לוח משרות דרושים הייטק תוכנה בחיפה

Requirements:
Fresh Ph.D. in Electrical Engineering or Computer Science only Mandatory with specialization and research experience in Machine Learning, Deep Learning, LLM, NLP.
3-4 scientific publications
For Masters degree holders (non-Ph.D.), exceptions will be considered with 3-4 scientific publications and 5 years of experience specifically in LLM and /or Deep Learning.
Experienced in NLP (Natural Language Processing) -mandatory
Academic institution: Only universities such as Technion, Weizmann Institute, Tel Aviv University, or the Hebrew University.
Experienced in Machine Learning, Deep Learning, LLM, NLP.
Hands-on position: technical leadership - Mandatory
Two openings available! A golden opportunity for dual placements

Requirements:
B.Sc. degree in computer science, computer engineering, or a closely related field
Proficiency in one or more low-level programming languages: C / C++
3+ years of experience in object-oriented software development (OOD)
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree
Hands-on experience in parallel programming or distributed application development (MPI / OpenMP / SHMEM)
Experience with code optimizations (I/O, data structure, communication patterns, vectorization) and profiling
Experience in development and utilization of innovative algorithms and data-structures to optimize code performance
Experience in development and deployment of AI models and, with string proficiency in Python programming
Experience in developing and contributing to large codebases

Requirements:
BS/MS in Computer Science or equivalent hands-on experience
7+ years in software engineering; 3+ years in a tech lead or staff/principal engineering role
Expertise in both backend and frontend engineering, with strong skills in React, TypeScript, Node.js, and Python
Proven experience architecting scalable cloud-based systems and big-data applications using AWS services, including Lambda, API Gateway, CloudFront, S3, and DynamoDB
Ability to balance legacy system maintenance with forward-looking architectural design
Strong collaboration and communication skills, with the ability to influence across teams
Experience in Implementing software engineering best practices for the entire SDLC (including business analysis and implementation, design and architecture, planning and development, implementation, and support)
Preferred Qualifications:

Experience working with Martech platforms, CDPs, and customer engagement systems
Experience with personalization, experimentation, and campaign orchestration systems
Familiarity with LLM integrations (e.g., Claude, Bedrock, OpenAI) and building internal AI tools
Understanding of observability stacks (e.g., CloudWatch, Datadog), security (e.g., WAF), and compliance in marketing systems
Strong documentation practices and a bias toward action and clarity

Requirements:
BS/MS in Computer Science or related field, or equivalent hands-on experience
7+ years of backend development experience; 3+ years leading engineering teams
Expertise in Python (or equivalent: Node.js, Java) and asynchronous backend development
Strong experience with AWS services, including Lambda, API Gateway, S3, CloudFront, DynamoDB
Proven experience designing event-driven systems using Kafka, SQS, or SNS
Familiarity with big data tooling such as Databricks, Spark, and Delta Lake
Experience with RESTful APIs, microservices, and scalable service architecture
Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders
Preferred Qualifications:

Familiarity with CDPs (e.g., ActionIQ, Segment), marketing tools (Braze, Attentive), and analytics platforms (Adobe, GA4)
Experience in growth tech, experimentation platforms, or campaign targeting
Experience working in privacy-aware environments (GDPR/CCPA), including consent management and user data retention
Experience with observability tools like CloudWatch, New Relic, or Datadog
Passion for marketing automation, customer engagement systems, and scalable backend design

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:
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.

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.

Requirements:
Proven experience as a Solution Architect or in a similar role, with a strong focus on DataOps.
Deep understanding of data management principles, data modeling, and ETL processes.
Expertise in cloud technologies (AWS, Azure, GCP) and data platforms (Hadoop, Spark, Snowflake, Looker).
Strong knowledge of programming languages (Python, Java, Scala) and scripting languages (Bash, PowerShell).
Experience with DevOps tools and practices (CI/CD, containerization, orchestration).
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.

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:
At least 4 years of hands-on Linux administration experience.
At least 2 years of hands-on Windows administration experience.
Strong understanding of networking concepts.
Experience with the following:
Strong Knowledge of Bash Scripting
Apache\Nginx configuration
MySQL\Postgres deployment and advanced configuration.
Jenkins\Chef configuration.
MSSQL deployment and management.
Strong understanding of SQL concepts.
Public Cloud: AWS\GCP\Azure is a big pro.
Software development background is a pro.
Excellent verbal and written English skills.

Requirements:
8+ years of hands-on experience in python or c++ showcasing a deep understanding of the languages, its intricacies, and best practices.
Bachelors or Masters degree in Computer Science,
Experience as a Team Leader/ Technical Leader - must
Proven experience in leading and managing complex technical projects, demonstrating strong project management skills.
Exceptional problem-solving skills with a proven ability to troubleshoot complex issues, showcasing strong analytical and critical thinking abilities.
Outstanding communication skills, with the ability to explain complex concepts in a clear and concise manner to both technical and non-technical stakeholders.
Excellent leadership capabilities, with a track record of mentoring and guiding team members to foster professional growth and development.
Experience working with AI, GenAI
Experience with GPU, CUDA - optional.

Requirements:
Education: Bachelors or Masters degree in Computer Science, or a related field.
Experience: 2 years of proven experience in AI/ML and software development.
Skills:
Proficiency in Python programming.
Experience with AI projects based on Large Language Models (LLMs).
Familiarity with basic principles of large language models, including prompt engineering and APIs such as OpenAI.
Knowledge of RAG architecture.
Experience with AWS and GPU computing.
Advantageous Skills:
Hands-on experience with RAG-based projects.
Experience with vision language models.
Hands-on experience with classification, detection, and segmentation models.
Familiarity with vision model development, including data augmentation, transformations, and handling imbalanced data.
Experience with the vision model training process.
C++ programming
Strong analytical and problem-solving skills.
Ability to work independently and as part of a team.
Excellent communication skills.
Ability to stay current with emerging AI technologies and methodologies.