לוח משרות דרושים ניהול ביניים

Requirements:
5+ years software development, with emphasis on mobile.
Swift/Objective-C Mastery - Deep technical knowledge of iOS/macOS development, allowing you to effectively review code and architect solutions.
Audio/Video Processing Experience - Familiarity with AVFoundation, CoreAudio, or similar frameworks crucial for our recording technology.
Cross-Platform App Architecture - Experience building apps that synchronize seamlessly across iOS, iPadOS, and macOS.
Performance Optimization - Experience optimizing mobile applications for battery life, memory usage, and CPU performance.

Requirements:
BSc/MSc in engineering or equivalent experience
5+ years of networking-related exprinace related software/hardware
Deep Linux expertise, User space, kernel, and networking tools
Self-starter, with a 'can-do' attitude and ability to multitask and prioritize in a fast-paced environment.
Great balance of deep systems software with business knowledge.
Strong analytical, product marketing and project management skills Excellent communication and presentation abilities.
Excellent communication, presentation, and interpersonal skills; proven teamwork across global teams.
Ways to stand out from the crowd:
Experience in Product Management in large global organization
Chip design knowledge or simulation experience
Proficient in up-to-date Data Center networking, particularly telemetry and automation
Successful track record managing technical products throughout their lifecycle.
Passion for technology and enthusiasm for building the future of data center networking.

Requirements:
Bachelor's degree in Computer Science or a related field (or equivalent professional experience)
6+ years software development, with emphasis on backend
Experience with MongoDB
Experience with workflow systems such as Cadence or Temporal is a significant advantage
Familiarity with video processing and streaming technologies, ffmpeg or gstreamer, advantage
Strong understanding of RESTful APIs, microservices architecture, and AWS
Proficiency in Git, CI/CD, and automated testing
Strong problem-solving skills and the ability to analyze and optimize complex systems
Excellent communication and teamwork skills in English, with the ability to work collaboratively in a fast-paced environment
Strong knowledge of software development best practices, design patterns, and code quality.

Requirements:
At least 2 years of experience as an Analyst in a tech company.
Strong communication and presentation skills.
Familiarity with A/B testing methods and the ability to make data-driven decisions.
Proficiency in SQL is a must. Knowledge of Python for data analysis is a bonus.
Creative thinking for product improvement.
Understanding of business and product processes to create effective data models.
Detail-oriented with a proven track record in quantitative fields.
Capable of collaborating with diverse teams in a fast-paced environment.

Requirements:
Expertise in Node.js, TypeScript, MongoDB, and Kafka, with a deep understanding of fullstack development
Strong knowledge of React.js and modern frontend best practices
Experience working with AWS services, designing scalable cloud-based solutions
Experience with real-time data streaming, event-driven architectures, and messaging queues
A problem-solving mindset, able to break down complex challenges into actionable solutions
Ability to design and implement scalable, modular architectures for long-term maintainability
Familiarity with CI/CD pipelines, and cloud infrastructure.

Requirements:
5+ years of professional experience as a user-experience designer
Strong UI skills and solid UX thinking
A clean aesthetic and a sharp eye for layout, color, typography, and composition.
Visual mind, eager to learn and with the ability to turn complex product design problems into intuitive solutions
Experience working with cross-functional teams such as: product, engineering, research, and marketing
Design Tools: Figma, After Effects (Advandage).

Requirements:
4+ years experience as a Product Manager/Lead at a high-tech or SaaS software company
Proven ability to partner with cross-functional disciplines, and to influence effectively
Proven ability in data analysis, execution, and responsibility for complex development processes
Goal-oriented, highly motivated, takes full ownership of projects
Strong organizational and analytical skills & attention to details.

Requirements:
Proven experience with Playwright for end-to-end and UI test automation.
Solid understanding of web technologies, modern browsers, and web application architecture.
Experience integrating automated tests into CI/CD pipelines (e.g., GitHub).
Familiarity with version control systems (e.g., Git).
Ability to write clean, maintainable, and scalable automation code.
Strong problem-solving skills and attention to detail.
Nice-to-Have Skills:
Experience with testing APIs (REST/GraphQL) in addition to UI automation.
Familiarity with test reporting tools and dashboards.

Requirements:
6 Expertise in Node.js, TypeScript, MongoDB, and Kafka, with a deep understanding of fullstack development
Strong knowledge of React.js and modern frontend best practices
Experience working with AWS services, designing scalable cloud-based solutions
Experience with real-time data streaming, event-driven architectures, and messaging queues
A problem-solving mindset, able to break down complex challenges into actionable solutions
Ability to design and implement scalable, modular architectures for long-term maintainability
Familiarity with CI/CD pipelines, and cloud infrastructure.

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.