דרושים » הנדסה » Software Engineer

Requirements:
Solid coding background of at least 5+ years (preferably Fullstack or Backend)
Proven experience as a power user of Claude Code and/or Cursor/ GitHub Copilot /Kiro
Proven experience driving AI Dev tool adoption in engineering teams (assisting in rollouts, measuring impact, changing workflows).
Proficiency working over AWS infrastructure
Training experience - building and delivering technical workshops
Opinionated practitioner who can compare tools and best practices and explain trade-offs
Ability to write, speak and lecture fluently in English.
Entrepreneurial mindset: you can lead projects, create content, and help drive impact
Advantages
Experience with SDLC optimization and leading R&D AI Transformation in an org
Experience with Kiro and/or Github Copilot
Consulting Background
Track record of leading developer communities or internal champion programs.
Managed a team of developers.

Requirements:
To succeed in this role, youll need:
Bachelors / Master's degree or PhD in Computer Science or a related technical field, specialisation in Security or AI/ML or an exceptional, well-evidenced track record substituting for it
10+ years of software engineering experience, including a track record of owning the architecture of complex systems at enterprise scale
A track record of setting technical direction beyond your own team - architecture or standards other teams adopted, senior engineers you've levelled up, and comfort operating where the problem isn't yet defined
7+ years in security engineering - network and systems security, security protocols, design reviews, and threat modeling - with a focus on AI-specific work in recent years
Multiple demonstrated engagements threat modeling and/or securing LLM, GenAI, or agentic systems, with evidence of platform-level or cross-team impact
Personal ownership of prompt injection / jailbreak defense, guardrail architecture, or AI red-teaming programs - ideally having built the program/methodology, not just executed within one
Deep, applied experience securing model, RAG, or data pipelines, including having designed the access-control and data-governance model others build against
Fluency with the OWASP LLM Top 10 (or equivalent) to the point of extending, critiquing, or contributing to such frameworks - not just applying them
Deep hands-on experience with agentic AI frameworks (e.g., LangChain, LangGraph)
Clear communication, a collaborative default, and a bias toward learning fast in a field that changes constantly
Bonus
Strong command of auth protocols (OAuth 2.0, OIDC, PKCE, API Keys) and agentic protocols (MCP, A2A), including having designed identity/consent models for them
Built and open-sourced (or productized) security tooling/automation for AI systems now used beyond one team
Track record of CVEs, top-tier publications, or invited talks specifically in AI/ML or LLM security
Prior experience setting AI security strategy at a platform or company level, not just a single product
5+ years of programming experience in Java or Python.

Requirements:
Your Experience
3+ years experience working as a Program Manager in an R&D organization in a SaaS company.
Engineering degree
Workflow Automation & Integration: Hands-on experience configuring or building automated workflows using tools like Jira Automation, APIs, low-code/no-code integration platforms, or modern enterprise management ecosystems.
AI & LLM Fluency: Proven ability to leverage AI-first environments and tools (such as prompt engineering, agentic workflows, or LLM-assisted coding) to automate operational tracking, synthesize data, and streamline communication.
Data & Analytics Literacy: Solid proficiency in querying, manipulating, and analyzing complex datasets (e.g., intermediate SQL, Python, or BI tooling like Tableau/Looker) to build live data dashboards and extract actionable engineering insights.
Domain Context: Strong understanding of the modern SaaS product development lifecycle, CI/CD pipelines, and the operational realities of working within a cybersecurity or high-scale cloud environment.
Large-Scale Process Design: A proven track record of designing, negotiating, and successfully implementing core organizational processes impacting large engineering organizations (150+ people).
Influence Without Authority: Exceptional interpersonal, presentation, and leadership skills with a demonstrated ability to gain buy-in from skeptical or resistant engineering directors and executive stakeholders.
Pragmatic Problem Solving: A data-driven analytical mindset combined with a highly adaptable, creative approach to overcoming operational bottlenecks. You default to solving problems through system engineering rather than policy enforcement.

Requirements:
At least 5 years of experience in DevOps, Platform Engineering, Cloud Engineering, or Software Engineering roles
Strong hands-on experience with Azure cloud platform
Mandatory hands-on experience with Kubernetes (K8s) and the cloud-native ecosystem
Strong experience designing and implementing CI/CD pipelines and DevOps automation
Hands-on experience with Infrastructure as Code tools such as Terraform, OpenTofu, Pulumi, or CloudFormation
Strong programming skills in Python and/or Go, including API integrations and automation development
Experience with GitOps methodologies and tools such as Argo CD or Flux
Experience with observability and monitoring tools such as Prometheus, Grafana, ELK, or OpenSearch
Excellent communication skills with the ability to engage customers, conduct assessments, and present recommendations
Experience in consulting, professional services, Platform Engineering, or DevSecOps environments is an advantage

Requirements:
B.Sc. in Computer Science, Software Engineering, or equivalent or relevant military tech unit experience.
4-5 years of hands-on software development experience.
Strong C++ background (C++11 and above).
Experience in low-level, system-level development on Linux.
Familiarity with multithreading, concurrency, and memory management.
Background that spans both hardware and software domains (e.g., embedded, IoT, military tech units).
Strong communication skills and ability to work in a collaborative team.
Bonus points if you have:
Experience with video streaming, real-time video processing, or multimedia frameworks (e.g., FFmpeg, CUDA)
Familiarity with streaming protocols (UDP, TCP, RTMP, HLS) or transport-layer development
Experience with Go or Python
Background in IoT or embedded systems
Experience working in Agile environments
Hands-on experience using AI coding tools in your workflow.

Requirements:
Strong software engineering background with experience in AI/ML and LLMs; preferably agent-based systems.
At least 3 years of team leadership experience, including mentoring, guiding execution, and managing deliverables.
Track record of shipping complex projects and supporting production systems in a fast-paced environment.
Excellent organizational and communication skills; able to manage multiple parallel efforts and maintain visibility across projects.
Experience with cloud environments, modern development practices, and production monitoring tools.
BSc in Computer Science or similar.
Additional information
Experience developing or maintaining AI agents or LLM-based systems.
Ability to balance hands-on engineering with people leadership.
Demonstrated ability to manage multi-stream execution with clarity and structure.

Requirements:
Bachelors Degree in Science, Programming or Engineering-related field or Elite unit alumni
3+ years experience in Golang/Java/Python
Excellent design and analytical skills
High ability to use new technologies/Programming Languages and understand them in depth through rapid self-learning
Proactive by nature; internal drive for excellence and improvement
Creative, out-of-the-box thinking
Excellent interpersonal relations, team player
How will you stand out from the crowd:
Experience With Ruby on Rails
Experience with AWS development
Experienced with micro-services/event-oriented design and development
Experience with containers and orchestration tools, such as Docker and Kubernetes
Solid understanding of security and networking implementation and best practices
Diverse technology stack
Fluent in English, good writing skills.

Requirements:
B.Sc. in Computer Science, Software Engineering, or equivalent military/industry experience
5+ years of software development experience
Strong proficiency in Python or C++
Experience building distributed systems
Familiarity with Linux-based environments
Experience with networking, asynchronous systems, or real-time applications
Strong problem-solving and debugging skills
Ability to work independently in a fast-paced R&D environment

Requirements:
Your Experience:
5+ years of direct people management experience leading software engineering teams in cloud SaaS or microservices environments.
8+ years of prior hands-on software development experience using .NET / C# (or Java/Go/Python) with strong foundational knowledge of modern cloud architecture (AWS).
Bachelors or Masters Degree in Computer Science, Software Engineering, or equivalent experience / IDF elite technology unit alumni.
Proven track record of building, hiring, and retaining strong engineering talent.
Demonstrated capability in driving agile execution, managing timelines, and handling complex technical dependencies.
Deep commitment to engineering quality, system reliability, security-by-design, and continuous improvement.
Strong communication and stakeholder management skills with fluent written and spoken English.
Preferred Qualifications:
Experience leading teams focused on Identity & Access Management (IAM), Directory Services, SSO, or Zero Trust cybersecurity platforms.
Hands on familiarity with AWS cloud services, Infrastructure as Code (AWS CDK or Terraform), and containerization (Docker, Kubernetes).
Experience managing engineering teams operating under strict security, compliance, and multi-region SaaS requirements.

Requirements:
Education/Background: Bachelors or Masters Degree in Computer Science, Software Engineering, or related technical field / IDF elite technology unit alumni.
Professional Experience:15+ years of hands-on software development experience with extensive background in .NET / C# (or Java/Go/Python) within cloud-based microservices environments.
Technical Mastery:
Passionate about system design, high-quality code, peer code reviews, performance optimization, and challenging the status quo.
Deep understanding of cloud architecture patterns, RESTful APIs, asynchronous workflows, and event-oriented design.
Proactive by nature with an internal drive for engineering excellence, self-direction, and problem-solving.
Communication: Excellent written and verbal communication skills in English with the ability to articulate complex architectural decisions simply.
Qualifications
Extensive experience building enterprise-scale SaaS applications using AWS services and Infrastructure-as-Code (AWS CDK or Terraform).
Solid understanding of security protocols, networking best practices, and Identity & Access Management concepts (directory services, SSO, OAuth2/OIDC, SAML).
Hands-on experience with modern CI/CD automation tools (GitHub, Jenkins, Artifactory) and containerization ecosystems (Docker, Kubernetes, OpenShift).
Build end-to-end features using models from providers like OpenAI, Anthropic, or open-source ecosystems.