לוח משרות דרושים Senior Backend Developer

Requirements:
6+ years working as a backend engineer
BSc in Computer Science or Mathematics (or equivalent experience)
Passionate about technology
Broad knowledge of modern backend frameworks, tools, and architecture
Experience working on high scale, production-grade projects
Past contributions to open source projects are a plus
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:
Passion for agentic coding and GenAI
6+ years building backend systems that real people depend on
Experience with bots, AI, or LLMs (bonus if you've shipped something customers actually used)
A history of building things that scale-high traffic, real money, can't-go-down systems
CS/Math degree or equivalent experience
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:
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-negotiable
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:
5-7 years of backend or platform engineering experience
B.Sc. or M.Sc. in Computer Science, Software Engineering, or related field
Proven expertise in: Backend development (Node.js / Python preferred), Microservices and distributed architectures, Cloud platforms (AWS / GCP / Azure), API design and integration, Performance optimization and system scalability
Experience designing robust, production-grade systems
Deep understanding of event-driven or data-intensive architectures
Ability to translate research-level concepts into practical, deployable technology
Strong problem-solving mindset, with a passion for innovation and rapid iteration.

Requirements:
8+ years of experience in Data Engineering and/or Backend Development in AWS-based, cloud-native environments
Strong hands-on experience writing Spark jobs (PySpark) and running workloads on EMR and/or Glue
Proven ability to design and implement scalable backend services and data pipelines
Deep understanding of data modeling, data quality, pipeline optimization, and distributed systems
Experience with Infrastructure as Code and automated deployment of data infrastructure
Strong debugging, testing, and performance-tuning skills in agile environments
High level of ownership, curiosity, and problem-solving mindset.
Nice to Have:
AWS certifications (Solutions Architect, Data Engineer)
Experience with ML pipelines or AI-driven analytics
Familiarity with data governance, self-service data platforms, or data mesh architectures
Experience with PostgreSQL, DynamoDB, MongoDB
Experience building or consuming high-scale APIs
Background in multi-threaded or distributed system development
Domain experience in cybersecurity, law enforcement, or other regulated industries.

Requirements:
What It Takes - Must haves: Experience: 5+ years of experience in data platform engineering, backend engineering, or infrastructure engineering. Language Proficiency: Specific, strong proficiency in Python & software engineering principles. Cloud Native: Extensive experience with AWS, GCP, or Azure and cloud-native architectures. Databases: Deep knowledge of both relational (e.g., PostgreSQL) and NoSQL databases, including performance optimization, cost tuning, and scaling strategies. Architecture: Strong experience designing and implementing RESTful APIs, microservices architecture, and event-driven systems. Containerization & IaC: Experience with containerization technologies (Docker, Kubernetes) and Infrastructure-as-Code (e.g., Terraform, CloudFormation). System Design: Strong understanding of distributed systems principles, concurrency, and scalability patterns. Nice-to-Haves Strong Advantage: Apache Iceberg (Lakehouse/S3/Glue), Apache Spark (Optimization), Message Queues (Kafka/Kinesis), Graph Databases (Experience with schema design, cluster setup, and ongoing management of engines like Amazon Neptune or Neo4j). Tech Stack: Orchestration (Temporal/Dagster/Airflow), Modern Data Stack (dbt/DuckDB), Streaming (Flink/Kafka Streams), Observability (Datadog/Grafana). Skills: FinOps (Cost Explorer/Spot instances), CI/CD & DevOps, Data Governance (GDPR), Pydantic, and Mentorship/Leadership experience. 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 beacon for merchants facing unjust chargebacks, supported by a unique success-based approach. Backed by $49M led by Viola Growth, OpenView, Sequoia Capital and other top tier global investors, Chargeflow has embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize eCommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.

Requirements:
* BS/MS degree in Computer Science, Engineering, or a related subject
* 3-5 years' JAVA experience is a must
* SQL and data access optimization- Solid understanding of database technologies (SQL and NoSQL)
* Experience in the Spring Framework Advantages:
* Experience with Kafka is a major advantage
* Experience with event-driven systems, distributed systems and/or data -systems is a major advantage
* Experience with Docker, K8S, Git, GitLab, is a major advantage
* Excellent communication and teamwork skills.
* Experience with CI/CD pipelines and tools (Jenkins, GitLab CI, etc.).
* Vertica, Apache Airflow, and Apache NiFi advantage