לוח משרות דרושים Senior Backend Developer משרה מלאה

Requirements:
B.Sc. in Computer Science (or equivalent hands-on experience).
6+ years of backend development experience, including building production systems at scale.
Skilled in one or more modern backend languages such as Python, Go, Java, or Node.js, with strong adaptability.
Solid understanding of system design, distributed systems, and fundamentals like data structures, multithreading, and design patterns.
Fast learner with a growth mindset and a passion for innovation.
Strong communicator and a collaborative team player, comfortable leading discussions and initiatives in fast-moving environments.

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:
What Will Make You Stand Out?
Bachelor's degree in Computer Science or a related field (or equivalent professional experience)
Strong background as a Backend Engineer - at least 5 years of experience
2-3 years of hands-on experience working with AI / LLM-based systems running in production
Proficiency in Python and/or JavaScript, and experience building backend services, APIs, and scalable distributed systems
Practical experience designing and operating agentic AI workflows, including orchestration of multi-step flows involving LLMs, tools, and decision logic
Strong understanding of how LLM-based systems behave in real-world, high-scale environments, including non-deterministic behavior and failure modes.

Requirements:
What Will Make You Stand Out?
Bachelor's degree in Computer Science or a related field (or equivalent professional experience)
6+ years software development, with emphasis on backend
Experience with MongoDB
Experience with workflow systems such as Cadence or Temporal is a significant advantage
Familiarity with video processing and streaming technologies, ffmpeg or gstreamer, advantage
Strong understanding of RESTful APIs, microservices architecture, and AWS
Proficiency in Git, CI/CD, and automated testing
Strong problem-solving skills and the ability to analyze and optimize complex systems
Excellent communication and teamwork skills in English, with the ability to work collaboratively in a fast-paced environment
Strong knowledge of software development best practices, design patterns, and code quality.

Requirements:
7+ years backend development (TypeScript, Node.js) - Must
Experience with event-driven microservices and FaaS - Must
Strong background with AWS serverless (API Gateway, Lambda, CloudFormation, SAM, EventBridge) - Must
Experience with both NoSQL (MongoDB) and relational DBs - Must
Proven ability to build infrastructure, select tools, and drive best practices
B.Sc. in Computer Science or equivalent.

Requirements:
Must Haves:
5+ years in data engineering with strong Python & software engineering skills
Extensive experience with cloud platforms (AWS, GCP, Azure) and cloud-native architectures
Deep knowledge of relational (PostgreSQL) and NoSQL databases
Experience designing and implementing data warehouses and data lakes
Strong understanding of data modeling techniques
Expertise in data manipulation libraries (e.g., Pandas) and big data frameworks
Experience with data validation tools (Pydantic, Great Expectations)
Proficiency in writing and maintaining unit and integration tests (e.g., Pytest)
Nice to Haves / Advantage:
Apache Iceberg, Apache Spark, or modern data stack tools (DBT, DuckDB, Dagster, Airflow, Prefect)
Backend system design: RESTful APIs, microservices, event-driven systems, RabbitMQ, Kafka
Containerization & IaC: Docker, Kubernetes, Terraform
Stream processing: Kafka, Flink
Knowledge of compliance (GDPR, CCPA)
Mentoring or leading small teams
Excellent communication and ability to explain technical concepts clearly
Relevant cloud or data certifications.

Requirements:
● 5+ years proven hands-on experience in backend design and development (recent)
● BSc in Computer Science / SW Engineering - Must
● Proficiency in Java with Spring framework
● Experience with relational and non-relational databases (MongoDB, Elastic, PostgreSQL, MySQL)
● Experience with microservices, containerization, and cluster management (Docker, Kubernetes, etc)
● Good software design capabilities, debugging skills, and problem-solving abilities
● Experience with developing in a microservices-based architectur
● Production experience with modern cloud service providers (AWS, Azure, GCP, or alike)
● Self-driven, detail-oriented, creative, motivated, independent yet communicative & collaborative
Advantages - these will bring you to our front row:
● Experience leading and actively participating in major features development for a large-scale, distributed product
● Experience with setting up CI/CD and end-to-end test environments
● Experience with modern frontend/web/mobile/cross-platform app development (React, Vue.js)

Requirements:
5+ years of backend engineering experience
Proficiency in Node.js (NestJS/Express) - a must
Experience with Java (Vert.x or Spring) - a big advantage
Solid understanding of microservices architecture and cloud platforms (Azure/AWS/GCP)
Hands-on experience with Kafka and streaming frameworks like Kafka Streams, Flink, Spark, or Beam - an advantage
Familiarity with AI-first development tools (GitHub Copilot, Cursor) - an advantage
Experience working in production-aware, observability-driven environments - monitoring troubleshooting, and optimizing
Knowledge of Postgres, MySQL or similar, Redis, Clickhouse
Strong foundation in object-oriented design, design patterns, and clean code practices
Comfortable designing, deploying, and maintaining backend services and data flows
Passion for learning, experimenting with new tech, and building reliable systems at scale

Requirements:
10+ years of backend development experience, delivering scalable, high-quality systems
Hands-on engineer familiar with multiple languages (Ruby preferred; Go/Java a plus)
Strong cloud experience, ideally AWS, with distributed, high-scale architectures
Business- and impact-oriented, looking beyond backend tasks to the bigger product picture
Collaborative team player, working closely with product, architects, and leads
Adaptable and comfortable with context switching in a dynamic environment
Engaged communicator who enjoys a friendly, supportive team culture.

Requirements:
5+ years of backend/data engineering experience
Proficiency with Java (Vert.x, Spring or similar) - a must
Hands-on experience with Kafka and streaming frameworks like Kafka Streams, Flink, Spark, or Beam - a must
Solid understanding of microservices architecture and cloud platforms (Azure/AWS/GCP)
Familiarity with AI-first development tools (GitHub Copilot, Cursor) - an advantage
Experience working in production-aware, observability-driven environments - monitoring troubleshooting, and optimizing
Knowledge of Postgres, Redis, MySQL or similar, Clickhouse
Experience in Node.js (NestJS/Express) - a big advantage
Strong foundation in object-oriented design, design patterns, and clean code practices
Comfortable designing, deploying, and maintaining backend services and data flows
Passion for learning, experimenting with new tech, and building reliable systems at scale

Requirements:
4 + years backend or systems engineering in production environments.
Deep knowledge of distributed systems, networking, and databases.
Production proficiency with Docker, Kubernetes, CI/CD, and observability stacks.
Experience with computer‑vision/AI model serving, on‑prem/edge deployments, or security‑sensitive/government environments.
Hands‑on experience integrating LLMs (RAG, agents).
Comfort with pub/sub architectures (Kafka, MQTT).
Expertise in Python
Experience designing and operating AI inference services at scale (Triton, TensorRT, ONNX Runtime) across distributed GPU clusters.
Knowledge of stream‑processing for high‑volume video data.
Computer Science degree
Bonus:
Expertise in Go, Rust, or C++.

Requirements:
8+ 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:
3+ years of proven experience in software development, with a strong backend focus
Experience building backend services (APIs) and working with databases and storage systems
Hands-on experience with large-scale data processing and distributed systems - a strong advantage
Experience with Python or Node.js
Advanced Kubernetes skills - a strong advantage
Experience with Spark / PySpark - advantage
A strong understanding of system internals - you know how code interacts with hardware (concurrency models, memory management, I/O).
Proven debugging skills and ability to move from symptoms to root cause.
A strong can-do approach - proactive, hands-on, and not afraid to dive into complex systems

Requirements:
5+ years of hands-on software development experience
B.Sc. in Computer Science, Software Engineering, or a related field
Strong proficiency in Python
Experience working in Linux environments and with Git
Solid, practical experience with AWS and DevOps - including deployment automation, CI/CD, and cloud infrastructure management
Hands-on experience with containerization and orchestration (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation)
Practical experience building APIs and services with FastAPI, Flask, or similar Python frameworks
Experience with relational and non-relational databases - PostgreSQL, MySQL, MongoDB, DynamoDB, etc.
Agile / Scrum experience - actively contributing in a team-oriented workflow
Experience implementing monitoring and observability systems (Prometheus, Grafana, ELK, CloudWatch)
Nice to have:
Proven experience developing tools or services that support engineering workflows
Background in distributed system design or large-scale backend architectures
Exposure to integrating with internal and third-party services
Event-driven architecture experience or message brokers (Kafka, RabbitMQ, SQS)
Familiarity with multi-cloud or hybrid environments

Requirements:
Who You Are (Success Profile):
You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
What Were Looking for (Minimum Qualifications):
5+ years of proven experience in backend development with a focus on building robust, tech-driven solutions
Experience designing and developing microservices architecture using tools such as AWS, Kubernetes, RabbitMQ, SQS, and Tilt
Technical proficiency in Java and Spring Boot
Strong communication skills and a demonstrated ability to solve complex problems in a dynamic environment
A self-driven approach to exploring new technologies and driving innovation
What Will Make You Stand Out (Preferred Qualifications):
B.Sc. in Computer Science or a related field
Expertise in query optimization, data analytics, and building semantic layers.