דרושים » תוכנה » Backend Engineer

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:
5+ years of hands-on experience in backend development.
Strong expertise in Java, and Spring Boot, (Go - advantage).
Understanding of networking concepts (e.g., TCP/IP, DNS, VPNs, network protocols).
Deep understanding of Object-Oriented Programming and software engineering principles.
Experience with databases: NoSQL (Elasticsearch, Redis, MongoDB) and relational (MySQL).
Familiarity with microservices architecture and technologies (Docker, K8S).
Experience with cloud technologies (AWS/Azure/GCP).
Experience with React, TypeScript, and GraphQL - advantage.
Strong problem-solving skills, self-learning ability, and team collaboration mindset.
B.Sc. in Computer Science or equivalent.

Requirements:
Bachelor's degree in Computer Science or a related field
4-5 years of experience as a software engineer, with a focus on backend development
Strong understanding of scalable design principles
Experience with at least one programming language and web development technologies
Good problem-solving skills and attention to detail
Good communication skills and the ability to work well in a team environment
Strong motivation to learn and grow as a software backend engineer.

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.

Requirements:
Bachelor's degree in Computer Science or a related field
4-5 years of experience as a software engineer, with a focus on backend development
Strong understanding of scalable design principles
Experience with at least one programming language and web development technologies
Good problem-solving skills and attention to detail
Good communication skills and the ability to work well in a team environment
Strong motivation to learn and grow as a software backend engineer.

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
Proficiency in programming languages such as C#, Python, Java, or Go.
Experience building large-scale infrastructure applications or large-scale web applications.
Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.

Requirements:
5+ years of professional experience in backend development.
At least 3 years of hands-on experience with Node.js in a production environment.
Proven experience designing or maintaining shared backend systems (e.g., internal tooling, platform-level services, microservices, or APIs).
Strong understanding of application architecture, performance, and scalability in production.
Experience with cloud environments (e.g., AWS, GCP, Azure) - including deploying, managing, and scaling backend services.
Experience working with databases (SQL and/or NoSQL), including designing schemas, optimizing queries, and ensuring data integrity.
Experience working on internal platforms or infrastructure initiatives is highly desirable.
Demonstrated ability to lead projects, collaborate effectively across teams, and mentor other engineers.
Familiarity with CI/CD pipelines, testing frameworks, and building for performance, reliability, and security.
A passion for clean code, developer experience, and helping teams move faster with better tools.

Requirements:
Experience: Minimum 5 years as a Backend Engineer.
Proficiency in Python: At least 5 years of experience, or expertise in an equivalent programming language.
Microservices and APIs: Proven experience in writing and maintaining microservices and REST APIs.
SQL Expertise: Strong proficiency in SQL.
Event-Driven Development: Hands-on experience with event-based development.
Big Data Experience: Familiarity with big data and high-velocity/volume systems is a plus.
Cloud Environments: Experience with multi-cloud environments (Azure, GCP, AWS).

Requirements:
Minimum of 4 years of professional experience in backend development, with a strong proficiency in Node.js and TypeScript.
Experience working with backend frameworks such as Nest.js or similar frameworks.
Solid understanding of relational databases and experience with PostgreSQL or similar database technologies.
Familiarity with CI/CD pipelines, version control systems (e.g., Git), and agile development methodologies.
Bachelors degree in Computer Science, Engineering, or related field (or equivalent work experience).
Excellent problem-solving skills and ability to troubleshoot complex issues in a fast-paced environment.
Strong communication and collaboration skills to work effectively within a multidisciplinary team.

Requirements:
Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
Minimum of 5 years of experience in software development, with a strong focus on cloud technologies.
Familiarity with at least one cloud platform (GCP, AWS, Azure).
Familiarity with Kubernetes is a big advantage.
Familiarity with networking concepts.
Proficient in Scala (Or alternatively Java, Kotlin), NodeJS (Typescript), Kubernetes, Docker, and data queue technologies (Kafka/RabbitMQ/SQS).
Understanding of microservices and jobs architecture.
Experience with data processing frameworks such as Flink, Spark is a big advantage.
Experience working on large-scale applications is an advantage.
Knowledge of cybersecurity principles and practices is a plus.