דרושים » מחשבים ורשתות » 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:
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.

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:
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:
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:
Excellent communication skills, with a passion for mentoring, leading, and guiding others
Minimum 5 years of hands-on development experience in production environments and at scale
At least 3 years of hands-on experience developing in Python
Experience with Go is a strong advantage
Significant real-world experience building software for production systems
Proficiency in working with cloud infrastructure and services
Exposure and experience with CI/CD, DevOps, Kubernetes, Docker, and monitoring technologies
A creative mindset and collaborative approach
Ability to solve complex technical challenges in a fast-paced, dynamic environment
Strong testing abilities - considering both automated testing and monitoring to improve team efficiency and production reliability

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

Requirements:
What Youll Need:

BSc in Computer Science or a related degree from a recognized institution, or a strong track record in server-side development with advanced technical skills.

5+ years of experience in software engineering with a demonstrated ability to work on large-scale projects and solve complex technical problems.

Proficiency in one or more modern programming languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.

Strong expertise with distributed systems, cloud-native architecture (e.g., Kubernetes, microservices), and APIs.

Hands-on experience with high-throughput date stores and messaging systems (e.g., Snowflake, PostgresSQL, Elasticsearch, Kafka or Redis).

Experience with cloud platforms such as AWS, Azure, or GCP, with knowledge of best practices for deploying and maintaining cloud-based services.

Strong problem-solving skills, with experience debugging and resolving production issues in complex systems.

A proactive approach to task prioritization and a history of leading technical initiatives from conception to deployment with minimal supervision.

Prior experience working in the cybersecurity industry or working with security-centric data pipelines and protocols is advantage.

Bonus: Experience or familiarity with modern frontend frameworks and an understanding of how frontend applications consume and state-manage complex backend data.

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:
3+ years of experience in AI / LLM / agent development
Experience building AI agents and agent tools, including multi agent systems and agent memory
Hands-on experience building AI products that reached production
Strong Python experience
Experience with Docker and Git
Good understanding of LLMs, prompting, and agentic workflows
Ability to work in a dynamic startup environment