Requirements:
Must Have
* At least 3 years of experience as a DevOps Engineer.
* Proven experience in building CI/CD pipelines (preferably using Jenkins or Azure DevOp).
* Experience working with version control systems such as Git.
* Strong scripting skills ( Python, Bash, Groovy, Batch, or PowerShell).
* Hands-on experience with Linux and Windows operating systems.
* Experience with Intel and ARM architectures.
* Experience in software development for Embedded systems.
* Experience working with containers and Docker.
* A background in software development. Advantages
* Experience working in air-gapped environments.
* Hands-on experience with Yocto.
* Strong knowledge of DevSecOps (secure development practices).
* Familiarity with GitOps methodologies.
* Knowledge of networking protocols.
* Understanding of Embedded systems and cybersecurity domains.
* A B.Sc. in Computer Science, Software Engineering, or Computer Engineering.

Requirements:
Technological Mastery:
Advanced full-stack development skills with a focus on innovative solution design
Ability to create highly adaptable, scalable web applications
Expert-level proficiency in React, Node.js and Python
Deep understanding of how to build interfaces for complex AI-driven systems
System Design and Innovation:
Expertise in creating flexible architectural solutions
Ability to design systems that can quickly incorporate emerging AI technologies
Proficiency in developing robust, performant web applications
Skills in creating intuitive user experiences for complex technological solutions
Research and Prototype Development:
Proven ability to rapidly prototype and iterate on technological concepts
Creative approach to solving complex technological challenges
Capacity to transform research concepts into functional applications
Strong experimental mindset with rigorous technical capabilities
Required Qualifications:
Advanced degree in Computer Science, Software Engineering, or related field
6+ years of progressive full-stack development experience
At least 1 year of hands-on experience in developing and deploying agentic GenAI systems in Production
Expirience in Full-stack web application development (React & Node.js backend )
Cloud platform technologies (GCP advantage)
Architectural design for complex, scalable systems
Technical Skill Requirements:
Advanced React development
Advanced Node.js backend skills
Advanced Python backend skills
Comprehensive understanding of:
Microservices architecture / RestFul APIs
Cloud deployment strategies
API design and implementation
Performance optimization techniques
GenAI RAG solutions
Agentic frameworks (advantage)
Experience with containerization and cloud technologies.

Requirements:
qualifications
loves technology and excited about learning new stuff
5+ years of experience in Python /go/node/ruby/ JAVA ( Python is a definite advantage)
desire to use new technologies and understand them in depth
passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
deep knowledge and expertise in at least one modern framework ( React / angular / vue)
good knowledge in typescript, rxjs.
deep knowledge and experience in state management libraries such as redux or mobx.
at least 7 years of sw development experience
bachelors degree in Computer Science or engineering related field / technology elite unit alumni with relevant experience how will you stand out from the crowd:
information security experience
experience in microfrontend architecture
experience in infrastructures development
experience in cloud environment (aws, azure, etc.)
experience with Python

Requirements:
We are looking specifically for engineers with hands-on experience in:
* Multi-sensor tracking systems (radar / EO / telemetry / external feeds)
* State estimation (KF / EKF / UKF / IMM / Particle Filters)
* Data association frameworks (MHT / JPDA / probabilistic matching)
* Track lifecycle logic (initiation, maintenance, termination, merging, splitting)
* Clutter handling, mis-detections, false alarms
* Uncertainty propagation and confidence modeling
* Real-time performance constraints and deterministic latency

* MSc/PhD in EE / Aerospace / Applied Math / Physics / CS
* Proven experience in defense, aerospace, ISR, air/missile defense, or similar domains
* Strong background in probabilistic estimation and stochastic systems
* Production-level implementation experience (Python and/or C++)
* Ability to reason about algorithm stability under adversarial or degraded conditions Active security clearance or eligibility - strong advantage. If you have built real tracking systems - not simulations only - we would like to connect.

Requirements:
experience: 5+ years of hands-on experience working as a software, DevOps, or infrastructure Developer.
development skills: significant development experience with go (golang), Python, groovy, bash, or powershell.
cloud expertise: deep knowledge and hands-on experience specifically with aws infrastructure.
containers: experience with containers and orchestrators, including docker, kubernetes, and ecs.
automation & iac: experience in the creation of highly automated infrastructures-as- code (e.g., terraform).
release management: experienced with building the full application release cycle (ci/cd).
mindset: a proactive nature with an internal drive for excellence, strong analytical skills, and out-of-the-box thinking. how you will stand out:
education: ba in Computer Science or mamram graduate.
testing: experience in testing methodologies and developing tests (e.g., unit tests, integration tests).
networking: strong foundations in tcp/ip, dns, network protocols, and routing
security: knowledge of security principles such as risk management and threat modeling.
certifications: aws certified solutions architect.

Requirements:
4+ years of experience in software development
experience with cloud infrastructure (aws preferred)
proven experience as a Python Developer
meaningful experience developing ai products with llms, including solution architecture, development and prompt engineering (e.g. chatbots, agents)
attention to detail, ability to multitask, and strong interpersonal skills
bachelors degree in Computer Science or an engineering-related field how will you stand out from the crowd:
experience with the agentic ai architecture, mcp, a2a
experience in enterprise-scale application development in a saas environment

Requirements:
8+ years industry experience
2+ years industry experience bringing AI models from modeling to production
Expertise and experience in data mining algorithms and statistical modeling techniques such as classification, regression, clustering, anomaly detection, and text mining
Strong understanding of the Software design and architecture process
Experienced with working in cloud production-grade high-scale microservices environment
Languages such as Python & Java
Building and maintaining AI based applications at scale in production
Experience with agentic systems or multi-agent orchestration in AI workflows and AI observability practices.
Exposure to Knowledge Graphs, RAG (Retrieval-Augmented Generation), or semantic search.
Understanding of AI infrastructure components, including the prompt lifecycle, fallback logic, and feature-level configuration.
Excellent oral and written English communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences
BS, MS in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research), or equivalent work experience
Advantage:
Data science model training:
Well versed in Data Science languages, tools and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SKLearn, NumPy, Pandas, TensorFlow, Keras)
Familiarity with vector database
Machine Learning experience.