לוח משרות דרושים ניהול ביניים

Requirements:
Bachelor's/Masters degree in computer science or computer engineering or equivalent experience
5+ years of experience in developing DevOps tools and CI/CD process
Experience with Software build process using CMake, Autotools, GC
Good experience with Software packaging environments (RPM, DEB)
In depth experience with Docker, Ansible, Jenkins pipelines
Strong Python, GO and Bash skills
Linux and ESXi development experience
Excellent problem-solving and critical thinking abilities
Ways to stand out from the crowd:
Experience with bootloaders
Contribution to open source projects
Strong interest towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.

Requirements:
B.Sc. in Computer Science, Engineering, or a related field with 5+ years of experience.
Deep knowledge of HPC and AI solution technologies, including CPUs, GPUs, high-speed interconnects, and supporting software.
Advanced proficiency in programming and scripting languages, with a solid understanding of object-oriented programming principles.
Familiarity with Jenkins, Ansible, Puppet/Chef.
Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu), networking and OS-level security.
Deep understanding of networking protocols such as InfiniBand and Ethernet.
Experience with job scheduling workloads and orchestration tools such as Slurm and Kubernetes.
Experience with multiple storage solutions like Lustre, GPFS, ZFS, and XFS.
Expertise with virtual systems (VMware, Hyper-V, KVM, Citrix).
Familiarity with cloud platforms (AWS, Azure, Google Cloud).
Ways to stand out from the crowd:
Architectural Insight: Knowledge of CPU and/or GPU architecture.
Container Expertise: Understanding of Kubernetes and container-related microservice technologies.
GPU Focus: Experience with GPU-focused hardware/software (DGX, CUDA).
RDMA Fabrics: Background with RDMA (InfiniBand or RoCE) fabrics.

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:
At least 2 years of experience as a Full Stack/backend Team Leader.
At least 3-5 years of experience as a Software Engineer (before becoming a TL).
Strong asp.net core developing capabilities a MUST.
Experience with a modern front-end framework is a plus (React/ Vue.js/ Angular).
Excellent teamwork and people skills.
B.Sc. in computer science or an equivalent knowledge level.
Bonus: Experience shipping modern SaaS products using Kubernetes -advantage.
Bonus: understanding of cyber-security.
Bonus: with MongoDB, Docker, Kubernetes, Azure Cloud Platform.
We work remote saving your time from traffic.

Requirements:
Experience: 10+ years in product management, with at least 5 years in leadership roles focusing on platform engineering, developer productivity, cloud infrastructure, or SaaS operations
Strategic Vision: Proven ability to define, implement, and execute multi-year strategic initiatives across complex organizations
Technical Expertise: Strong understanding of cloud infrastructure, developer workflows, and enterprise-scale SaaS platforms
Collaboration Skills: Exceptional interpersonal and communication skills with experience influencing VP- and C-level stakeholders
Enterprise Focus: Demonstrated experience in defining, delivering, and commercializing infrastructure product capabilities for enterprise customers
Metrics-Driven: Strong analytical abilities with a track record of measuring and improving platform performance and impact
DevSecOps/DevOps Experience: advantage.

Requirements:
3+ years of management experience leading a team of SRE, DevOps, or a similar SaaS role
Bachelors degree in Computer Science, Engineering, or related field (or equivalent experience)
Strong expertise in cloud platforms (AWS, GCP, or Azure), containers (Kubernetes, Docker), and configuration management (Terraform, Ansible)
Proficiency in Python or Go for automation and system optimization, as well as GitOps experience with SCM tools (e.g., Git, Bitbucket)
Strong leadership, communication, and collaboration skills, working across globally distributed teams
Familiarity with Agile methodologies, CI/CD pipelines, and orchestration tools (Jenkins, ArgoCD, StackStorm)
Familiarity with Chaos Engineering (e.g., Gremlin, Litmus, Chaos Toolkit)
Hands-on with alerting & observability tools (e.g., PagerDuty, OpsGenie, New Relic, Coralogix)
Strong understanding of scalability, high availability, and security best practices in cloud & Kubernetes environments.

Requirements:
5+ years of relevant DevOps or SRE experience in large-scale production environments
2+ years of infrastructure automation, configuration management, or container orchestration using Kubernetes, Docker, Terraform, and Ansible
2+ years in Python or any other advanced programming language
Strong ability to lead, design, and execute cross-organization projects
Experience in managing container and infrastructure orchestration tools (e.g. Kubernetes, Terraform)
Hands-on experience administering public clouds (AWS, GCP, or Azure)
Experience with building CI/CD pipelines for applications and microservices (Jenkins/ArgoCD)
Experience with chaos, alerting & observability tools (Gremlin, PagerDuty, Opsgenie, New Relic, Coralogix).

Requirements:
10+ years of proven success in E2E Product Management, preferably in B2B products, Security and SaaS platforms
Experience working with customers and users, buyers and decision makers
Experience with user-facing products; solid understanding of UX and product design
Experience leading successful product launches and major feature introductions
Experience in writing PRDs/user stories for engineering and QA teams, including feature prioritization and justification
Strong project management skills managing complex processes across multiple teams
Excellent communication skills and English required to communicate daily with global teams and C-suite managers
Excellent at compiling a clear and innovative product vision and leading execution from ideation to production.
Proven ability to influence cross-functional teams without formal authority
Engineering or Application Security background an advantage.

Requirements:
7+ years of experience leading and owning the product QA domain
4+ years of experience managing performance and scale testing of environments and best practices
Hands-on experience building test plans and automation scripts, and related frameworks
Hands-on experience working with Linux, including scripting skills and CI tools in a cloud environment, including with Kubernetes and Docker
Experience leading the quality of both SaaS and self-hosted enterprise products used by thousands of customers, at a very high scale
Experience in managing functional and non-functional testing; performance, stability and upgradability testing
Tools experience: Playwright, Cypress, Applitools, Gatling, Jmeter, Artillery - An advantage
DevOps experience - An advantage
Production Saas Environment in scale / Kubernetes experience - An advantage.

Requirements:
5+ years of relevant DevOps experience in large-scale production environments
2+ years of infrastructure automation, configuration management, or container orchestration
2+ years in Python or any other advanced programming language
Strong ability to lead, design, and execute cross-organization projects
Experience in managing container and infrastructure orchestration tools (e.g. Kubernetes, Terraform)
Hands-on experience administering public clouds (AWS, GCP, or Azure)
Experience with building CI/CD pipelines for applications and microservices.

Requirements:
7+ years of relevant CI experience, with particular emphasis on CI in large-scale production environments
Hands-on experience with Python
Hands-on experience with Linux
Strong understanding of build systems and tools across multiple programming languages (Maven, Gradle, npm, etc.)
Experience with running CI workloads on top of k8s
Proven experience with building end-to-end CI/CD pipelines using GitHub actions
A strong ability to design and execute DevX projects
Excellent communication skills and a collaborative mindset.

Requirements:
Requirements:
Masters degree in Statistics, Mathematics or Computer Science.
Minimum of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact.
Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code.
Strong communication and storytelling skills with both technical and non-technical audiences. Ability to present complex technical subjects to non-technical stakeholders.
Ability to read AI research publications and implement the algorithms & architectures from scratch.

Advantages:
Advanced knowledge in generative models: Auto-encoding, adversarial models, compression.
Worked on deep learning graph model solutions with 10s of TB of data.
Publication in peer-reviewed conferences or journals on reinforcement learning, deep learning, and machine learning.
Strong passion for machine learning and investing independent time towards learning, researching, and experimenting with new innovations in the field.
Experience working with technologies like SageMaker, Athena/Trino, Spark, Milvus, and OpenSearch.

Requirements:
B.Sc. in Electrical Engineering or Computer Science or equivalent.
Proficient with OOP, multicore / multithreading and efficient software development skills.
5+ years of experience in C/C++ software development for Linux based systems.
Familiar with scripting languages. (bash, Python, Go, etc.)
Familiar with Linux distributions, Kernel builds and deployment tools.
Familiar with Linux based real time applications
Familiar with VMWare/ESXi, Kubernetes and other virtualization environments
Fast learner, goal oriented.
Team player, effective interpersonal communication skills.

Requirements:
A minimum of 5 years of experience as a backend developer.
Extensive experience (5+ years) in C, C++, or Rust development, with knowledge of cross-platform compilation (Preferred).
Experience with Python (Including Flask, Async)
Familiarity with Docker, Kubernetes, and cloud platforms (preferably AWS).
Solid understanding of CI/CD pipelines and best practices in continuous integration and deployment.
Hands-on experience in building and maintaining distributed systems at scale.
Strong team player with excellent communication skills and a collaborative approach.
Proficiency in English (written and spoken).
Advantages:
Experience in the cybersecurity domain.
Experience in developing within a cross-platform environment.

Requirements:
6+ years of full-stack development experience, with a strong emphasis on Python backend and SQL.
4+ years of expertise in Python, particularly in developing scalable and high-performance systems.
Extensive experience in writing, optimizing, and maintaining complex SQL queries and working with large-scale databases (preferably Snowflake).
Hands-on experience with modern JavaScript frameworks (ReactJS preferred).
Strong understanding of data engineering practices, database schema design, and data-driven analytics.
Familiarity with DevOps practices, CI/CD pipelines, and cloud infrastructure (AWS preferred).
Excellent communication skills and a collaborative approach to problem-solving.
Advantages:
Experience with Kubernetes and Helm.
Background in cybersecurity or data-intensive industries.
Proactive, results-driven mindset with the ability to quickly learn and implement new technologies.