לוח משרות דרושים הייטק

Requirements:
Solid foundation of experience managing Linux systems in virtual environments (6+ years)
Deploying and maintaining highly available infrastructure in one or more Cloud providers (5+ years, AWS or GCP preferred)
Infrastructure as code using Terraform (4+ years)
Creating, deploying, maintaining, and troubleshooting Docker images (4+ years)
Scoping, deploying, maintaining and troubleshooting Kubernetes clusters (4+ years)
Developing and maintaining an active codebase in Go, Python preferably (3+ years)
Experience with PaaS technologies (5+ years, EKS and GKE preferred)
Maintaining monitoring and observability tools (Datadog, Prometheus preferred)
Thorough understanding of network infrastructure and concepts (VPNs, routers and routing protocols, TCP/IP, IPv4 and v6, UDP, OSI layers, etc.)
Experience with load balancing and proxy technologies (Istio, Nginx, HAProxy, Apache, Cloud load balancers, etc.)
Debugging and troubleshooting complex problems in cloud-native infrastructure.
Slack native mentality.
Bachelors Degree in Computer Science or a related technical discipline, or the equivalent combination of education, technical certifications, training, or work experience.
Abilities Required:
Demonstrated ability to learn new technologies quickly and independently
Strong technical, organizational and interpersonal skills
Strong written and verbal communication skills
Must be able to read, understand, and communicate complex problems and solutions in English over a textual medium (such as Slack)

Requirements:
The "Builder" Mentality is a must!
1 - 2 years of experience in GTM Engineering, Business Technology, or Solutions Engineering within a fast-paced startup or high-growth environment.
You have a working knowledge of database usage and security best practices.
Deep, hands-on experience applying AI and APIs to solve business problems.
You should be fluent in modern tools like Claude code, Cursor, n8n, v0/Vercel, or Glean.
You possess the ability to write prototype or production-level code in Python, JavaScript/TypeScript, or similar languages; however, the specific programming language is less important than your ability to solve problems.
Familiarity with modern GTM stacks, including Salesforce, Marketo, Pocus, or similar platforms.
A self-motivated problem-solver who thrives in environments where they get to own the end-to-end workstream and report directly to executive leadership.
Exceptional ability to adapt your communication style to both technical internal teams and non-technical stakeholders

Requirements:
Master degree or higher in Computer Science/Mathematics/Physics,/Electric engineering or equivalent is a must
Strong theoretical background in Machine Learning
An understanding of linguistics theory and principles (semantic relations, parsing methods, etc.)
2+ years experience with Python
3+ years experience with conducting NLP research (Specifically: Text) using Deep Learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.)
Educate our customers on new and existing features, best practices, and a variety of use cases across industries. This is achieved by planning and hosting online demos, consultations, and screen shares on both a one-to-one and one-to-many basis.
An in-depth understanding in one or more of the following will be a plus:
Optimization
Information theory
Probability and statistics
Bayesian methods
Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS)
Experience with distributed DL
Experience with cloud ML (GCP, AWS, etc.)

Requirements:
BS.c / BA in Computer science (or other relevant degrees), and at least 5 years of experience - Must
Experience with NodeJS - Must
Experience with ReactJS, React hooks - Must
Experience with Typescript - advantage
Experience with distributed architecture, microservices, REST API - Must
Experience in Java, Spring Framework - advantage
Team player, willing to work in a dynamic startup environment (Agile)
Experience in large scale data processing pipelines- must

Requirements:
5+ years of experience in Backend engineering
5 years Python experience or at least 2+ years of Python experience and 3+ years with Java /nodejs.
Experience with Microservices, distributed processing & messaging.
Cloud expertise: AWS/, GCP/ Azure
Experience with NoSQL (MongoDB, ElasticSearch, Druid, Redis).
Experience with Docker and Kubernetes
Self-driven, proactive, and passionate about doing things the right way.

Requirements:
5 years of experience in Python (+Java / Scala)
Experience in Building data lakes, including ingestion and transformation (DBT)
Data Warehousing & ETL Pipelines
SQL & Advanced Query Optimization
Experience in data formats (Parquet, Avro, ORC)
Experience in streaming (Spark Streaming, Flink, Kafka Streams, Beam, etc.)
Experience in NoSQL and data storage (e.g. Elastic, Redis, MongoDB, CouchBase, BigQuery, Snowflake, Databricks)
Experience in messaging (Kafka, RabbitMQ, etc.)
Experience in cloud platforms (AWS, GCP)

Requirements:
4+ years of experience as a backend software engineer building production systems.
Proficiency in Python, Node.js, or Go, with a strong focus on clean, maintainable code.
Hands-on experience with AWS serverless services (e.g., Lambda, API Gateway, DynamoDB, SQS/SNS) and infrastructure-as-code.
Experience designing API-driven and event-driven systems.
Strong familiarity with AI development assistants (e.g., Cursor, Claude Code) and active usage in day-to-day development workflows.
Solid problem-solving skills and the ability to work independently in a fast-paced startup environment.
Advantage:
‍‍Experience working on fully serverless systems in production.
Experience with CI/CD pipelines, automated testing, and monitoring in production environments.
Strong communication skills and a collaborative mindset.
Familiarity with frontend technologies (e.g., React, basic frontend architecture) - even if backend is your core focus.

Requirements:
4+ years of experience developing modern frontend applications with React and TypeScript.
Proficiency in building and scaling design systems, collaborating closely with Product and UX.
Hands-on expertise with large-scale state management (Redux, React Context, React Query).
Experience working across the stack with Python/Node/Go.‍
Solid knowledge of cloud infrastructure such as AWS or GCP.
‍Hands-on experience with AI dev assistants such as Cursor is required, since we rely on them in day-to-day development.
Strong problem-solving skills, excellent communication, and a desire to thrive in a fast-paced startup environment.
Solid grasp of CI/CD pipelines, automated testing, and monitoring in production.
Advantage:
‍‍Experience in the Cyber Security Domain is a big bonus.
Experience building AI-based applications.
Service in elite tech units (e.g., 81, 8200, Talpiot) or equivalent experience is a nice-to-have.

Requirements:
Strong hands-on interest experience in Application Security - including knowledge of software vulnerabilities, secure coding practices, and modern development workflows (a strong advantage).
2+ years of experience as a backend engineer building large-scale products.
Proficiency in Python/Node/Go with a passion for writing clean, maintainable code.
Experience with Docker containers.
Familiarity with at least one major AppSec domain: SAST, SCA, Secret Detection, IaC Scanning, Container Scanning, CSPM, or DAST.
Understanding of CI/CD pipelines and modern DevOps workflows.
Self-driven and curious, with the ability to work independently in a dynamic startup environment.
Hands-on experience with AI dev assistants such as Cursor is required, since we rely on them in day-to-day development.
Advantage:
‍‍Experience using AI tools and practices.
Knowledge of cloud-native security (AWS, GCP, Azure).
Service in elite tech units (e.g., 81, 8200, Talpiot) or equivalent experience is a nice-to-have.
Contributions to open-source security tools, technical blogs, or research publications
‍

Requirements:
At least 4 years of hands-on backend software development experience, with a strong track record of designing, shipping, and operating scalable, maintainable production systems.Proven experience building and operating agentic AI systems in production, including:
Building agentic solutions that actively serve real customers in live production environments.
Designing, implementing, and iterating on multiple Retrieval-Augmented Generation (RAG) techniques.
Constructing evaluation frameworks to continuously measure agent quality, reliability, and failure modes in production.
Experience designing and working with multi-agent architectures, including agent coordination, task decomposition, and clear responsibility boundaries.
Strong communication skills and the ability to work effectively within a highly collaborative, cross-functional environment.
Hands-on experience with AI development assistants such as Cursor is required, as they are part of our day-to-day development workflow.

Requirements:
At least 10 years in sw and a minimum of 5+ years in an engineering leadership role, including managing team leads in large groups (20+ )
Proven background as a Full-Stack Developer with a strong, hands-on command of both frontend and backend development.
Deep understanding and practical experience with modern system architecture (e.g., microservices, distributed systems).
Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker/Kubernetes), and CI/CD pipelines.
Strong product sense and the proven ability to translate product vision into a viable technology strategy.
Excellent communication skills, demonstrating the ability to work effectively across all functions.
Proven ability to successfully recruit, develop, and retain top engineering talent.
Bachelors or Masters degree from a leading university in Computer Science, Engineering, or a related field
Preferred Skills (Nice to Have):
Prior experience with Software as a Service (SaaS) platforms targeting Small to Medium Businesses (SMBs) or independent Professionals.
Background in productionizing Machine Learning or AI models, with specific experience in areas like computer vision or image processing.