לוח משרות דרושים הייטק תוכנה בנתניה

Requirements:
5+ years of experience with software architecture and design process, working on large-scale, complex and high-performance distributed systems
5+ years of hands-on programming experience in languages such as Java, Go, JavaScript (Node)
2+ years of hands-on technical leadership in a Principal Engineer or Technical Lead role
2+ years of hands-on experience in B2B systems and design of external APIs
Excellent problem solving skills and strong sense of ownership and track record of quality work
Ability to to work both independently and as an equal peer when working with Engineering.

Requirements:
5+ years of professional software development experience
Strong hands-on expertise with server-side languages such as Golang, Java, Node.js, or similar backend technologies
Practical experience building scalable, cloud-native microservices in a SaaS environment
Solid understanding of Docker, Kubernetes, messaging systems, caching, and other core cloud-native components
Familiarity with AI technologies, including MCP, AI agents, and LLMs - advantage
Hands-on experience using AI coding agents such as Cursor, GitHub Copilot, Claude, or similar tools - advantage
Familiarity with modern CI/CD practices, DevOps workflows - advantage.

Requirements:
4+ years of backend programming experience
Familiarity with database technologies
Solid architectural understanding of web applications and APIs
Experience with large-scale production environments
Experience with concurrency - a big advantage
Exposure to modern DevOps tools like Docker, Kubernetes, Helm, Shell Scripting, CI/CD - an advantage.

Requirements:
5+ years as a Team Leader, with proven experience and a strong record of leading development teams
10+ years of engineering experience in software development
Experience leading and mentoring highly skilled developers toward technical and professional excellence
Deep understanding of backend development of SaaS and microservices, using cloud-native practices
Familiarity with DevOps and Kubernetes domains, with the ability to define requirements and collaborate closely with DevOps engineers
Solid understanding of frontend development and the ability to guide frontend engineers
Hands-on experience in Go, Java, C++, or C#
Knowledge of TypeScript or JavaScript is an advantage
Proven experience designing and implementing scalable, reliable, high-performance production systems
Strong architectural skills, with the ability to make sound design and implementation decisions
Ability to manage delivery, set milestones, and resolve technical and organizational challenges
A self-driven and fast-learning mindset, able to quickly adapt to new technologies and evolving product needs
Experience working in both startup and enterprise environments is an advantage
Familiarity with AI-powered development tools and agentic technologies is an advantage.

Requirements:
At least 3 years of experience as a leader and at least 8 years as an engineer.
Experience in managing highly-skilled developers, and the ability to lead, coach, guide, and influence them.
Proven experience in Python/Go/Java.
Experience in developing scalable, concurrent, low-latency, fault-tolerant systems.
Experience in SaaS/Cloud/Microservices architecture.
Strong track record of leading and managing the delivery of software development projects, meeting key milestones, and overcoming challenges.
Previous experience in both architecture and implementation-level software design of high-scale distributed systems.
Ability to manage, track, and identify risks, bottlenecks, and challenges ahead of time, and oversee technical coordination to resolve them.
Willingness to work with a driven team in a fast-paced, context-switching environment.
Proven, hands-on AI engineering experience - required in one or more of the following:
Building full production features using AI-native coding tools such as Cursor or Claude Code
Adapting the SDLC to leverage MCPs and AI Skills to measurably improve team productivity
Integrating agentic AI capabilities into production systems and user-facing features

Requirements:
Bachelors degree in CS, Software Engineering, Cybersecurity, or a related field (or equivalent experience)
8 years of hands-on experience as a Software Engineer, DevOps Engineer, Security Engineer, Researcher, Architect, or similar technical role
Proven experience presenting technical topics to developers or technical audiences
Strong writing and storytelling ability around complex concepts
Deep understanding of the DevOps / DevSecOps ecosystem, software supply chain, CI/CD workflows, and modern developer tooling
Ability to communicate clearly with developers, leaders, customers, and community members
Familiarity with key developer and professional social platforms (e.g., LinkedIn, Reddit, Twitter/X, Slack, Discord) for community engagement and content amplification
Comfortable setting goals, executing independently, and measuring impact
Genuine enthusiasm for engaging communities, learning in public, and amplifying real developer value
A willingness to travel to conferences, customer events, and community gatherings.

Requirements:
A minimum of 10 years of experience in the software development world, with a strong, hands-on background in software engineering and architecture.
The ability to translate business goals into a multi-year technical roadmap and communicate its value to executive stakeholders.
Exceptional communication and influencing skills across all levels of the organization.
Demonstrated experience managing multiple groups of developers, with a focus on building high-performing, customer-centric engineering productivity functions.
Deep understanding of cloud-native development and modern CI/CD.
Background in AI assisted development - advantage!

Requirements:
6+ years of Java/GO programming experience
Familiarity with database technologies
Solid architectural understanding of web applications and APIs
Experience with large-scale production environments
Experience with concurrency - a big advantage
Exposure to modern DevOps tools like Docker, Kubernetes, Helm, Shell Scripting, CI/CD - an advantage
Proven, hands-on AI engineering experience - required in one or more of the following:
Building full production features using AI-native coding tools such as Cursor or Claude Code
Adapting the SDLC to leverage MCPs and AI Skills to measurably improve team productivity
Integrating agentic AI capabilities into production systems and user-facing features.

Requirements:
10+ years of experience as an engineer and 4+ years of experience in a leadership role
Bachelor's or Master's degree in Technology or Computer Science fields, or an exceptional industry equivalent
High level of creativity and curiosity
Strong technical leader - hands-on experience is a must:
Programming skills (GoLang, Python, Node or Rust)
AI development tools
AI native and Cloud native platforms
Kubernetes, containers and serverless runtime technologies
System orchestration technologies, including devices, networks, and security
Building scalable products on public clouds, including Azure, AWS, and Google Cloud
Microservices architecture and modeling
Event-oriented architecture
DevOps and Agile engineering practices
Experience designing and developing Proof of Concepts and prototypes
Leading position in a startup or a lab environment is a plus
True, inspiring passion for emerging technologies and the joy of understanding how things work
Passionate about fostering high-performing teams by cultivating a culture that prioritizes growing others
A real team player who is open to feedback and not afraid to lead by initiating and doing!

Requirements:
Strong stakeholder management skills, with the confidence and communication ability to influence senior leadership and cross-functional teams toward shared outcomes
Proven execution skills driving product, R&D, and business GTM teams to GA, maintaining end-to-end visibility, issuing meeting notes, and ensuring regular, clear communication with stakeholders
5+ years of experience with proven Program Management and Agile methodologies at scale - a must
Technical background, with a good understanding of the Software Development Life Cycle - a must
Experience in leading large-scale planning processes and shaping R&DProductNPI processes - a must
Knowledge of OKR and stream-aligned team methodologies
Experience in collecting, analyzing, and presenting data-driven insights to support informed decision-making at the leadership level
Proficient English communication skills, both written and verbal
Proficient with Jira - making the most of the Atlassian ecosystem, including experience with advanced RoadmapsStructure.

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:
10+ years of experience in software engineering, with at least 5 years in leadership roles managing diverse R&D teams
Proficiency in Software Development: strong experience in building and managing scalable systems using languages such as Go, Python, Java, or Node.js
Proven track record of delivering scalable cloud / SaaS services, operating in multi-cloud (AWS, Azure, GCP) and hybrid-cloud environments
Experience leading AI product (assistants, copilots, LLM-integrated workflows)
Exceptional leadership, communication, stakeholder, and customer management skills
Passion for empowering developers and enabling productivity through platform engineering
DevOps / DevSecOps experience - strong advantage
Growth mindset, with continuous learning in AI and agentic technologies.

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:
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 our 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:
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.