דרושים » תוכנה » Intern Solution Developer

Requirements:
3+ years of experience as a Software Developer.
B.Sc. in Computer Science.
Solid computer science fundamentals, including object-oriented design, data structures, algorithms, problem-solving, and complexity analysis.
Hands-on experience in server-side development (e.g., Node.js, TypeScript, Python, or Java).
Frontend development experience in React.js (or similar frameworks such as Angular or Vue.js)
Familiarity with cloud services (AWS, GCP, or Azure) - Must.
Experience with REST APIs, microservices, Docker, and Kubernetes - advantage.
Fast learner, able to understand new code and technologies quickly.
Highly motivated with a deep desire to achieve outstanding results.
A team player with a Can Do attitude who goes the extra mile to succeed!

Requirements:
University degree (B.Sc) in Computer Science or related field
5+ years of Backend Software development experience
Hands-on experience in web development, specifically Python
Deep familiarity with and daily hands-on use of AI and emerging technologies
Strong SQL skills with databases such as PostgreSQL, MySQL, or similar
Knowledge of cloud platforms, preferably AWS, or similar services and tools
Experience designing and working with microservices architecture
Personal competencies required:
Excellent communication skills in both Hebrew and English
Team player with collaborative mindset
Capability to see the big picture, break down projects into milestones, and prioritize tasks
Fluent in Hebrew and English communication
Strong sense of ownership, urgency, and drive
Proactive mindset to generate ideas, propose solutions, and execute with a "getting things done" attitude
Independent working style under tight deadlines

Requirements:
Bachelor's or Masters degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Minimum of 5 years experience in software development with a strong focus on C++ and low-level programming.
Deep understanding of Linux, macOS, and Windows internals including kernel architecture, system calls, process and memory management.
Strong knowledge of networking protocols and experience writing performant and efficient code.
Experience with Golang is an advantage.
Background or interest in cybersecurity is a plus.
Familiarity with .NET development is beneficial.
Experience with CI/CD tools and pipelines (e.g., Jenkins, GitHub Actions) is preferable.
Proficient in scripting languages such as Python, Bash, or PowerShell.
Strong problem-solving skills and ability to work independently and in a team environment.
Excellent communication and collaboration skills.

Requirements:
At least 3-4 years of experience in software development, with a focus on full stack development.
Strong proficiency in front-end technologies (e.g., React, Angular, Vue.js) and back-end technologies (e.g., Node.js, Python, Java, Go).
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
Solid understanding of database technologies (e.g., SQL, NoSQL).
Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
Excellent communication and interpersonal skills.
Experience with data loss prevention or related fields - an advantage.
BSc or MSc degree in Computer Science, Engineering, or a related field.

Requirements:
BA/BSc in Computer Science or equivalent practical experience.
5+ years of experience in backend development, preferably in infrastructure- or platform-oriented teams.
Strong expertise in Java (Spring / Spring Boot or similar frameworks).
Experience building and maintaining distributed, cloud-native microservices.
Hands-on experience with relational databases (PostgreSQL, MySQL, SQL Server).
Proficiency with Docker, Kubernetes, and modern CI/CD pipelines.
Strong understanding of distributed architectures, service-to-service communication, and high-availability design.
Excellent collaboration and problem-solving skills, with the ability to thrive in cross-functional environments.

Requirements:
BA/BSc in Computer Science or a related field, or equivalent practical experience.

5+ years of professional experience in backend software development.

Proven expertise in Python (including experience with the Django framework) and Java for backend systems.

Experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).

Strong experience with cloud-native technologies, containers (Docker), orchestration (Kubernetes), and CI/CD pipelines.

Solid understanding of multi-tenant, distributed system architecture.

Strong collaboration, communication, and problem-solving skills.

Requirements:
6+ years of experience in hands-on technical roles such as Software Development, QA, Solution Engineering, etc. - Must
Technical hands-on experience in a Web environment - understanding of the ecosystem and ability to debug effectively - Must
Experience in the mobile ecosystem (Android and iOS) - Strong advantage
Bachelors degree in a technical field such as Computer Science, Engineering, or equivalent practical experience
Capability to read and understand code - In a level that allows collaboration with developers and leadership of technical products
Familiarity with at least one of the following programming languages (or a similar one): Java, JavaScript, Python.
Experience with SQL and large-scale data sets, with the ability to analyze and draw conclusions
Experience collaborating with cross functional teams - From Business to R&D
Experience in creating technical documentation and managing knowledge bases
Advanced proficiency in written and spoken English. Exceptional communication and presentation skills
Strong interpersonal skills, ability to influence others, and work effectively in a cross-functional team
Highly experienced and passionate about problem solving and troubleshooting
An independent, self-starter, with a can-do approach
AI knowledge / AI project skills - a big advantage
How youll make an impact:
Own your technical domain by putting any effort required to make it successful
Work closely with our companys Engineering and Product teams on enabling new features/products for scale
Be the voice of Professional Services - Playing a pivotal role in the product lifecycle and its roadmap
Lead the enablement of new products - From Beta, to Limited Availability (LA) through to General Availability (GA)
Serve as the primary technical point of contact during early product rollout and stabilization. Take end-to-end ownership of new products and features.
Enforcing best practices across product operations to ensure consistency, efficiency, and scalability
Deliver, create and maintain in-depth product documentation and training for Professional Services and business teams
Owning and handling highly complex technical escalations coming from Professional Services and consulting on complex implementations/issues coming from clients (may require dev-to-dev calls with clients Engineering teams)
Monitoring product health and performance to identify issues early and analyzing the quality of service (delivery/support) provided to our customers
Managing bugs and feature gaps proactively to improve product health and user trust
Improving Professional Services efficiency through AI developments that streamline decision-making, automate repetitive tasks, and enhance operational visibility.

Requirements:
8+ years of experience in backend or full-stack development for large-scale, cloud-based systems.
2+ years of hands-on experience with Python (FastAPI, Flask, or similar frameworks).
Proven experience working in AWS environments, building and operating production-grade systems.
Strong understanding of distributed systems, scalability, and multi-tenant architectures.
Proficiency with relational databases (PostgreSQL, MySQL, or Aurora) and data modeling.
Experience with asynchronous processing, message queues (SQS, Kafka, etc.), and event-driven design.
Familiarity with CI/CD pipelines, containers, and orchestration (Docker, Kubernetes).
Excellent communication and teamwork skills, able to work effectively across engineering disciplines.

Requirements:
5+ years of experience as a Data Scientist, with at least 2 years of proven experience in managing or leading a team of data scientists.
Strong background and practical experience developing and leading end-to-end Machine Learning projects.
Experience working closely with development teams
Proven hands-on experience working with Large Language Models (LLMs), including:
Building Agent-Based Frameworks to solve complex problems.
Advanced Prompt Engineering.
Defining and building Agent Workflows that interact with data sources and APIs.
Establishing and executing comprehensive validation frameworks of Gen-AI solutions.
Excellent interpersonal and leadership skills: ability to manage and develop people and build strong relationships with key internal partners.
Ability to take full ownership of projects, from initial idea through to deployment in production.
Experience working in a Big Data environment and at scale.
B.Sc in Computer Science, Physics, Mathematics, Electrical Engineering, Statistics, or a related quantitative field

Requirements:
BSc in Computer Science or equivalent (required), with an MSc as an advantage.
4+ years of hands-on software development experience, including work with one or more programming languages (Python, Go, Java, etc.).
2+ years of professional Python experience advantage.
Experience with AWS or other cloud platforms advantage.
Strong grasp of core software engineering principles: data structures, multithreading, OOP, and design patterns.
Proven experience building and scaling highly available, distributed, large-scale systems.
A fast learner who quickly absorbs new technologies and concepts.
Solid understanding of system design, distributed systems, and software architecture.
Excited about solving algorithmic challenges in transportation, routing, and navigation.
A collaborative team player with excellent communication skills who thrives in fast-paced environments.
Demonstrates strong ownership, driving projects from concept to completion.
Pragmatic and concise: able to break down complex problems into clear, manageable pieces and deliver solutions that are simple, elegant, and impactful.