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24/09/2026
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05/11/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are looking for a highly skilled and versatile Backend Engineer to join our development team. As a Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.


Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.
Requirements:
Bachelor's degree in computer science, Software Engineering (or equivalent work experience).
3+ years of experience as a software engineer with hands-on production experience working in the backend side of complex systems.
Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks.
Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch.
Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries.
Strong problem-solving skills and ability to work both independently and as part of a team.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
Low-level understanding of network protocols and Windows internals- advantage.
Experience with cloud services (GCP/AWS/Azure)- advantage.
This position is open to all candidates.
 
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05/11/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are looking for a highly skilled and versatile Senior Backend Engineer to join our development team. As a Senior Backend Engineer, you will be responsible for designing, developing, and maintaining the backend infrastructure and components of our platform. As part of your role, you will also work on the frontend aspects of our platform and collaborate with stakeholders and cross-functional teams to optimize full-cycle system performance.


Responsibilities:
Design, develop, and maintain backend systems and APIs to support our web applications.
Implement and optimize data storage solutions, including databases, to ensure efficient and reliable data management.
work closely with front-end developers to integrate backend functionalities and ensure a seamless user experience.
Collaborate with product managers, stakeholders, and cross-functional teams to gather requirements, translate them into technical specifications, troubleshoot and resolve backend-related issues, and optimize system performance.
Requirements:
Bachelor's degree in computer science, Software Engineering (or equivalent work experience).
5+ years of experience as a software engineer with hands-on production experience working in the backend side of complex systems.
Strong proficiency in at least one backend programming language (e.g., Go, C#) and associated frameworks.
Hands-on experience in the following technology stack: Kubernetes & Helm, Frontend experience, NodeJS (Typescript), Elasticsearch.
Experience with relational databases (PostgreSQL- advantage), and ability to design efficient schemas and write optimized queries.
Strong problem-solving skills and ability to work both independently and as part of a team.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams.
Low-level understanding of network protocols and Windows internals- advantage.
Experience with cloud services (GCP/AWS/Azure)- advantage.
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
we are the AI-native platform powering the era of Agentic HR. Powered by Loomra, our context engine is purpose-built for the workforce. our company lets you build any Agentic HR agent that operates in the flow of work across Slack, Microsoft Teams, Copilot, and Google Chat. Talent Redeployment, internal mobility, skills intelligence, workforce redesign, and whatever comes next.
Trusted by leading global enterprises, our company serves over 1.5 million employees across 30+ Fortune 500 companies, unlocking more than 4.8 million strategic work hours. We help organizations harness AI to unlock agility, productivity, and growth, empowering them to achieve true ROI and drive exponential productivity.
About the Role
We are seeking an experienced and passionate Senior Software Engineer to join our core engineering team. In this role, you will design, build, and scale high-performance backend services that power our enterprise Agentic AI platform. You will tackle complex technical challenges, architect robust systems, and work on cutting-edge features that seamlessly integrate AI agents into enterprise workflows.
As a Senior Software Engineer at our company, you will collaborate closely with product managers, and cross-functional engineering teams. You will take full ownership of end-to-end feature delivery from initial system design and API definition to production monitoring and optimization - ensuring our platform maintains top-tier reliability, security, and execution velocity.
Responsibilities
Design, architect, and maintain highly scalable, high-throughput backend services and distributed systems.
Take end-to-end ownership of features and projects, driving them from technical design through to deployment and monitoring.
Build and optimize core APIs and integration layers.
Write clean, testable, and maintainable code, adhering to software engineering best practices (CI/CD, code reviews, automated testing).
Drive architectural decisions, lead technical design discussions, and advocate for system performance and scalability improvements.
Troubleshoot and resolve complex production issues, ensuring high system availability and low latency.
Mentor and guide junior and mid-level software engineers, driving engineering excellence across the team.
Requirements:
Must-Have:
7+ years of hands-on experience as a Backend or Full-Stack Software Engineer building complex, scalable distributed systems in production.
Deep technical proficiency in modern backend languages (e.g., Python, Node.js / TypeScript, Go, or Java).
Practical experience building or integrating AI agent frameworks, LLM applications, or vector databases.
Proven ability to execute and deliver high-quality software at a fast pace, specifically within an agentic or highly dynamic AI-driven environment.
Strong expertise in microservices architecture, RESTful APIs, and message-driven architectures (e.g., Kafka).
Hands-on experience with both relational databases (e.g., PostgreSQL) and NoSQL/caching solutions (e.g., MongoDB, Redis).
Deep understanding of cloud infrastructure (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
Strong architectural vision with a proven track record of bringing technical projects from concept to production deployment.
Outstanding problem-solving skills, ownership mindset, and strong collaborative skills.
Nice-to-Have:
Experience building systems for large-scale data integration from complex enterprise platforms (e.g., SAP, Workday).
Experience with Infrastructure as Code (Terraform, Helm, ArgoCD).
This position is open to all candidates.
 
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
Were looking for a Senior Backend Engineer who will join our team and make a big impact.

About the role

Youll join a small, high-ownership backend team building the systems that power Shields core platform, working mainly on data pipelines with a focus on the quality and structure of the data itself. We believe great engineers come from all backgrounds, and we actively work to build a team where everyone belongs and thrives.

What youll do

Design and implement new flows and services
Maintain, improve, and extend existing backend services and APIs
Work with multiple data stores - relational, NoSQL, search (Elasticsearch, etc.)
Maintain and build event-driven pipelines using message brokers (Kafka, RabbitMQ, or similar)
Collaborate with product and architecture on scalable, resilient system design
Integrate and leverage AI tools in your daily workflow - and ideally, build them
Requirements:
4 - 8 years of backend engineering experience
At least 1 year with Java; additional years in any backend language (Go, Python, C#, TypeScript, etc.)
Hands-on experience with data stores (e.g. MySQL/PostgreSQL, MongoDB, Elasticsearch, Redis)
Familiarity with event-driven architecture and at least one message broker
Cloud experience (AWS, GCP, or Azure)
You use AI tools daily - and if youve built AI agents, even better
Data engineering background is a plus, but not required
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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26/10/2026
Location: Ramat Gan
Job Type: Full Time
We're looking for a hands-on Senior backend Engineer to join the App Studio & Intelligence team within Earnix's GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across Earnix and our customers to design and deploy AI-driven solutions. In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.
?What You'll Do Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS. Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security. Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system. Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases. Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence. Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.

Position Intro:
Earnix is the first AI company purpose-built for insurance decisioning, providing the industry with the intelligence, governance, and decisioning agility to drive profitable growth, improve resilience, and operate with speed and precision in a rapidly changing risk environment. A trusted provider of production-grade AI and decisioning technology, Earnix builds on more than 25 years of experience in artificial intelligence risk, pricing, rating, analytics, and decisioning. Earnix brings vertical AI into the workflows and decisions that shape insurance performance across insurers pricing, underwriting, claims, customer engagement, retention, and other insurers high-value insurance moments. Earnixs AIOS enables insurers to orchestrate intelligence across the insurance decision lifecycle and drive governed, Real-Time decisions that deliver measurable business outcomes. Earnix is headquartered in Boston, MA and has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.
Requirements:
You'll do it using: 5+ years of backend engineering experience building and operating production systems at scale, with a strong sense of ownership from design through deployment and operations. Deep expertise in microservices architecture, API design, and distributed systems, with cloud-native design experience on AWS (or GCP/Azure) using Kubernetes and Helm. Proficiency in Python for building scalable backend services, with a focus on clean, production-grade code and seamless integration of AI components. Hands-on experience integrating Generative AI into backend systems, including LLMs, knowledge bases, and agent frameworks, plus familiarity with tooling such as AWS Bedrock, LangChain/LangGraph and vector databases. Solid experience with data and messaging technologies - SQL/NoSQL databases, caching layers, and message brokers such as PostgreSQL, Redis, Kafka, RabbitMQ, and Elasticsearch. Strong command of observability practices, with hands-on experience in tools such as Prom
This position is open to all candidates.
 
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18/10/2026
Location: Ramat Gan
Job Type: Full Time
We're looking for a hands-on Senior Backend Engineer to join the App Studio & Intelligence team within GenAI Group. Our group builds the company's core Generative AI products - including a company-wide agents platform and customer-facing AI assistants - enabling teams across and our customers to design and deploy AI-driven solutions.
In this role, you'll design and build scalable microservices and cloud-native infrastructure at the heart of our GenAI applications, working with advanced AI capabilities such as knowledge bases, embeddings, LLM orchestration, agent frameworks, and evaluation systems. You'll be a senior technical voice on the team - owning complex features end-to-end, raising the engineering bar, and shaping how AI capabilities are delivered in production.
What You'll Do:
Design, build, and own backend services and infrastructure for our GenAI applications - scalable, resilient, production-grade systems running on AWS.
Build the APIs, data pipelines, and backend integrations that power advanced AI capabilities, including knowledge bases, embeddings, LLM orchestration, agent workflows, and evaluation frameworks, with attention to performance, scalability, and security.
Lead complex design efforts - driving architecture discussions, design reviews, and technical decisions for significant areas of the system.
Collaborate closely with product, data science, and other engineering teams to translate business needs into robust backend solutions that enable AI-agent use cases.
Raise the engineering bar through code reviews, mentoring less experienced engineers, and championing best practices in quality, observability, and operational excellence.
Take ownership of production health, including monitoring, alerting, troubleshooting, and continuously improving system reliability.
Requirements:
5+ years of backend engineering experience building and operating production systems at scale, with a strong sense of ownership from design through deployment and operations.
Deep expertise in microservices architecture, API design, and distributed systems, with cloud-native design experience on AWS (or GCP/Azure) using Kubernetes and Helm.
Proficiency in Python for building scalable backend services, with a focus on clean, production-grade code and seamless integration of AI components.
Hands-on experience integrating Generative AI into backend systems, including LLMs, knowledge bases, and agent frameworks, plus familiarity with tooling such as AWS Bedrock, LangChain/LangGraph and vector databases.
Solid experience with data and messaging technologies - SQL/NoSQL databases, caching layers, and message brokers such as PostgreSQL, Redis, Kafka, RabbitMQ, and Elasticsearch.
Strong command of observability practices, with hands-on experience in tools such as Prometheus, Grafana, or Splunk for monitoring, distributed tracing, and alerting.
Fluency in agile development and delivery tooling such as Jira, with a track record of consistently shipping high-quality software in fast-moving environments.
This position is open to all candidates.
 
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01/11/2026
Location: Ramat Gan
Job Type: Full Time
We're looking for a strong Senior Backend Engineer to join VIBESEC, the team building our AI security products. This is one of the most exciting places to beright now: a brand-new product, in a domain that changes every day, with real customers already shaping what we build next.
You'll join a small, senior, globally distributed team of six engineers across Europe, Israel and Argentina. You'll own features end to end, from the first conversation with Product through design, build, and production. Because the domain is new, your technical judgment will shape the architecture rather than follow it.
If you want to build something genuinely new, at the point where AI and security meet, let's talk.
What You'll Be Doing:
Design and build the backend of our AI security products in Node.js and TypeScript, running across cloud environments and endpoints
Own features end to end, from business requirements through architecture, implementation, delivery and production quality
Work closely with Product and directly with customers, turning fast-moving business needs into robust technical solutions
Partner with Product, Design, and other engineering teams on complex cross-company projects
Make and defend architectural decisions in a domain with no established playbook, where the right answer this quarter may not be the right answer next quarter
Set the technical bar for a senior team, and raise it through code reviews, design discussions and examples
Requirements:
6+ years of hands-on backend development experience
Strong, production-level experience with Node.js and TypeScript (must-have)
Proven ability to design and deliver solutions for complex, distributed systems
Strong ownership and accountability, with high independence and the ability to manage multiple stakeholders
A track record of taking features from requirement to production, with production-grade code
Comfort with ambiguity and rapid change, and the judgment to know when to move fast and when to build for the long run
Excellent English and strong communication in a fully distributed team
The "AI-First" Spark: You are an early adopter of AI technologies and are passionate about finding ways to use AI to improve developer experience and system performance.
Bonus Points for :
Experience with microservices architecture
Background in cybersecurity or endpoint agent development
Experience delivering customer-value-driven products in fast-paced startup environments
Hands-on work with LLMs, AI agents or AI-powered product features
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are looking for a Backend Engineer to join a growing group! Our Alerting backend powers real-time, streaming-based detection at massive scale, processing millions of events per second with millisecond latency to catch issues as they happen. Built with a distributed, event-driven architecture, it supports complex pattern evaluation, dynamic enrichment, and fault-tolerant delivery for mission-critical observability

What You'll Do

Lead the design, development, and evolution of scalable, high-impact systems.
Own features end-to-end, ensuring predictable production behavior from design through deployment.
Solve complex technical challenges at scale using sound engineering principles and modern stream processing technologies.
Collaborate closely with engineers and product managers to continuously improve the product.
Drive both technical excellence and meaningful user outcomes.
Requirements:
5+ years of software development experience.
3+ years of development experience with JVM stack - Java / Kotlin / Scala - Advantage.
3+ years of experience developing and operating distributed systems in production.
Hands-on experience with observability platforms (Coralogix, Grafana, etc.)
Proven experience in building systems that are highly available and reliable through strong architectural practices, monitoring, and proactive incident management.
Hands-on experience with Data Streaming technologies, including Apache Kafka, Spark Streaming, KafkaStreams, or Apache Flink.
Proficiency in data modeling and designing systems to handle large-scale, distributed datasets efficiently.
Strong knowledge of distributed computing paradigms and principles, such as consistency, partitioning, and resilience.
B.Sc. in Computer Science or an equivalent field.
This position is open to all candidates.
 
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08/10/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
As a Backend Team Leader, you will lead a team of backend and MLOps engineers that owns the systems behind our AI-driven product features. Your team works closest to our AI group - the Algorithms and Data teams - and owns the engineering side of turning models into reliable production capabilities.

Concretely, that means owning real backend architecture - the services and APIs that carry AI-driven capabilities into the product, the data collection pipelines that feed model training, the storage and query layers that hold model outputs and the insights we derive from them, and the validation pipelines that let us trust production flows. You will make the core design decisions on service boundaries, data models, event flows, and scale and cost tradeoffs, in a domain where both the data volume and the correctness bar are high. You do not need to arrive as an ML expert. You do need to be the kind of engineer who walks into an unfamiliar domain, learns it properly, and starts making good decisions in it.

What you'll be doing -

Lead and grow the team
Manage backend and MLOps engineers, some embedded in product pods; coach on delivery, decision-making, and career growth
Set clear expectations for ownership and quality; track progress against team goals, surfacing risks early.

Own the backend behind our AI features
Build and scale data pipelines with the AI group, and design how model insights are stored, queried, and exposed to the product
Build validation pipelines and partner with the Algo team to take models from experiment to production.

Drive architecture direction and alignment
Align backend decisions with the wider group, guide design discussions, and keep specs and plans on time
Collaborate with the platform team on infrastructure, deployment, and reliability standards.

Improve reliability and operational readiness
Raise the bar on stability, observability, and alert quality
Turn recurring issues into focused engineering work; lead debriefs and drive action items to completion.
Requirements:
8+ years in backend engineering, with proven people leadership as a manager or team lead, delivering in fast-paced environments without micromanaging.
Strong production experience with web services/APIs on AWS, PostgreSQL, Redis, S3, Kubernetes, and Kafka (including failure handling).
Experience with data pipelines (batch/streaming) and monitoring/observability tools - dashboards, logs, metrics, tracing, alerting, and on-call.
An advantage: familiarity with the ML model lifecycle, Python or exposure to Python-based research teams, big data infrastructure, Computer Vision/Deep Learning, or hands-on use of AI coding tools.
Ability to inspire, mentor, and grow engineers, with strong self-learning skills in unfamiliar domains.
Clear communicator across technical and non-technical partners, balancing company priorities with sustainable delivery and team satisfaction.
This position is open to all candidates.
 
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11/10/2026
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
we are looking for a Senior Full-Stack Engineer.
What You'll Do:
Own features end to end: product conversation → schema → API → UI → how it behaves in production.
Design the systems behind our AI agents - pipelines, orchestration, retries, guardrails, evaluation - so behavior is predictable and explainable.
Build backend services and data models that stay correct and stay fast as volume grows - across shared, single-tenant, and on-prem deployments.
Build the product surfaces our customers and our delivery teams use to configure, monitor, and audit agents.
Own your code in production: CI, deploys, observability, alerting, and the debugging that follows.
Work on how we ship, build and release pipelines, environments, and the infrastructure that lets one codebase deploy into very different customer environments.
Make the call on where complexity is worth it and where things should stay boring.
Raise the bar around you: code review, design review, mentoring, and the standards that keep a codebase alive two years from now.
Requirements:
You have 5+ years of engineering experience, 3+ of them building real products across both frontend and backend.
You're strong in at least one modern typed language and ecosystem: TypeScript, Python, Go, Java, C#. We write TypeScript, and we expect you to be productive in it fast, but we hire for how you think, not for which language you last used.
You're genuinely full-stack - you can debug a React render, a slow query, and a stuck queue in the same day.
You know relational databases properly: schema design, indexes, transactions, and what happens under concurrency.
You've worked with distributed systems and know where the race conditions hide.
You're product- and solution-oriented - you ask what the customer is trying to do before you ask what to build.
You can take a vague, complex problem and turn it into an architecture that Just Works.
You care about your teammates, and you're looking to both learn and teach.
You work AI-natively. You use coding agents seriously, and you build the things that make them useful - skills, agents, evals, internal tooling, context that makes the whole team faster. This is how we work, not a side project.
You believe a small, dedicated team beats a big one.
You've built LLMs in production - not a demo, but something with evals, guardrails, and regression testing behind it.
You've worked in a regulated or high-stakes environment where auditability wasn't optional.
You take pride in frontend architecture - accessible, responsive, fast components.
An early-stage startup is what you're actively looking for: hard work, processes that aren't fully defined, and a lot of freedom.
This position is open to all candidates.
 
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