דרושים » תוכנה » ראש.ת צוות פיתוח תוכנה IBIS

Requirements:
Relevant academic degree (CS/ CE / EE)
At least 3 years experience in C/C++ Must
At least 3 years as team leader Must
Experience in design and development of enterprise-level and multi-threaded system
Knowledge and experience in Linux - Must
Experience working with Linux environments - Advantage
Experience in design, coding, integration, and debugging capabilities
Self-starter, enthusiastic proactive mindset
Ability to write code and conduct thorough code reviews.

Requirements:
B.Sc/M.Sc or higher degree in Software/Computer Engineering
10+ years of experience in SW development
Demonstrated proficiency in C/C++ programming.
Knowledge of various application domains, including HW and SW.
5+ years of experience in code-based automation, code coverage, performance, and memory profilers.
Preferred Qualifications:
Prior work with automotive System-on-Chip (SoC) technologies.
Experience with Linux.
Experience with Cloud - (preferred AWS).
Experience with Docker
Experience with Python.

Requirements:
10+ years of software development experience, including 3+ years in a technical leadership or team lead role.
Strong coding background in C++, with experience in Command & Control systems.
Familiarity with modern frontend stacks (e.g., React, CesiumJS, WebSocket integration).
Experience with Windows, real-time Linux, containerized deployments (Docker/Kubernetes), and CI/CD practices.
Understanding of air defense, aerospace, or military systems including sensor integration, data fusion, or tactical displays.
Excellent interpersonal and leadership skills; able to coordinate across disciplines and manage conflict constructively.

Requirements:
Required Experience & Skills 10+ years of software development experience, including 3+ years in a technical leadership or team lead role
* Strong coding background in C++ , with experience in Command & Control systems.
* Familiarity with modern frontend stacks (e.g., React, CesiumJS, WebSocket integration).
* Experience with Windows real-time Linux , containerized deployments (Docker/Kubernetes), and CI/CD practices.
* Understanding of air defense, aerospace, or military systems – including sensor integration, data fusion, or tactical displays.
* Excellent interpersonal and leadership skills; able to coordinate across disciplines and manage conflict constructively.

Requirements:
5+ years hands-on proven experience designing, building, and optimizing scalable and highly available data-intensive systems
In-depth understanding of big data engines and frameworks, such as Spark, and experience with ETL/ELT tools for robust data pipeline development
Proven ability to lead initiatives and drive technical agendas in a hands-on capacity, with potential for team building in the future
Knowledge of machine learning frameworks and strategic industry trends a plus
Strong business skills and strategic thinking, an innovative and growth mindset
Strong interpersonal skills to collaborate with internal teams and external partners effectively.

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.