דרושים » תוכנה » Full Stack Engineer - Fintech

Requirements:
Experience: 3+ years of full-stack development experience, preferably in AI/ML domains
AI Development Tools: Hands-on experience with AI-assisted coding environments, IDEs, and agent-based workflows (e.g., Cursor, Windsurf, GitHub Copilot, Codex, Claude Code, and similar platforms)
Model Knowledge: Deep understanding of different AI model capabilities, limitations, and appropriate use cases (GPT-5, Claude, Gemini, etc.)
Frontend Development: Expertise in React, TypeScript and modern web development practices
Backend Development: Strong proficiency in Java with frameworks like Dropwizard
Database & Infrastructure: Knowledge of scalable database design and containerization
Observability Tools: Experience with tracing, monitoring, and evaluation systems
Collaboration: Strong communication skills for working in a distributed, global team environment
Problem Solving: Ability to work in ambiguous environments and solve complex technical challenges
Nice to have:
Open Source: Experience contributing to or maintaining open-source projects
AI/ML Experience: Understanding of Large Language Models, RAG systems, and AI application architectures
Preferred Qualifications:
Experience with model evaluation, prompt engineering, and LLM optimization
Knowledge of distributed systems and high-throughput data processing
Familiarity with ML experiment tracking and model monitoring platforms
Experience with DevOps practices and CI/CD pipelines
Understanding of AI safety, model security, and responsible AI practices

Requirements:
BSc in Computer Science or a related degree from a recognized institution, or a strong track record in full stack development with advanced technical skills.
4+ years of experience in software engineering, with demonstrated delivery ofproduction features across both frontend and backend.
Strong proficiency with modern frontend frameworks such as React, Angular, or Vue, including TypeScript, component design, and state management for complex data-driven UIs.
Proficiency in one or more modern backend languages such as Python, Kotlin, Java, Go, C#, or equivalent, with the ability to adapt to new tools and technologies.
Solid understanding of RESTful APIs, HTTP, authentication/authorization flows, and integration of third-party tools and services.
Experience designing and consuming APIs that power rich, interactive frontend experiences.
Familiarity with distributed systems and cloud-native architecture (e.g., Kubernetes, microservices).
Working knowledge of data stores and messaging systems (e.g., PostgreSQL, Elasticsearch, Snowflake, Kafka, or Redis) sufficient to reason about performance and data flow end-to-end.
Experience with cloud platforms such as AWS, Azure, or GCP, and with modern CI/CD and frontend build/deployment workflows.
Strong problem-solving skills, with experience debugging issues across the full stack-from browser devtools to server logs and traces.
A proactive approach to task prioritization and a history of owning features from design through deployment with minimal supervision.
Prior experience working in the cybersecurity industry or with security-centric data pipelines and protocols is an advantage.
Bonus: Experience building developer-facing tools, SDKs, low-code/configuration UIs, or AI-assisted experiences

Requirements:
Bachelors degree in CS/EE from a leading university.6+ years of experience with web technologies.
Proven track record as a Senior Full Stack Developer or similar role, with a strong portfolio of successful projects demonstrating technical leadership.
Deep experience with server-side development using Node.js.
Strong understanding and hands-on experience with web technologies, architecture, and design patterns.
Experience using AI-assisted development tools (e.g., Claude Code, Cursor) to enhance productivity, generate and review code, and streamline engineering workflows.
High standards for code quality, testing, and performance, with experience establishing these standards for a team.
Proven experience working on large-scale codebases shared by multiple teams.
Solid understanding of web architecture, RESTful API design, and microservices.
Familiarity with containerization and orchestration tools like Docker and Kubernetes.
Excellent problem-solving skills, with a keen eye for detail and a strong commitment to delivering high-quality work.
Strong communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
Experience building or integrating LLM-powered features into production applications.
Experience with CI/CD pipelines that incorporate AI-assisted code review or testing.

Requirements:
7+ years of professional experience in Full-Stack development.
Proficiency in Python with a backend orientation and experience in architectural guidance.
Extensive experience with modern UI frameworks (Vue.js, React, or Angular) and advanced JavaScript/CSS.
Proven hands-on experience working with databases (e.g., MongoDB, ClickHouse) and managing data at scale.

Requirements:
What You Will Bring
Hands-on, proven experience using AI development tools such as ChatGPT, Copilot or similar on a daily basis, including code generation, testing, documentation and code review.
6+ years of professional experience as a Full Stack Engineer.
Strong development background with Java and React.
Proven ability to design and build scalable applications.
Experience in Agile environments and comfort with fast-paced iteration.
Strong problem-solving skills and ownership mentality.


Bonus:
Familiarity with AWS services and cloud infrastructure.
Knowledge of NoSQL databases.
Experience contributing to AI-driven products or features.

Requirements:
Strong hands-on experience developing backend applications with Java and Spring Boot, alongside frontend development using Angular and TypeScript.
Proven experience using AI-assisted development tools such as Claude Code or GitHub Copilot as part of the daily development workflow.
Strong understanding of PostgreSQL, JPA/Hibernate, transactions, authentication, REST APIs, and experience working with Flyway.
Hands-on experience with Git, Docker, Pull Requests, and CI/CD pipelines.
Strong debugging, code review, and critical thinking skills, with the ability to validate AI-generated code through testing rather than relying on it blindly.
Excellent communication skills and the ability to translate business requirements into high-quality technical solutions.
Nice to Have:
Experience working with Azure services, including Container Apps, Entra ID, Key Vault, Blob Storage, Bicep, and Azure Pipelines.
Experience developing enterprise SaaS or multi-tenant applications.
Familiarity with LLMs, AI-assisted development, or AI integrations.
Fluent English.

Requirements:
3+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax.
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
A deeper understanding of software development best practices and demonstrate leadership skills.
A demonstrated, genuine AI-first approach to engineering - using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
Desired Skills:
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3
Hands-on experience with Streaming technologies like Kafka
Experience with Elastic Search
Experience with Terraform, Kubernetes, Docker
Experience working in a high-paced and rapidly growing multinational organization.

Requirements:
Requirements
5+ years of experience as a full-stack developer. Using modern programming languages, frameworks, and technologies (mostly JavaScript/Typescript, Node.js and React)
A deep and precise understanding of the JavaScript language and ecosystem.
Web development skills and experience in large-scale application development in order to take our platform to the next level.
Understanding of how to build performant, decoupled, testable, and maintainable code.
Capacity to work in a time-sensitive and high-volume environment.
Enjoy sharing knowledge and helping other teammates, reviewing code and improving the current infrastructure.

Advantages
Operational experience - instrumenting code, and monitoring the errors, metrics, and analytics of large-scale web applications.
Graphical design and UX experience/inclinations. Passion for building a design system and responsive design a big plus.

Requirements:
Bachelors degree in CS/EE from a leading university - a must!

Hands-on experience with AI-assisted development workflows and LLM integrations (e.g., Cursor, Claude Code), including using AI tools to improve development productivity and code quality.
4+ years of professional software development experience, with JavaScript and web technologies.

3+ years of experience of server-side development with Node.js.

3+ years of experience of Client-side development with React.

Experience in designing and developing large distributed systems and microservices architecture.

Experience working with AWS or DevOps.

Expertise in AI models and techniques, including strategic model selection and industry awareness.

Experience working with large scale applications.

Requirements:
Bachelors degree in CS/EE from a leading university - a must!

Hands-on experience with AI-assisted development workflows and LLM integrations (e.g., Cursor, Claude Code), including using AI tools to improve development productivity and code quality.
6+ years of professional software development experience, with JavaScript and web technologies.

3+ years of experience of server-side development with Node.js.

3+ years of experience of Client-side development with React.

Experience in designing and developing large distributed systems and microservices architecture.

Experience working with AWS or DevOps.

Expertise in AI models and techniques, including strategic model selection and industry awareness.

Experience working with large scale applications.