לוח משרות דרושים הייטק תוכנה משרה מלאה

Requirements:
6+ years of experience in software development, with a strong focus on Backend.
Minimum 1 year of experience in a leadership or team management role, preferably in a global setup.
Deep expertise in Cybersecurity is a must; you understand the offensive and defensive landscape.
Hands-on mastery of Node.js and experience building complex, distributed systems.
Strategic thinker capable of establishing a new domain from the ground up while balancing hands-on work with leadership.
Strong communication skills in English to effectively lead a global team and interface with stakeholders.

Requirements:
7+ years of experience in software engineering, with 3+ years in a managerial role
Proven managerial experience in developing, incubating, and releasing a product from the ground up
Proven experience in leading and growing engineering teams in dynamic environments
Strong technical background with the ability to dive deep and make high-level architectural decisions
Excellent collaboration and communication skills
Comfortable working in a fast-paced, hybrid startup environment
A proactive, hands-on leader who thrives on impact and accountability
Passion for building scalable, secure, and high-performing products

Requirements:
At least 6 years of experience in quality testing complex systems - SaaS and on-premises
Practical hands-on knowledge of cloud technologies (AWS, GCP, Azure), Kubernetes, Docker
Hands-on experience with automation frameworks such as Playwright with Python
Experience with leveraging Generative AI tools to accelerate quality-related tasks: test case creation, bug reporting, scripting/tooling, and more - an advantage
Ability to guide development teams, provide clear and constructive quality feedback, and challenge design or implementation decisions
Ability to take ownership using strong problem-solving and decision-making skills

Requirements:
Backend-LLM & agent architecture - 5+ years in production ML/AI and backend systems; recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE). You think in terms of nodes, state schemas, routing, and human-in-the-loop.
Technical stack - Proficient in Python; comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar. Experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking) expected.
Generative AI in production - Proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows. You care about observability, validation, and safe rollout.
Bachelor's degree or higher in Computer Science or a related field, and strong communication and collaboration skills.

Requirements:
7+ years of experience with Continuous Integration tools: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM
Ability to build software delivery pipelines with Docker, npm, Java, Pypi, etc., with various DevOps tools such as Git, Binary repositories management, Binary scanning, and Continuous integration
Good understanding of infrastructure & operations - storage, network, computer, security, cloud (public, on-prem)
Experience with Continuous Deployment and Delivery tools: Chef, Puppet, Ansible, Kubernetes
Hands-on experience in Linux - Mandatory
Hands-on experience with cloud infrastructure - AWS / Azure / GCP - Mandatory
Experience with customer-facing roles with great interpersonal and customer service-oriented skills
Experience with server-side software on-premise and in the cloud
Experience with Software Architecture design and product development is a plus
Uncompromising will to learn
Open Source state-of-mind
Active security clearance is an advantage; chosen candidates will need to complete a security assessment

Requirements:
5+ years of relevant DevOps experience in large-scale production environments
5+ years of hands-on experience in network architecture and technical problem-solving in the area of Nginx and Ingress controllers and proxies
3+ years of advanced cloud infrastructure management (VPC, Load balancers) or container orchestration (Kubernetes)
3+ years in Python or any other advanced programming language
Strong ability to lead, design, and execute cross-organization projects
Hands-on experience administering public clouds (AWS, GCP, or Azure)
Experience with building CI/CD pipelines for applications and microservices

Requirements:
3+ years of experience in a DevOps role, with a strong focus on managing Kubernetes-based environments and Helm orchestration
A proven track record in working with metrics-based monitoring and observability solutions such as Prometheus, Thanos, and Grafana
Experience developing in Python or any other advanced programming language
Hands-on experience with at least one major cloud provider (AWS, GCP, or Azure), specifically in building and scaling production-grade infrastructure
Experience implementing CI/CD and automation processes for the deployment of various observability systems and infrastructure components
In-depth knowledge of logging systems and data flows, with familiarity with tools like the ELK stack or Coralogix
Familiarity with APM tools and modern observability standards such as OpenTelemetry, New Relic, or Datadog

Requirements:
4+ years as a Full Stack Engineer
Deep knowledge and hands-on experience with design patterns, data structures, and software design methodologies
Experience with Node.js & TypeScript and/or Java
Experience with Docker, Kubernetes (K8s), Microservices
Experience with Single Page Applications (SPAs) - Vue.js/React/AngularJS/Angular
A data-driven mindset with an understanding of how to leverage data to drive decisions and measure success
Strong communication and collaboration skills to work effectively with cross-functional teams including marketing and sales
A strong focus on delivering value to end users

Requirements:
3+ years of experience in technical sales, presales, or sales engineering roles (experience with MEDDPICC is a plus).
Fluency in English is required, with the ability to conduct business conversations and technical discussions.
Proven expertise in DevOps tools and methodologies, including Docker, Kubernetes, CI servers, Git, Artifactory, and build tools.
Strong experience building software pipelines using diverse DevOps tools.
Hands-on experience with Linux and cloud platforms (AWS, Azure, or GCP) - mandatory.
Familiarity with software architecture design, scalable product development, and on-premise/cloud hybrid environments.
Experience delivering POVs and technical demonstrations to diverse stakeholders, from technical teams to business leaders.
A customer-centric mindset with a "can-do" attitude and a passion for learning and solving complex problems.
Exceptional communication and presentation skills, capable of translating technical concepts into business value for varied audiences.

Requirements:
5+ years of overall software development experience, with at least 3-4 years specifically in Go, including advanced concurrency, performance optimization, and systems-level programming
Strong experience with TypeScript/Node.js for building GitHub Actions, CLI tooling, and automation frameworks
Hands-on experience integrating AI/LLM capabilities into engineering workflows - including prompt engineering, AI agent orchestration, and automated code generation pipelines
Deep understanding of CI/CD platforms, with mandatory experience in GitHub Actions (workflow authoring, custom actions, runner internals)
Proficiency with OpenTelemetry or equivalent distributed tracing and observability frameworks
Experience with Docker and BuildKit internals, including multi-stage builds, layer caching strategies, and build output parsing
Solid understanding of Linux system internals, including process management, file systems, and shell scripting (bash)
Strong background in building developer tools that integrate seamlessly into existing workflows without disrupting them
Advantage Skills:
Experience with build system optimization across multiple ecosystems (Go, Gradle/Maven, npm/yarn, pip/uv, Cargo)
Familiarity with bash parsing libraries or shell interpreters (e.g., mvdan/sh)
Experience with agentic AI systems - autonomous agents that plan, execute, and iterate on code changes with minimal human intervention
Background in pattern detection, anti-pattern recognition, or static/dynamic analysis tools
Experience with Kubernetes (K8s) and cloud-native CI/CD environments
Familiarity with major cloud platforms (AWS, GCP, Azure)
Experience with platforms like Jenkins or GitLab CI
Knowledge of performance profiling techniques and build graph analysis
Experience with JFrog Artifactory or similar binary repository and artifact management platforms
Understanding of software dependency graphs and build orchestration
Familiarity with secret management and security - conscious development practices

Requirements:
5+ years of proven experience in software development
Strong proficiency in Python/Java
Strong background in designing, developing, and debugging complex distributed systems (e.g., microservices, event-driven architectures)
Hands-on experience with containerized environments, microservices, and Kubernetes
Proven experience with at least one major cloud provider (e.g., AWS, GCP, Azure)
Ability to lead technical discussions, mentor engineers, and drive architectural decisions

Requirements:
3+ years malware research experience in any of the following languages: Native code (C, C++), .NET (C# etc), Python, Node.JS, Java, Go
Experience in writing technical reports
Programming experience in Python
Advantage - Binary reverse engineering experience
Advantage - DevOps experience

Requirements:
BSc/BA in Computer Science or equivalent.
6+ years of experience with Java or similar JVM/OOP languages.
Strong experience with AWS services (e.g., DynamoDB, EKS, IAM, S3, Lambda).
Solid understanding of system architecture, design patterns, and building complex distributed systems.
Handson experience with relational (PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Redis, etc.).
Practical experience building and maintaining production cloud services.
You will have an advantage if you also have:
Familiarity with data streaming or big data technologies such as Kafka, Flink, or Spark.
Experience building microservices using Spring Boot, Docker/containers, and Kubernetes.
Exposure to DevOps practices and tools (CI/CD pipelines, Jenkins, Terraform, Helm).
Background in SaaS product development.
Comfort using AI-based tools to speed up development and testing (such as GitHub co-pilot, Claude,).

Requirements:
5+ years in test automation engineering.
Demonstrated experience leading Playwright automation initiatives within mid-to-large enterprise environments.
Experience designing full-stack automation (UI + API).
Experience building and scaling automation frameworks used by multiple teams.
Deep understanding of test architecture, CI/CD systems, and distributed testing strategies.
Demonstrated leadership in driving engineering standards and cross-team adoption.
Excellent documentation and communication skills.
What Would Make You Stand Out?
Proven experience leading Selenium-to-Playwright migration.
Experience with CI/CD technologies (Jenkins etc.).

Requirements:
BSc in Computer Science/Software Engineering or equivalent
Experience in one of the following:
3+ years in cloud development
3+ years in JAVA
Hands‑on experience building RESTful APIs in Java.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Excellent written and spoken English.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale.
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot.
Technical blog posts, talks, or presentations youve created.
Contributions to open-source projects.
Experience solving complex or large-scale engineering challenges.
(Big Advantage) Experience developing with AI-powered coding tools, such as:
GitHub Copilot
Claude code
Using AI tools to accelerate development, improve code quality, and optimize system design is a significant advantage.