לוח משרות דרושים ראש צוות פיתוח עבודה היברידית

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:
Team management experience
Bachelor's degree in Computer Science - MUST
3+ years of experience with containerized workloads running in clusters (AWS / Azure / GCP / On Premise)
5+ years of experience managing an infrastructure-as-code based cloud environment (AWS CDK / HELM / CloudFormation / Terraform)
Experience coding in microservices
Basic hands-on scripting skills in Bash
3+ years of hands-on experience in a modern programming language (preferably in Python or Typescript)
Experience writing CI CD pipelines for containerized environments (Docker/ECS/K8S/OpenShift/etc)
Knowledge of IP networking
Experience maintaining infrastructure that requires high availability and security
Strong written and verbal communication skills in English and Hebrew
Advantage:
Experience with observability platforms (e.g. EFK/ELK, CloudWatch, Datadog, SumoLogic)
Experience with service mesh technologies such as Istio.

Requirements:
An experienced team leader (3+ years managing people) with a hands-on approach.
A software developer with 8+ years of industry experience, focusing on large-scale, cloud-based technologies.
Proficiency in Java and Spring framework.
Experience with user-facing products and UI development (advantage).
Experience with ElasticSearch or OpenSearch (advantage).
Experience with relational databases (advantage).
Experience with queue systems like SQS or Kafka (advantage).
Holding a degree in computer science or a similar field (preferred).
A passion for motivating, mentoring, and developing team members.

Requirements:
5+ years of hands-on software development experience, with deep expertise in vanilla JavaScript and browser internals.
Strong understanding of web security concepts, browser APIs, and the nuances of cross-platform development.
A technical leader who enjoys being hands-on: reviewing code, setting architecture, mentoring developers, and contributing to complex solutions.
Excellent communication and collaboration skills, with the ability to work effectively across disciplines.
Passionate about performance, security, and crafting elegant technical solutions.
Nice to have:
Experience with typed backend languages (e.g., Go, Java).
Familiarity with content delivery networks (CDNs) and large-scale deployment strategies.
Background in cybersecurity, bot mitigation, or fraud prevention technologies.