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Requirements:
What You Bring
You have at least 5 years of experience, preferably in fast-paced startup environments.
You are a Swiss Army Knife. While you might have a favorite language, you are highly proficient in Python, Go, or TypeScript and can pick up others as needed.
Proven experience with AWS (Lambda, DynamoDB, RDS) and containerization (K8s, Docker).
Experience with modern data lakehouse architectures (Iceberg/Spark) or high-performance databases (Clickhouse) is a significant advantage.
You understand the fundamentals of SaaS security and are excited by the challenge of securing AI agents and LLM workflows.
B.Sc. in Computer Science or Software Engineering from a leading university or equivalent experience from technological units.
Solid understanding of system design, distributed systems, and cloud infrastructure.
Team player with a get things done attitude, comfortable in a fast-paced startup culture.
Experience with performance tuning, observability, and secure coding practices.

Requirements:
Programming mastery in Python with deep expertise in data structures, algorithms, and distributed systems (Go experience a strong plus - it's core to our next-gen services).

6+ years building backend / distributed systems at scale.

Hands-on experience with event-streaming / message-queue architectures (Kafka or similar) and distributed data processing.

Experience with relational and document stores (PostgreSQL, MongoDB) and caching (Redis).

BS or MS in Computer Science or related engineering discipline.

Bonus: security/detection background, ML for anomaly detection, or applied LLM/GenAI experience.

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Requirements:
5+ years of experience in backend and systems programming (Go / Python / NodeJS / Java / C#)

Cloud internal deep knowledge (AWS / GCP / Azure)

Experience with the design of distributed systems, microservices architectures, and event-based architectures for runtime systems at scale

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes

Experience with Docker / Kubernetes or similar

Ownership, Responsibility and professionalism

Ability to learn quickly and independently

Great interpersonal skills

Requirements:
5+ years of relevant industry experience, with a proven ability to own and deliver complex projects.

Strong background in backend development (Node.js / Typescript / JavaScript / Other, ideally in microservices or serverless architectures).

Experience with NoSQL data stores (MongoDB, DynamoDB, or similar).

Excellent communication and collaboration skills; you thrive in cross-functional settings.

Strong grasp of Agile development practices.

Experience delivering APIs used by web, mobile, and/or third-party partners.

Requirements:
Bachelor's degree in Computer Science or equivalent experience.
5+ years of experience in DevOps/Software Engineering working in one or more of the big public clouds (AWS / Azure / GCP).
3+ years of experience managing Infrastructure-as-Code (Terraform / AWS CDK / CloudFormation).
Basic understanding of Cloud Networking concepts (VPC peering, Subnetting, Load Balancing, DNS).
Familiarity with Kubernetes components (Control Plane, Worker Nodes, ETCD) and standard maintenance routines (upgrades, scaling, node patching).
Knowledge of AWS common best practices-design, implement, and maintain scalable and reliable cloud infrastructure solutions.
Hands-on coding/scripting skills in TypeScript/Python/Golang and Linux Bash.
Experience with microservices methodology, Git, and CI/CD (preferably GitHub Actions & ArgoCD).
Experience maintaining infrastructure that requires high availability and security.
Strong written and verbal communication skills in both English and Hebrew.
Advantages:
Experience setting up Kubernetes clusters from scratch.
Experience with Helm and Service Mesh technologies (e.g., Istio).
Experience with observability platforms (e.g., Datadog, ELK, CloudWatch, Prometheus/Grafana).
Experience developing Kubernetes Operators.
Familiarity with Crossplane.

Requirements:
Experience: 5+ years in corporate security engineering within high-growth, cloud-native environments.
Identity Expertise: Expert-level proficiency with Okta (SSO, MFA, IGA) and experience with federation protocols (SAML, OIDC, SCIM).
Endpoint/Device Security: Deep hands-on experience with EDR (CrowdStrike) and MDM solutions (Intune, Jamf).
Automation: Strong track record of automating security workflows using SOAR or scripting (Okta Workflows, Python, etc.) to drive efficiency.
Technical Breadth: Proficiency in Zero Trust models, SaaS/Cloud security, and vulnerability management.
Soft Skills: Proven ability to translate complex technical risks into business context and collaborate effectively across technical and non-technical teams.

Requirements:
*3-5+ years of front-end development experience.
*Proficiency in React, JavaScript/TypeScript, and standard UI component architecture.
*Strong practical experience building, deploying, and tracking various types of A/B tests (client-side and server-side) and working with site optimization platforms.
*Ability to work effectively in a fast-paced environment, managing multiple priorities and adapting quickly to new marketing initiatives.
*Ability to write clean, maintainable code and implement standard testing practices.
*Good communication skills and the ability to work cross-functionally with non-technical teams.

Requirements:
Experience: 5+ years as a Software Engineer, with 1-2 years hands-on building and shipping AI/LLM-powered systems to production.
Engineering Fundamentals: Strong backend engineering skills with sound software engineering principles - APIs, testing, and clean architecture.
Agentic Systems: Hands-on experience designing and building LLM-powered agents using modern agentic frameworks (e.g., LangChain, LangGraph, Claude/OpenAI Agents SDK), including experience building MCP servers.
Production LLM: Proven track record deploying agentic applications to production - managing latency, cost, reliability, and failure modes.
Evaluation \\& Observability: Experience building evaluation frameworks and LLM observability tooling (e.g., Langfuse or similar).
Cloud \\& Infrastructure: Hands-on with cloud platforms (GCP/AWS), containerization (Docker, Kubernetes), and CI/CD pipelines.
AI Tooling: Fluency with modern AI coding tools (Cursor, Claude Code, Copilot) and agentic workflows - leveraging AI to accelerate the full software development lifecycle.
Cross-Functional Collaboration: Ability to partner with Data Scientists, ML Engineers, Product Managers, and Analysts to translate requirements into production systems.
Ownership \\& Urgency: Strong sense of ownership and urgency, comfort with ambiguity, ability to operate independently and move fast.

Requirements:
BSc in Computer Science or a related degree from a recognized institution, or a strong track record in server-side development with advanced technical skills.
6+ years of experience in software engineering with a demonstrated ability to work on large-scale projects and solve complex technical problems.
Proficiency in one or more programming languages such as C/C++, C#, Java, Go, or Python, with the ability to adapt to new tools and technologies.
Solid experience building scalable, distributed systems with an understanding of microservices architecture and API design.
Experience with cloud platforms such as AWS, Azure, or GCP, with knowledge of best practices for deploying and maintaining cloud-based services.
Strong problem-solving skills, with experience debugging and resolving production issues in complex systems.
Ability to prioritize tasks, manage workload efficiently, and contribute to the technical growth of the team.

Requirements:
5+ years of experience in backend and server-side software engineering, with a demonstrated ability to design and scale data-intensive systems and solve complex technical problems
Strong proficiency in a backend language such as Go, C/C++ or similar
Previous knowledge and experience with AI tools or integrating AI-driven solutions into products- an advantage
Solid understanding of TCP/IP protocols and Unix internals
Degree in Computer Science, Software Engineering, or a related technical field (not a must; we're always looking for super talented people)
And Ideally
Cybersecurity domain knowledge
Experience developing network/packet sniffing applications
Understanding of LLMs and agentic work flows
Hands-on experience integrating LLMs or ML models into production systems

Requirements:
BSc in Computer Science or equivalent (required), with an MSc as an advantage.
4+ years of hands-on software development experience, including work with one or more programming languages (Python, Go, Java, etc.).
2+ years of professional Python experience - advantage.
Experience with AWS or other cloud platforms - advantage.
Strong grasp of core software engineering principles: data structures, multithreading, OOP, and design patterns.
Proven experience building and scaling highly available, distributed, large-scale systems.
A fast learner who quickly absorbs new technologies and concepts.
Solid understanding of system design, distributed systems, and software architecture.
Excited about solving algorithmic challenges in transportation, routing, and navigation.
A collaborative team player with excellent communication skills who thrives in fast-paced environments.
Demonstrates strong ownership, driving projects from concept to completion.
Pragmatic and concise: able to break down complex problems into clear, manageable pieces and deliver solutions that are simple, elegant, and impactful.

Requirements:
What Were Looking for:
5+ years of professional backend engineering experience.
Strong proficiency in at least one backend programming language (Java etc).
Experience building and maintaining production-grade APIs and microservices.
Solid understanding of distributed systems, data structures, and algorithms.
Experience with SQL and NoSQL databases.
Track record of delivering consumer-facing products at scale.
Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
Familiarity with LLMs, RAG, or conversational AI.
Knowledge of vector databases and embedding technologies.
Experience with cloud platforms (AWS, GCP, Azure).
Understanding of AI/ML concepts and implementation patterns.

Requirements:
What We're Looking For
3+ years of experience in Software Engineering, Machine Learning, Data Science or related AI roles.
Hands-on experience building and deploying production AI applications using LLMs and Generative AI technologies.
Strong Python development skills.
Experience with GenAI techniques such as RAG, AI agents, prompt engineering, model evaluation or similar approaches.
Experience working with leading LLM providers (OpenAI, Anthropic, Cohere or open-source models).
Experience working with cloud platforms (AWS, Azure or GCP) and familiarity with MLOps practices.
Demonstrated technical leadership through architecture ownership, technical decision-making, or mentoring other engineers.
Important Note:
This is a hands-on technical leadership role. We're looking for engineers who enjoy taking ownership, influencing technical direction and helping other engineers succeed while continuing to build production AI systems. A formal Tech Lead title isn't required. We're interested in engineers who have demonstrated technical leadership through the systems they've built, the technical decisions they've driven and the engineers they've mentored.

Requirements:
Passionate team player with a minimum of 5 years of experience
Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
Deep AI Coding capabilities, with an emphasis on staying up to date with the latest developments at all times
Experience writing code in Agile, CI/CD-based environments
Experience working in a high-growth startup environment
Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch
Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg
Experience working on large-scale services based on AWS/Azure/GCP

Requirements:
5+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax.
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
A deeper understanding of software development best practices and demonstrate leadership skills.
A demonstrated, genuine AI-first approach to engineering - using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
Desired Skills:
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3
Hands-on experience with Streaming technologies like Kafka
Experience with Elastic Search
Experience with Terraform, Kubernetes, Docker
Experience working in a high-paced and rapidly growing multinational organization.