לוח משרות דרושים Backend Engineer משרה מלאה

Requirements:
Must:
BSc in Computer Science or related degree, or equivalent practical experience.
7+ years of hands-on experience as a software Engineer
Strong proficiency in Python and experience with AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
Experience with AI APIs (OpenAI, Anthropic, Google AI, Microsoft AI) and integrating them into engineering workflows
Hands-on experience with developer productivity tools, AI-enhanced automation, and knowledge management systems
Strong problem-solving skills and ability to build AI-powered solutions that engineers love to use.
Nice to Have:
Deep understanding of LLMs, RAG (Retrieval-Augmented Generation), fine-tuning, and prompt engineering.
Experience with data pipelines, embeddings, and vector databases for AI-powered search and automation.
Experience working with cloud-based AI platforms and scalable AI architectures
Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for deploying AI applications.
Experience with AI Ops, observability tools, and monitoring AI applications in production.
Familiarity with LangChain, AutoML, MLOps frameworks, and workflow automation tools.
A background in software engineering, DevOps, or developer tooling.
Strong entrepreneurial mindset, able to identify opportunities, move fast, and drive AI adoption in a high-impact environment.
Published research, open-source contributions, or side projects demonstrating innovative AI applications.

Requirements:
Requirements
* B.Sc. in Computer Science, Data Engineering, or equivalent experience.
* 2–3+ years of backend development experience with real-time data processing, event-driven architectures, or streaming.
* Familiarity with microservices architecture and RESTful API design.
* Demonstrated proficiency in high-level programming languages such as Python, Node.js, and Go.
* Familiarity with AWS and cloud-based fundamentals.
* Strong problem-solving skills and a proactive, independent mindset. Advantages
* Experience with ML-based or rule-based fraud detection systems.
* Experience with data modeling or building scoring/decisioning systems.
* Solid understanding of DevOps practices and CI/CD pipelines. Talent We Are Looking For Independent & Self-Driven - Comfortable owning a domain with high-impact decisions. Analytical - Passionate about accuracy, performance, and outsmarting adversaries. Adaptable - Thrives where the challenges are constantly changing.
About the company Appdome's mission is to protect every mobile app in the world and its users. We provide mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform. Our platform delivers rapid, no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration-as-code ease, Threat-Events™ threat-aware UI/UX controls, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from within mobile DevOps and CI/CD pipelines. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and businesses globally. Today, Appdome's customers use our platform to secure over 50,000+ mobile apps, with protection for over 2 billion mobile end users projected. Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.

Requirements:
5+ years as a software engineer with strong focus on backend systems and platform development
Deep experience with distributed systems and microservices, including building and maintaining APIs that serve multiple teams
Hands-on expertise with modern infrastructure - AWS, Kafka, RabbitMQ, EKS, SQS, Lambda, Helm, Terraform, or Pulumi
TypeScript proficiency with Rust experience strongly preferred
Platform or core team background - you've built infrastructure that supports multiple development teams, not just end-user features
Developer empathy - you understand what makes engineers productive and can translate that into platform solutions
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture

Requirements:
5+ years backend development experience (TypeScript is an advantage)
Deep passion for GenAI, LLMs, AI Agents, and the latest developments in AI tooling
Hands-on experience with modern AI development tools like Cursor, Claude Code, and similar platforms
Familiarity with AI concepts: RAG, embeddings, mixture-of-experts, prompt crafting, LLM context engineering
Infrastructure-oriented mindset with experience scaling backend systems

Requirements:
6+ years as a backend engineer, ideally with experience in fraud detection, risk management, or high-stakes decision systems
BSc in Computer Science, Mathematics, or equivalent experience
Passionate about technology and the cat-and-mouse game of fraud prevention
Broad knowledge of modern backend frameworks, tools, and architecture-especially real-time processing and decision engines
Experience with high-scale, production-grade projects where uptime and accuracy are non-negotiale
Past contributions to open source projects (bonus points for security or fraud-related work)
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI-a commitment to exploring this field is a fundamental part of our culture

Requirements:
5+ years building backend systems that other engineers depend on daily
Deep understanding of modern backend architecture, microservices, and distributed systems
Experience leading technical projects and mentoring other engineers
Strong foundation in computer science fundamentals (degree or equivalent experience)
TypeScript and NestJS experience strongly preferred
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture

Requirements:
5+ Years of experience developing backend systems and/or services, in Python or Rust, with a strong preference to distributed systems and database-backed applications and services
Familiarity with cloud deployment schemes, especially with Kubernetes (AWS/EKS background a plus)
Familiarity with front-end tools and techniques - Advantage

Requirements:
Youre a backend engineer with at least 5 years of professional experience who values code simplicity and performance. Youve shipped software that uses LLMs to production.
You are passionate about Generative AI and its ability to help software engineers be more productive.
You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields.
You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution.
You want to work in a fast, high-growth startup environment that respects its engineers and customers.
You have experience writing developer tools (such as IDEs, static code analysis tools, or compilers).
You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience.

Requirements:
A seasoned backend engineer with deep expertise in designing and building distributed systems.
Comfortable influencing technical direction without direct management authority, operating as a technical leader and mentor.
Interested in working on an early stage project with many challenges to solve and a fast iteration cycle.
You have a track record of delivering high-quality software products on schedule and collaborating closely with product partners.
Strong technician, particularly with Go, Java or SQL, who is interested in remaining a hands-on contributor.
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how.

Requirements:
6+ years of hands-on experience in backend development
Strong proficiency in Node.js and TypeScript - Must
Proven experience with both relational (e.g., MySQL, PostgreSQL) and non-relational (e.g., MongoDB) databases.
Experience designing, building, and maintaining scalable, high-availability, and robust production-grade systems.
Expertise in developing secure, production-grade APIs and backend services for web applications.
Experience in designing and developing complex systems while collaborating with multiple stakeholders (e.g., product, other engineering teams, DevOps).
A collaborative team player with a passion for empowering other engineers.
Fluent English speaker (verbal and written communication is a must)
B.Sc. in Computer Science, or military equivalent certifications

Requirements:
5+ years of building SaaS applications, preferably in a service-oriented architecture
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Expertise in modern web development frameworks, C#, Java, or equivalent.
Experience in writing optimized SQL and working against various different datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.

Requirements:
5+ years of building SaaS applications, preferably in a service-oriented architecture
Bachelors Degree in Computer Science, Software Engineering, or equivalent.
Expertise in modern web development frameworks, C#, Java, or equivalent.
Experience in writing optimized SQL and working against various different datastores.
Demonstrated success with scalable web applications or messaging systems
Experience with web security is a plus.