דרושים » מחשבים ורשתות » DataOps Engineer

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on DevOps.
Deep understanding of DevOps principles, practices, and tools.
Expertise in cloud technologies (AWS, Azure, GCP) and containerization
platforms (Docker, Kubernetes).
Strong knowledge of configuration management tools (Ansible, Chef,
Puppet) and CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
Experience with scripting languages (Bash, Python) and infrastructure
as code tools (Terraform, CloudFormation).
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills
Bachelors degree in Computer Science, Engineering, or a related field.
Additional Info:
Send us your CV in English and become part of WideOps team!
Only short-listed candidates will be contacted.
Confidentiality of all applications is assured!

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on SecOps.
Deep understanding of security principles, practices, and tools.
Expertise in cloud security technologies (AWS, Azure, GCP) and
security information and event management (SIEM) tools.
Strong knowledge of vulnerability management, penetration testing, and
incident response processes.
Experience with security automation and orchestration tools.
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills.
Bachelors degree in Computer Science, Engineering, or a related field.
Additional Info:
Send us your CV in English and become part of WideOps team!
Only short-listed candidates will be contacted.
Confidentiality of all applications is assured!

Requirements:
Education and Experience:
Bachelors degree in Computer Science, Information Technology, or related field.
Proven experience as a Cloud Architect with a strong focus on GCP.
Experience with AWS cloud services is highly desirable.
Certifications:
GCP Professional Cloud Architect certification is a plus.
AWS Certified Solutions Architect or other relevant AWS certifications are a plus.
Skills and Abilities:
Strong understanding of cloud computing technologies and current computing trends.
Excellent knowledge of cloud security, networking, and cloud storage systems.
Proficient in scripting languages and automation tools.
Strong problem-solving skills and ability to work under pressure.
Communication and Interpersonal Skills:
Excellent communication, presentation, and client-facing skills.
Ability to effectively articulate technical challenges and solutions to both technical and non-technical audiences.
Additional Requirements:
Ability to travel as needed for client meetings and project requirements.
Fluent in English, both written and verbal.

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management
Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
Basic Qualifications:
- 5+ years of hands-on software development experience.
- High-level Python programming skills.
- Solid foundation in AI/GenAI concepts and applications.
- Mastery of software design patterns and engineering best practices.
- Bachelor's degree in Computer Science or equivalent technical field.
- Customer-focused mindset with strong communication skills.
- Self-driven learner with exceptional ownership mentality.
- Collaborative team player who thrives in fast-paced environments.

Preferred Qualifications:
- Production experience with AI/GenAI infrastructure (LLM pipelines, RAG systems, prompt engineering, AI agents, MCP).
- Hands-on expertise with GenAI development frameworks (Kiro, Cursor, Cline, etc.).
- Deep knowledge of AWS serverless and cloud infrastructure (Lambda, CDK, S3, SQS, etc.).
- AWS certifications (Practitioner, Developer, Solutions Architect) - valued but not required

Requirements:
MSc/PhD in Computer Engineering / Computer Science or equivalent
5+ years of experience in software development in Linux environments
Experience designing complex distributed systems
Deep system understanding and ability toenhance and optimize existing code
Proficiency in analyzing academic papers and studying AI/cloud technological trends
Strong technical leadership, excellent interpersonal skills, and ability to work in a global team
Fast learner, highly organized, detail-oriented, and able to manage multiple deadlines in a fast-paced environment
Skills
Expertise in AI/ML infrastructure, memory-tiering, caching, or high-performance computing
Proficiency in C++ and Python
Experience with cloud platforms (AWS, Google Cloud, Azure)
Knowledge of AI/ML frameworks (PyTorch, TensorFlow, vLLM) and performance optimization
Nice to Have
Experience in storage/memory domains (as applied to AI workloads)
Advanced Python programming with ML/AI library implementations
Experience with LLM (Large Language Model) and multimodal AI training pipelines
Background in benchmarking, performance tuning, and optimizing Storage or AI applications.

Requirements:
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute various performance scenarios with deep system knowledge and understanding.
Desired Skills & Experience
At least 2 years experience in development of product testing, manufacturing, automation tools. Python is a big advantage.
Knowledge of performance benchmark IO tools including MetaData, Data and various protocols such as NFS, S3, SMB- Advantage
Knowledge of File Systems (NAS) / Block-level Storage/storage networking protocols.
Experience with Linux & shell scripting: Python, bash. - an advantage
Experience in analyzing large and diverse systems, understanding of regression processes and procedures.
Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers.
Deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must
Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress.
B.Sc./B.A. degree in computer science, engineering or related discipline an advantage
Advantage
Experience with virtualization, cloud, networking, or storage technologies
Experience with tools like Jenkins and Git
Good networking knowledge and experience with storage technologies.

Requirements:
Key Responsibilities
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute various performance scenarios with deep system knowledge and understanding.
Desired Skills & Experience
At least 2 years experience in development of product testing, manufacturing, automation tools. Python is a big advantage.
Knowledge of performance benchmark IO tools including MetaData, Data and various protocols such as NFS, S3, SMB- Advantage
Knowledge of File Systems (NAS) / Block-level Storage/storage networking protocols.
Experience with Linux & shell scripting: Python, bash. - an advantage
Experience in analyzing large and diverse systems, understanding of regression processes and procedures.
Background in developing test automation infrastructure and/or automating tests on a combination of Linux and Windows servers.
Deep understanding of Computer systems / Operating systems (Unix, Linux, Windows) - must
Demonstrated testing experience (Test Definition & Execution) in the following fields: Integration, Performance, Stress.
B.Sc./B.A. degree in computer science, engineering or related discipline an advantage
Advantage
Experience with virtualization, cloud, networking, or storage technologies
Experience with tools like Jenkins and Git
Good networking knowledge and experience with storage technologies.

Requirements:
B.Sc. degree in computer science, computer engineering, or a closely related field
5+ years of experience in AI kernel and performance optimizations
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and testing
Strong technical skills and experience with developing code in a Linux environment
Excellent teamwork and interpersonal skills
Ability to work independently, define project goals and scope, and lead your own development effort
Innovative thinking
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree
Proven track record of conducting and publishing independent research
Experience in optimizing distributed deep learning pipelines with TensorFlow / PyTorch
Experience in analyzing workloads on large scale heterogeneous clusters
Hands-on experience in developing code to target heterogeneous architectures (e.g. CPU/GPU/TPU)
Experience in developing and contributing to large open-source libraries.

Requirements:
Requirements:
3+ years of Python development experience (Object Oriented programming - not scripts).
2+ years experience working on Linux platform, be comfortable with Linux.
Strong technical abilities, problem-solving, design, coding and debugging skills.
Highly motivated and independent
Strong problem solver and out-of-the-box thinker
Ability to lead feature development, take full ownership of tasks from A-Z and deliver independently with minimum supervision.
Strong communication abilities
Strong multi-tasking abilities
Advantage:
Network, Storage, Virtualization, Docker, Git, HTTP, REST.