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לפני 4 שעות
חברה חסויה
Location: Merkaz
We are seeking a talented AI Specialist in DevOPS to lead the integration of artificial intelligence (AI) and machine learning (ML) technologies into our development, research, testing, and overall software systems. The ideal candidate will possess a deep understanding of DevOPS principles, coupled with hands- on experience in implementing AI models for code generation, automation, monitoring, and other critical functions.
עוד על התפקיד
In this role, you will design and establish robust infrastructure to support multiple development teams operating across diverse domains, technologies, and environments. We expect initiative, independent problem-solving, and innovative thinking to drive AI-driven solutions that enhance our software development lifecycle.
Requirements:
Bechelors degree in Computer Science, Software Engineering, Data science, or a related field, with 3 years of experience in DevOPS or similar roles.
5 years of experience in DevOPS or similar roles.
Mandatory AI experience- setting up local AI models, working with harness, using tools, MCP, and more practical experience in agent-based work on large projects: skills, tools, multi-agents.
Proficiency in multiple programming languages (at least python).
Experience with DevOPS tools: Docker, kubernetes, Jenkins, Git.
Deep understanding of language models and agents- context management, multi-agent systems, etc.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for an experienced DevOps Platform Engineer to join our Application Infrastructure team.

In this role, you will design, build, and operate scalable platforms and infrastructure that enable engineering teams to develop, deploy, and run services efficiently, securely, and reliably.

You will work in a complex, large-scale production environment using AWS, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.

What youll do:
Design, build, and maintain application infrastructure and platforms used by engineering teams.
Develop scalable, reliable, and secure infrastructure on AWS.
Build and improve CI/CD pipelines, deployment processes, and infrastructure automation.
Manage and operate Kubernetes-based production environments.
Develop self-service tools and platform capabilities that improve developer productivity and experience.
Improve system reliability, availability, performance, and scalability.
Define and implement best practices for infrastructure, deployments, observability, and security.
Lead troubleshooting, incident investigation, and root cause analysis for complex production issues.
Collaborate with R&D, Security, Architecture, Data, and Cloud teams.
Evaluate and implement AI-based tools for infrastructure automation, operational efficiency, incident analysis, and developer workflows.
Develop or integrate AI agents, LLM-based tools, and AIOps capabilities into platform engineering processes.
Requirements:
What you have:
3-5 years of hands-on experience in DevOps, Platform Engineering, or Infrastructure Engineering roles.
Strong hands-on experience working with AWS in production environments.
Proven experience with AWS services such as EKS, EC2, IAM, VPC, Route 53, S3, RDS, Lambda, CloudWatch, or similar services.
Strong experience with Kubernetes and containerized environments.
Hands-on experience with Infrastructure as Code tools, preferably Terraform.
Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Argo CD, or similar technologies.
Experience writing automation or production-grade code using Python, Go, Bash, or a similar language.
Strong understanding of Linux, networking, DNS, load balancing, and distributed systems.
Experience with monitoring, logging, tracing, and observability platforms.
Strong troubleshooting skills and the ability to investigate complex production issues.
Ability to work independently, take ownership, and drive projects from design through production.
Strong English communication skills and the ability to collaborate across multiple engineering teams.

AI Experience you have:
Hands-on experience using AI and Generative AI tools as part of software development, infrastructure, or operational workflows.
Experience working with LLM APIs, AI coding assistants, or AI automation tools.
Ability to identify processes that can be improved through AI and translate them into practical engineering solutions.
Understanding of prompt engineering, responsible AI usage, and the secure handling of sensitive information.
Experience with CAG, AI agents, RAG, MCP, LLM integrations, or AIOps solutions is an advantage.

Bonus points:
Experience working with data platforms, data infrastructure, or large-scale data processing systems.
Understanding of data pipelines, data ingestion, streaming systems, or distributed data architectures.
Experience operating large-scale, multi-region, or multi-account AWS environments.
Experience with GitOps tools such as Argo CD or Akuity.
Experience with service mesh, API gateways, or service discovery solutions.
Experience with Datadog, Prometheus, Grafana, OpenTelemetry, or similar observability tools.
Experience with cloud security, secrets management, and Vault.
This position is open to all candidates.
 
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26/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are constantly striving to make our systems reliable, scalable, and simple to operate so our services are available to travelers when they need them most. With our continued growth, we have exciting challenges ahead and we're looking for a Senior Site Reliability Engineer to join our team in Tel Aviv. This role blends classic SRE ownership with pragmatic AI SRE work: you will build and operate the platforms, automation, observability, and incident response practices that keep Navan reliable, while helping teams use AI solutions, AI providers, and their APIs safely and dependably.



This is a hands-on engineering role, not a research role. You will partner with product, platform, data, security, support, and incident response teams to make production systems and AI-powered experiences more resilient. You will use software engineering, infrastructure as code, SLOs, telemetry, provider observability, and automation as your main tools, and you will apply AI where it creates measurable reliability value rather than novelty.



This position is based out of our new Tel Aviv office.



What You'll Do:

Support AI-based application solutions where reliability matters. Partner with the development teams building AI-powered travel experiences to support the development and production operation of their solution.
Work with AI solutions, providers, and APIs. Partner with teams integrating AI capabilities and providers, with attention to API reliability, authentication, quotas, rate limits, latency and provider-specific operational constraints.
Troubleshoot AI tools and provider issues. Diagnose failures across AI-powered workflows, provider APIs, configuration, permission errors, degraded responses and related areas.
Operate reliable production platforms. implement and run cloud infrastructure,and help product teams move quickly without compromising reliability.
Improve observability. Build dashboards, alerts, traces, logs, and runbooks that make service health clear, actionable, and tied to SLOs and customer impact.
Apply AI to SRE workflows. Prototype and productionize AI-assisted systems that create effective and efficient operations
Automate operational toil. Create tools, workflows, and automation that remove repetitive manual work and make operational knowledge easier to use.
Requirements:
5+ years of experience as a Senior SRE, Infrastructure Software Engineer, Production Engineer, or DevOps Engineer.
3+ years of experience operating production, 24x7 customer-facing systems.
Hands-on experience delivering production infrastructure, platform tooling, and automation used by engineering teams.
Strong software engineering skills in Python, Go, Java, or a similar language, with a bias toward production-quality code, tests, monitoring, and documentation.
Experience with cloud infrastructure, container orchestration, Linux systems, networking, CI/CD, and infrastructure as code such as Terraform or CloudFormation.
Experience building, tuning, and automating observability systems such as Grafana, Prometheus, New Relic, Datadog, Splunk, or similar tools.
Familiarity with SLOs, incident response, on-call practices, root cause analysis, and blameless postmortems.
Practical experience or strong interest in AI solutions, AI providers, agents, AI APIs, provider integrations, or AI-assisted internal tools.
Ability to troubleshoot AI tools and provider/API issues, including rate limits, quota, auth, permission errors, latency, SDK or API contract changes, content quality issues, and service degradations.
Excellent communication skills and the ability to work with stakeholders and domain experts across the company.
This position is open to all candidates.
 
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30/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: More than one
We are looking for a Senior AI Platform & Innovation Engineer to join the AI Engineering Group in Tel Aviv.
This role is focused on designing and building the foundational AI platform that powers next-generation AI capabilities across products and engineering teams. You will help shape our AI strategy by building reusable platform capabilities, evaluating emerging AI technologies, and developing production-grade AI systems that enable developers, products, and business teams across the company.
What Youll Do:
Design and build reusable AI platform capabilities used across multiple products.
Architect and implement production-grade agentic systems, including multi-agent workflows, tool orchestration, memory and planning capabilities.
Design and build internal AI platforms such as organizational knowledge (Brain), AI developer tools, autonomous engineering workflows, and shared AI services.
Research, evaluate and integrate emerging AI models, frameworks and developer tools into the platform.
Collaborate closely with Data Science teams to transform research into scalable production-ready AI capabilities.
Design end-to-end AI architectures, from data ingestion and retrieval to orchestration, model integration and production deployment.
Build and operate production AI services using modern cloud-native technologies.
Improve the reliability, scalability and observability of AI systems.
Define engineering standards, reusable patterns and best practices for AI development across engineering teams.
Lead technical proof-of-concepts and drive adoption of innovative AI technologies.
Mentor engineers and provide technical leadership on complex AI initiatives.
Requirements:
B.Sc. in Computer Science or a related field.
5+ years of backend software engineering experience.
3+ years of hands-on experience building production AI systems.
Strong Python development experience - Must.
Hands-on experience with Kubernetes, Docker and deploying production workloads in cloud-native environments - Must.
Hands-on experience with CI/CD pipelines, GitOps workflows and modern software delivery practices - Must.
Deep understanding of Large Language Models (LLMs), prompting, reasoning techniques, structured outputs, tool calling and retrieval architectures - Must.
Strong experience designing and building end-to-end AI systems, from data ingestion and orchestration to production deployment.
Experience designing AI agents, agentic workflows or AI automation systems.
Experience working with Data Science or Machine Learning teams.
Strong software architecture and distributed systems design skills.
Experience with vector databases, graph databases or modern AI data platforms - an advantage.
Experience with AI frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, Semantic Kernel, AutoGen or similar - an advantage.
Experience evaluating and integrating emerging AI technologies into production systems - an advantage.
Excellent spoken and written English skills.
A proactive, curious and collaborative mindset, with a passion for building AI platforms and driving technical innovation across engineering teams.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability, security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis, capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI teams.
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.
Requirements:
5+ years of experience as a DevOps Engineer or similar
infrastructure-focused role.
Hands-on experience with Azure, Aws, or GCP.
Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms.
Strong knowledge of Terraform and Infrastructure as Code practices.
Experience with Docker, Kubernetes, Argo CD, and Kustomize.
Experience designing and operating production-grade Kubernetes saas platforms or enterprise environments.
Experience with monitoring and observability tools such as Prometheus, Grafana, and ELK.
Strong troubleshooting, analytical, and communication skills.
B.Sc. in Computer Science, Computer Engineering, Information Systems, or a related field (or equivalent practical experience).
Nice to have:
Experience supporting AI, Machine Learning, or Generative AI workloads, including familiarity with MLOps concepts, AI deployment platforms, or cloud-based AI services.
This position is open to all candidates.
 
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4 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
MA?LYS is a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally.
We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data-driven decisions, and moving quickly from idea to execution.
We are looking for a Head of AI to build and lead MA?LYS' AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations.
To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders.
Your life at MA?LYS will look like…
* Define and lead the company's AI strategy and execution roadmap.
* Identify the highest-impact opportunities for AI across all business functions.
* Prioritize initiatives based on measurable business value, speed of implementation, and scalability.
* Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents.
* Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making.
* Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks.
* Drive adoption and behavioral change across teams.
* Partner directly with business leaders to identify opportunities and implement solutions.
* Evaluate emerging technologies, models, vendors, and platforms.
* Establish governance, standards, architecture, and best practices for AI development.
* Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have…
* Strong technical foundation in Computer Science, Software Engineering, Data Science, or a related field.
* 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments.
* Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
* Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments.
* Strong proficiency in Python, SQL, APIs, and data-driven application development.
* Deep understanding of business operations, growth metrics, p
Requirements:
This position is open to all candidates.
 
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Location: Jerusalem
Job Type: Full Time and Temporary
We are looking for an Applied AI Engineer to join the MECI Interfaces team within the Software Engineering organization. The MECI Group enables our algorithmic development flow by building scalable CI, build, test, and AI-driven tooling that supports the full development lifecycle. Our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and developer well-being.
As an Applied AI Engineer, you will be at the forefront of integrating Large Language Models (LLMs) and agentic workflows into our internal platforms. Your primary goal will be to solve complex problems across the Software Development Life Cycle (SDLC) by building intuitive, AI-powered tools that directly support our developers and internal users. This role offers the unique opportunity to both expand the intelligence of our existing developer tools and architect entirely new workflows from the ground up in a highly technical, fast-paced environment.
What will your job look like?
Design, develop, and deploy AI-driven internal tools and agentic workflows that accelerate the SDLC and reduce friction for our developers.
Expand the capabilities of existing platforms by embedding smart, context-aware LLM features.
Identify high-impact bottlenecks across the engineering organization and build zero-to-one AI solutions to solve them.
Architect robust orchestration layers around LLMs, focusing on practical implementations of custom system "skills," tool calling, Model Context Protocol (MCP) integrations, memory management, and Retrieval-Augmented Generation (RAG).
Maintain a framework-agnostic approach, rapidly evaluating and adopting the most effective AI models, APIs, and open-source techniques as the landscape evolves.
Requirements:
All you need is:
B.Sc. in Computer Science, Software Engineering, or a related technical field.
4+ years of hands-on software engineering experience, with a strong focus on Python development.
Proven experience building and deploying production LLM applications, including agentic. workflows, tool calling, and context management.
Nice to Have:
Deep understanding of CI/CD pipelines, DevOps practices, and automated build/test systems.
Experience with cloud infrastructure and modern deployment architectures.
Familiarity with Git and GitLab, backed by practical experience in automating developer workflows.
This position is open to all candidates.
 
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26/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a mission-driven BizOps Engineer to join our R&D team!
We specialize in advanced AI predictive models, focusing on LTV, churn, and intent to drive business growth.
As the BizOps Engineer, you will serve as both a platform architect and a hands-on builder. You will own the AI-native platform architecture and governance for all non-core product functions, including Sales, Operations, HR, Legal, and Finance, while also building, maintaining, and scaling custom AI solutions yourself to address specific departmental needs.
Reporting directly to the VP of R&D, this role begins as a high-impact Individual Contributor (IC) with a clear mandate to build and lead a dedicated engineering team as the function scales. Your primary focus will be designing and deploying infrastructure and security protocols while simultaneously delivering the bespoke AI tools that empower teams and drive operational efficiency.
You will have the autonomy to choose the most effective path forward for any given challenge, whether that means leveraging existing SaaS platforms, integrating open-source projects, or building custom solutions from scratch, always guided by the specific needs and projected ROI of the departments you support.
Responsibilities:
Architect and maintain the internal AI-native platform, while personally building and scaling custom AI solutions and automated workflows for cross-functional teams.
Establish and enforce security protocols, governance frameworks, and best practices to enable safe and compliant AI solution development across the organization.
Identify and scale platform enablement opportunities that allow departments to automate their own workflows using approved AI capabilities.
Monitor and manage organizational compliance for internal AI applications, ensuring data privacy and ethical standards are met at scale.
Requirements:
5+ years in software engineering, DevOps, or business systems engineering.
Deep technical proficiency in AI-native tools (LLMs, RAG, agentic workflows) and hands-on experience building complex API-first integrations and data pipelines.
Strong product sense and intuition for user needs to design ROI-driven internal tools that translate operational bottlenecks into technical requirements.
Ability to operate effectively as an individual contributor today while possessing the vision to build and lead an engineering team as the function scales.
This position is open to all candidates.
 
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20/08/2026
חברה חסויה
Location: Yokne'Am Illit
Job Type: Full Time
We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team. The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution.
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework).
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features / components.
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.
Requirements:
Qualifications
B.Sc. in Computer Sciences or similar.
At least 5 years of experience in Python backend development.
Experience with prompt engineering and optimization.
Profound knowledge in OOP and design patterns.
Experience and knowledge of server-side technologies such as FastAPI, Pydantic, Alembic.
Experience with Docker containers, Kubernetes and Cloud environments.
Expertise in testing methodologies (Unit-testing, TDD, mocking).
Fluent with Relational databases (SQL).
Good problem-solving and analysis abilities.
Excellent team player with strong communication skills.

Agentic AI Experience
1+ year building agentic AI systems or autonomous agents.
Experience with agent frameworks and orchestration tools (AutoGen, LangChain, CrewAI or similar).
Understanding of ReAct, Chain-of-Thought, and other reasoning patterns.
Knowledge of tool use and function calling in AI systems.
Experience with agent evaluation and testing methodologies.
Understanding of agent safety, reliability, and error handling.

Requirements - Advantage
Experience in Java backend development.
Experience and knowledge of server-side technologies such as Java, Spring.
Experience with Azure / GCP cloud services.
Experience with large scale SQL / NoSQL databases (SingleStore, Postgres).
Experience with Agile Development, or Extreme Programming methodologies.
Experience with Azure OpenAI Service and Azure AI services.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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07/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives in our company, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.


What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes Forters vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard Forters value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across us to accelerate AI adoption and productization efforts.
Requirements:
5+ years of strong backend and server-side development experience, building complex, highly scalable systems.
Proven experience with at least one general-purpose language (preferably Python, but not a must).
Strong product management skills, with the ability to gather and refine requirements from non-technical internal users.
A strong sense of ownership, with some DevOps experience and a willingness to develop, deploy, and run projects end-to-end.
Solid understanding of GenAI, LLMs and foundation models.
Strong familiarity with AI coding tools like Claude Code, Github Copilot, Cursor, or similar.
Hands-on experience with building AI-driven workflows, agentic frameworks, evals, RAGs, MCPs, skills, etc.
Experience working with public clouds (AWS / GCP / Azure).
Fluent in written and spoken English.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8812781
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
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 :)
07/09/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are a fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team at our company is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for an AI AppSec Engineer to join our team and make a real impact on our Secure Software Development Lifecycle! As an AI AppSec Engineer your mission will be to be the driving force behind our secure development lifecycle. You wont just find bugs; you will help build the systems that prevent them. You will have the opportunity to help navigate the "Agentic Era" by building autonomous security guardrails, securing LLM-based workflows, and empowering developers to move fast without breaking security. You will also be responsible for working closely under the AppSec Architect. This role is based out of our Tel-Aviv site and will report to the AppSec Architect

What you will be responsible for:

* Build & automate: Develop and maintain internal security tooling, automated workflows, and AI security agents.
* Code integrity: Execute secure code reviews and provide actionable remediation guidance to engineering teams.
* Vulnerability management: Lead the tracking, triaging, and reporting of security flaws across all product lines.
* Best practice advocacy: Drive the adoption of secure coding standards, partnering with R&D and DevOps teams to embed security early and often.
* Extend our D&R capabilities: Build scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents.
* Document: Draft requirement documents for security products and innovative technologies.
The top candidate will also have:

* Endless curiosity and passion for emerging technology
* Ability to handle prioritize and execute multiple tasks simultaneously.
* Ability to work collaboratively across multiple departments.
* Fluent in English - ability to lead meetings and present.
* Strong communication and collaboration skills.

Why you should join us:

* Our global team is made up of awesome forward thinking, innovative go-getters.
* Learning and growth opportunities within a fast-paced tech startup environment.
* Clear career advancement path for strong performers.
* We are committed to setting each other up for success. As a member of our team, you will work within an environment that encourages growth, initiative taking and continuous mutual feedback in order to reach your full potential.
* And of course, Wolt+ and lots of yummy treats in the kitchen:-) Does this sound like a perfect position for you or a friend? apply here.
Requirements:
* 2-4 years experience as an Application Security Engineer or similar role from a Software Development Company
* In-depth knowledge in threat modeling, risk management, and security controls.
* Experience with AI Security and Security AI.
* Proficiency with OWASP Top 10: API, LLM, and Agentic applications.
* Hands-on competency integrating security tools such as SAST, DAST, SCA, and API security testing.
* Familiarity with CI/CD pipelines and Infrastructure as Code implementation.
* Practical background in software development and coding.
* In-depth knowledge of cloud technologies and cloud-native applications, AWS and GCP.
* Cybersecurity certifications such as OSCP, GPEN, CSSLP.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8812758
סגור
שירות זה פתוח ללקוחות VIP בלבד