לוח משרות דרושים ראש צוות פיתוח משרה מלאה

Requirements:
At least 7 years of experience in the software industry (preferred python).
3+ years of experience as an R&D team leader.
Skilled in relational databases and SQL.
Experience and knowledge in cloud services, AWS preferred.
Experienced in microservice and event-driven design and development.
Experience with serverless development is an advantage.
Strong background in designing and developing scalable SaaS applications.
Excellent communication skills with the ability to collaborate across Product, UX/UI, and Technical Writing.
Skilled at identifying risks, monitoring progress, and proactively resolving technical challenges.
Experience working in an Agile development environment.
Excellent communication and presentation skills.
Elite alumni graduate or Computer Science degree or similar experience.

Requirements:
6+ years of industry experience in AI/ML or Data Science, with at least 1-year leading teams and managing direct reports.
Masters degree or PhD in a technical field (e.g., Computer Science, Machine Learning, Statistics, Engineering).
Solid proficiency in Python and machine learning libraries/frameworks such as scikit-learn, PyTorch, TensorFlow, or Hugging Face.
Strong familiarity with natural language processing (NLP), including LLMs and transformer-based architectures, and their applications to real-world use cases.
Strong technical communication skills and the ability to collaborate across cross-functional teams.
Strategic mindset with the ability to connect AI research to business value and product opportunities.
Additional Information
Familiarity with cybersecurity, identity security, or risk mitigation use cases.
Experience with cloud-based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI) and big data tools (e.g., Spark, Airflow).
Hands-on knowledge of MLOps tooling for CI/CD, monitoring, and versioning of ML assets.
Publications, patents, or open-source contributions in AI/ML.

Requirements:
What you need to succeed
​3 + years hands-on experience leading development of highly-scalable SaaS complex applications
5+ years of experience in Python/Go/Java/C#/C++ (Python is a definite advantage)
2+ years of experience with AWS cloud platform
Experience with Agile, CI/CD based development
Proactive, highly motivated individual with a high work ethic and goal-oriented approach
Capable and courageous enough to deep dive into complex areas in the system, analyse them, suggest solutions, and make necessary changes
Excellent communication and presentation skills
Bachelors Degree in Computer Science or Engineering related field / technology Elite unit alumni with relevant experience
Passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo.
Proactive by nature; internal drive for excellence and improvement
Good communication skills, fluent in English, good writing skills
Autodidact, like to learn new things and share with the team
How will you stand out from the crowd:
Experience in enterprise scale application development in cloud/SaaS environment (AWS serverless architecture is a definite advantage)
Experience with AWS and server-less solutions
Solid understanding of design patterns and best practices.

Requirements:
Bachelors degree in Computer Science, Software Engineering, or a related discipline.
At least 4 years of experience leading software teams in a product-oriented environment.
Passion for working with a diverse tech stack, including multiple development languages (e.g., Go, Ruby, Java).
5+ years of hands-on development experience in at least one of the following: Go, Ruby, Java, or Python.
Solid experience with agile methodologies and CI/CD practices.
Strong communication and interpersonal skills.
Proven ability to mentor and lead team members with varying levels of expertise.
Skilled at identifying risks, tracking progress, and resolving complex technical challenges.
Highly self-motivated with a strong sense of ownership and accountability.
Preferred Qualifications
Experience building solutions on AWS technologies (EKS, Aurora, IoT, EC2, IAM, Lambda, etc.).
Background in developing enterprise-grade applications within a cloud environment.

Requirements:
Bachelors degree in computer science, Software Engineering, or a related field.
3+ years of experience as a data engineering team leader in a product-based company.
5+ years of hands-on in SQL and Python / Pyspark (or Java / Scala), data modeling techniques and concepts - such as Facts, Dimension, Partitions, etc.
Experience in designing and implementing data ingestion, ETL processes and 3rd party tools, preferably with experience in Data Lakehouse and Data Warehouse architecture
Proven experience with CI/CD processes and agile development methodologies.
Strong interpersonal and communication skills.
Demonstrated ability to manage and develop a team with varying levels of experience.
Skilled in identifying risks, tracking progress, and resolving technical challenges proactively.
Self-motivated and goal-oriented with a high work ethic.
Ability to balance long-term architectural vision with fast-paced delivery, in early-stage development or startup environment.

Requirements:
Requirements:
5+ years of software development experience and 2+ years in a leadership role.
Experience managing agile teams and complex projects.
Strong technical background ( Full-Stack or Back-End).
Fluent Hebrew (mandatory) and excellent English.
Strong communication, planning, and mentoring skills.
Think you fit?
Send your English CV, and well reach out to qualified talents for suitable leadership positions with our global clients.

*לאחר הגשת המועמדות למשרה ישלח אליך מייל מאתרנו לצורך השלמת תהליכי הגיוס*

Requirements:
Qualifications
6+ years of backend engineering experience, including at least 2+ years in a technical leadership or management role.
Strong expertise in distributed systems, high-scale architectures, and backend frameworks (e.g., Java, .NET, Go, Node.js adjust to our companys tech stack).
Solid understanding of databases, API design, and system integrations.
Proven ability to lead engineering teams, mentor individuals, and foster collaboration.
Excellent communication and problem-solving skills.
Experience in fintech, mobility, or transactional systems is a strong advantage.

Requirements:
What Will Make You Stand Out?
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:
What Will Make You Stand Out?
BSc in Computer Science, Software Engineering, or equivalent experience.
5+ years of experience in graphics programming or rendering systems.
2+ years of experience in leading or mentoring technical teams.
Deep understanding of C++ and graphics fundamentals.
Proven experience with Emscripten - a must.
Strong experience working with WebAssembly, WebGL, or WebGPU.
Understanding of browser environments, limitations, and performance considerations.
Experience integrating or building creative tools (e.g., with or around Photoshop Web or similar).

Requirements:
What Will Make You Stand Out?
5+ years of experience in software engineering, with at least 2 years leading a team.
Proven experience with large-scale video/audio processing, streaming, or rendering systems.
Strong knowledge of distributed systems, performance optimization, and cloud infrastructure (AWS / GCP / Kubernetes).
Proficiency in one or more programming languages,.
Hands-on experience with media frameworks (e.g., FFmpeg, GStreamer, WebRTC) a big plus.
A strong sense of product ownership and an ability to balance innovation with delivery.

Requirements:
What Will Make You Stand Out?
M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
5+ years of experience in NLP, machine learning or deep learning.
2+ years of experience managing ML/AI or software engineering teams
Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
Familiarity with STT / ASR models and common audio / speech processing methods.
Strong software engineering skills in Python.
Leadership
Proven ability to lead high-impact teams in a fast-paced applied research environment.
Experience defining and executing ambitious technical roadmaps and contributing to strategic technical decisions.
Passion for mentorship, team-building, and fostering a culture of innovation.
Strong cross-functional collaboration skills and the ability to work closely with PMs, engineers, and other stakeholders.

Requirements:
Education and Experience Required:
Bachelor's or masters degree in computer science, engineering, information systems, or closely related quantitative discipline.
Typically, 10-15 years experience.
Knowledge and Skills:
Strong programming skills in Python, Java, Golang, or JavaScript.
Deep expertise in software systems design, development methodologies, and integration across diverse platforms and technologies.
Proficient in cloud-based security concepts like using identity and access management, firewalls, VPN, and in-plane switching systems.
History of innovation with multiple patents or deployed solutions in software design.
Excellent written and verbal communication skills.
Ability to effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels
#LI-hybrid
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity {+ 5 more}.

Requirements:
Education and Experience Required:
Bachelor's or masters degree in computer science, engineering, information systems, or closely related quantitative discipline.
Typically, 10-15 years experience.
Native in Hebrew and fluent in english
Knowledge and Skills:
Strong programming skills in Python, Java, Golang, or JavaScript.
Deep expertise in software systems design, development methodologies, and integration across diverse platforms and technologies.
Proficient in cloud-based security concepts like using identity and access management, firewalls, VPN, and in-plane switching systems.
History of innovation with multiple patents or deployed solutions in software design.
Excellent written and verbal communication skills.
Ability to effectively communicate product architectures, design proposals, and negotiate options at business unit and executive levels.
#LI-hybrid
Additional Skills:
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX).

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:
5+ years of experience in Java server-side development.
Proficient with the following technologies: Spring Boot, Spring Data JPA, Apache Kafka, PostgreSQL.
AWS cloud services.
Microservices.
2+ years leading software development teams (3-6 developers).
Experience with web development stack, preferably react and Node.js - Advance.
Strong knowledge of software design and a passion for creating high-standard code.
Experience in building complex, large-scale software solutions from scratch to live production.
Proven ability to lead, mentor, and drive people.
Strong analytical skills.
Self-starter, fast learner, can-do attitude with strong interpersonal skills.
Excellent English communication skills both spoken and written.
Financial affinity is an advantage.
B.Sc. degree in Computer Science, SW Engineering or equivalent (M.Sc. is an advantage)