitoring, alerting, benchmarking, and continuous optimization.
Contribute to architectural decisions, technical standards, and best practices, while mentoring other engineers and raising the overall engineering bar.
Requirements:
6+ years of experience in backend software development using one or more programming languages (e.g. Python, Go, Java).
Strong experience with Python in production systems - advantage.
Strong experience designing and operating distributed systems in production environments.
Excellent problem-solving skills with the ability to break down complex systems and deliver simple, pragmatic, scalable solutions.
Solid understanding of databases, data modeling, and performance optimization (SQL and NoSQL).
Experience working with PostgreSQL with PostGIS or other spatial databases - advantage.
Experience working with cloud-based infrastructure and production-grade services.
Experience with geospatial systems, event-driven architectures, AWS, Kubernetes, or high-scale data pipelines - Advantage
BSc. in Computer Science or equivalent - Must
Compensation and Benefits:
Our product impacts millions of users around the world providing alternative transport solutions that are more: efficient and accessible, changing cities to make them greener.
Competitive compensation package which includes base salary and equity
Health insurance with a discount for family members
Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station
Career development and growth opportunities.
This position is open to all candidates.
 
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Location: Tel Aviv-Yafo
Job Type: Full Time
As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services and customer facing features used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We develop customer facing features, as well as internal capabilities serving other development teams within cortex. We are looking for someone who is not only strong technically, but also enjoys being a part of a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.
Requirements:
5+ years of professional experience in backend/platform software development.
Strong hands-on experience with backend development using languages such as Go, Javascript, C++, C#, Ruby, Python, or similar.
Proven experience designing, building, and operating large-scale distributed systems in production.
Strong understanding of software architecture, data modeling, APIs, reliability, observability, and production operations.
Experience working in cloud-based environments.
Ability to lead technical decisions while staying close to the code and implementation details.
Strong ownership mindset, including accountability for production behavior, quality, and long-term maintainability.
Experience mentoring engineers and raising technical standards within a team.
This position is open to all candidates.
 
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12/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We're looking for a Senior Backend Engineer to own core infrastructure that powers our platform - from the pipelines that move and process data at scale, to the systems that keep our engineering org shipping fast and reliably. This is a technical leadership role: you'll set architecture direction, raise the bar on engineering practices, and mentor other engineers, while staying deeply hands-on.

You'll operate in an organization that expects AI-native ways of working. Using tools like Claude, Cursor, Hermes or LangGraphor isn't a bonus here - it's the baseline for how we build, and we expect you to help the rest of the team level up on it too.

What Youll be Doing:
Own core backend infrastructure - design and build scalable, reliable Node.js/TypeScript/Python/Go services that other teams and systems depend on.
Build and scale data pipelines - architect the infrastructure that processes and moves large volumes of data reliably, efficiently, and at scale.
Elevate test & validation infrastructure - build the automation, tooling, and CI/CD systems that let engineering ship fast without breaking things, and that make quality and reliability measurable.
Set technical direction - make architecture decisions with company-wide impact, drive design reviews, and establish engineering standards and best practices.
Mentor and multiply - level up other engineers technically, and help shape a fast, high-ownership engineering culture as the team grows.
Lead with AI-native workflows - use AI-assisted development tools daily to move faster without sacrificing architectural quality, and champion their adoption across the team.
Requirements:
8+ years of backend software engineering experience, including end-to-end ownership of production systems at scale.
Deep expertise in Node.js and TypeScript, with strong software architecture skills for building modular, distributed systems.
Strong cloud and infrastructure experience (AWS, Kubernetes, Docker), including CI/CD, observability, reliability, and production operations.
Experience building and scaling data-intensive systems, including high-throughput data pipelines, distributed APIs, data modeling (SQL & NoSQL), and messaging platforms such as Kafka or Spark.
Experience building developer infrastructure, including internal tooling, test automation, validation frameworks, or agent-facing infrastructure (e.g., MCP servers, AI/LLM tools and APIs).
AI-native engineering mindset, with daily expert use of AI-assisted development tools (Claude Code, Cursor, Copilot, or similar) to significantly improve engineering velocity while maintaining quality.
Technical leadership experience, including mentoring engineers, driving architecture decisions, and raising engineering standards across a team.
Experience working in fast-paced startup or scale-up environments, delivering for customers under short SLAs.
This position is open to all candidates.
 
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01/11/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are revolutionizing Ecommerce with the first agentic operating system for ecom scale.
this end-to-end platform helps product inventors and entrepreneurs turn their products into successful direct-to-consumer businesses, addressing the three key challenges of ecom scale: poor product bets, lack of scale infrastructure, and the need for often-complex financing.
with a connected system of ai agents built on a unified data infrastructure, the os analyzes scale-market fit, replaces the fragmented tools, agencies, and manual workflows that typically power ecom growth, and offers the financing needed for dtc scale.
the role
we are looking for a senior backend engineer to architect the high-performance backbone of our platform.
you will build the agentic architecture- the distributed systems, task-orchestration layers, and Real-Time execution environments that allow ai agents to perceive the market and act autonomously
what you'll do
architect agentic service infrastructure: design and scale the high-concurrency backend services and distributed systems that power our ai agents' Real-Time decision-making.
build the rag & execution engine: engineer the backend services for vector search, context-aware retrieval, and the "memory" layers required for agentic workflows.
develop high-performance extraction systems: build resilient, distributed crawling and scraping services that function as the "sensory" input for our engine.
system orchestration: manage the integration of llms and predictive models into the core product api, ensuring low-latency execution and high system reliability.
define engineering excellence: establish backend architectural patterns, coding standards, and service-oriented best practices for the entire engineering team.
Requirements:
requirements
8+ years of experience: deep expertise in backend engineering with a software-first approach to complex systems.
ai-native workflow: you have a significant advantage if you leverage modern, agentic development environments like claude code to accelerate system design and iteration.
the tech stack: strong proficiency in building scalable services. while we value architectural skill over specific syntax, experience with go (golang) and gcp (bigquery/cloud run/postgres) is a major "force multiplier" for our stack.
agentic systems knowledge: familiarity with the infrastructure needed for llms, vector databases, and rag-based application logic.
architectural ownership: you excel at taking a high-level business need and designing the Full-Stack service architecture required to solve it.
This position is open to all candidates.
 
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06/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a Backend Engineer to drive the architecture and development of our AI-powered language learning platform. In this role, you will design and implement backend systems that directly impact millions of learners worldwide. You will architect scalable services that power real-time AI conversations, ensuring low-latency performance and reliability while building the foundation for our next generation of language learning features.
What Youll Do:
Design, develop, and maintain high-performance backend services and APIs (REST and gRPC) that power AI-driven conversational experiences.
Build and optimize asynchronous Python applications capable of handling real-time audio/text processing at scale.
Ensure seamless, low-latency integration between mobile and web clients and our AI backend platform.
Drive technical decisions on system architecture, focusing on low latency and fault-tolerance.
Collaborate with AI/ML, mobile, DevOps, and product teams to deliver end-to-end solutions that delight our users.
Work within CI/CD workflows to ensure smooth deployments and maintain high code quality standards.
Optimize system performance and resource utilization while maintaining reliability SLAs for our growing user base.
Requirements:
Minimum of 7 years of experience designing and developing scalable, distributed backend systems in one or more modern programming languages (Python is a plus).
Deep expertise in Python concurrency and execution models (WSGI, ASGI, asyncio, multiprocessing, threading, GIL).
Proven track record building production-ready asynchronous Python applications serving high-volume traffic.
Strong experience with Pydantic and FastAPI in production environments.
Expertise in designing and implementing RESTful APIs and gRPC services with strong emphasis on versioning strategies and backward/forward compatibility.
Demonstrated ability to solve complex performance, scalability, and workload distribution challenges.
Proficiency with relational and non-relational database solutions (PostgreSQL, Redis, DynamoDB, MongoDB), including query optimization and data modeling.
Experience with event-driven architectures and message queuing systems (Kafka, RabbitMQ, AWS SQS).
Hands-on experience with Docker, understanding of CI/CD pipelines and methodologies, and working in Kubernetes/AWS-based deployments.
Strong proficiency with AWS cloud services and cloud-native architectures.
Understanding of observability practices (distributed tracing, metrics, logging) and experience with monitoring tools.
This position is open to all candidates.
 
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07/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for a Senior Backend Engineer with a strong passion for AI and intelligent systems to join our growing R&D team.
In this role, youll be building the backend foundation that powers our AI-enhanced security analytics, autonomous detection, and real-time decisioning systems. Youll work closely with AI engineers, product, and security experts to bring agentic intelligence into our companys runtime platform - transforming how modern apps defend themselves.
Youll architect and implement services that scale to massive volumes of runtime data, integrate large language models (LLMs), and support RAG-based workflows for contextual understanding and response.
Youll Be Great For This Role If You Love To:
Design and build scalable, resilient backend services that power our companys AI-driven runtime security platform.
Integrate LLMs and agentic AI components into production environments to enable autonomous detection and remediation capabilities.
Design evaluation frameworks for measuring model performance and reliability in real-world conditions.
Develop Retrieval-Augmented Generation (RAG) pipelines tailored to application security data.
Own backend architecture decisions - from data modeling to performance optimization - across Node.js, Python, and cloud-native environments.
Contribute to our infrastructure, leveraging CI/CD, Kubernetes, Docker, and modern observability practices.
Mentor peers and help shape our companys AI engineering culture.
Requirements:
5+ years of backend development experience, ideally building scalable and distributed systems.
Deep expertise in Python and modern cloud-native architectures.
Proven experience with AI-enhanced systems - integrating or working with LLMs, RAG, or machine learning pipelines.
Understanding of data-intensive architectures, including streaming, caching, and dataflow optimization.
Strong collaboration and communication skills, with the ability to translate AI concepts into production-grade systems.
Advantage: Familiarity with vector databases, prompt engineering, and evaluation frameworks for AI models.
Advantage: Background in cybersecurity, runtime analysis, or agentic AI design patterns.
This position is open to all candidates.
 
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15/10/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.
Requirements:
6+ years of professional software-development experience, with significant experience building backend systems.
Strong experience designing, building, and operating cloud-native microservices and REST APIs in production.
In-depth understanding of modern SaaS architecture, multi-tenancy, distributed systems, and secure service-to-service communication.
Experience with both relational and NoSQL databases; hands-on experience with MongoDB is an advantage.
Experience deploying and operating services on AWS and Kubernetes, including monitoring, troubleshooting, and production ownership.
Strong understanding of authentication, authorization, credential lifecycle, tenant isolation, and secure API design.
Ability to work effectively across system boundaries and unfamiliar technology stacks.
Strong product judgment and the ability to turn evolving requirements into simple, maintainable technical designs.
Self-motivated, pragmatic, and comfortable taking ownership in a fast-moving startup.
Bachelors degree in Computer Science, Engineering, or equivalent practical experience.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
04/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Senior Backend Engineer - Data Platform to join our expanding team and play a crucial role in designing, building, and maintaining robust and scalable data pipelines and infrastructure. In this role, you will directly enable data-driven decision-making and support the development and deployment of AI/ML products that power Health.
Youll collaborate closely with engineering, product, and data science teams to ensure our data systems are high-quality, resilient, and scalable as we grow. As a Senior Backend Engineer on our Data Platform team, you will drive efforts to deliver reliable, efficient, and consistent data services across the organization. You will also help enable the rapid development and deployment of advanced features, insights, and AI-driven capabilities that improve outcomes for clinicians and clients.
Requirements:
At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
Familiar with or have worked with these technologies (or alternatives):
Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
API Development: FastAPI, micro-service architecture, SFTP
Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
Strong foundation in best practices for data quality, governance, security, and observability.
Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
Track record of innovative thinking on feature-level implementations, metric definitions, and AI/data integrations.
Service-oriented approach, particularly in high-responsibility, on-call situations.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8841892
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דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
02/10/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Senior Backend Engineer with 7+ years of development experience at leading startups to build the systems behind Zipher’s autonomous execution engine. You will own core infrastructure that turns high-volume telemetry and changing cloud conditions into reliable, real-time decisions across production data and AI workloads.
What You’ll Do
* Architect and scale the core backend services that power real-time workload orchestration, optimization, and self-healing
* Build resilient, high-throughput systems for processing distributed state, event streams, and production telemetry at scale
* Design infrastructure that makes autonomous decisions observable, explainable, and safe for enterprise engineering teams
* Partner closely with data, ML, and platform engineers to bring optimization models and control loops into reliable production systems
* Drive architectural decisions, raise the engineering bar, and own services from design through deployment, observability, and incident response
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to build the infrastructure that lets data and AI workloads run autonomously? Hit Apply.
Requirements:
What You’ll Bring 7+ years of development experience at leading startups – Must
* Experience as a developer in an elite IDF technology unit (e.g. 8200, Mamram, Matzpen) – Strong advantage Senior backend engineering experience , including ownership of production-grade distributed systems, infrastructure platforms, or core product architecture
* Strong production experience with Python or Go , and a track record of designing robust APIs, services, and asynchronous workflows
* Deep hands-on experience operating cloud-native systems on AWS at scale , including EMR, DynamoDB, Kinesis, Lambda, S3, or API Gateway
* Experience with distributed computing or infrastructure engines , such as Kubernetes, Spark, high-throughput schedulers, streaming platforms, or message brokers
* A high-agency, engineering-first mindset : you enjoy ambiguous, high-leverage problems and take responsibility for reliability, performance, and quality
Nice to Have
* Experience with large-scale compute and data platforms , including Spark, Databricks, Trino, Flink, or Snowflake
* Experience building infrastructure for AI/ML workloads , MLOps/AIOps systems, or production model-serving environments
* Familiarity with cloud cost optimization, FinOps, workload scheduling , or efficiency optimization at scale
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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