Senior Software Engineer

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8830636

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לפני 2 שעות

Research Engineer

חברה חסויה

Location:

Job Type: Full Time

we are looking for a Research Engineer
As a research engineer , you'll be at the forefront of building systems to evaluate and secure frontier AI models. You'll work on infrastructure and experiments to assess model capabilities, implement agent frameworks, and develop mitigations for advanced AI systems. Your role will involve creating robust evaluation pipelines, developing security-focused testing frameworks, and building tools that help understand and mitigate risks related to frontier models. Youll have a chance to understand the research context and your codes impact and contribute as a meaningful part of a growing team.
Representative projects:
Building a tool to continuously evaluate models and mitigate their risks. From designing the APIs for frontier labs, to building analysis and visualization tools that summarize 10,000+ transcripts into specific conclusions.
Designing and building challenges that measure a models ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools.
Developing controlled environment frameworks for more secure use of frontier models.
Designing and building agents that improve a models ability to complete complex tasks. Includes many potential avenues, such as incorporating SOTA prompting practices, creating tools for task delegation, and more.
Publishing your research and/or delivering research to our customers.

Requirements:
Have strong production programming skills and experience.
Have strong problem-solving and analytical skills.
Work well in a multidisciplinary team and can adapt to rapidly evolving challenges.
Are interested in AI and cybersecurity (experience in machine learning or cybersecurity is a plus but not necessary).
Care about the societal impacts of your work.

This position is open to all candidates.

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8830647

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1 ימים

Senior Infrastructure Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

Requirements:
5+ years of experience in Infrastructure, DevOps, Platform Engineering, or Backend Engineering.
Strong software engineering skills with hands-on experience building production systems in Python or Go.
Deep hands-on experience with AWS, including services such as EKS, RDS, VPC, and IAM.
Strong experience designing, operating, and scaling production Kubernetes environments.
Experience with Infrastructure as Code, CI/CD, GitOps, and modern cloud-native development practices.
A systems mindset with the ability to solve architectural challenges across infrastructure and application layers.
Comfortable using modern AI-powered developer tools and agentic workflows to improve engineering productivity.
The company Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Full professional fluency (written and verbal) in both Hebrew and English.

This position is open to all candidates.

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8829008

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לפני 4 שעות

Sr Software Engineer -Email Security (Cortex)

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Sr Software Engineer -Email Security (Cortex)
Job Summary:
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
As a Software engineer on our Email Security team, you will play a key role in shaping and delivering a cutting-edge email security solution within the Cortex platform. Your responsibilities will include designing and developing an infrastructure capable of supporting billions of events per second, collecting, storing, processing, analyzing, detecting threats and making them accessible, visible and actionable for users while seamlessly integrating with the industrys leading cyber-security products. You will design and build a highly available, reliable, and secure solution that adheres to the highest standards. Beyond development, your crucial role involves meaningful cross-organizational collaboration, driving a significant impact to ensure the success of our product. Our Cortex engineering group, primarily based in the TLV office, allows us to operate at a high pace with short decision-making loops. In this role, you will need to demonstrate creativity, innovation and deep knowledge in backend engineering, conducting research to find new technologies. A can-do approach, a passion for excellence and a commitment to continuous improvement are essential qualities for success in this position.
Key Responsibilities:
Take ownership of a brand new product, driving its development from concept and design to full implementation
Focus on meaningful, high impact work, building major parts of a groundbreaking new product
Build a new offering designed to operate at massive scale
Dive into new cutting-edge technologies, researching and integrating them to enhance the products capabilities.

Requirements:
5 + years of hands-on experience in Software Engineering
At least 3 years of hands-on experience in a production Software-as-a-Service (SaaS) environment
Experience with high-scale distributed systems
B.Sc. or M.Sc. in Computer Science, Software and Computer Engineering, or equivalent military experience required
Experience leveraging AI-assisted development tools (Gemini, Claude) to accelerate the software development lifecycle, including code generation, debugging, and unit test creation
Proficiency in at least one cloud provider (AWS, GCP, Azure)
Strong communication and problem-solving skills
Creative thinker, independent, and a strong team player
Excellent problem-solving and troubleshooting skills
Preferred Qualifications
Development experience with Python, Golang
Background in cybersecurity or email security.
Experience building internal or external AI agents, agentic workflows, and custom skills.
Familiarity with LLM-based detection and enrichment platforms.
Hands on experience with high-throughput data streaming platfor

This position is open to all candidates.

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8830324

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01/09/2026

Senior AI Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

Requirements:
Engineering Foundations:
- Strong Python skills- you write clean, idiomatic, well-tested code and understand the language deeply.
- Hands-on experience using coding agents(Cursor, Claude Code, GitHub Copilot, or similar) to build complex software systems. You know how to delegate effectively to AI assistants and review their output critically.
- Experience with multiple database paradigms- both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB, or similar). You can choose the right tool for the job.
- Experience designing and integrating with third-party APIs- REST and gRPC. Comfortable building robust clients, handling auth, retries, rate limits, and schema evolution.
- Production experience with Docker and Kubernetes- containerizing services, writing manifests, and debugging deployments.
- Strong Linux fundamentals- confident in bash and the terminal; you can navigate, script, and troubleshoot a server without reaching for a GUI.
- Experience building cloud-native tools on AWS, GCP, or Azure (compute, storage, queues, serverless, IAM).
AI / LLM Expertise:
- Solid understanding of what an LLM is and how it works- tokenization, attention, context windows, sampling, and the practical implications of each for system design.
Strong grasp of modern patterns for integrating LLMs into real workflows, including RAG, MCP (Model Context Protocol), vector databases, agents, tool use, and context engineering- with hands-on experience building with several of them.
- Production experience implementing LLM-powered systems end-to-end, using relevant tools and frameworks (e.g. LangChain, LlamaIndex, LangGraph, Haystack, Pydantic AI, vector stores like Pinecone/Weaviate/pgvector, observability tools like LangSmith or Langfuse).
- Solid foundation in core ML concepts; embeddings, evaluation, overfitting, generalization, and how classical ML relates to and differs from modern LLM-based approaches.
Nice to Have:
- Experience fine-tuning or distilling open-source models.
- Contributions to open-source AI/ML projects.
- Experience with streaming, real-time systems, or low-latency inference.
- Familiarity with prompt evaluation frameworks and LLM-as-judge methodologies.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8805503

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10/09/2026

ML Software Engineer

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a strong Backend Software Engineer to bridge the gap between our Machine Learning research team and our enterprise production systems. You will act as the technical backbone for our ML Scientists - by advising, designing and implementing the production facing features. If you are a backend expert who wants to solve complex system architecture challenges and dive into the world of ML platforms & Agentic LLM pipelines, this is the role for you - An exciting role collaborating with ML science team, data/infra team and DevOps to drive real customer impact.

As a ML Engineer, you will:

Lead ML delivery: transforming research output (code, models, ideas) into robust, scalable, low-latency microservices in production

Help architect e2e solutions to real customer pains ranging from ingestion, integration, ETLs, DB design up to low-latency services

Design, build, and maintain automated workflows for ML models, including auto-trains, benchmarking, testing, performance gating, and production deployment.

Tackle complex backend challenges: optimizing API response times, managing database connectivity and concurrency at scale, balancing accuracys drive for complex questions with the business needs of fast responsiveness by making hard technical trade-offs between customer gains and business costs.

Design and optimize data pipelines and ETL processes, connecting our Snowflake data warehouse to our training environments.

Work within our existing ML infrastructure (Kubeflow, MLflow, KServe) to ensure smooth model lifecycles and performance monitoring.

Collaborate closely with ML Scientists, guiding them on software engineering best practices without slowing down their research.

Monitor and optimize production models for performance, cost efficiency, availability, and observability.

Requirements:
6+ years of backend software engineering experience designing, building, and maintaining large-scale, high-throughput production systems

Strong coding skills, Ability to write clean, maintainable code, OOP familiarity, package design, microservices etc.
Note: Work is in python, but strong engineers with deep Java/C# backgrounds who have some Python experience and are willing to transition fully are highly encouraged to apply.

Solid Database design & SQL skills, Deep understanding of SQL, experience working with relational and/or bigdata (columnar) databases, ORMs, and efficient query design.

API & Performant Design Proven experience - building robust systems, you understand how to handle concurrency, ETL tradeoffs, building fault-tolerant best effort data flows

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8818291

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3 ימים

Senior ML Data Engineer

חברה חסויה

Location: Ramat Gan

Job Type: Full Time

Required Senior ML Data Engineer
About the team:
The AI Engineering group builds modern infrastructure and solutions that improve how algorithms are developed.
We are a small, independent team of experienced engineers with a mix of skills in algorithms, software, and infrastructure. We work in a DevOps style and build cross-team solutions that support research and development of advanced perception algorithms.
Our flagship project is a unified AV dataset used to train and evaluate next-generation models. We take large volumes of multi-camera video, object labels, HD maps, and sensor data from across the organization, and turn it into a curated, high-quality training set - at scale.
We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

Requirements:
4+ years in data engineering or backend/software engineering with serious data work - pipelines that run in production, not just notebooks.
Strong Python and the PyData stack (NumPy, PyArrow, Pandas, DuckDB).
Some background in research, algorithms, or ML - enough that you can read a paper, understand a model's outputs, and have informed conversations with algorithm engineers.
Comfort working with vision-model outputs as data: embeddings, detection results, VLM responses.
Ability to work across team boundaries - this role lives between algorithm teams, infra teams, and our own.
Nice to have:
Experience with autonomous-driving datasets or perception pipelines.
3D geometry and camera model intuition (or the mathematical background to ramp up).
Workflow orchestration (Argo, Airflow, Kubeflow).
Vector databases or columnar analytics (LanceDB, DuckDB, Parquet at scale).
Familiarity with curation concepts (active learning, hard-example mining, distribution balancing) - useful context, not a requirement.
Exposure to LLM agents or agentic workflows for data tasks.

This position is open to all candidates.

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8826775

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7 ימים

Senior AI Engineer - Exploration & Prototyping

חברה חסויה

Location: Bnei Brak

Job Type: Full Time

we are looking for a Senior AI Engineer - Exploration & Prototyping.
That is this role. You take an open question, run a focused spike, and come back with numbers and a recommendation. You read the source of the frameworks you evaluate rather than trusting their marketing. You build prototypes to settle arguments.
You do not own a subsystem and you do not ship to customers, which is exactly what protects the work: exploration inside a delivery team always loses to the sprint. You sit alongside the platform, research, and forward-deployed teams, you borrow their context freely, and your output is evidence they can act on.
You will be trusted with real influence early. The recommendations you write become the architecture other people build against, so the bar is not a working demo but a defensible conclusion, including the ones that say no.
What Youll Do:
Run technical spikes that close open decisions, covering agent orchestration frameworks, real-time transport, memory protocols, agent interoperability standards, LLM selection and routing, evaluation harnesses, and the production library and stack choices underneath all of it.
Build prototypes to de-risk, standing up something real quickly, proving or disproving the thing in question, and moving on without becoming attached to the code.
Read and evaluate unfamiliar codebases, going into the source of a candidate framework to find out whether it can actually support what we need rather than what its documentation implies.
Design the measurements that make a decision defensible, building the harness, running the comparison, and reporting latency, cost, and failure behavior honestly.
Own build-versus-adopt recommendations for platform infrastructure, frameworks, and libraries, including a clear statement of what it would cost to be wrong.
Write the recommendation down. Every spike ends in a short, decisive document another engineer can act on, with the evidence, the rejected options, and the reasoning behind the call
Hand off cleanly, transferring what you learned to the team that will own the capability in production, and staying available while they pick it up.
Track the landscape across agentic infrastructure, real-time frameworks, and adjacent AI tooling, and bring forward the things that genuinely change what we can build.

Requirements:
B.Sc. in Computer Science (or equivalent technical field), mandatory.
7+ years of industry experience in software, ML, or research engineering roles, with real ownership of production systems.
Genuine technical breadth. You have worked across backend services, runtime, and infrastructure, and you are comfortable close to ML systems without needing to own the models. You can hold several unfamiliar domains at once.
Strong Python skills, and the ability to get something real running quickly.
A track record of technical evaluations that led to decisions, where you compared real options, produced evidence, and the organization acted on the result.
Evidence over intuition. You have designed benchmarks or measuremet harnesses, and you can describe a time you were convinced something would work and the numbers said otherwise.
Experience with real-time, streaming, or latency-sensitive systems.
Hands-on experience with LLMs and agentic systems, including orchestration, tool calling, and how these systems behave and fail in production.
Comfortable working as an individual contributor without a team, self-directed, and able to finish. Exploration that never lands is the failure mode of this role.
Experience in a fast-moving SaaS company and in cloud environments (AWS, GCP, or Azure).

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8824088

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03/09/2026

Staff Software Engineer - Product Security

חברה חסויה

Location: Petah Tikva

Job Type: Full Time

our companys Product Security organisation is building a dedicated Security R&D function - a software engineering team that builds security capabilities with the same engineering rigour as our companys product organisation. We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our companys AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do
Build Security Capabilities
Design and develop security tooling, automation, and platform services that operate at our companys enterprise scale.
Contribute code directly into our company product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our companys platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: our company owns the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.

דרישות:
To be successful in this role, you have:
8+ years of professional software engineering experience building production systems at scale.
Bachelors degree in Computer Science, Engineering, or a related technical field.
Strong hands-on proficiency in Python and Java. You write production code daily and take pride in software craftsmanship.
Solid foundation in distributed systems, cloud-native architectures, and building services that meet enterprise requirements for scalability, reliability, and performance.
Experience working in collaborative engineering environments, contributing to shared codebases with high code quality standards.
Interest in or exposure to security engineering concepts - application security, infrastructure security, identity systems, or trust & safety. A security mindset is valued; deep security expertise can be developed on the המשרה מיועדת לנשים ולגברים כאחד.

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8808495

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שליחה

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07/09/2026

Senior Software Engineer ll, Core Engineering

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Software Engineer to join our Core Engineering group. The group is responsible for the real-time, low-latency infrastructure that powers our fraud decisions and external APIs.

Our systems process billions of requests every day, ensuring high availability, security, and performance at global scale.

In this role, youll work on core backend components such as our decision engine, ingestion and enrichment pipelines, schema management systems, and self-serve API platform. The software you build will power critical business decisions and directly serve some of the worlds largest merchants.

This is a high-impact, high-ownership position for an engineer who thrives on solving complex distributed systems challenges, cares deeply about production-grade quality, and wants to shape the foundation of our decisioning platform.

What you'll be doing:
Design, build, and scale backend systems that power our real-time decisioning and APIs.
Own projects end-to-end - from design and implementation to production rollout and monitoring.
Ensure systems are low-latency, fault-tolerant, and high-throughput across distributed environments.
Enhance observability, reliability, and developer experience through strong operational and tooling practices.
Collaborate with Product, analysts, data scientists, and infrastructure teams to drive innovation across Forters decision ecosystem.
Participate in technical discussions and customer interactions, providing expertise and clear communication when supporting enterprise integrations.

Requirements:
What you'll need:
8+ years of experience building backend systems in large-scale production environments.
Strong programming skills in Python, Java, Kotlin, or Node.js
Hands-on experience with cloud-native technologies (AWS, Kubernetes, Docker).
Proven ability to design and maintain high-scale distributed systems
Strong sense of ownership, autonomy, and accountability.
Excellent communication skills, with the ability to explain complex systems clearly to both technical and non-technical audiences - including direct collaboration with customers worldwide.

It'd be cool if you also have:
Experience with API Gateway architectures, schema/versioning strategies, or platformization efforts.
Familiarity with real-time data processing frameworks (e.g., Flink, Storm) and resilience patterns.
Background working alongside data science or machine learning teams.
Contributions to developer platforms, infrastructure services, or internal tools improving engineering velocity.

This position is open to all candidates.

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8812819

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אירעה שגיאה בשליחת פרטיך למשרה

26/08/2026

Senior Software Engineer - Payments Infrastructure

חברה חסויה

Location: Tel Aviv-Yafo

Job Type: Full Time

Were launching a new Financial Infrastructure team at our company to build the next generation of our payments and platform capabilities from the ground up. This is a founding engineering role in our Tel Aviv office, with significant ownership, autonomy, and technical influence from day one.
Youll design and build foundational systems that power our companys platform, working on high-impact, mission-critical services and helping set the technical bar for the team.
What youll do:
Own features end-to-end - Take ideas from early concept through production. You wont just write code - youll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems, but youre comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.

Requirements:
7+ years of professional software engineering experience, with a strong backend focus
Proven experience building or operating large-scale payment infrastructure systems within fintech, payments, or high-volume transaction environments
Proven experience owning real-time, mission-critical systems where low latency, correctness, and high availability are non-negotiable
BSc in Computer Science or equivalent hands-on experience
A builders mindset, with a track record of taking complex systems from idea to production and scaling them in production
Comfortable operating across the stack when needed, from APIs and business workflows to infrastructure and deployment
Production experience with Python and Go, building scalable backend and high-performance services
Deep experience building and operating systems on GCP
A modern engineering mindset, with strong instincts for using automation and AI tools to increase impact and velocity
A high bar for quality and a willingness to challenge yourself and the team
Clear communication skills and the ability to collaborate effectively in small, senior teams.

This position is open to all candidates.

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8797660

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