לוח משרות דרושים Backend Engineer במרכז

Requirements:
6+ years of experience in web development and design
BSc. in CS, engineering, or equivalent
Deep understanding of Computer Science principles
AI Native - AI tools
High-level analytical skills
Fluent English.

Requirements:
Significant real-world experience developing software for production systems
Extensive Can-Do attitude
Hands-on experience and proficiency in Java/ Go (an advantage)
Experience with Cloud infrastructure and services
Exposure and experience to CI/CD/DevOps, Kubernetes, Docker, and monitoring technologies
Ability to take initiative and scope work to deliver value iteratively, making meaningful design decisions, and driving work to completion
Excellent communication skills both verbally and in writing with a passion to mentor, lead, and guide others
Strong testing abilities. Consideration of both automated testing and monitoring to improve team efficiency and reliability of production services

Requirements:
Excellent communication skills, with a passion for mentoring, leading, and guiding others
Minimum 5 years of hands-on development experience in production environments and at scale
At least 3 years of hands-on experience developing in Python
Experience with Go is a strong advantage
Significant real-world experience building software for production systems
Proficiency in working with cloud infrastructure and services
Exposure and experience with CI/CD, DevOps, Kubernetes, Docker, and monitoring technologies
A creative mindset and collaborative approach
Ability to solve complex technical challenges in a fast-paced, dynamic environment
Strong testing abilities - considering both automated testing and monitoring to improve team efficiency and production reliability

Requirements:
Bachelor's degree in Computer Science or equivalent practical experience.
3+ years of professional experience in backend development, with a strong track record.
Proficient in modern backend frameworks and programming languages (e.g., Java, Python, Go, Node.js - we dont expect you to know all of them but value adaptability and expertise).
Deep understanding of core programming principles, including data structures, multi-threading, object-oriented programming (OOP), and design patterns.
A quick learner, capable of mastering new concepts, technologies, and methodologies with ease.
A collaborative team player with excellent communication skills who thrives in a fast-paced environment.

Requirements:
4+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang)
Experience with cloud platforms (e.g. AWS, GCP, Azure)
Experience with microservices based architecture
Experience with databases and message queue technologies
Experience with continuous integration and deployment (CI/CD)
Bachelor of Science in Computer Science/Software Engineering or related field.

Requirements:
What you'll bring:

5+ years experience in backend development in either Node.js/Python/Go experience.

Strong understanding and hands-on experience in backend technologies and architecture.

Hands-on experience with SAAS architecture and distributes systems.

Ability to carry requirements from the early phase to full implementation.

Passion for learning new technologies and applying them to make a difference.

Fluent in English, both written and verbal.

And it would be great if you have (optional):

Frontend development experience and understanding.

Experience working in a startup company.

DevOps and infra-oriented experience.

Requirements:
At least 5 years of experience in backend development, with a focus on scalable infrastructure.
Strong understanding of system design principles, distributed systems, and scalability.
Proficiency in Node.js and TypeScript; experience with other backend languages is an advantage.
Expertise in both relational and NoSQL databases, including schema design, query optimization, and troubleshooting.
Proven track record of designing and deploying microservices-based architectures in production environments.
Hands-on experience with cloud providers (AWS, GCP, Azure) and container orchestration tools (e.g., Kubernetes, Docker).
Experience with monitoring and logging frameworks (e.g., Datadog, Prometheus, Grafana, ELK stack).
Deep understanding of REST APIs and event-driven architectures.
Exceptional problem-solving skills, with the ability to troubleshoot production issues effectively.
Ability to juggle multiple priorities and excel in a fast-paced environment.

Requirements:
Passionate team player with minimum 5 years of experience
Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
Experience writing code in Agile, CI/CD-based environments
Experience working in a high-growth startup environment
Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch
Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg
Experience working on large-scale services based on AWS/Azure/GCP

Requirements:
Qualifications:
* 3-4 years of managerial experience, leading small to medium engineering teams - Must
* 7+ years of experience building production-grade backend systems , with deep expertise in TypeScript and Node.js - Must
* Strong track record designing and evolving distributed, event-driven architectures (microservices, asynchronous systems, serverless where appropriate) - Must
* Experience building cloud-native systems on AWS , with a strong understanding of tradeoffs in scalability, reliability, and cost - Must
* Hands-on experience using Kafka in real production environments , with a strong understanding of internals (partitioning, ordering, consumer groups, delivery semantics, scaling, failure modes) - Must
* Practical experience with Docker-based workflows and modern containerized development practices - Must
* Familiarity with Kubernetes (including EKS) and/or ECS , and understanding how services behave when deployed and scaled in container orchestration environments - Must
* Strong experience working with both NoSQL (MongoDB) and relational databases (Postgres) , with a clear understanding of data modeling and tradeoffs - Must B.Sc . in Computer Science or equivalent experience AI-driven engineering practices
* Experience using AI-assisted development tools (ChatGPT, Claude, GitHub Copilot, Cursor, etc.) as part of daily engineering workflows - Must
* Experience leveraging LLMs to improve productivity in coding, design exploration, technical writing, and analysis - Must
* Familiarity with LLM APIs (OpenAI, Anthropic, etc.) and having built small tools or integrations using them
* Ability to critically assess AI-generated output and apply strong engineering judgment
* Interest in emerging AI tooling and how it can enhance, not replace , strong software engineering practices Our Story Chargeflow is a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in eCommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, eCommerce, and technology positions us as a beaco

Requirements:
4 years of experience as a Backend Engineer.
B.Sc in computer science, software engineering or a related field, from a well known university.
Proficiency in at least one major cloud platform - AWS, GCP, or Azure.
Proven expertise in backend server development, using languages like Python, Scala, Go, or Java.
Experience with developing and maintaining distributed systems.
Experience designing RESTful APIs.
​​Experience working with SQL or NoSQL databases.
Familiarity with Agile methodologies and CI/CD pipelines - an advantage.

Requirements:
4+ years of high-level backend development experience, with a proven track record of working in dynamic, fast-paced environments.
Strong foundational knowledge in Internet & Operating Systems, including DNS, HTTP, I/O, and Resource Management.
Hands-on experience with a variety of tech stacks, with a preference for candidates experienced in our current stack.
Proficiency in cloud services, Linux, and container technologies such as Kubernetes and Docker.
Skilled in implementing observability tools and practices in a production environment.
Experience working with SQL and NoSQL databases.
Expertise in Message Brokers like RabbitMQ, Kafka, SQS, and designing systems for scale including knowledge of distributed systems, throttling, backpressure, and circuit breakers. (Bonus)

Requirements:
2 years of experience in developing LLM-based applications
4+ years of experience in backend development.
Expertise in developing cloud based applications and distributed systems.
Strong analytical and problem-solving skills to navigate the complexities of AI and LLM integration.
Familiarity with a variety of AI models, including but not limited to large language models, and an understanding of their capabilities in tasks such as text generation, code completion, and more - An advantage.
Experience with prompt engineering techniques to achieve desired outputs from LLMs - An advantage
Excellent communication and collaboration skills to work effectively across diverse teams - A must.

Requirements:
6 years of high-level backend development experience, with a proven track record of working in dynamic, fast-paced environments.
Strong foundational knowledge in backend technologies and distributed systems.
Hands-on experience with a variety of tech stacks, with a preference for candidates experienced in our current stack: Python, Go, Docker, and Kubernetes.
Experience in end-to-end development of production-grade services, starting from system design through implementation to full delivery-including monitoring and taking responsibility for the feature after deployment.
Experience in building LLM-based applications is an advantage.

Requirements:
5+ years of professional backend engineering experience.
Strong proficiency in at least one backend programming language (Java etc).
Experience building and maintaining production-grade APIs and microservices.
Solid understanding of distributed systems, data structures, and algorithms.
Experience with SQL and NoSQL databases.
Track record of delivering consumer-facing products at scale.
Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
Familiarity with LLMs, RAG, or conversational AI.
Knowledge of vector databases and embedding technologies.
Experience with cloud platforms (AWS, GCP, Azure).
Understanding of AI/ML concepts and implementation patterns.

Requirements:
Proven Backend Expertise: 5+ years of professional experience, with astrong foundation in building and maintaining robust backend systems for large-scale consumer or enterprise products.
Technical Mastery: Advanced proficiency in at least one modern backend language (TypeScript and Node.js), with hands-on experience developing production-grade APIs and microservices. Experience with Lambda functions is a big plus.
Scalable Systems Builder: Demonstrated experience architecting and delivering high-availability services and distributed systems, leveraging patterns for reliability, performance, and security.
Cloud-Native Engineering: Deep familiarity with cloud platforms (AWS, GCP, or Azure), including hands-on experience with serverless technologies (e.g., AWS Lambda), infrastructure-as-code, and automated deployment pipelines.
Data Fluency: Solid experience with both SQL and NoSQL databases; knowledge of vector databases and embedding/search technologies is a big plus.
AI Platform Integration: Experience integrating with modern AI services (OpenAI, Hugging Face, etc.), and enthusiasm for collaborating with ML/AI specialists to bring LLMs, RAG, and conversational AI capabilities into production.
Results-Oriented Delivery: A track record of shipping consumer-facing features at scale, collaborating closely with both product and engineering teams.
Forward-Thinking Problem Solver: Eager to explore new technologies, solving complex problems using both solid engineering fundamentals and innovative approaches.