דרושים » תוכנה » Storage And Backup Specialist

Requirements:
what we need to see:
b.sc., m.sc.. in Computer Science, electrical engineering or related discipline (or equivalent experience).
12+ years of experience as a senior Developer, preferably in the domains of Storage, networking, and/or operating-systems.
strong proficiency in C / C ++ programming.
experience with Storage protocols and standards
experience with Linux block subsystem and io stack
comprehension of large and complexed systems
proven professional experience in designing and developing distributed systems; advantage for experience in block Storage and/or networking systems.
ability to work autonomously, with a proactive mindset and perseverance to solve day to day challenges.
ability to quickly adapt to new technology and go deep into new areas
excellent communication skills and a collaborative mindset.
innovative approach, identifying opportunities to improve, accelerate, and reuse existing solutions.
knowledge of cloud computing concepts, including virtualization, scalability, and data management.
ways to stand out from the crowd:
Linux Kernel coding experience
Linux Kernel internals knowledge including memory management, scheduling, etc.

Requirements:
Proven experience in server-side Python programming, featuring: multi-threading, multi- processing, communication protocols, databases.
Background development of management systems or other kind of enterprise or cloud based high-scale systems
Proficient in Linux environment
Experience in development of network, storage, server or virtualization management systems - an advantage
Full-stack capabilities featuring Web UI technologies - an advantage
Fast learner, team player, dedicated, accurate design and coding capabilities.

Requirements:
At least 5 years of experience with Python in backend or data engineering roles, designing and operating large-scale data pipelines, backend services, and data infrastructure in production environments.
Hands-on experience working on ML/AI-powered products in production, with strong understanding of requirements for integrating data platforms with AI features.
Familiarity with modern LLM (Large Language Model) and RAG (Retrieval-Augmented Generation) technologies, and experience supporting their deployment or integration.
Familiar with or have worked with these technologies (or alternatives):
Data Processing & Streaming: Apache Spark, DBT, Airflow, Airbyte, Kafka
API Development: FastAPI, micro-service architecture, SFTP
Data Storage: Data Lakehouse architectures, Apache Iceberg, Vector Databases, RDS
ML/AI: ML/LLM libraries and frameworks (such as Gemini, Hugging Face, etc.)
Cloud Infrastructure: AWS stack (S3, Firehose, Lambda, Athena, etc.), Kubernetes (K8s)
Demonstrated ability to optimize performance and ensure high availability, scalability, and reliability of backend/data systems.
Strong foundation in best practices for data quality, governance, security, and observability.
Ability to collaborate effectively with engineering, data science, and product teams in a cross-functional setting.
Track record of innovative thinking on feature-level implementations, metric definitions, and AI/data integrations.
Service-oriented approach, particularly in high-responsibility, on-call situations.

Requirements:
minimum qualifications:
bachelors degree or equivalent practical experience.
2 years of experience programming in C ++, JAVA, go or Python, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies.
preferred qualifications:
1 year of experience in applied Machine Learning (e.g., computer vision, generative ai, llm).
1 year of experience in data science with a focus on analytics, Machine Learning, and visualization.

Requirements:
6 years of high-level backend development experience, with a proven track record of working in dynamic, fast-paced environments.
Strong foundational knowledge in backend technologies and distributed systems.
Hands-on experience with a variety of tech stacks, with a preference for candidates experienced in our current stack: Python, Go, Docker, and Kubernetes.
Experience in end-to-end development of production-grade services, starting from system design through implementation to full delivery-including monitoring and taking responsibility for the feature after deployment.
Experience in building LLM-based applications is an advantage.

Requirements:
At least 7+ years of experience in DevOps - MUST
At least 2+ experience with Docker, Kubernetes, and Helm
At least 2+ years of experience in Coding languages - Python/JavaScript/Bash, or similar
At least 3+ years of experience with cloud providers such as AWS / Google Cloud / Azure, or similar
At least 3+ years of experience with CI/CD tools such as GitLab/Jenkins/CircleCI/team city, or similar
At least 2+ years of experience with IAC and GitOps principles and tools such as Terraform / CDK / ArgoCD
Experience working with Linux.
Experience with configuration management such as Ansible/Chef/Puppet, or similar
Experience with Alerting & Monitoring systems such as DataDog / Splunk / New Relic / Prometheus/ grafana, or similar
Working with SAAS production environments.
High Analytical & Troubleshooting skills - ability to solve complex problems
Advantages
Knowledge of different database technologies (MySQL administration, MongoDB, Redis)
SCM - Git/bitbucket/gitlab
BSC in Computer Science or related technical certificate.

Requirements:
What You'll Need:

7+ years of experience in backend and systems programming (Go / Python / NodeJS / Java / C#).

3+ years of experience leading or mentoring engineering teams.

Experience with the design of distributed systems, microservices architectures, and event-based architectures for runtime systems at scale.

Ownership, responsibility and professionalism.

Great interpersonal and leadership skills.

Cloud in-depth knowledge (AWS / GCP / Azure).

Experience with Docker / Kubernetes or similar.

Ability to learn quickly and independently.

Experience with AI-powered developer tools.


Bonus Points:

Existing exposure to Go, AWS, Cassandra, Redis, Kafka, Elasticsearch...

Prior experience in the cybersecurity or intelligence field.

Contributions to the open-source community (GitHub, Stack Overflow, blogging).

Requirements:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance

Requirements:
At least 3 years experience in Python / TS working with AI/ML frameworks
At least 5 years of backend experience with at least one additional programming language (Java / C# / Node.js / C++)
At least 3 years experience working with database solutions (RDBMS, NoSQL, Vector)
Proven experience with writing efficient and useful LLM prompts
Proven experience building LLM-based solutions and integrating them into products
Strong system and architecture design skills, particularly in designing LLM based systems
Experience or at least substantial knowledge of GenAI technologies such as agentic flows, RAG, model fine-tuning / distilling, prompt engineering, context engineering
Hands-on experience with cloud platforms and their AI/LLM services
Experience working on a SaaS product - Advantage
Experience working with customers and direct customers feedback - Advantage
Experience using observability / profiling / remote debugging tools - Advantage
Passionate about AI and up to date with industry trends - Advantage

Requirements:
Technical Expertise:
Advanced proficiency in Python for backend development and AI systems
Deep understanding of large language models and generative AI techniques
Hands-on experience designing and implementing multi-agent architectures
Advanced prompt engineering and orchestration strategies
Strong background in microservices architecture, API development, and production system design
Hands-on experience with at least one major cloud platform (GCP, Azure, or AWS)
Professional Experience
3-4+ years of experience in AI/ML development with significant GenAI project exposure
Proven experience in end-to-end software development in Python
Proven experience deploying and maintaining AI systems in production
Client-facing experience in technical consulting or solution delivery roles
Advantages:
Hands-on experience developing directly against LLM provider SDKs and APIs (e.g., OpenAI, Anthropic, Google), including tool/function calling, streaming, and advanced orchestration patterns
Docker and Kubernetes experience
OCR systems and document intelligence experience
Data pipeline development and maintenance experience
Education & Background:
Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field (or equivalent demonstrated industry experience)
Soft Skills:
Strong problem-solving and analytical capabilities
Excellent technical communication skills
Ability to collaborate effectively across teams
Adaptability in fast-paced, evolving technical environments
Consulting mindset with strong client focus